2nthrt (problem 3.4.6)

Percentage Accurate: 53.9% → 85.5%
Time: 41.5s
Alternatives: 16
Speedup: 1.9×

Specification

?
\[\begin{array}{l} \\ {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \end{array} \]
(FPCore (x n)
 :precision binary64
 (- (pow (+ x 1.0) (/ 1.0 n)) (pow x (/ 1.0 n))))
double code(double x, double n) {
	return pow((x + 1.0), (1.0 / n)) - pow(x, (1.0 / n));
}
real(8) function code(x, n)
    real(8), intent (in) :: x
    real(8), intent (in) :: n
    code = ((x + 1.0d0) ** (1.0d0 / n)) - (x ** (1.0d0 / n))
end function
public static double code(double x, double n) {
	return Math.pow((x + 1.0), (1.0 / n)) - Math.pow(x, (1.0 / n));
}
def code(x, n):
	return math.pow((x + 1.0), (1.0 / n)) - math.pow(x, (1.0 / n))
function code(x, n)
	return Float64((Float64(x + 1.0) ^ Float64(1.0 / n)) - (x ^ Float64(1.0 / n)))
end
function tmp = code(x, n)
	tmp = ((x + 1.0) ^ (1.0 / n)) - (x ^ (1.0 / n));
end
code[x_, n_] := N[(N[Power[N[(x + 1.0), $MachinePrecision], N[(1.0 / n), $MachinePrecision]], $MachinePrecision] - N[Power[x, N[(1.0 / n), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}

\\
{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)}
\end{array}

Sampling outcomes in binary64 precision:

Local Percentage Accuracy vs ?

The average percentage accuracy by input value. Horizontal axis shows value of an input variable; the variable is choosen in the title. Vertical axis is accuracy; higher is better. Red represent the original program, while blue represents Herbie's suggestion. These can be toggled with buttons below the plot. The line is an average while dots represent individual samples.

Accuracy vs Speed?

Herbie found 16 alternatives:

AlternativeAccuracySpeedup
The accuracy (vertical axis) and speed (horizontal axis) of each alternatives. Up and to the right is better. The red square shows the initial program, and each blue circle shows an alternative.The line shows the best available speed-accuracy tradeoffs.

Initial Program: 53.9% accurate, 1.0× speedup?

\[\begin{array}{l} \\ {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \end{array} \]
(FPCore (x n)
 :precision binary64
 (- (pow (+ x 1.0) (/ 1.0 n)) (pow x (/ 1.0 n))))
double code(double x, double n) {
	return pow((x + 1.0), (1.0 / n)) - pow(x, (1.0 / n));
}
real(8) function code(x, n)
    real(8), intent (in) :: x
    real(8), intent (in) :: n
    code = ((x + 1.0d0) ** (1.0d0 / n)) - (x ** (1.0d0 / n))
end function
public static double code(double x, double n) {
	return Math.pow((x + 1.0), (1.0 / n)) - Math.pow(x, (1.0 / n));
}
def code(x, n):
	return math.pow((x + 1.0), (1.0 / n)) - math.pow(x, (1.0 / n))
function code(x, n)
	return Float64((Float64(x + 1.0) ^ Float64(1.0 / n)) - (x ^ Float64(1.0 / n)))
end
function tmp = code(x, n)
	tmp = ((x + 1.0) ^ (1.0 / n)) - (x ^ (1.0 / n));
end
code[x_, n_] := N[(N[Power[N[(x + 1.0), $MachinePrecision], N[(1.0 / n), $MachinePrecision]], $MachinePrecision] - N[Power[x, N[(1.0 / n), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}

\\
{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)}
\end{array}

Alternative 1: 85.5% accurate, 0.4× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;\frac{1}{n} \leq -0.0005:\\ \;\;\;\;\frac{\frac{1}{{x}^{\left(\frac{-1}{n}\right)}}}{n \cdot x}\\ \mathbf{elif}\;\frac{1}{n} \leq 2 \cdot 10^{-22}:\\ \;\;\;\;\frac{\frac{0.5}{n} \cdot \left({\left(\mathsf{log1p}\left(x\right)\right)}^{2} - {\log x}^{2}\right) - \log \left(\frac{x}{x + 1}\right)}{n}\\ \mathbf{else}:\\ \;\;\;\;e^{\frac{\mathsf{log1p}\left(x\right)}{n}} - {x}^{\left(\frac{1}{n}\right)}\\ \end{array} \end{array} \]
(FPCore (x n)
 :precision binary64
 (if (<= (/ 1.0 n) -0.0005)
   (/ (/ 1.0 (pow x (/ -1.0 n))) (* n x))
   (if (<= (/ 1.0 n) 2e-22)
     (/
      (-
       (* (/ 0.5 n) (- (pow (log1p x) 2.0) (pow (log x) 2.0)))
       (log (/ x (+ x 1.0))))
      n)
     (- (exp (/ (log1p x) n)) (pow x (/ 1.0 n))))))
double code(double x, double n) {
	double tmp;
	if ((1.0 / n) <= -0.0005) {
		tmp = (1.0 / pow(x, (-1.0 / n))) / (n * x);
	} else if ((1.0 / n) <= 2e-22) {
		tmp = (((0.5 / n) * (pow(log1p(x), 2.0) - pow(log(x), 2.0))) - log((x / (x + 1.0)))) / n;
	} else {
		tmp = exp((log1p(x) / n)) - pow(x, (1.0 / n));
	}
	return tmp;
}
public static double code(double x, double n) {
	double tmp;
	if ((1.0 / n) <= -0.0005) {
		tmp = (1.0 / Math.pow(x, (-1.0 / n))) / (n * x);
	} else if ((1.0 / n) <= 2e-22) {
		tmp = (((0.5 / n) * (Math.pow(Math.log1p(x), 2.0) - Math.pow(Math.log(x), 2.0))) - Math.log((x / (x + 1.0)))) / n;
	} else {
		tmp = Math.exp((Math.log1p(x) / n)) - Math.pow(x, (1.0 / n));
	}
	return tmp;
}
def code(x, n):
	tmp = 0
	if (1.0 / n) <= -0.0005:
		tmp = (1.0 / math.pow(x, (-1.0 / n))) / (n * x)
	elif (1.0 / n) <= 2e-22:
		tmp = (((0.5 / n) * (math.pow(math.log1p(x), 2.0) - math.pow(math.log(x), 2.0))) - math.log((x / (x + 1.0)))) / n
	else:
		tmp = math.exp((math.log1p(x) / n)) - math.pow(x, (1.0 / n))
	return tmp
function code(x, n)
	tmp = 0.0
	if (Float64(1.0 / n) <= -0.0005)
		tmp = Float64(Float64(1.0 / (x ^ Float64(-1.0 / n))) / Float64(n * x));
	elseif (Float64(1.0 / n) <= 2e-22)
		tmp = Float64(Float64(Float64(Float64(0.5 / n) * Float64((log1p(x) ^ 2.0) - (log(x) ^ 2.0))) - log(Float64(x / Float64(x + 1.0)))) / n);
	else
		tmp = Float64(exp(Float64(log1p(x) / n)) - (x ^ Float64(1.0 / n)));
	end
	return tmp
end
code[x_, n_] := If[LessEqual[N[(1.0 / n), $MachinePrecision], -0.0005], N[(N[(1.0 / N[Power[x, N[(-1.0 / n), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(n * x), $MachinePrecision]), $MachinePrecision], If[LessEqual[N[(1.0 / n), $MachinePrecision], 2e-22], N[(N[(N[(N[(0.5 / n), $MachinePrecision] * N[(N[Power[N[Log[1 + x], $MachinePrecision], 2.0], $MachinePrecision] - N[Power[N[Log[x], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Log[N[(x / N[(x + 1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / n), $MachinePrecision], N[(N[Exp[N[(N[Log[1 + x], $MachinePrecision] / n), $MachinePrecision]], $MachinePrecision] - N[Power[x, N[(1.0 / n), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;\frac{1}{n} \leq -0.0005:\\
\;\;\;\;\frac{\frac{1}{{x}^{\left(\frac{-1}{n}\right)}}}{n \cdot x}\\

\mathbf{elif}\;\frac{1}{n} \leq 2 \cdot 10^{-22}:\\
\;\;\;\;\frac{\frac{0.5}{n} \cdot \left({\left(\mathsf{log1p}\left(x\right)\right)}^{2} - {\log x}^{2}\right) - \log \left(\frac{x}{x + 1}\right)}{n}\\

\mathbf{else}:\\
\;\;\;\;e^{\frac{\mathsf{log1p}\left(x\right)}{n}} - {x}^{\left(\frac{1}{n}\right)}\\


\end{array}
\end{array}
Derivation
  1. Split input into 3 regimes
  2. if (/.f64 #s(literal 1 binary64) n) < -5.0000000000000001e-4

    1. Initial program 98.7%

      \[{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]
    2. Add Preprocessing
    3. Taylor expanded in x around inf

      \[\leadsto \color{blue}{\frac{e^{-1 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}}{n \cdot x}} \]
    4. Step-by-step derivation
      1. /-lowering-/.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\left(e^{-1 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right), \color{blue}{\left(n \cdot x\right)}\right) \]
      2. mul-1-negN/A

        \[\leadsto \mathsf{/.f64}\left(\left(e^{\mathsf{neg}\left(\frac{\log \left(\frac{1}{x}\right)}{n}\right)}\right), \left(n \cdot x\right)\right) \]
      3. log-recN/A

        \[\leadsto \mathsf{/.f64}\left(\left(e^{\mathsf{neg}\left(\frac{\mathsf{neg}\left(\log x\right)}{n}\right)}\right), \left(n \cdot x\right)\right) \]
      4. mul-1-negN/A

        \[\leadsto \mathsf{/.f64}\left(\left(e^{\mathsf{neg}\left(\frac{-1 \cdot \log x}{n}\right)}\right), \left(n \cdot x\right)\right) \]
      5. exp-negN/A

        \[\leadsto \mathsf{/.f64}\left(\left(\frac{1}{e^{\frac{-1 \cdot \log x}{n}}}\right), \left(\color{blue}{n} \cdot x\right)\right) \]
      6. /-lowering-/.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \left(e^{\frac{-1 \cdot \log x}{n}}\right)\right), \left(\color{blue}{n} \cdot x\right)\right) \]
      7. *-commutativeN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \left(e^{\frac{\log x \cdot -1}{n}}\right)\right), \left(n \cdot x\right)\right) \]
      8. associate-/l*N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \left(e^{\log x \cdot \frac{-1}{n}}\right)\right), \left(n \cdot x\right)\right) \]
      9. exp-to-powN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \left({x}^{\left(\frac{-1}{n}\right)}\right)\right), \left(n \cdot x\right)\right) \]
      10. metadata-evalN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \left({x}^{\left(\frac{\mathsf{neg}\left(1\right)}{n}\right)}\right)\right), \left(n \cdot x\right)\right) \]
      11. distribute-neg-fracN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \left({x}^{\left(\mathsf{neg}\left(\frac{1}{n}\right)\right)}\right)\right), \left(n \cdot x\right)\right) \]
      12. pow-lowering-pow.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \mathsf{pow.f64}\left(x, \left(\mathsf{neg}\left(\frac{1}{n}\right)\right)\right)\right), \left(n \cdot x\right)\right) \]
      13. distribute-neg-fracN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \mathsf{pow.f64}\left(x, \left(\frac{\mathsf{neg}\left(1\right)}{n}\right)\right)\right), \left(n \cdot x\right)\right) \]
      14. metadata-evalN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \mathsf{pow.f64}\left(x, \left(\frac{-1}{n}\right)\right)\right), \left(n \cdot x\right)\right) \]
      15. /-lowering-/.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(-1, n\right)\right)\right), \left(n \cdot x\right)\right) \]
      16. *-commutativeN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(-1, n\right)\right)\right), \left(x \cdot \color{blue}{n}\right)\right) \]
      17. *-lowering-*.f64100.0%

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(-1, n\right)\right)\right), \mathsf{*.f64}\left(x, \color{blue}{n}\right)\right) \]
    5. Simplified100.0%

      \[\leadsto \color{blue}{\frac{\frac{1}{{x}^{\left(\frac{-1}{n}\right)}}}{x \cdot n}} \]

    if -5.0000000000000001e-4 < (/.f64 #s(literal 1 binary64) n) < 2.0000000000000001e-22

    1. Initial program 31.1%

      \[{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]
    2. Add Preprocessing
    3. Taylor expanded in n around inf

      \[\leadsto \color{blue}{\frac{\left(\log \left(1 + x\right) + \frac{1}{2} \cdot \frac{{\log \left(1 + x\right)}^{2}}{n}\right) - \left(\log x + \frac{1}{2} \cdot \frac{{\log x}^{2}}{n}\right)}{n}} \]
    4. Step-by-step derivation
      1. /-lowering-/.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\left(\left(\log \left(1 + x\right) + \frac{1}{2} \cdot \frac{{\log \left(1 + x\right)}^{2}}{n}\right) - \left(\log x + \frac{1}{2} \cdot \frac{{\log x}^{2}}{n}\right)\right), \color{blue}{n}\right) \]
    5. Simplified79.2%

      \[\leadsto \color{blue}{\frac{\frac{0.5}{n} \cdot \left({\left(\mathsf{log1p}\left(x\right)\right)}^{2} - {\log x}^{2}\right) + \left(\mathsf{log1p}\left(x\right) - \log x\right)}{n}} \]
    6. Step-by-step derivation
      1. diff-logN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \log \left(\frac{1 + x}{x}\right)\right), n\right) \]
      2. +-commutativeN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \log \left(\frac{x + 1}{x}\right)\right), n\right) \]
      3. clear-numN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \log \left(\frac{1}{\frac{x}{x + 1}}\right)\right), n\right) \]
      4. log-recN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \left(\mathsf{neg}\left(\log \left(\frac{x}{x + 1}\right)\right)\right)\right), n\right) \]
      5. neg-lowering-neg.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\log \left(\frac{x}{x + 1}\right)\right)\right), n\right) \]
      6. log-lowering-log.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\left(\frac{x}{x + 1}\right)\right)\right)\right), n\right) \]
      7. /-lowering-/.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \left(x + 1\right)\right)\right)\right)\right), n\right) \]
      8. +-commutativeN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \left(1 + x\right)\right)\right)\right)\right), n\right) \]
      9. +-lowering-+.f6479.6%

        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right)\right)\right), n\right) \]
    7. Applied egg-rr79.6%

      \[\leadsto \frac{\frac{0.5}{n} \cdot \left({\left(\mathsf{log1p}\left(x\right)\right)}^{2} - {\log x}^{2}\right) + \color{blue}{\left(-\log \left(\frac{x}{1 + x}\right)\right)}}{n} \]

    if 2.0000000000000001e-22 < (/.f64 #s(literal 1 binary64) n)

    1. Initial program 64.3%

      \[{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]
    2. Add Preprocessing
    3. Step-by-step derivation
      1. pow-to-expN/A

        \[\leadsto \mathsf{\_.f64}\left(\left(e^{\log \left(x + 1\right) \cdot \frac{1}{n}}\right), \mathsf{pow.f64}\left(\color{blue}{x}, \mathsf{/.f64}\left(1, n\right)\right)\right) \]
      2. exp-lowering-exp.f64N/A

        \[\leadsto \mathsf{\_.f64}\left(\mathsf{exp.f64}\left(\left(\log \left(x + 1\right) \cdot \frac{1}{n}\right)\right), \mathsf{pow.f64}\left(\color{blue}{x}, \mathsf{/.f64}\left(1, n\right)\right)\right) \]
      3. un-div-invN/A

        \[\leadsto \mathsf{\_.f64}\left(\mathsf{exp.f64}\left(\left(\frac{\log \left(x + 1\right)}{n}\right)\right), \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(1, n\right)\right)\right) \]
      4. /-lowering-/.f64N/A

        \[\leadsto \mathsf{\_.f64}\left(\mathsf{exp.f64}\left(\mathsf{/.f64}\left(\log \left(x + 1\right), n\right)\right), \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(1, n\right)\right)\right) \]
      5. +-commutativeN/A

        \[\leadsto \mathsf{\_.f64}\left(\mathsf{exp.f64}\left(\mathsf{/.f64}\left(\log \left(1 + x\right), n\right)\right), \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(1, n\right)\right)\right) \]
      6. log1p-defineN/A

        \[\leadsto \mathsf{\_.f64}\left(\mathsf{exp.f64}\left(\mathsf{/.f64}\left(\left(\mathsf{log1p}\left(x\right)\right), n\right)\right), \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(1, n\right)\right)\right) \]
      7. log1p-lowering-log1p.f64100.0%

        \[\leadsto \mathsf{\_.f64}\left(\mathsf{exp.f64}\left(\mathsf{/.f64}\left(\mathsf{log1p.f64}\left(x\right), n\right)\right), \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(1, n\right)\right)\right) \]
    4. Applied egg-rr100.0%

      \[\leadsto \color{blue}{e^{\frac{\mathsf{log1p}\left(x\right)}{n}}} - {x}^{\left(\frac{1}{n}\right)} \]
  3. Recombined 3 regimes into one program.
  4. Final simplification87.9%

    \[\leadsto \begin{array}{l} \mathbf{if}\;\frac{1}{n} \leq -0.0005:\\ \;\;\;\;\frac{\frac{1}{{x}^{\left(\frac{-1}{n}\right)}}}{n \cdot x}\\ \mathbf{elif}\;\frac{1}{n} \leq 2 \cdot 10^{-22}:\\ \;\;\;\;\frac{\frac{0.5}{n} \cdot \left({\left(\mathsf{log1p}\left(x\right)\right)}^{2} - {\log x}^{2}\right) - \log \left(\frac{x}{x + 1}\right)}{n}\\ \mathbf{else}:\\ \;\;\;\;e^{\frac{\mathsf{log1p}\left(x\right)}{n}} - {x}^{\left(\frac{1}{n}\right)}\\ \end{array} \]
  5. Add Preprocessing

Alternative 2: 85.3% accurate, 0.7× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;\frac{1}{n} \leq -0.0005:\\ \;\;\;\;\frac{\frac{1}{{x}^{\left(\frac{-1}{n}\right)}}}{n \cdot x}\\ \mathbf{elif}\;\frac{1}{n} \leq 2 \cdot 10^{-22}:\\ \;\;\;\;\frac{\log \left(\frac{x}{x + 1}\right)}{0 - n}\\ \mathbf{else}:\\ \;\;\;\;e^{\frac{\mathsf{log1p}\left(x\right)}{n}} - {x}^{\left(\frac{1}{n}\right)}\\ \end{array} \end{array} \]
(FPCore (x n)
 :precision binary64
 (if (<= (/ 1.0 n) -0.0005)
   (/ (/ 1.0 (pow x (/ -1.0 n))) (* n x))
   (if (<= (/ 1.0 n) 2e-22)
     (/ (log (/ x (+ x 1.0))) (- 0.0 n))
     (- (exp (/ (log1p x) n)) (pow x (/ 1.0 n))))))
double code(double x, double n) {
	double tmp;
	if ((1.0 / n) <= -0.0005) {
		tmp = (1.0 / pow(x, (-1.0 / n))) / (n * x);
	} else if ((1.0 / n) <= 2e-22) {
		tmp = log((x / (x + 1.0))) / (0.0 - n);
	} else {
		tmp = exp((log1p(x) / n)) - pow(x, (1.0 / n));
	}
	return tmp;
}
public static double code(double x, double n) {
	double tmp;
	if ((1.0 / n) <= -0.0005) {
		tmp = (1.0 / Math.pow(x, (-1.0 / n))) / (n * x);
	} else if ((1.0 / n) <= 2e-22) {
		tmp = Math.log((x / (x + 1.0))) / (0.0 - n);
	} else {
		tmp = Math.exp((Math.log1p(x) / n)) - Math.pow(x, (1.0 / n));
	}
	return tmp;
}
def code(x, n):
	tmp = 0
	if (1.0 / n) <= -0.0005:
		tmp = (1.0 / math.pow(x, (-1.0 / n))) / (n * x)
	elif (1.0 / n) <= 2e-22:
		tmp = math.log((x / (x + 1.0))) / (0.0 - n)
	else:
		tmp = math.exp((math.log1p(x) / n)) - math.pow(x, (1.0 / n))
	return tmp
function code(x, n)
	tmp = 0.0
	if (Float64(1.0 / n) <= -0.0005)
		tmp = Float64(Float64(1.0 / (x ^ Float64(-1.0 / n))) / Float64(n * x));
	elseif (Float64(1.0 / n) <= 2e-22)
		tmp = Float64(log(Float64(x / Float64(x + 1.0))) / Float64(0.0 - n));
	else
		tmp = Float64(exp(Float64(log1p(x) / n)) - (x ^ Float64(1.0 / n)));
	end
	return tmp
end
code[x_, n_] := If[LessEqual[N[(1.0 / n), $MachinePrecision], -0.0005], N[(N[(1.0 / N[Power[x, N[(-1.0 / n), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(n * x), $MachinePrecision]), $MachinePrecision], If[LessEqual[N[(1.0 / n), $MachinePrecision], 2e-22], N[(N[Log[N[(x / N[(x + 1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(0.0 - n), $MachinePrecision]), $MachinePrecision], N[(N[Exp[N[(N[Log[1 + x], $MachinePrecision] / n), $MachinePrecision]], $MachinePrecision] - N[Power[x, N[(1.0 / n), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;\frac{1}{n} \leq -0.0005:\\
\;\;\;\;\frac{\frac{1}{{x}^{\left(\frac{-1}{n}\right)}}}{n \cdot x}\\

\mathbf{elif}\;\frac{1}{n} \leq 2 \cdot 10^{-22}:\\
\;\;\;\;\frac{\log \left(\frac{x}{x + 1}\right)}{0 - n}\\

\mathbf{else}:\\
\;\;\;\;e^{\frac{\mathsf{log1p}\left(x\right)}{n}} - {x}^{\left(\frac{1}{n}\right)}\\


\end{array}
\end{array}
Derivation
  1. Split input into 3 regimes
  2. if (/.f64 #s(literal 1 binary64) n) < -5.0000000000000001e-4

    1. Initial program 98.7%

      \[{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]
    2. Add Preprocessing
    3. Taylor expanded in x around inf

      \[\leadsto \color{blue}{\frac{e^{-1 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}}{n \cdot x}} \]
    4. Step-by-step derivation
      1. /-lowering-/.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\left(e^{-1 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right), \color{blue}{\left(n \cdot x\right)}\right) \]
      2. mul-1-negN/A

        \[\leadsto \mathsf{/.f64}\left(\left(e^{\mathsf{neg}\left(\frac{\log \left(\frac{1}{x}\right)}{n}\right)}\right), \left(n \cdot x\right)\right) \]
      3. log-recN/A

        \[\leadsto \mathsf{/.f64}\left(\left(e^{\mathsf{neg}\left(\frac{\mathsf{neg}\left(\log x\right)}{n}\right)}\right), \left(n \cdot x\right)\right) \]
      4. mul-1-negN/A

        \[\leadsto \mathsf{/.f64}\left(\left(e^{\mathsf{neg}\left(\frac{-1 \cdot \log x}{n}\right)}\right), \left(n \cdot x\right)\right) \]
      5. exp-negN/A

        \[\leadsto \mathsf{/.f64}\left(\left(\frac{1}{e^{\frac{-1 \cdot \log x}{n}}}\right), \left(\color{blue}{n} \cdot x\right)\right) \]
      6. /-lowering-/.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \left(e^{\frac{-1 \cdot \log x}{n}}\right)\right), \left(\color{blue}{n} \cdot x\right)\right) \]
      7. *-commutativeN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \left(e^{\frac{\log x \cdot -1}{n}}\right)\right), \left(n \cdot x\right)\right) \]
      8. associate-/l*N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \left(e^{\log x \cdot \frac{-1}{n}}\right)\right), \left(n \cdot x\right)\right) \]
      9. exp-to-powN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \left({x}^{\left(\frac{-1}{n}\right)}\right)\right), \left(n \cdot x\right)\right) \]
      10. metadata-evalN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \left({x}^{\left(\frac{\mathsf{neg}\left(1\right)}{n}\right)}\right)\right), \left(n \cdot x\right)\right) \]
      11. distribute-neg-fracN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \left({x}^{\left(\mathsf{neg}\left(\frac{1}{n}\right)\right)}\right)\right), \left(n \cdot x\right)\right) \]
      12. pow-lowering-pow.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \mathsf{pow.f64}\left(x, \left(\mathsf{neg}\left(\frac{1}{n}\right)\right)\right)\right), \left(n \cdot x\right)\right) \]
      13. distribute-neg-fracN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \mathsf{pow.f64}\left(x, \left(\frac{\mathsf{neg}\left(1\right)}{n}\right)\right)\right), \left(n \cdot x\right)\right) \]
      14. metadata-evalN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \mathsf{pow.f64}\left(x, \left(\frac{-1}{n}\right)\right)\right), \left(n \cdot x\right)\right) \]
      15. /-lowering-/.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(-1, n\right)\right)\right), \left(n \cdot x\right)\right) \]
      16. *-commutativeN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(-1, n\right)\right)\right), \left(x \cdot \color{blue}{n}\right)\right) \]
      17. *-lowering-*.f64100.0%

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(-1, n\right)\right)\right), \mathsf{*.f64}\left(x, \color{blue}{n}\right)\right) \]
    5. Simplified100.0%

      \[\leadsto \color{blue}{\frac{\frac{1}{{x}^{\left(\frac{-1}{n}\right)}}}{x \cdot n}} \]

    if -5.0000000000000001e-4 < (/.f64 #s(literal 1 binary64) n) < 2.0000000000000001e-22

    1. Initial program 31.1%

      \[{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]
    2. Add Preprocessing
    3. Taylor expanded in n around inf

      \[\leadsto \color{blue}{\frac{\left(\log \left(1 + x\right) + \frac{1}{2} \cdot \frac{{\log \left(1 + x\right)}^{2}}{n}\right) - \left(\log x + \frac{1}{2} \cdot \frac{{\log x}^{2}}{n}\right)}{n}} \]
    4. Step-by-step derivation
      1. /-lowering-/.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\left(\left(\log \left(1 + x\right) + \frac{1}{2} \cdot \frac{{\log \left(1 + x\right)}^{2}}{n}\right) - \left(\log x + \frac{1}{2} \cdot \frac{{\log x}^{2}}{n}\right)\right), \color{blue}{n}\right) \]
    5. Simplified79.2%

      \[\leadsto \color{blue}{\frac{\frac{0.5}{n} \cdot \left({\left(\mathsf{log1p}\left(x\right)\right)}^{2} - {\log x}^{2}\right) + \left(\mathsf{log1p}\left(x\right) - \log x\right)}{n}} \]
    6. Step-by-step derivation
      1. diff-logN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \log \left(\frac{1 + x}{x}\right)\right), n\right) \]
      2. +-commutativeN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \log \left(\frac{x + 1}{x}\right)\right), n\right) \]
      3. clear-numN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \log \left(\frac{1}{\frac{x}{x + 1}}\right)\right), n\right) \]
      4. log-recN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \left(\mathsf{neg}\left(\log \left(\frac{x}{x + 1}\right)\right)\right)\right), n\right) \]
      5. neg-lowering-neg.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\log \left(\frac{x}{x + 1}\right)\right)\right), n\right) \]
      6. log-lowering-log.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\left(\frac{x}{x + 1}\right)\right)\right)\right), n\right) \]
      7. /-lowering-/.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \left(x + 1\right)\right)\right)\right)\right), n\right) \]
      8. +-commutativeN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \left(1 + x\right)\right)\right)\right)\right), n\right) \]
      9. +-lowering-+.f6479.6%

        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right)\right)\right), n\right) \]
    7. Applied egg-rr79.6%

      \[\leadsto \frac{\frac{0.5}{n} \cdot \left({\left(\mathsf{log1p}\left(x\right)\right)}^{2} - {\log x}^{2}\right) + \color{blue}{\left(-\log \left(\frac{x}{1 + x}\right)\right)}}{n} \]
    8. Taylor expanded in n around inf

      \[\leadsto \color{blue}{-1 \cdot \frac{\log \left(\frac{x}{1 + x}\right)}{n}} \]
    9. Step-by-step derivation
      1. mul-1-negN/A

        \[\leadsto \mathsf{neg}\left(\frac{\log \left(\frac{x}{1 + x}\right)}{n}\right) \]
      2. distribute-neg-frac2N/A

        \[\leadsto \frac{\log \left(\frac{x}{1 + x}\right)}{\color{blue}{\mathsf{neg}\left(n\right)}} \]
      3. mul-1-negN/A

        \[\leadsto \frac{\log \left(\frac{x}{1 + x}\right)}{-1 \cdot \color{blue}{n}} \]
      4. /-lowering-/.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\log \left(\frac{x}{1 + x}\right), \color{blue}{\left(-1 \cdot n\right)}\right) \]
      5. log-lowering-log.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\left(\frac{x}{1 + x}\right)\right), \left(\color{blue}{-1} \cdot n\right)\right) \]
      6. /-lowering-/.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \left(1 + x\right)\right)\right), \left(-1 \cdot n\right)\right) \]
      7. +-lowering-+.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right), \left(-1 \cdot n\right)\right) \]
      8. mul-1-negN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right), \left(\mathsf{neg}\left(n\right)\right)\right) \]
      9. neg-lowering-neg.f6479.3%

        \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right), \mathsf{neg.f64}\left(n\right)\right) \]
    10. Simplified79.3%

      \[\leadsto \color{blue}{\frac{\log \left(\frac{x}{1 + x}\right)}{-n}} \]

    if 2.0000000000000001e-22 < (/.f64 #s(literal 1 binary64) n)

    1. Initial program 64.3%

      \[{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]
    2. Add Preprocessing
    3. Step-by-step derivation
      1. pow-to-expN/A

        \[\leadsto \mathsf{\_.f64}\left(\left(e^{\log \left(x + 1\right) \cdot \frac{1}{n}}\right), \mathsf{pow.f64}\left(\color{blue}{x}, \mathsf{/.f64}\left(1, n\right)\right)\right) \]
      2. exp-lowering-exp.f64N/A

        \[\leadsto \mathsf{\_.f64}\left(\mathsf{exp.f64}\left(\left(\log \left(x + 1\right) \cdot \frac{1}{n}\right)\right), \mathsf{pow.f64}\left(\color{blue}{x}, \mathsf{/.f64}\left(1, n\right)\right)\right) \]
      3. un-div-invN/A

        \[\leadsto \mathsf{\_.f64}\left(\mathsf{exp.f64}\left(\left(\frac{\log \left(x + 1\right)}{n}\right)\right), \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(1, n\right)\right)\right) \]
      4. /-lowering-/.f64N/A

        \[\leadsto \mathsf{\_.f64}\left(\mathsf{exp.f64}\left(\mathsf{/.f64}\left(\log \left(x + 1\right), n\right)\right), \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(1, n\right)\right)\right) \]
      5. +-commutativeN/A

        \[\leadsto \mathsf{\_.f64}\left(\mathsf{exp.f64}\left(\mathsf{/.f64}\left(\log \left(1 + x\right), n\right)\right), \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(1, n\right)\right)\right) \]
      6. log1p-defineN/A

        \[\leadsto \mathsf{\_.f64}\left(\mathsf{exp.f64}\left(\mathsf{/.f64}\left(\left(\mathsf{log1p}\left(x\right)\right), n\right)\right), \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(1, n\right)\right)\right) \]
      7. log1p-lowering-log1p.f64100.0%

        \[\leadsto \mathsf{\_.f64}\left(\mathsf{exp.f64}\left(\mathsf{/.f64}\left(\mathsf{log1p.f64}\left(x\right), n\right)\right), \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(1, n\right)\right)\right) \]
    4. Applied egg-rr100.0%

      \[\leadsto \color{blue}{e^{\frac{\mathsf{log1p}\left(x\right)}{n}}} - {x}^{\left(\frac{1}{n}\right)} \]
  3. Recombined 3 regimes into one program.
  4. Final simplification87.7%

    \[\leadsto \begin{array}{l} \mathbf{if}\;\frac{1}{n} \leq -0.0005:\\ \;\;\;\;\frac{\frac{1}{{x}^{\left(\frac{-1}{n}\right)}}}{n \cdot x}\\ \mathbf{elif}\;\frac{1}{n} \leq 2 \cdot 10^{-22}:\\ \;\;\;\;\frac{\log \left(\frac{x}{x + 1}\right)}{0 - n}\\ \mathbf{else}:\\ \;\;\;\;e^{\frac{\mathsf{log1p}\left(x\right)}{n}} - {x}^{\left(\frac{1}{n}\right)}\\ \end{array} \]
  5. Add Preprocessing

Alternative 3: 81.8% accurate, 1.6× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := {x}^{\left(\frac{-1}{n}\right)}\\ \mathbf{if}\;\frac{1}{n} \leq -0.0005:\\ \;\;\;\;\frac{\frac{1}{t\_0}}{n \cdot x}\\ \mathbf{elif}\;\frac{1}{n} \leq 2 \cdot 10^{-22}:\\ \;\;\;\;\frac{\log \left(\frac{x}{x + 1}\right)}{0 - n}\\ \mathbf{else}:\\ \;\;\;\;\left(\frac{-1}{t\_0} + 1\right) - x \cdot \frac{-1 - x \cdot \frac{0.5}{n}}{n}\\ \end{array} \end{array} \]
(FPCore (x n)
 :precision binary64
 (let* ((t_0 (pow x (/ -1.0 n))))
   (if (<= (/ 1.0 n) -0.0005)
     (/ (/ 1.0 t_0) (* n x))
     (if (<= (/ 1.0 n) 2e-22)
       (/ (log (/ x (+ x 1.0))) (- 0.0 n))
       (- (+ (/ -1.0 t_0) 1.0) (* x (/ (- -1.0 (* x (/ 0.5 n))) n)))))))
double code(double x, double n) {
	double t_0 = pow(x, (-1.0 / n));
	double tmp;
	if ((1.0 / n) <= -0.0005) {
		tmp = (1.0 / t_0) / (n * x);
	} else if ((1.0 / n) <= 2e-22) {
		tmp = log((x / (x + 1.0))) / (0.0 - n);
	} else {
		tmp = ((-1.0 / t_0) + 1.0) - (x * ((-1.0 - (x * (0.5 / n))) / n));
	}
	return tmp;
}
real(8) function code(x, n)
    real(8), intent (in) :: x
    real(8), intent (in) :: n
    real(8) :: t_0
    real(8) :: tmp
    t_0 = x ** ((-1.0d0) / n)
    if ((1.0d0 / n) <= (-0.0005d0)) then
        tmp = (1.0d0 / t_0) / (n * x)
    else if ((1.0d0 / n) <= 2d-22) then
        tmp = log((x / (x + 1.0d0))) / (0.0d0 - n)
    else
        tmp = (((-1.0d0) / t_0) + 1.0d0) - (x * (((-1.0d0) - (x * (0.5d0 / n))) / n))
    end if
    code = tmp
end function
public static double code(double x, double n) {
	double t_0 = Math.pow(x, (-1.0 / n));
	double tmp;
	if ((1.0 / n) <= -0.0005) {
		tmp = (1.0 / t_0) / (n * x);
	} else if ((1.0 / n) <= 2e-22) {
		tmp = Math.log((x / (x + 1.0))) / (0.0 - n);
	} else {
		tmp = ((-1.0 / t_0) + 1.0) - (x * ((-1.0 - (x * (0.5 / n))) / n));
	}
	return tmp;
}
def code(x, n):
	t_0 = math.pow(x, (-1.0 / n))
	tmp = 0
	if (1.0 / n) <= -0.0005:
		tmp = (1.0 / t_0) / (n * x)
	elif (1.0 / n) <= 2e-22:
		tmp = math.log((x / (x + 1.0))) / (0.0 - n)
	else:
		tmp = ((-1.0 / t_0) + 1.0) - (x * ((-1.0 - (x * (0.5 / n))) / n))
	return tmp
function code(x, n)
	t_0 = x ^ Float64(-1.0 / n)
	tmp = 0.0
	if (Float64(1.0 / n) <= -0.0005)
		tmp = Float64(Float64(1.0 / t_0) / Float64(n * x));
	elseif (Float64(1.0 / n) <= 2e-22)
		tmp = Float64(log(Float64(x / Float64(x + 1.0))) / Float64(0.0 - n));
	else
		tmp = Float64(Float64(Float64(-1.0 / t_0) + 1.0) - Float64(x * Float64(Float64(-1.0 - Float64(x * Float64(0.5 / n))) / n)));
	end
	return tmp
end
function tmp_2 = code(x, n)
	t_0 = x ^ (-1.0 / n);
	tmp = 0.0;
	if ((1.0 / n) <= -0.0005)
		tmp = (1.0 / t_0) / (n * x);
	elseif ((1.0 / n) <= 2e-22)
		tmp = log((x / (x + 1.0))) / (0.0 - n);
	else
		tmp = ((-1.0 / t_0) + 1.0) - (x * ((-1.0 - (x * (0.5 / n))) / n));
	end
	tmp_2 = tmp;
end
code[x_, n_] := Block[{t$95$0 = N[Power[x, N[(-1.0 / n), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(1.0 / n), $MachinePrecision], -0.0005], N[(N[(1.0 / t$95$0), $MachinePrecision] / N[(n * x), $MachinePrecision]), $MachinePrecision], If[LessEqual[N[(1.0 / n), $MachinePrecision], 2e-22], N[(N[Log[N[(x / N[(x + 1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(0.0 - n), $MachinePrecision]), $MachinePrecision], N[(N[(N[(-1.0 / t$95$0), $MachinePrecision] + 1.0), $MachinePrecision] - N[(x * N[(N[(-1.0 - N[(x * N[(0.5 / n), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / n), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}

\\
\begin{array}{l}
t_0 := {x}^{\left(\frac{-1}{n}\right)}\\
\mathbf{if}\;\frac{1}{n} \leq -0.0005:\\
\;\;\;\;\frac{\frac{1}{t\_0}}{n \cdot x}\\

\mathbf{elif}\;\frac{1}{n} \leq 2 \cdot 10^{-22}:\\
\;\;\;\;\frac{\log \left(\frac{x}{x + 1}\right)}{0 - n}\\

\mathbf{else}:\\
\;\;\;\;\left(\frac{-1}{t\_0} + 1\right) - x \cdot \frac{-1 - x \cdot \frac{0.5}{n}}{n}\\


\end{array}
\end{array}
Derivation
  1. Split input into 3 regimes
  2. if (/.f64 #s(literal 1 binary64) n) < -5.0000000000000001e-4

    1. Initial program 98.7%

      \[{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]
    2. Add Preprocessing
    3. Taylor expanded in x around inf

      \[\leadsto \color{blue}{\frac{e^{-1 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}}{n \cdot x}} \]
    4. Step-by-step derivation
      1. /-lowering-/.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\left(e^{-1 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right), \color{blue}{\left(n \cdot x\right)}\right) \]
      2. mul-1-negN/A

        \[\leadsto \mathsf{/.f64}\left(\left(e^{\mathsf{neg}\left(\frac{\log \left(\frac{1}{x}\right)}{n}\right)}\right), \left(n \cdot x\right)\right) \]
      3. log-recN/A

        \[\leadsto \mathsf{/.f64}\left(\left(e^{\mathsf{neg}\left(\frac{\mathsf{neg}\left(\log x\right)}{n}\right)}\right), \left(n \cdot x\right)\right) \]
      4. mul-1-negN/A

        \[\leadsto \mathsf{/.f64}\left(\left(e^{\mathsf{neg}\left(\frac{-1 \cdot \log x}{n}\right)}\right), \left(n \cdot x\right)\right) \]
      5. exp-negN/A

        \[\leadsto \mathsf{/.f64}\left(\left(\frac{1}{e^{\frac{-1 \cdot \log x}{n}}}\right), \left(\color{blue}{n} \cdot x\right)\right) \]
      6. /-lowering-/.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \left(e^{\frac{-1 \cdot \log x}{n}}\right)\right), \left(\color{blue}{n} \cdot x\right)\right) \]
      7. *-commutativeN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \left(e^{\frac{\log x \cdot -1}{n}}\right)\right), \left(n \cdot x\right)\right) \]
      8. associate-/l*N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \left(e^{\log x \cdot \frac{-1}{n}}\right)\right), \left(n \cdot x\right)\right) \]
      9. exp-to-powN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \left({x}^{\left(\frac{-1}{n}\right)}\right)\right), \left(n \cdot x\right)\right) \]
      10. metadata-evalN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \left({x}^{\left(\frac{\mathsf{neg}\left(1\right)}{n}\right)}\right)\right), \left(n \cdot x\right)\right) \]
      11. distribute-neg-fracN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \left({x}^{\left(\mathsf{neg}\left(\frac{1}{n}\right)\right)}\right)\right), \left(n \cdot x\right)\right) \]
      12. pow-lowering-pow.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \mathsf{pow.f64}\left(x, \left(\mathsf{neg}\left(\frac{1}{n}\right)\right)\right)\right), \left(n \cdot x\right)\right) \]
      13. distribute-neg-fracN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \mathsf{pow.f64}\left(x, \left(\frac{\mathsf{neg}\left(1\right)}{n}\right)\right)\right), \left(n \cdot x\right)\right) \]
      14. metadata-evalN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \mathsf{pow.f64}\left(x, \left(\frac{-1}{n}\right)\right)\right), \left(n \cdot x\right)\right) \]
      15. /-lowering-/.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(-1, n\right)\right)\right), \left(n \cdot x\right)\right) \]
      16. *-commutativeN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(-1, n\right)\right)\right), \left(x \cdot \color{blue}{n}\right)\right) \]
      17. *-lowering-*.f64100.0%

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(-1, n\right)\right)\right), \mathsf{*.f64}\left(x, \color{blue}{n}\right)\right) \]
    5. Simplified100.0%

      \[\leadsto \color{blue}{\frac{\frac{1}{{x}^{\left(\frac{-1}{n}\right)}}}{x \cdot n}} \]

    if -5.0000000000000001e-4 < (/.f64 #s(literal 1 binary64) n) < 2.0000000000000001e-22

    1. Initial program 31.1%

      \[{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]
    2. Add Preprocessing
    3. Taylor expanded in n around inf

      \[\leadsto \color{blue}{\frac{\left(\log \left(1 + x\right) + \frac{1}{2} \cdot \frac{{\log \left(1 + x\right)}^{2}}{n}\right) - \left(\log x + \frac{1}{2} \cdot \frac{{\log x}^{2}}{n}\right)}{n}} \]
    4. Step-by-step derivation
      1. /-lowering-/.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\left(\left(\log \left(1 + x\right) + \frac{1}{2} \cdot \frac{{\log \left(1 + x\right)}^{2}}{n}\right) - \left(\log x + \frac{1}{2} \cdot \frac{{\log x}^{2}}{n}\right)\right), \color{blue}{n}\right) \]
    5. Simplified79.2%

      \[\leadsto \color{blue}{\frac{\frac{0.5}{n} \cdot \left({\left(\mathsf{log1p}\left(x\right)\right)}^{2} - {\log x}^{2}\right) + \left(\mathsf{log1p}\left(x\right) - \log x\right)}{n}} \]
    6. Step-by-step derivation
      1. diff-logN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \log \left(\frac{1 + x}{x}\right)\right), n\right) \]
      2. +-commutativeN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \log \left(\frac{x + 1}{x}\right)\right), n\right) \]
      3. clear-numN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \log \left(\frac{1}{\frac{x}{x + 1}}\right)\right), n\right) \]
      4. log-recN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \left(\mathsf{neg}\left(\log \left(\frac{x}{x + 1}\right)\right)\right)\right), n\right) \]
      5. neg-lowering-neg.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\log \left(\frac{x}{x + 1}\right)\right)\right), n\right) \]
      6. log-lowering-log.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\left(\frac{x}{x + 1}\right)\right)\right)\right), n\right) \]
      7. /-lowering-/.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \left(x + 1\right)\right)\right)\right)\right), n\right) \]
      8. +-commutativeN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \left(1 + x\right)\right)\right)\right)\right), n\right) \]
      9. +-lowering-+.f6479.6%

        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right)\right)\right), n\right) \]
    7. Applied egg-rr79.6%

      \[\leadsto \frac{\frac{0.5}{n} \cdot \left({\left(\mathsf{log1p}\left(x\right)\right)}^{2} - {\log x}^{2}\right) + \color{blue}{\left(-\log \left(\frac{x}{1 + x}\right)\right)}}{n} \]
    8. Taylor expanded in n around inf

      \[\leadsto \color{blue}{-1 \cdot \frac{\log \left(\frac{x}{1 + x}\right)}{n}} \]
    9. Step-by-step derivation
      1. mul-1-negN/A

        \[\leadsto \mathsf{neg}\left(\frac{\log \left(\frac{x}{1 + x}\right)}{n}\right) \]
      2. distribute-neg-frac2N/A

        \[\leadsto \frac{\log \left(\frac{x}{1 + x}\right)}{\color{blue}{\mathsf{neg}\left(n\right)}} \]
      3. mul-1-negN/A

        \[\leadsto \frac{\log \left(\frac{x}{1 + x}\right)}{-1 \cdot \color{blue}{n}} \]
      4. /-lowering-/.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\log \left(\frac{x}{1 + x}\right), \color{blue}{\left(-1 \cdot n\right)}\right) \]
      5. log-lowering-log.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\left(\frac{x}{1 + x}\right)\right), \left(\color{blue}{-1} \cdot n\right)\right) \]
      6. /-lowering-/.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \left(1 + x\right)\right)\right), \left(-1 \cdot n\right)\right) \]
      7. +-lowering-+.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right), \left(-1 \cdot n\right)\right) \]
      8. mul-1-negN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right), \left(\mathsf{neg}\left(n\right)\right)\right) \]
      9. neg-lowering-neg.f6479.3%

        \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right), \mathsf{neg.f64}\left(n\right)\right) \]
    10. Simplified79.3%

      \[\leadsto \color{blue}{\frac{\log \left(\frac{x}{1 + x}\right)}{-n}} \]

    if 2.0000000000000001e-22 < (/.f64 #s(literal 1 binary64) n)

    1. Initial program 64.3%

      \[{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]
    2. Add Preprocessing
    3. Taylor expanded in x around 0

      \[\leadsto \color{blue}{\left(1 + x \cdot \left(x \cdot \left(\frac{1}{2} \cdot \frac{1}{{n}^{2}} - \frac{1}{2} \cdot \frac{1}{n}\right) + \frac{1}{n}\right)\right) - e^{\frac{\log x}{n}}} \]
    4. Simplified65.6%

      \[\leadsto \color{blue}{\left(1 + \frac{-1}{{x}^{\left(\frac{-1}{n}\right)}}\right) + x \cdot \left(\frac{1}{n} + x \cdot \left(\frac{0.5}{n \cdot n} + \frac{-0.5}{n}\right)\right)} \]
    5. Taylor expanded in n around inf

      \[\leadsto \mathsf{+.f64}\left(\mathsf{+.f64}\left(1, \mathsf{/.f64}\left(-1, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(-1, n\right)\right)\right)\right), \mathsf{*.f64}\left(x, \color{blue}{\left(\frac{1 + \left(\frac{-1}{2} \cdot x + \frac{1}{2} \cdot \frac{x}{n}\right)}{n}\right)}\right)\right) \]
    6. Step-by-step derivation
      1. /-lowering-/.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{+.f64}\left(1, \mathsf{/.f64}\left(-1, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(-1, n\right)\right)\right)\right), \mathsf{*.f64}\left(x, \mathsf{/.f64}\left(\left(1 + \left(\frac{-1}{2} \cdot x + \frac{1}{2} \cdot \frac{x}{n}\right)\right), \color{blue}{n}\right)\right)\right) \]
      2. +-lowering-+.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{+.f64}\left(1, \mathsf{/.f64}\left(-1, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(-1, n\right)\right)\right)\right), \mathsf{*.f64}\left(x, \mathsf{/.f64}\left(\mathsf{+.f64}\left(1, \left(\frac{-1}{2} \cdot x + \frac{1}{2} \cdot \frac{x}{n}\right)\right), n\right)\right)\right) \]
      3. +-lowering-+.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{+.f64}\left(1, \mathsf{/.f64}\left(-1, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(-1, n\right)\right)\right)\right), \mathsf{*.f64}\left(x, \mathsf{/.f64}\left(\mathsf{+.f64}\left(1, \mathsf{+.f64}\left(\left(\frac{-1}{2} \cdot x\right), \left(\frac{1}{2} \cdot \frac{x}{n}\right)\right)\right), n\right)\right)\right) \]
      4. *-commutativeN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{+.f64}\left(1, \mathsf{/.f64}\left(-1, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(-1, n\right)\right)\right)\right), \mathsf{*.f64}\left(x, \mathsf{/.f64}\left(\mathsf{+.f64}\left(1, \mathsf{+.f64}\left(\left(x \cdot \frac{-1}{2}\right), \left(\frac{1}{2} \cdot \frac{x}{n}\right)\right)\right), n\right)\right)\right) \]
      5. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{+.f64}\left(1, \mathsf{/.f64}\left(-1, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(-1, n\right)\right)\right)\right), \mathsf{*.f64}\left(x, \mathsf{/.f64}\left(\mathsf{+.f64}\left(1, \mathsf{+.f64}\left(\mathsf{*.f64}\left(x, \frac{-1}{2}\right), \left(\frac{1}{2} \cdot \frac{x}{n}\right)\right)\right), n\right)\right)\right) \]
      6. associate-*r/N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{+.f64}\left(1, \mathsf{/.f64}\left(-1, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(-1, n\right)\right)\right)\right), \mathsf{*.f64}\left(x, \mathsf{/.f64}\left(\mathsf{+.f64}\left(1, \mathsf{+.f64}\left(\mathsf{*.f64}\left(x, \frac{-1}{2}\right), \left(\frac{\frac{1}{2} \cdot x}{n}\right)\right)\right), n\right)\right)\right) \]
      7. /-lowering-/.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{+.f64}\left(1, \mathsf{/.f64}\left(-1, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(-1, n\right)\right)\right)\right), \mathsf{*.f64}\left(x, \mathsf{/.f64}\left(\mathsf{+.f64}\left(1, \mathsf{+.f64}\left(\mathsf{*.f64}\left(x, \frac{-1}{2}\right), \mathsf{/.f64}\left(\left(\frac{1}{2} \cdot x\right), n\right)\right)\right), n\right)\right)\right) \]
      8. *-lowering-*.f6476.4%

        \[\leadsto \mathsf{+.f64}\left(\mathsf{+.f64}\left(1, \mathsf{/.f64}\left(-1, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(-1, n\right)\right)\right)\right), \mathsf{*.f64}\left(x, \mathsf{/.f64}\left(\mathsf{+.f64}\left(1, \mathsf{+.f64}\left(\mathsf{*.f64}\left(x, \frac{-1}{2}\right), \mathsf{/.f64}\left(\mathsf{*.f64}\left(\frac{1}{2}, x\right), n\right)\right)\right), n\right)\right)\right) \]
    7. Simplified76.4%

      \[\leadsto \left(1 + \frac{-1}{{x}^{\left(\frac{-1}{n}\right)}}\right) + x \cdot \color{blue}{\frac{1 + \left(x \cdot -0.5 + \frac{0.5 \cdot x}{n}\right)}{n}} \]
    8. Taylor expanded in n around 0

      \[\leadsto \mathsf{+.f64}\left(\mathsf{+.f64}\left(1, \mathsf{/.f64}\left(-1, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(-1, n\right)\right)\right)\right), \mathsf{*.f64}\left(x, \mathsf{/.f64}\left(\mathsf{+.f64}\left(1, \color{blue}{\left(\frac{1}{2} \cdot \frac{x}{n}\right)}\right), n\right)\right)\right) \]
    9. Step-by-step derivation
      1. associate-*r/N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{+.f64}\left(1, \mathsf{/.f64}\left(-1, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(-1, n\right)\right)\right)\right), \mathsf{*.f64}\left(x, \mathsf{/.f64}\left(\mathsf{+.f64}\left(1, \left(\frac{\frac{1}{2} \cdot x}{n}\right)\right), n\right)\right)\right) \]
      2. *-commutativeN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{+.f64}\left(1, \mathsf{/.f64}\left(-1, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(-1, n\right)\right)\right)\right), \mathsf{*.f64}\left(x, \mathsf{/.f64}\left(\mathsf{+.f64}\left(1, \left(\frac{x \cdot \frac{1}{2}}{n}\right)\right), n\right)\right)\right) \]
      3. associate-/l*N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{+.f64}\left(1, \mathsf{/.f64}\left(-1, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(-1, n\right)\right)\right)\right), \mathsf{*.f64}\left(x, \mathsf{/.f64}\left(\mathsf{+.f64}\left(1, \left(x \cdot \frac{\frac{1}{2}}{n}\right)\right), n\right)\right)\right) \]
      4. metadata-evalN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{+.f64}\left(1, \mathsf{/.f64}\left(-1, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(-1, n\right)\right)\right)\right), \mathsf{*.f64}\left(x, \mathsf{/.f64}\left(\mathsf{+.f64}\left(1, \left(x \cdot \frac{\frac{1}{2} \cdot 1}{n}\right)\right), n\right)\right)\right) \]
      5. associate-*r/N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{+.f64}\left(1, \mathsf{/.f64}\left(-1, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(-1, n\right)\right)\right)\right), \mathsf{*.f64}\left(x, \mathsf{/.f64}\left(\mathsf{+.f64}\left(1, \left(x \cdot \left(\frac{1}{2} \cdot \frac{1}{n}\right)\right)\right), n\right)\right)\right) \]
      6. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{+.f64}\left(1, \mathsf{/.f64}\left(-1, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(-1, n\right)\right)\right)\right), \mathsf{*.f64}\left(x, \mathsf{/.f64}\left(\mathsf{+.f64}\left(1, \mathsf{*.f64}\left(x, \left(\frac{1}{2} \cdot \frac{1}{n}\right)\right)\right), n\right)\right)\right) \]
      7. associate-*r/N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{+.f64}\left(1, \mathsf{/.f64}\left(-1, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(-1, n\right)\right)\right)\right), \mathsf{*.f64}\left(x, \mathsf{/.f64}\left(\mathsf{+.f64}\left(1, \mathsf{*.f64}\left(x, \left(\frac{\frac{1}{2} \cdot 1}{n}\right)\right)\right), n\right)\right)\right) \]
      8. metadata-evalN/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{+.f64}\left(1, \mathsf{/.f64}\left(-1, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(-1, n\right)\right)\right)\right), \mathsf{*.f64}\left(x, \mathsf{/.f64}\left(\mathsf{+.f64}\left(1, \mathsf{*.f64}\left(x, \left(\frac{\frac{1}{2}}{n}\right)\right)\right), n\right)\right)\right) \]
      9. /-lowering-/.f6476.4%

        \[\leadsto \mathsf{+.f64}\left(\mathsf{+.f64}\left(1, \mathsf{/.f64}\left(-1, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(-1, n\right)\right)\right)\right), \mathsf{*.f64}\left(x, \mathsf{/.f64}\left(\mathsf{+.f64}\left(1, \mathsf{*.f64}\left(x, \mathsf{/.f64}\left(\frac{1}{2}, n\right)\right)\right), n\right)\right)\right) \]
    10. Simplified76.4%

      \[\leadsto \left(1 + \frac{-1}{{x}^{\left(\frac{-1}{n}\right)}}\right) + x \cdot \frac{1 + \color{blue}{x \cdot \frac{0.5}{n}}}{n} \]
  3. Recombined 3 regimes into one program.
  4. Final simplification84.9%

    \[\leadsto \begin{array}{l} \mathbf{if}\;\frac{1}{n} \leq -0.0005:\\ \;\;\;\;\frac{\frac{1}{{x}^{\left(\frac{-1}{n}\right)}}}{n \cdot x}\\ \mathbf{elif}\;\frac{1}{n} \leq 2 \cdot 10^{-22}:\\ \;\;\;\;\frac{\log \left(\frac{x}{x + 1}\right)}{0 - n}\\ \mathbf{else}:\\ \;\;\;\;\left(\frac{-1}{{x}^{\left(\frac{-1}{n}\right)}} + 1\right) - x \cdot \frac{-1 - x \cdot \frac{0.5}{n}}{n}\\ \end{array} \]
  5. Add Preprocessing

Alternative 4: 81.6% accurate, 1.6× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := {x}^{\left(\frac{-1}{n}\right)}\\ \mathbf{if}\;\frac{1}{n} \leq -0.0005:\\ \;\;\;\;\frac{\frac{1}{t\_0}}{n \cdot x}\\ \mathbf{elif}\;\frac{1}{n} \leq 2 \cdot 10^{-22}:\\ \;\;\;\;\frac{\log \left(\frac{x}{x + 1}\right)}{0 - n}\\ \mathbf{else}:\\ \;\;\;\;\left(\frac{-1}{t\_0} + 1\right) + x \cdot \frac{x \cdot 0.5}{n \cdot n}\\ \end{array} \end{array} \]
(FPCore (x n)
 :precision binary64
 (let* ((t_0 (pow x (/ -1.0 n))))
   (if (<= (/ 1.0 n) -0.0005)
     (/ (/ 1.0 t_0) (* n x))
     (if (<= (/ 1.0 n) 2e-22)
       (/ (log (/ x (+ x 1.0))) (- 0.0 n))
       (+ (+ (/ -1.0 t_0) 1.0) (* x (/ (* x 0.5) (* n n))))))))
double code(double x, double n) {
	double t_0 = pow(x, (-1.0 / n));
	double tmp;
	if ((1.0 / n) <= -0.0005) {
		tmp = (1.0 / t_0) / (n * x);
	} else if ((1.0 / n) <= 2e-22) {
		tmp = log((x / (x + 1.0))) / (0.0 - n);
	} else {
		tmp = ((-1.0 / t_0) + 1.0) + (x * ((x * 0.5) / (n * n)));
	}
	return tmp;
}
real(8) function code(x, n)
    real(8), intent (in) :: x
    real(8), intent (in) :: n
    real(8) :: t_0
    real(8) :: tmp
    t_0 = x ** ((-1.0d0) / n)
    if ((1.0d0 / n) <= (-0.0005d0)) then
        tmp = (1.0d0 / t_0) / (n * x)
    else if ((1.0d0 / n) <= 2d-22) then
        tmp = log((x / (x + 1.0d0))) / (0.0d0 - n)
    else
        tmp = (((-1.0d0) / t_0) + 1.0d0) + (x * ((x * 0.5d0) / (n * n)))
    end if
    code = tmp
end function
public static double code(double x, double n) {
	double t_0 = Math.pow(x, (-1.0 / n));
	double tmp;
	if ((1.0 / n) <= -0.0005) {
		tmp = (1.0 / t_0) / (n * x);
	} else if ((1.0 / n) <= 2e-22) {
		tmp = Math.log((x / (x + 1.0))) / (0.0 - n);
	} else {
		tmp = ((-1.0 / t_0) + 1.0) + (x * ((x * 0.5) / (n * n)));
	}
	return tmp;
}
def code(x, n):
	t_0 = math.pow(x, (-1.0 / n))
	tmp = 0
	if (1.0 / n) <= -0.0005:
		tmp = (1.0 / t_0) / (n * x)
	elif (1.0 / n) <= 2e-22:
		tmp = math.log((x / (x + 1.0))) / (0.0 - n)
	else:
		tmp = ((-1.0 / t_0) + 1.0) + (x * ((x * 0.5) / (n * n)))
	return tmp
function code(x, n)
	t_0 = x ^ Float64(-1.0 / n)
	tmp = 0.0
	if (Float64(1.0 / n) <= -0.0005)
		tmp = Float64(Float64(1.0 / t_0) / Float64(n * x));
	elseif (Float64(1.0 / n) <= 2e-22)
		tmp = Float64(log(Float64(x / Float64(x + 1.0))) / Float64(0.0 - n));
	else
		tmp = Float64(Float64(Float64(-1.0 / t_0) + 1.0) + Float64(x * Float64(Float64(x * 0.5) / Float64(n * n))));
	end
	return tmp
end
function tmp_2 = code(x, n)
	t_0 = x ^ (-1.0 / n);
	tmp = 0.0;
	if ((1.0 / n) <= -0.0005)
		tmp = (1.0 / t_0) / (n * x);
	elseif ((1.0 / n) <= 2e-22)
		tmp = log((x / (x + 1.0))) / (0.0 - n);
	else
		tmp = ((-1.0 / t_0) + 1.0) + (x * ((x * 0.5) / (n * n)));
	end
	tmp_2 = tmp;
end
code[x_, n_] := Block[{t$95$0 = N[Power[x, N[(-1.0 / n), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(1.0 / n), $MachinePrecision], -0.0005], N[(N[(1.0 / t$95$0), $MachinePrecision] / N[(n * x), $MachinePrecision]), $MachinePrecision], If[LessEqual[N[(1.0 / n), $MachinePrecision], 2e-22], N[(N[Log[N[(x / N[(x + 1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(0.0 - n), $MachinePrecision]), $MachinePrecision], N[(N[(N[(-1.0 / t$95$0), $MachinePrecision] + 1.0), $MachinePrecision] + N[(x * N[(N[(x * 0.5), $MachinePrecision] / N[(n * n), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}

\\
\begin{array}{l}
t_0 := {x}^{\left(\frac{-1}{n}\right)}\\
\mathbf{if}\;\frac{1}{n} \leq -0.0005:\\
\;\;\;\;\frac{\frac{1}{t\_0}}{n \cdot x}\\

\mathbf{elif}\;\frac{1}{n} \leq 2 \cdot 10^{-22}:\\
\;\;\;\;\frac{\log \left(\frac{x}{x + 1}\right)}{0 - n}\\

\mathbf{else}:\\
\;\;\;\;\left(\frac{-1}{t\_0} + 1\right) + x \cdot \frac{x \cdot 0.5}{n \cdot n}\\


\end{array}
\end{array}
Derivation
  1. Split input into 3 regimes
  2. if (/.f64 #s(literal 1 binary64) n) < -5.0000000000000001e-4

    1. Initial program 98.7%

      \[{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]
    2. Add Preprocessing
    3. Taylor expanded in x around inf

      \[\leadsto \color{blue}{\frac{e^{-1 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}}{n \cdot x}} \]
    4. Step-by-step derivation
      1. /-lowering-/.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\left(e^{-1 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right), \color{blue}{\left(n \cdot x\right)}\right) \]
      2. mul-1-negN/A

        \[\leadsto \mathsf{/.f64}\left(\left(e^{\mathsf{neg}\left(\frac{\log \left(\frac{1}{x}\right)}{n}\right)}\right), \left(n \cdot x\right)\right) \]
      3. log-recN/A

        \[\leadsto \mathsf{/.f64}\left(\left(e^{\mathsf{neg}\left(\frac{\mathsf{neg}\left(\log x\right)}{n}\right)}\right), \left(n \cdot x\right)\right) \]
      4. mul-1-negN/A

        \[\leadsto \mathsf{/.f64}\left(\left(e^{\mathsf{neg}\left(\frac{-1 \cdot \log x}{n}\right)}\right), \left(n \cdot x\right)\right) \]
      5. exp-negN/A

        \[\leadsto \mathsf{/.f64}\left(\left(\frac{1}{e^{\frac{-1 \cdot \log x}{n}}}\right), \left(\color{blue}{n} \cdot x\right)\right) \]
      6. /-lowering-/.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \left(e^{\frac{-1 \cdot \log x}{n}}\right)\right), \left(\color{blue}{n} \cdot x\right)\right) \]
      7. *-commutativeN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \left(e^{\frac{\log x \cdot -1}{n}}\right)\right), \left(n \cdot x\right)\right) \]
      8. associate-/l*N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \left(e^{\log x \cdot \frac{-1}{n}}\right)\right), \left(n \cdot x\right)\right) \]
      9. exp-to-powN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \left({x}^{\left(\frac{-1}{n}\right)}\right)\right), \left(n \cdot x\right)\right) \]
      10. metadata-evalN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \left({x}^{\left(\frac{\mathsf{neg}\left(1\right)}{n}\right)}\right)\right), \left(n \cdot x\right)\right) \]
      11. distribute-neg-fracN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \left({x}^{\left(\mathsf{neg}\left(\frac{1}{n}\right)\right)}\right)\right), \left(n \cdot x\right)\right) \]
      12. pow-lowering-pow.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \mathsf{pow.f64}\left(x, \left(\mathsf{neg}\left(\frac{1}{n}\right)\right)\right)\right), \left(n \cdot x\right)\right) \]
      13. distribute-neg-fracN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \mathsf{pow.f64}\left(x, \left(\frac{\mathsf{neg}\left(1\right)}{n}\right)\right)\right), \left(n \cdot x\right)\right) \]
      14. metadata-evalN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \mathsf{pow.f64}\left(x, \left(\frac{-1}{n}\right)\right)\right), \left(n \cdot x\right)\right) \]
      15. /-lowering-/.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(-1, n\right)\right)\right), \left(n \cdot x\right)\right) \]
      16. *-commutativeN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(-1, n\right)\right)\right), \left(x \cdot \color{blue}{n}\right)\right) \]
      17. *-lowering-*.f64100.0%

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(-1, n\right)\right)\right), \mathsf{*.f64}\left(x, \color{blue}{n}\right)\right) \]
    5. Simplified100.0%

      \[\leadsto \color{blue}{\frac{\frac{1}{{x}^{\left(\frac{-1}{n}\right)}}}{x \cdot n}} \]

    if -5.0000000000000001e-4 < (/.f64 #s(literal 1 binary64) n) < 2.0000000000000001e-22

    1. Initial program 31.1%

      \[{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]
    2. Add Preprocessing
    3. Taylor expanded in n around inf

      \[\leadsto \color{blue}{\frac{\left(\log \left(1 + x\right) + \frac{1}{2} \cdot \frac{{\log \left(1 + x\right)}^{2}}{n}\right) - \left(\log x + \frac{1}{2} \cdot \frac{{\log x}^{2}}{n}\right)}{n}} \]
    4. Step-by-step derivation
      1. /-lowering-/.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\left(\left(\log \left(1 + x\right) + \frac{1}{2} \cdot \frac{{\log \left(1 + x\right)}^{2}}{n}\right) - \left(\log x + \frac{1}{2} \cdot \frac{{\log x}^{2}}{n}\right)\right), \color{blue}{n}\right) \]
    5. Simplified79.2%

      \[\leadsto \color{blue}{\frac{\frac{0.5}{n} \cdot \left({\left(\mathsf{log1p}\left(x\right)\right)}^{2} - {\log x}^{2}\right) + \left(\mathsf{log1p}\left(x\right) - \log x\right)}{n}} \]
    6. Step-by-step derivation
      1. diff-logN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \log \left(\frac{1 + x}{x}\right)\right), n\right) \]
      2. +-commutativeN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \log \left(\frac{x + 1}{x}\right)\right), n\right) \]
      3. clear-numN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \log \left(\frac{1}{\frac{x}{x + 1}}\right)\right), n\right) \]
      4. log-recN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \left(\mathsf{neg}\left(\log \left(\frac{x}{x + 1}\right)\right)\right)\right), n\right) \]
      5. neg-lowering-neg.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\log \left(\frac{x}{x + 1}\right)\right)\right), n\right) \]
      6. log-lowering-log.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\left(\frac{x}{x + 1}\right)\right)\right)\right), n\right) \]
      7. /-lowering-/.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \left(x + 1\right)\right)\right)\right)\right), n\right) \]
      8. +-commutativeN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \left(1 + x\right)\right)\right)\right)\right), n\right) \]
      9. +-lowering-+.f6479.6%

        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right)\right)\right), n\right) \]
    7. Applied egg-rr79.6%

      \[\leadsto \frac{\frac{0.5}{n} \cdot \left({\left(\mathsf{log1p}\left(x\right)\right)}^{2} - {\log x}^{2}\right) + \color{blue}{\left(-\log \left(\frac{x}{1 + x}\right)\right)}}{n} \]
    8. Taylor expanded in n around inf

      \[\leadsto \color{blue}{-1 \cdot \frac{\log \left(\frac{x}{1 + x}\right)}{n}} \]
    9. Step-by-step derivation
      1. mul-1-negN/A

        \[\leadsto \mathsf{neg}\left(\frac{\log \left(\frac{x}{1 + x}\right)}{n}\right) \]
      2. distribute-neg-frac2N/A

        \[\leadsto \frac{\log \left(\frac{x}{1 + x}\right)}{\color{blue}{\mathsf{neg}\left(n\right)}} \]
      3. mul-1-negN/A

        \[\leadsto \frac{\log \left(\frac{x}{1 + x}\right)}{-1 \cdot \color{blue}{n}} \]
      4. /-lowering-/.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\log \left(\frac{x}{1 + x}\right), \color{blue}{\left(-1 \cdot n\right)}\right) \]
      5. log-lowering-log.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\left(\frac{x}{1 + x}\right)\right), \left(\color{blue}{-1} \cdot n\right)\right) \]
      6. /-lowering-/.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \left(1 + x\right)\right)\right), \left(-1 \cdot n\right)\right) \]
      7. +-lowering-+.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right), \left(-1 \cdot n\right)\right) \]
      8. mul-1-negN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right), \left(\mathsf{neg}\left(n\right)\right)\right) \]
      9. neg-lowering-neg.f6479.3%

        \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right), \mathsf{neg.f64}\left(n\right)\right) \]
    10. Simplified79.3%

      \[\leadsto \color{blue}{\frac{\log \left(\frac{x}{1 + x}\right)}{-n}} \]

    if 2.0000000000000001e-22 < (/.f64 #s(literal 1 binary64) n)

    1. Initial program 64.3%

      \[{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]
    2. Add Preprocessing
    3. Taylor expanded in x around 0

      \[\leadsto \color{blue}{\left(1 + x \cdot \left(x \cdot \left(\frac{1}{2} \cdot \frac{1}{{n}^{2}} - \frac{1}{2} \cdot \frac{1}{n}\right) + \frac{1}{n}\right)\right) - e^{\frac{\log x}{n}}} \]
    4. Simplified65.6%

      \[\leadsto \color{blue}{\left(1 + \frac{-1}{{x}^{\left(\frac{-1}{n}\right)}}\right) + x \cdot \left(\frac{1}{n} + x \cdot \left(\frac{0.5}{n \cdot n} + \frac{-0.5}{n}\right)\right)} \]
    5. Taylor expanded in n around 0

      \[\leadsto \mathsf{+.f64}\left(\mathsf{+.f64}\left(1, \mathsf{/.f64}\left(-1, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(-1, n\right)\right)\right)\right), \mathsf{*.f64}\left(x, \color{blue}{\left(\frac{1}{2} \cdot \frac{x}{{n}^{2}}\right)}\right)\right) \]
    6. Step-by-step derivation
      1. associate-*r/N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{+.f64}\left(1, \mathsf{/.f64}\left(-1, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(-1, n\right)\right)\right)\right), \mathsf{*.f64}\left(x, \left(\frac{\frac{1}{2} \cdot x}{\color{blue}{{n}^{2}}}\right)\right)\right) \]
      2. /-lowering-/.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{+.f64}\left(1, \mathsf{/.f64}\left(-1, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(-1, n\right)\right)\right)\right), \mathsf{*.f64}\left(x, \mathsf{/.f64}\left(\left(\frac{1}{2} \cdot x\right), \color{blue}{\left({n}^{2}\right)}\right)\right)\right) \]
      3. *-lowering-*.f64N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{+.f64}\left(1, \mathsf{/.f64}\left(-1, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(-1, n\right)\right)\right)\right), \mathsf{*.f64}\left(x, \mathsf{/.f64}\left(\mathsf{*.f64}\left(\frac{1}{2}, x\right), \left({\color{blue}{n}}^{2}\right)\right)\right)\right) \]
      4. unpow2N/A

        \[\leadsto \mathsf{+.f64}\left(\mathsf{+.f64}\left(1, \mathsf{/.f64}\left(-1, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(-1, n\right)\right)\right)\right), \mathsf{*.f64}\left(x, \mathsf{/.f64}\left(\mathsf{*.f64}\left(\frac{1}{2}, x\right), \left(n \cdot \color{blue}{n}\right)\right)\right)\right) \]
      5. *-lowering-*.f6465.5%

        \[\leadsto \mathsf{+.f64}\left(\mathsf{+.f64}\left(1, \mathsf{/.f64}\left(-1, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(-1, n\right)\right)\right)\right), \mathsf{*.f64}\left(x, \mathsf{/.f64}\left(\mathsf{*.f64}\left(\frac{1}{2}, x\right), \mathsf{*.f64}\left(n, \color{blue}{n}\right)\right)\right)\right) \]
    7. Simplified65.5%

      \[\leadsto \left(1 + \frac{-1}{{x}^{\left(\frac{-1}{n}\right)}}\right) + x \cdot \color{blue}{\frac{0.5 \cdot x}{n \cdot n}} \]
  3. Recombined 3 regimes into one program.
  4. Final simplification83.7%

    \[\leadsto \begin{array}{l} \mathbf{if}\;\frac{1}{n} \leq -0.0005:\\ \;\;\;\;\frac{\frac{1}{{x}^{\left(\frac{-1}{n}\right)}}}{n \cdot x}\\ \mathbf{elif}\;\frac{1}{n} \leq 2 \cdot 10^{-22}:\\ \;\;\;\;\frac{\log \left(\frac{x}{x + 1}\right)}{0 - n}\\ \mathbf{else}:\\ \;\;\;\;\left(\frac{-1}{{x}^{\left(\frac{-1}{n}\right)}} + 1\right) + x \cdot \frac{x \cdot 0.5}{n \cdot n}\\ \end{array} \]
  5. Add Preprocessing

Alternative 5: 80.4% accurate, 1.6× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;\frac{1}{n} \leq -0.0005:\\ \;\;\;\;\frac{\frac{1}{{x}^{\left(\frac{-1}{n}\right)}}}{n \cdot x}\\ \mathbf{elif}\;\frac{1}{n} \leq 2 \cdot 10^{-22}:\\ \;\;\;\;\frac{\log \left(\frac{x}{x + 1}\right)}{0 - n}\\ \mathbf{elif}\;\frac{1}{n} \leq 4 \cdot 10^{+244}:\\ \;\;\;\;\left(\frac{x}{n} + 1\right) - {x}^{\left(\frac{1}{n}\right)}\\ \mathbf{else}:\\ \;\;\;\;\frac{1}{n \cdot x}\\ \end{array} \end{array} \]
(FPCore (x n)
 :precision binary64
 (if (<= (/ 1.0 n) -0.0005)
   (/ (/ 1.0 (pow x (/ -1.0 n))) (* n x))
   (if (<= (/ 1.0 n) 2e-22)
     (/ (log (/ x (+ x 1.0))) (- 0.0 n))
     (if (<= (/ 1.0 n) 4e+244)
       (- (+ (/ x n) 1.0) (pow x (/ 1.0 n)))
       (/ 1.0 (* n x))))))
double code(double x, double n) {
	double tmp;
	if ((1.0 / n) <= -0.0005) {
		tmp = (1.0 / pow(x, (-1.0 / n))) / (n * x);
	} else if ((1.0 / n) <= 2e-22) {
		tmp = log((x / (x + 1.0))) / (0.0 - n);
	} else if ((1.0 / n) <= 4e+244) {
		tmp = ((x / n) + 1.0) - pow(x, (1.0 / n));
	} else {
		tmp = 1.0 / (n * x);
	}
	return tmp;
}
real(8) function code(x, n)
    real(8), intent (in) :: x
    real(8), intent (in) :: n
    real(8) :: tmp
    if ((1.0d0 / n) <= (-0.0005d0)) then
        tmp = (1.0d0 / (x ** ((-1.0d0) / n))) / (n * x)
    else if ((1.0d0 / n) <= 2d-22) then
        tmp = log((x / (x + 1.0d0))) / (0.0d0 - n)
    else if ((1.0d0 / n) <= 4d+244) then
        tmp = ((x / n) + 1.0d0) - (x ** (1.0d0 / n))
    else
        tmp = 1.0d0 / (n * x)
    end if
    code = tmp
end function
public static double code(double x, double n) {
	double tmp;
	if ((1.0 / n) <= -0.0005) {
		tmp = (1.0 / Math.pow(x, (-1.0 / n))) / (n * x);
	} else if ((1.0 / n) <= 2e-22) {
		tmp = Math.log((x / (x + 1.0))) / (0.0 - n);
	} else if ((1.0 / n) <= 4e+244) {
		tmp = ((x / n) + 1.0) - Math.pow(x, (1.0 / n));
	} else {
		tmp = 1.0 / (n * x);
	}
	return tmp;
}
def code(x, n):
	tmp = 0
	if (1.0 / n) <= -0.0005:
		tmp = (1.0 / math.pow(x, (-1.0 / n))) / (n * x)
	elif (1.0 / n) <= 2e-22:
		tmp = math.log((x / (x + 1.0))) / (0.0 - n)
	elif (1.0 / n) <= 4e+244:
		tmp = ((x / n) + 1.0) - math.pow(x, (1.0 / n))
	else:
		tmp = 1.0 / (n * x)
	return tmp
function code(x, n)
	tmp = 0.0
	if (Float64(1.0 / n) <= -0.0005)
		tmp = Float64(Float64(1.0 / (x ^ Float64(-1.0 / n))) / Float64(n * x));
	elseif (Float64(1.0 / n) <= 2e-22)
		tmp = Float64(log(Float64(x / Float64(x + 1.0))) / Float64(0.0 - n));
	elseif (Float64(1.0 / n) <= 4e+244)
		tmp = Float64(Float64(Float64(x / n) + 1.0) - (x ^ Float64(1.0 / n)));
	else
		tmp = Float64(1.0 / Float64(n * x));
	end
	return tmp
end
function tmp_2 = code(x, n)
	tmp = 0.0;
	if ((1.0 / n) <= -0.0005)
		tmp = (1.0 / (x ^ (-1.0 / n))) / (n * x);
	elseif ((1.0 / n) <= 2e-22)
		tmp = log((x / (x + 1.0))) / (0.0 - n);
	elseif ((1.0 / n) <= 4e+244)
		tmp = ((x / n) + 1.0) - (x ^ (1.0 / n));
	else
		tmp = 1.0 / (n * x);
	end
	tmp_2 = tmp;
end
code[x_, n_] := If[LessEqual[N[(1.0 / n), $MachinePrecision], -0.0005], N[(N[(1.0 / N[Power[x, N[(-1.0 / n), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(n * x), $MachinePrecision]), $MachinePrecision], If[LessEqual[N[(1.0 / n), $MachinePrecision], 2e-22], N[(N[Log[N[(x / N[(x + 1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(0.0 - n), $MachinePrecision]), $MachinePrecision], If[LessEqual[N[(1.0 / n), $MachinePrecision], 4e+244], N[(N[(N[(x / n), $MachinePrecision] + 1.0), $MachinePrecision] - N[Power[x, N[(1.0 / n), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(1.0 / N[(n * x), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;\frac{1}{n} \leq -0.0005:\\
\;\;\;\;\frac{\frac{1}{{x}^{\left(\frac{-1}{n}\right)}}}{n \cdot x}\\

\mathbf{elif}\;\frac{1}{n} \leq 2 \cdot 10^{-22}:\\
\;\;\;\;\frac{\log \left(\frac{x}{x + 1}\right)}{0 - n}\\

\mathbf{elif}\;\frac{1}{n} \leq 4 \cdot 10^{+244}:\\
\;\;\;\;\left(\frac{x}{n} + 1\right) - {x}^{\left(\frac{1}{n}\right)}\\

\mathbf{else}:\\
\;\;\;\;\frac{1}{n \cdot x}\\


\end{array}
\end{array}
Derivation
  1. Split input into 4 regimes
  2. if (/.f64 #s(literal 1 binary64) n) < -5.0000000000000001e-4

    1. Initial program 98.7%

      \[{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]
    2. Add Preprocessing
    3. Taylor expanded in x around inf

      \[\leadsto \color{blue}{\frac{e^{-1 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}}{n \cdot x}} \]
    4. Step-by-step derivation
      1. /-lowering-/.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\left(e^{-1 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right), \color{blue}{\left(n \cdot x\right)}\right) \]
      2. mul-1-negN/A

        \[\leadsto \mathsf{/.f64}\left(\left(e^{\mathsf{neg}\left(\frac{\log \left(\frac{1}{x}\right)}{n}\right)}\right), \left(n \cdot x\right)\right) \]
      3. log-recN/A

        \[\leadsto \mathsf{/.f64}\left(\left(e^{\mathsf{neg}\left(\frac{\mathsf{neg}\left(\log x\right)}{n}\right)}\right), \left(n \cdot x\right)\right) \]
      4. mul-1-negN/A

        \[\leadsto \mathsf{/.f64}\left(\left(e^{\mathsf{neg}\left(\frac{-1 \cdot \log x}{n}\right)}\right), \left(n \cdot x\right)\right) \]
      5. exp-negN/A

        \[\leadsto \mathsf{/.f64}\left(\left(\frac{1}{e^{\frac{-1 \cdot \log x}{n}}}\right), \left(\color{blue}{n} \cdot x\right)\right) \]
      6. /-lowering-/.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \left(e^{\frac{-1 \cdot \log x}{n}}\right)\right), \left(\color{blue}{n} \cdot x\right)\right) \]
      7. *-commutativeN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \left(e^{\frac{\log x \cdot -1}{n}}\right)\right), \left(n \cdot x\right)\right) \]
      8. associate-/l*N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \left(e^{\log x \cdot \frac{-1}{n}}\right)\right), \left(n \cdot x\right)\right) \]
      9. exp-to-powN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \left({x}^{\left(\frac{-1}{n}\right)}\right)\right), \left(n \cdot x\right)\right) \]
      10. metadata-evalN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \left({x}^{\left(\frac{\mathsf{neg}\left(1\right)}{n}\right)}\right)\right), \left(n \cdot x\right)\right) \]
      11. distribute-neg-fracN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \left({x}^{\left(\mathsf{neg}\left(\frac{1}{n}\right)\right)}\right)\right), \left(n \cdot x\right)\right) \]
      12. pow-lowering-pow.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \mathsf{pow.f64}\left(x, \left(\mathsf{neg}\left(\frac{1}{n}\right)\right)\right)\right), \left(n \cdot x\right)\right) \]
      13. distribute-neg-fracN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \mathsf{pow.f64}\left(x, \left(\frac{\mathsf{neg}\left(1\right)}{n}\right)\right)\right), \left(n \cdot x\right)\right) \]
      14. metadata-evalN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \mathsf{pow.f64}\left(x, \left(\frac{-1}{n}\right)\right)\right), \left(n \cdot x\right)\right) \]
      15. /-lowering-/.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(-1, n\right)\right)\right), \left(n \cdot x\right)\right) \]
      16. *-commutativeN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(-1, n\right)\right)\right), \left(x \cdot \color{blue}{n}\right)\right) \]
      17. *-lowering-*.f64100.0%

        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(-1, n\right)\right)\right), \mathsf{*.f64}\left(x, \color{blue}{n}\right)\right) \]
    5. Simplified100.0%

      \[\leadsto \color{blue}{\frac{\frac{1}{{x}^{\left(\frac{-1}{n}\right)}}}{x \cdot n}} \]

    if -5.0000000000000001e-4 < (/.f64 #s(literal 1 binary64) n) < 2.0000000000000001e-22

    1. Initial program 31.1%

      \[{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]
    2. Add Preprocessing
    3. Taylor expanded in n around inf

      \[\leadsto \color{blue}{\frac{\left(\log \left(1 + x\right) + \frac{1}{2} \cdot \frac{{\log \left(1 + x\right)}^{2}}{n}\right) - \left(\log x + \frac{1}{2} \cdot \frac{{\log x}^{2}}{n}\right)}{n}} \]
    4. Step-by-step derivation
      1. /-lowering-/.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\left(\left(\log \left(1 + x\right) + \frac{1}{2} \cdot \frac{{\log \left(1 + x\right)}^{2}}{n}\right) - \left(\log x + \frac{1}{2} \cdot \frac{{\log x}^{2}}{n}\right)\right), \color{blue}{n}\right) \]
    5. Simplified79.2%

      \[\leadsto \color{blue}{\frac{\frac{0.5}{n} \cdot \left({\left(\mathsf{log1p}\left(x\right)\right)}^{2} - {\log x}^{2}\right) + \left(\mathsf{log1p}\left(x\right) - \log x\right)}{n}} \]
    6. Step-by-step derivation
      1. diff-logN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \log \left(\frac{1 + x}{x}\right)\right), n\right) \]
      2. +-commutativeN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \log \left(\frac{x + 1}{x}\right)\right), n\right) \]
      3. clear-numN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \log \left(\frac{1}{\frac{x}{x + 1}}\right)\right), n\right) \]
      4. log-recN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \left(\mathsf{neg}\left(\log \left(\frac{x}{x + 1}\right)\right)\right)\right), n\right) \]
      5. neg-lowering-neg.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\log \left(\frac{x}{x + 1}\right)\right)\right), n\right) \]
      6. log-lowering-log.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\left(\frac{x}{x + 1}\right)\right)\right)\right), n\right) \]
      7. /-lowering-/.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \left(x + 1\right)\right)\right)\right)\right), n\right) \]
      8. +-commutativeN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \left(1 + x\right)\right)\right)\right)\right), n\right) \]
      9. +-lowering-+.f6479.6%

        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right)\right)\right), n\right) \]
    7. Applied egg-rr79.6%

      \[\leadsto \frac{\frac{0.5}{n} \cdot \left({\left(\mathsf{log1p}\left(x\right)\right)}^{2} - {\log x}^{2}\right) + \color{blue}{\left(-\log \left(\frac{x}{1 + x}\right)\right)}}{n} \]
    8. Taylor expanded in n around inf

      \[\leadsto \color{blue}{-1 \cdot \frac{\log \left(\frac{x}{1 + x}\right)}{n}} \]
    9. Step-by-step derivation
      1. mul-1-negN/A

        \[\leadsto \mathsf{neg}\left(\frac{\log \left(\frac{x}{1 + x}\right)}{n}\right) \]
      2. distribute-neg-frac2N/A

        \[\leadsto \frac{\log \left(\frac{x}{1 + x}\right)}{\color{blue}{\mathsf{neg}\left(n\right)}} \]
      3. mul-1-negN/A

        \[\leadsto \frac{\log \left(\frac{x}{1 + x}\right)}{-1 \cdot \color{blue}{n}} \]
      4. /-lowering-/.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\log \left(\frac{x}{1 + x}\right), \color{blue}{\left(-1 \cdot n\right)}\right) \]
      5. log-lowering-log.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\left(\frac{x}{1 + x}\right)\right), \left(\color{blue}{-1} \cdot n\right)\right) \]
      6. /-lowering-/.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \left(1 + x\right)\right)\right), \left(-1 \cdot n\right)\right) \]
      7. +-lowering-+.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right), \left(-1 \cdot n\right)\right) \]
      8. mul-1-negN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right), \left(\mathsf{neg}\left(n\right)\right)\right) \]
      9. neg-lowering-neg.f6479.3%

        \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right), \mathsf{neg.f64}\left(n\right)\right) \]
    10. Simplified79.3%

      \[\leadsto \color{blue}{\frac{\log \left(\frac{x}{1 + x}\right)}{-n}} \]

    if 2.0000000000000001e-22 < (/.f64 #s(literal 1 binary64) n) < 4.0000000000000003e244

    1. Initial program 76.5%

      \[{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]
    2. Add Preprocessing
    3. Taylor expanded in x around 0

      \[\leadsto \mathsf{\_.f64}\left(\color{blue}{\left(1 + \frac{x}{n}\right)}, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(1, n\right)\right)\right) \]
    4. Step-by-step derivation
      1. *-rgt-identityN/A

        \[\leadsto \mathsf{\_.f64}\left(\left(1 + \frac{x \cdot 1}{n}\right), \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(1, n\right)\right)\right) \]
      2. associate-*r/N/A

        \[\leadsto \mathsf{\_.f64}\left(\left(1 + x \cdot \frac{1}{n}\right), \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(1, n\right)\right)\right) \]
      3. +-lowering-+.f64N/A

        \[\leadsto \mathsf{\_.f64}\left(\mathsf{+.f64}\left(1, \left(x \cdot \frac{1}{n}\right)\right), \mathsf{pow.f64}\left(\color{blue}{x}, \mathsf{/.f64}\left(1, n\right)\right)\right) \]
      4. associate-*r/N/A

        \[\leadsto \mathsf{\_.f64}\left(\mathsf{+.f64}\left(1, \left(\frac{x \cdot 1}{n}\right)\right), \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(1, n\right)\right)\right) \]
      5. *-rgt-identityN/A

        \[\leadsto \mathsf{\_.f64}\left(\mathsf{+.f64}\left(1, \left(\frac{x}{n}\right)\right), \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(1, n\right)\right)\right) \]
      6. /-lowering-/.f6470.8%

        \[\leadsto \mathsf{\_.f64}\left(\mathsf{+.f64}\left(1, \mathsf{/.f64}\left(x, n\right)\right), \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(1, n\right)\right)\right) \]
    5. Simplified70.8%

      \[\leadsto \color{blue}{\left(1 + \frac{x}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]

    if 4.0000000000000003e244 < (/.f64 #s(literal 1 binary64) n)

    1. Initial program 3.1%

      \[{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]
    2. Add Preprocessing
    3. Step-by-step derivation
      1. flip3--N/A

        \[\leadsto \frac{{\left({\left(x + 1\right)}^{\left(\frac{1}{n}\right)}\right)}^{3} - {\left({x}^{\left(\frac{1}{n}\right)}\right)}^{3}}{\color{blue}{{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)}} \]
      2. /-lowering-/.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\left({\left({\left(x + 1\right)}^{\left(\frac{1}{n}\right)}\right)}^{3} - {\left({x}^{\left(\frac{1}{n}\right)}\right)}^{3}\right), \color{blue}{\left({\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)}\right) \]
      3. --lowering--.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\left({\left({\left(x + 1\right)}^{\left(\frac{1}{n}\right)}\right)}^{3}\right), \left({\left({x}^{\left(\frac{1}{n}\right)}\right)}^{3}\right)\right), \left(\color{blue}{{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {\left(x + 1\right)}^{\left(\frac{1}{n}\right)}} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
      4. pow-powN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\left({\left(x + 1\right)}^{\left(\frac{1}{n} \cdot 3\right)}\right), \left({\left({x}^{\left(\frac{1}{n}\right)}\right)}^{3}\right)\right), \left(\color{blue}{{\left(x + 1\right)}^{\left(\frac{1}{n}\right)}} \cdot {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
      5. pow-lowering-pow.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\left(x + 1\right), \left(\frac{1}{n} \cdot 3\right)\right), \left({\left({x}^{\left(\frac{1}{n}\right)}\right)}^{3}\right)\right), \left(\color{blue}{{\left(x + 1\right)}^{\left(\frac{1}{n}\right)}} \cdot {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
      6. +-lowering-+.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \left(\frac{1}{n} \cdot 3\right)\right), \left({\left({x}^{\left(\frac{1}{n}\right)}\right)}^{3}\right)\right), \left({\color{blue}{\left(x + 1\right)}}^{\left(\frac{1}{n}\right)} \cdot {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
      7. associate-*l/N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \left(\frac{1 \cdot 3}{n}\right)\right), \left({\left({x}^{\left(\frac{1}{n}\right)}\right)}^{3}\right)\right), \left({\left(x + 1\right)}^{\color{blue}{\left(\frac{1}{n}\right)}} \cdot {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
      8. metadata-evalN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \left(\frac{3}{n}\right)\right), \left({\left({x}^{\left(\frac{1}{n}\right)}\right)}^{3}\right)\right), \left({\left(x + 1\right)}^{\left(\frac{\color{blue}{1}}{n}\right)} \cdot {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
      9. /-lowering-/.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \mathsf{/.f64}\left(3, n\right)\right), \left({\left({x}^{\left(\frac{1}{n}\right)}\right)}^{3}\right)\right), \left({\left(x + 1\right)}^{\color{blue}{\left(\frac{1}{n}\right)}} \cdot {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
      10. pow-powN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \mathsf{/.f64}\left(3, n\right)\right), \left({x}^{\left(\frac{1}{n} \cdot 3\right)}\right)\right), \left({\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot \color{blue}{{\left(x + 1\right)}^{\left(\frac{1}{n}\right)}} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
      11. pow-lowering-pow.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \mathsf{/.f64}\left(3, n\right)\right), \mathsf{pow.f64}\left(x, \left(\frac{1}{n} \cdot 3\right)\right)\right), \left({\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot \color{blue}{{\left(x + 1\right)}^{\left(\frac{1}{n}\right)}} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
      12. associate-*l/N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \mathsf{/.f64}\left(3, n\right)\right), \mathsf{pow.f64}\left(x, \left(\frac{1 \cdot 3}{n}\right)\right)\right), \left({\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {\left(x + 1\right)}^{\color{blue}{\left(\frac{1}{n}\right)}} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
      13. metadata-evalN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \mathsf{/.f64}\left(3, n\right)\right), \mathsf{pow.f64}\left(x, \left(\frac{3}{n}\right)\right)\right), \left({\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {\left(x + 1\right)}^{\left(\frac{\color{blue}{1}}{n}\right)} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
      14. /-lowering-/.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \mathsf{/.f64}\left(3, n\right)\right), \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(3, n\right)\right)\right), \left({\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {\left(x + 1\right)}^{\color{blue}{\left(\frac{1}{n}\right)}} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
    4. Applied egg-rr3.1%

      \[\leadsto \color{blue}{\frac{{\left(x + 1\right)}^{\left(\frac{3}{n}\right)} - {x}^{\left(\frac{3}{n}\right)}}{{\left(x + 1\right)}^{\left(\frac{2}{n}\right)} + \left({x}^{\left(\frac{2}{n}\right)} + {\left(x \cdot \left(x + 1\right)\right)}^{\left(\frac{1}{n}\right)}\right)}} \]
    5. Taylor expanded in x around inf

      \[\leadsto \color{blue}{3 \cdot \frac{e^{-3 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}}{n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)}} \]
    6. Step-by-step derivation
      1. associate-*r/N/A

        \[\leadsto \frac{3 \cdot e^{-3 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}}{\color{blue}{n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)}} \]
      2. /-lowering-/.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\left(3 \cdot e^{-3 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right), \color{blue}{\left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)}\right) \]
      3. *-lowering-*.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \left(e^{-3 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right), \left(\color{blue}{n} \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
      4. exp-lowering-exp.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \mathsf{exp.f64}\left(\left(-3 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}\right)\right)\right), \left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
      5. associate-*r/N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \mathsf{exp.f64}\left(\left(\frac{-3 \cdot \log \left(\frac{1}{x}\right)}{n}\right)\right)\right), \left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
      6. /-lowering-/.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \mathsf{exp.f64}\left(\mathsf{/.f64}\left(\left(-3 \cdot \log \left(\frac{1}{x}\right)\right), n\right)\right)\right), \left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
      7. *-lowering-*.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \mathsf{exp.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(-3, \log \left(\frac{1}{x}\right)\right), n\right)\right)\right), \left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
      8. log-recN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \mathsf{exp.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(-3, \left(\mathsf{neg}\left(\log x\right)\right)\right), n\right)\right)\right), \left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
      9. mul-1-negN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \mathsf{exp.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(-3, \left(-1 \cdot \log x\right)\right), n\right)\right)\right), \left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
      10. *-commutativeN/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \mathsf{exp.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(-3, \left(\log x \cdot -1\right)\right), n\right)\right)\right), \left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
      11. *-lowering-*.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \mathsf{exp.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(-3, \mathsf{*.f64}\left(\log x, -1\right)\right), n\right)\right)\right), \left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
      12. log-lowering-log.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \mathsf{exp.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(-3, \mathsf{*.f64}\left(\mathsf{log.f64}\left(x\right), -1\right)\right), n\right)\right)\right), \left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
    7. Simplified0.0%

      \[\leadsto \color{blue}{\frac{3 \cdot e^{\frac{-3 \cdot \left(\log x \cdot -1\right)}{n}}}{\left(x \cdot n\right) \cdot \left(3 \cdot e^{\frac{-2 \cdot \left(\log x \cdot -1\right)}{n}}\right)}} \]
    8. Taylor expanded in n around inf

      \[\leadsto \color{blue}{\frac{1}{n \cdot x}} \]
    9. Step-by-step derivation
      1. /-lowering-/.f64N/A

        \[\leadsto \mathsf{/.f64}\left(1, \color{blue}{\left(n \cdot x\right)}\right) \]
      2. *-commutativeN/A

        \[\leadsto \mathsf{/.f64}\left(1, \left(x \cdot \color{blue}{n}\right)\right) \]
      3. *-lowering-*.f64100.0%

        \[\leadsto \mathsf{/.f64}\left(1, \mathsf{*.f64}\left(x, \color{blue}{n}\right)\right) \]
    10. Simplified100.0%

      \[\leadsto \color{blue}{\frac{1}{x \cdot n}} \]
  3. Recombined 4 regimes into one program.
  4. Final simplification84.9%

    \[\leadsto \begin{array}{l} \mathbf{if}\;\frac{1}{n} \leq -0.0005:\\ \;\;\;\;\frac{\frac{1}{{x}^{\left(\frac{-1}{n}\right)}}}{n \cdot x}\\ \mathbf{elif}\;\frac{1}{n} \leq 2 \cdot 10^{-22}:\\ \;\;\;\;\frac{\log \left(\frac{x}{x + 1}\right)}{0 - n}\\ \mathbf{elif}\;\frac{1}{n} \leq 4 \cdot 10^{+244}:\\ \;\;\;\;\left(\frac{x}{n} + 1\right) - {x}^{\left(\frac{1}{n}\right)}\\ \mathbf{else}:\\ \;\;\;\;\frac{1}{n \cdot x}\\ \end{array} \]
  5. Add Preprocessing

Alternative 6: 65.5% accurate, 1.6× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := {x}^{\left(\frac{1}{n}\right)}\\ \mathbf{if}\;\frac{1}{n} \leq -1 \cdot 10^{+167}:\\ \;\;\;\;1 - t\_0\\ \mathbf{elif}\;\frac{1}{n} \leq 2 \cdot 10^{-22}:\\ \;\;\;\;\frac{\log \left(\frac{x}{x + 1}\right)}{0 - n}\\ \mathbf{elif}\;\frac{1}{n} \leq 4 \cdot 10^{+244}:\\ \;\;\;\;\left(\frac{x}{n} + 1\right) - t\_0\\ \mathbf{else}:\\ \;\;\;\;\frac{1}{n \cdot x}\\ \end{array} \end{array} \]
(FPCore (x n)
 :precision binary64
 (let* ((t_0 (pow x (/ 1.0 n))))
   (if (<= (/ 1.0 n) -1e+167)
     (- 1.0 t_0)
     (if (<= (/ 1.0 n) 2e-22)
       (/ (log (/ x (+ x 1.0))) (- 0.0 n))
       (if (<= (/ 1.0 n) 4e+244) (- (+ (/ x n) 1.0) t_0) (/ 1.0 (* n x)))))))
double code(double x, double n) {
	double t_0 = pow(x, (1.0 / n));
	double tmp;
	if ((1.0 / n) <= -1e+167) {
		tmp = 1.0 - t_0;
	} else if ((1.0 / n) <= 2e-22) {
		tmp = log((x / (x + 1.0))) / (0.0 - n);
	} else if ((1.0 / n) <= 4e+244) {
		tmp = ((x / n) + 1.0) - t_0;
	} else {
		tmp = 1.0 / (n * x);
	}
	return tmp;
}
real(8) function code(x, n)
    real(8), intent (in) :: x
    real(8), intent (in) :: n
    real(8) :: t_0
    real(8) :: tmp
    t_0 = x ** (1.0d0 / n)
    if ((1.0d0 / n) <= (-1d+167)) then
        tmp = 1.0d0 - t_0
    else if ((1.0d0 / n) <= 2d-22) then
        tmp = log((x / (x + 1.0d0))) / (0.0d0 - n)
    else if ((1.0d0 / n) <= 4d+244) then
        tmp = ((x / n) + 1.0d0) - t_0
    else
        tmp = 1.0d0 / (n * x)
    end if
    code = tmp
end function
public static double code(double x, double n) {
	double t_0 = Math.pow(x, (1.0 / n));
	double tmp;
	if ((1.0 / n) <= -1e+167) {
		tmp = 1.0 - t_0;
	} else if ((1.0 / n) <= 2e-22) {
		tmp = Math.log((x / (x + 1.0))) / (0.0 - n);
	} else if ((1.0 / n) <= 4e+244) {
		tmp = ((x / n) + 1.0) - t_0;
	} else {
		tmp = 1.0 / (n * x);
	}
	return tmp;
}
def code(x, n):
	t_0 = math.pow(x, (1.0 / n))
	tmp = 0
	if (1.0 / n) <= -1e+167:
		tmp = 1.0 - t_0
	elif (1.0 / n) <= 2e-22:
		tmp = math.log((x / (x + 1.0))) / (0.0 - n)
	elif (1.0 / n) <= 4e+244:
		tmp = ((x / n) + 1.0) - t_0
	else:
		tmp = 1.0 / (n * x)
	return tmp
function code(x, n)
	t_0 = x ^ Float64(1.0 / n)
	tmp = 0.0
	if (Float64(1.0 / n) <= -1e+167)
		tmp = Float64(1.0 - t_0);
	elseif (Float64(1.0 / n) <= 2e-22)
		tmp = Float64(log(Float64(x / Float64(x + 1.0))) / Float64(0.0 - n));
	elseif (Float64(1.0 / n) <= 4e+244)
		tmp = Float64(Float64(Float64(x / n) + 1.0) - t_0);
	else
		tmp = Float64(1.0 / Float64(n * x));
	end
	return tmp
end
function tmp_2 = code(x, n)
	t_0 = x ^ (1.0 / n);
	tmp = 0.0;
	if ((1.0 / n) <= -1e+167)
		tmp = 1.0 - t_0;
	elseif ((1.0 / n) <= 2e-22)
		tmp = log((x / (x + 1.0))) / (0.0 - n);
	elseif ((1.0 / n) <= 4e+244)
		tmp = ((x / n) + 1.0) - t_0;
	else
		tmp = 1.0 / (n * x);
	end
	tmp_2 = tmp;
end
code[x_, n_] := Block[{t$95$0 = N[Power[x, N[(1.0 / n), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(1.0 / n), $MachinePrecision], -1e+167], N[(1.0 - t$95$0), $MachinePrecision], If[LessEqual[N[(1.0 / n), $MachinePrecision], 2e-22], N[(N[Log[N[(x / N[(x + 1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(0.0 - n), $MachinePrecision]), $MachinePrecision], If[LessEqual[N[(1.0 / n), $MachinePrecision], 4e+244], N[(N[(N[(x / n), $MachinePrecision] + 1.0), $MachinePrecision] - t$95$0), $MachinePrecision], N[(1.0 / N[(n * x), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}

\\
\begin{array}{l}
t_0 := {x}^{\left(\frac{1}{n}\right)}\\
\mathbf{if}\;\frac{1}{n} \leq -1 \cdot 10^{+167}:\\
\;\;\;\;1 - t\_0\\

\mathbf{elif}\;\frac{1}{n} \leq 2 \cdot 10^{-22}:\\
\;\;\;\;\frac{\log \left(\frac{x}{x + 1}\right)}{0 - n}\\

\mathbf{elif}\;\frac{1}{n} \leq 4 \cdot 10^{+244}:\\
\;\;\;\;\left(\frac{x}{n} + 1\right) - t\_0\\

\mathbf{else}:\\
\;\;\;\;\frac{1}{n \cdot x}\\


\end{array}
\end{array}
Derivation
  1. Split input into 4 regimes
  2. if (/.f64 #s(literal 1 binary64) n) < -1e167

    1. Initial program 100.0%

      \[{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]
    2. Add Preprocessing
    3. Taylor expanded in x around 0

      \[\leadsto \mathsf{\_.f64}\left(\color{blue}{1}, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(1, n\right)\right)\right) \]
    4. Step-by-step derivation
      1. Simplified70.2%

        \[\leadsto \color{blue}{1} - {x}^{\left(\frac{1}{n}\right)} \]

      if -1e167 < (/.f64 #s(literal 1 binary64) n) < 2.0000000000000001e-22

      1. Initial program 47.1%

        \[{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]
      2. Add Preprocessing
      3. Taylor expanded in n around inf

        \[\leadsto \color{blue}{\frac{\left(\log \left(1 + x\right) + \frac{1}{2} \cdot \frac{{\log \left(1 + x\right)}^{2}}{n}\right) - \left(\log x + \frac{1}{2} \cdot \frac{{\log x}^{2}}{n}\right)}{n}} \]
      4. Step-by-step derivation
        1. /-lowering-/.f64N/A

          \[\leadsto \mathsf{/.f64}\left(\left(\left(\log \left(1 + x\right) + \frac{1}{2} \cdot \frac{{\log \left(1 + x\right)}^{2}}{n}\right) - \left(\log x + \frac{1}{2} \cdot \frac{{\log x}^{2}}{n}\right)\right), \color{blue}{n}\right) \]
      5. Simplified75.7%

        \[\leadsto \color{blue}{\frac{\frac{0.5}{n} \cdot \left({\left(\mathsf{log1p}\left(x\right)\right)}^{2} - {\log x}^{2}\right) + \left(\mathsf{log1p}\left(x\right) - \log x\right)}{n}} \]
      6. Step-by-step derivation
        1. diff-logN/A

          \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \log \left(\frac{1 + x}{x}\right)\right), n\right) \]
        2. +-commutativeN/A

          \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \log \left(\frac{x + 1}{x}\right)\right), n\right) \]
        3. clear-numN/A

          \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \log \left(\frac{1}{\frac{x}{x + 1}}\right)\right), n\right) \]
        4. log-recN/A

          \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \left(\mathsf{neg}\left(\log \left(\frac{x}{x + 1}\right)\right)\right)\right), n\right) \]
        5. neg-lowering-neg.f64N/A

          \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\log \left(\frac{x}{x + 1}\right)\right)\right), n\right) \]
        6. log-lowering-log.f64N/A

          \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\left(\frac{x}{x + 1}\right)\right)\right)\right), n\right) \]
        7. /-lowering-/.f64N/A

          \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \left(x + 1\right)\right)\right)\right)\right), n\right) \]
        8. +-commutativeN/A

          \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \left(1 + x\right)\right)\right)\right)\right), n\right) \]
        9. +-lowering-+.f6476.0%

          \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right)\right)\right), n\right) \]
      7. Applied egg-rr76.0%

        \[\leadsto \frac{\frac{0.5}{n} \cdot \left({\left(\mathsf{log1p}\left(x\right)\right)}^{2} - {\log x}^{2}\right) + \color{blue}{\left(-\log \left(\frac{x}{1 + x}\right)\right)}}{n} \]
      8. Taylor expanded in n around inf

        \[\leadsto \color{blue}{-1 \cdot \frac{\log \left(\frac{x}{1 + x}\right)}{n}} \]
      9. Step-by-step derivation
        1. mul-1-negN/A

          \[\leadsto \mathsf{neg}\left(\frac{\log \left(\frac{x}{1 + x}\right)}{n}\right) \]
        2. distribute-neg-frac2N/A

          \[\leadsto \frac{\log \left(\frac{x}{1 + x}\right)}{\color{blue}{\mathsf{neg}\left(n\right)}} \]
        3. mul-1-negN/A

          \[\leadsto \frac{\log \left(\frac{x}{1 + x}\right)}{-1 \cdot \color{blue}{n}} \]
        4. /-lowering-/.f64N/A

          \[\leadsto \mathsf{/.f64}\left(\log \left(\frac{x}{1 + x}\right), \color{blue}{\left(-1 \cdot n\right)}\right) \]
        5. log-lowering-log.f64N/A

          \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\left(\frac{x}{1 + x}\right)\right), \left(\color{blue}{-1} \cdot n\right)\right) \]
        6. /-lowering-/.f64N/A

          \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \left(1 + x\right)\right)\right), \left(-1 \cdot n\right)\right) \]
        7. +-lowering-+.f64N/A

          \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right), \left(-1 \cdot n\right)\right) \]
        8. mul-1-negN/A

          \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right), \left(\mathsf{neg}\left(n\right)\right)\right) \]
        9. neg-lowering-neg.f6475.1%

          \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right), \mathsf{neg.f64}\left(n\right)\right) \]
      10. Simplified75.1%

        \[\leadsto \color{blue}{\frac{\log \left(\frac{x}{1 + x}\right)}{-n}} \]

      if 2.0000000000000001e-22 < (/.f64 #s(literal 1 binary64) n) < 4.0000000000000003e244

      1. Initial program 76.5%

        \[{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]
      2. Add Preprocessing
      3. Taylor expanded in x around 0

        \[\leadsto \mathsf{\_.f64}\left(\color{blue}{\left(1 + \frac{x}{n}\right)}, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(1, n\right)\right)\right) \]
      4. Step-by-step derivation
        1. *-rgt-identityN/A

          \[\leadsto \mathsf{\_.f64}\left(\left(1 + \frac{x \cdot 1}{n}\right), \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(1, n\right)\right)\right) \]
        2. associate-*r/N/A

          \[\leadsto \mathsf{\_.f64}\left(\left(1 + x \cdot \frac{1}{n}\right), \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(1, n\right)\right)\right) \]
        3. +-lowering-+.f64N/A

          \[\leadsto \mathsf{\_.f64}\left(\mathsf{+.f64}\left(1, \left(x \cdot \frac{1}{n}\right)\right), \mathsf{pow.f64}\left(\color{blue}{x}, \mathsf{/.f64}\left(1, n\right)\right)\right) \]
        4. associate-*r/N/A

          \[\leadsto \mathsf{\_.f64}\left(\mathsf{+.f64}\left(1, \left(\frac{x \cdot 1}{n}\right)\right), \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(1, n\right)\right)\right) \]
        5. *-rgt-identityN/A

          \[\leadsto \mathsf{\_.f64}\left(\mathsf{+.f64}\left(1, \left(\frac{x}{n}\right)\right), \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(1, n\right)\right)\right) \]
        6. /-lowering-/.f6470.8%

          \[\leadsto \mathsf{\_.f64}\left(\mathsf{+.f64}\left(1, \mathsf{/.f64}\left(x, n\right)\right), \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(1, n\right)\right)\right) \]
      5. Simplified70.8%

        \[\leadsto \color{blue}{\left(1 + \frac{x}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]

      if 4.0000000000000003e244 < (/.f64 #s(literal 1 binary64) n)

      1. Initial program 3.1%

        \[{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]
      2. Add Preprocessing
      3. Step-by-step derivation
        1. flip3--N/A

          \[\leadsto \frac{{\left({\left(x + 1\right)}^{\left(\frac{1}{n}\right)}\right)}^{3} - {\left({x}^{\left(\frac{1}{n}\right)}\right)}^{3}}{\color{blue}{{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)}} \]
        2. /-lowering-/.f64N/A

          \[\leadsto \mathsf{/.f64}\left(\left({\left({\left(x + 1\right)}^{\left(\frac{1}{n}\right)}\right)}^{3} - {\left({x}^{\left(\frac{1}{n}\right)}\right)}^{3}\right), \color{blue}{\left({\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)}\right) \]
        3. --lowering--.f64N/A

          \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\left({\left({\left(x + 1\right)}^{\left(\frac{1}{n}\right)}\right)}^{3}\right), \left({\left({x}^{\left(\frac{1}{n}\right)}\right)}^{3}\right)\right), \left(\color{blue}{{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {\left(x + 1\right)}^{\left(\frac{1}{n}\right)}} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
        4. pow-powN/A

          \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\left({\left(x + 1\right)}^{\left(\frac{1}{n} \cdot 3\right)}\right), \left({\left({x}^{\left(\frac{1}{n}\right)}\right)}^{3}\right)\right), \left(\color{blue}{{\left(x + 1\right)}^{\left(\frac{1}{n}\right)}} \cdot {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
        5. pow-lowering-pow.f64N/A

          \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\left(x + 1\right), \left(\frac{1}{n} \cdot 3\right)\right), \left({\left({x}^{\left(\frac{1}{n}\right)}\right)}^{3}\right)\right), \left(\color{blue}{{\left(x + 1\right)}^{\left(\frac{1}{n}\right)}} \cdot {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
        6. +-lowering-+.f64N/A

          \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \left(\frac{1}{n} \cdot 3\right)\right), \left({\left({x}^{\left(\frac{1}{n}\right)}\right)}^{3}\right)\right), \left({\color{blue}{\left(x + 1\right)}}^{\left(\frac{1}{n}\right)} \cdot {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
        7. associate-*l/N/A

          \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \left(\frac{1 \cdot 3}{n}\right)\right), \left({\left({x}^{\left(\frac{1}{n}\right)}\right)}^{3}\right)\right), \left({\left(x + 1\right)}^{\color{blue}{\left(\frac{1}{n}\right)}} \cdot {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
        8. metadata-evalN/A

          \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \left(\frac{3}{n}\right)\right), \left({\left({x}^{\left(\frac{1}{n}\right)}\right)}^{3}\right)\right), \left({\left(x + 1\right)}^{\left(\frac{\color{blue}{1}}{n}\right)} \cdot {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
        9. /-lowering-/.f64N/A

          \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \mathsf{/.f64}\left(3, n\right)\right), \left({\left({x}^{\left(\frac{1}{n}\right)}\right)}^{3}\right)\right), \left({\left(x + 1\right)}^{\color{blue}{\left(\frac{1}{n}\right)}} \cdot {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
        10. pow-powN/A

          \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \mathsf{/.f64}\left(3, n\right)\right), \left({x}^{\left(\frac{1}{n} \cdot 3\right)}\right)\right), \left({\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot \color{blue}{{\left(x + 1\right)}^{\left(\frac{1}{n}\right)}} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
        11. pow-lowering-pow.f64N/A

          \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \mathsf{/.f64}\left(3, n\right)\right), \mathsf{pow.f64}\left(x, \left(\frac{1}{n} \cdot 3\right)\right)\right), \left({\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot \color{blue}{{\left(x + 1\right)}^{\left(\frac{1}{n}\right)}} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
        12. associate-*l/N/A

          \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \mathsf{/.f64}\left(3, n\right)\right), \mathsf{pow.f64}\left(x, \left(\frac{1 \cdot 3}{n}\right)\right)\right), \left({\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {\left(x + 1\right)}^{\color{blue}{\left(\frac{1}{n}\right)}} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
        13. metadata-evalN/A

          \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \mathsf{/.f64}\left(3, n\right)\right), \mathsf{pow.f64}\left(x, \left(\frac{3}{n}\right)\right)\right), \left({\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {\left(x + 1\right)}^{\left(\frac{\color{blue}{1}}{n}\right)} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
        14. /-lowering-/.f64N/A

          \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \mathsf{/.f64}\left(3, n\right)\right), \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(3, n\right)\right)\right), \left({\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {\left(x + 1\right)}^{\color{blue}{\left(\frac{1}{n}\right)}} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
      4. Applied egg-rr3.1%

        \[\leadsto \color{blue}{\frac{{\left(x + 1\right)}^{\left(\frac{3}{n}\right)} - {x}^{\left(\frac{3}{n}\right)}}{{\left(x + 1\right)}^{\left(\frac{2}{n}\right)} + \left({x}^{\left(\frac{2}{n}\right)} + {\left(x \cdot \left(x + 1\right)\right)}^{\left(\frac{1}{n}\right)}\right)}} \]
      5. Taylor expanded in x around inf

        \[\leadsto \color{blue}{3 \cdot \frac{e^{-3 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}}{n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)}} \]
      6. Step-by-step derivation
        1. associate-*r/N/A

          \[\leadsto \frac{3 \cdot e^{-3 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}}{\color{blue}{n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)}} \]
        2. /-lowering-/.f64N/A

          \[\leadsto \mathsf{/.f64}\left(\left(3 \cdot e^{-3 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right), \color{blue}{\left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)}\right) \]
        3. *-lowering-*.f64N/A

          \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \left(e^{-3 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right), \left(\color{blue}{n} \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
        4. exp-lowering-exp.f64N/A

          \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \mathsf{exp.f64}\left(\left(-3 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}\right)\right)\right), \left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
        5. associate-*r/N/A

          \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \mathsf{exp.f64}\left(\left(\frac{-3 \cdot \log \left(\frac{1}{x}\right)}{n}\right)\right)\right), \left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
        6. /-lowering-/.f64N/A

          \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \mathsf{exp.f64}\left(\mathsf{/.f64}\left(\left(-3 \cdot \log \left(\frac{1}{x}\right)\right), n\right)\right)\right), \left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
        7. *-lowering-*.f64N/A

          \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \mathsf{exp.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(-3, \log \left(\frac{1}{x}\right)\right), n\right)\right)\right), \left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
        8. log-recN/A

          \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \mathsf{exp.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(-3, \left(\mathsf{neg}\left(\log x\right)\right)\right), n\right)\right)\right), \left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
        9. mul-1-negN/A

          \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \mathsf{exp.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(-3, \left(-1 \cdot \log x\right)\right), n\right)\right)\right), \left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
        10. *-commutativeN/A

          \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \mathsf{exp.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(-3, \left(\log x \cdot -1\right)\right), n\right)\right)\right), \left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
        11. *-lowering-*.f64N/A

          \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \mathsf{exp.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(-3, \mathsf{*.f64}\left(\log x, -1\right)\right), n\right)\right)\right), \left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
        12. log-lowering-log.f64N/A

          \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \mathsf{exp.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(-3, \mathsf{*.f64}\left(\mathsf{log.f64}\left(x\right), -1\right)\right), n\right)\right)\right), \left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
      7. Simplified0.0%

        \[\leadsto \color{blue}{\frac{3 \cdot e^{\frac{-3 \cdot \left(\log x \cdot -1\right)}{n}}}{\left(x \cdot n\right) \cdot \left(3 \cdot e^{\frac{-2 \cdot \left(\log x \cdot -1\right)}{n}}\right)}} \]
      8. Taylor expanded in n around inf

        \[\leadsto \color{blue}{\frac{1}{n \cdot x}} \]
      9. Step-by-step derivation
        1. /-lowering-/.f64N/A

          \[\leadsto \mathsf{/.f64}\left(1, \color{blue}{\left(n \cdot x\right)}\right) \]
        2. *-commutativeN/A

          \[\leadsto \mathsf{/.f64}\left(1, \left(x \cdot \color{blue}{n}\right)\right) \]
        3. *-lowering-*.f64100.0%

          \[\leadsto \mathsf{/.f64}\left(1, \mathsf{*.f64}\left(x, \color{blue}{n}\right)\right) \]
      10. Simplified100.0%

        \[\leadsto \color{blue}{\frac{1}{x \cdot n}} \]
    5. Recombined 4 regimes into one program.
    6. Final simplification74.7%

      \[\leadsto \begin{array}{l} \mathbf{if}\;\frac{1}{n} \leq -1 \cdot 10^{+167}:\\ \;\;\;\;1 - {x}^{\left(\frac{1}{n}\right)}\\ \mathbf{elif}\;\frac{1}{n} \leq 2 \cdot 10^{-22}:\\ \;\;\;\;\frac{\log \left(\frac{x}{x + 1}\right)}{0 - n}\\ \mathbf{elif}\;\frac{1}{n} \leq 4 \cdot 10^{+244}:\\ \;\;\;\;\left(\frac{x}{n} + 1\right) - {x}^{\left(\frac{1}{n}\right)}\\ \mathbf{else}:\\ \;\;\;\;\frac{1}{n \cdot x}\\ \end{array} \]
    7. Add Preprocessing

    Alternative 7: 65.6% accurate, 1.7× speedup?

    \[\begin{array}{l} \\ \begin{array}{l} t_0 := 1 - {x}^{\left(\frac{1}{n}\right)}\\ \mathbf{if}\;\frac{1}{n} \leq -1 \cdot 10^{+167}:\\ \;\;\;\;t\_0\\ \mathbf{elif}\;\frac{1}{n} \leq 2 \cdot 10^{-22}:\\ \;\;\;\;\frac{\log \left(\frac{x}{x + 1}\right)}{0 - n}\\ \mathbf{elif}\;\frac{1}{n} \leq 5 \cdot 10^{+234}:\\ \;\;\;\;t\_0\\ \mathbf{else}:\\ \;\;\;\;\frac{1}{n \cdot x}\\ \end{array} \end{array} \]
    (FPCore (x n)
     :precision binary64
     (let* ((t_0 (- 1.0 (pow x (/ 1.0 n)))))
       (if (<= (/ 1.0 n) -1e+167)
         t_0
         (if (<= (/ 1.0 n) 2e-22)
           (/ (log (/ x (+ x 1.0))) (- 0.0 n))
           (if (<= (/ 1.0 n) 5e+234) t_0 (/ 1.0 (* n x)))))))
    double code(double x, double n) {
    	double t_0 = 1.0 - pow(x, (1.0 / n));
    	double tmp;
    	if ((1.0 / n) <= -1e+167) {
    		tmp = t_0;
    	} else if ((1.0 / n) <= 2e-22) {
    		tmp = log((x / (x + 1.0))) / (0.0 - n);
    	} else if ((1.0 / n) <= 5e+234) {
    		tmp = t_0;
    	} else {
    		tmp = 1.0 / (n * x);
    	}
    	return tmp;
    }
    
    real(8) function code(x, n)
        real(8), intent (in) :: x
        real(8), intent (in) :: n
        real(8) :: t_0
        real(8) :: tmp
        t_0 = 1.0d0 - (x ** (1.0d0 / n))
        if ((1.0d0 / n) <= (-1d+167)) then
            tmp = t_0
        else if ((1.0d0 / n) <= 2d-22) then
            tmp = log((x / (x + 1.0d0))) / (0.0d0 - n)
        else if ((1.0d0 / n) <= 5d+234) then
            tmp = t_0
        else
            tmp = 1.0d0 / (n * x)
        end if
        code = tmp
    end function
    
    public static double code(double x, double n) {
    	double t_0 = 1.0 - Math.pow(x, (1.0 / n));
    	double tmp;
    	if ((1.0 / n) <= -1e+167) {
    		tmp = t_0;
    	} else if ((1.0 / n) <= 2e-22) {
    		tmp = Math.log((x / (x + 1.0))) / (0.0 - n);
    	} else if ((1.0 / n) <= 5e+234) {
    		tmp = t_0;
    	} else {
    		tmp = 1.0 / (n * x);
    	}
    	return tmp;
    }
    
    def code(x, n):
    	t_0 = 1.0 - math.pow(x, (1.0 / n))
    	tmp = 0
    	if (1.0 / n) <= -1e+167:
    		tmp = t_0
    	elif (1.0 / n) <= 2e-22:
    		tmp = math.log((x / (x + 1.0))) / (0.0 - n)
    	elif (1.0 / n) <= 5e+234:
    		tmp = t_0
    	else:
    		tmp = 1.0 / (n * x)
    	return tmp
    
    function code(x, n)
    	t_0 = Float64(1.0 - (x ^ Float64(1.0 / n)))
    	tmp = 0.0
    	if (Float64(1.0 / n) <= -1e+167)
    		tmp = t_0;
    	elseif (Float64(1.0 / n) <= 2e-22)
    		tmp = Float64(log(Float64(x / Float64(x + 1.0))) / Float64(0.0 - n));
    	elseif (Float64(1.0 / n) <= 5e+234)
    		tmp = t_0;
    	else
    		tmp = Float64(1.0 / Float64(n * x));
    	end
    	return tmp
    end
    
    function tmp_2 = code(x, n)
    	t_0 = 1.0 - (x ^ (1.0 / n));
    	tmp = 0.0;
    	if ((1.0 / n) <= -1e+167)
    		tmp = t_0;
    	elseif ((1.0 / n) <= 2e-22)
    		tmp = log((x / (x + 1.0))) / (0.0 - n);
    	elseif ((1.0 / n) <= 5e+234)
    		tmp = t_0;
    	else
    		tmp = 1.0 / (n * x);
    	end
    	tmp_2 = tmp;
    end
    
    code[x_, n_] := Block[{t$95$0 = N[(1.0 - N[Power[x, N[(1.0 / n), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(1.0 / n), $MachinePrecision], -1e+167], t$95$0, If[LessEqual[N[(1.0 / n), $MachinePrecision], 2e-22], N[(N[Log[N[(x / N[(x + 1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[(0.0 - n), $MachinePrecision]), $MachinePrecision], If[LessEqual[N[(1.0 / n), $MachinePrecision], 5e+234], t$95$0, N[(1.0 / N[(n * x), $MachinePrecision]), $MachinePrecision]]]]]
    
    \begin{array}{l}
    
    \\
    \begin{array}{l}
    t_0 := 1 - {x}^{\left(\frac{1}{n}\right)}\\
    \mathbf{if}\;\frac{1}{n} \leq -1 \cdot 10^{+167}:\\
    \;\;\;\;t\_0\\
    
    \mathbf{elif}\;\frac{1}{n} \leq 2 \cdot 10^{-22}:\\
    \;\;\;\;\frac{\log \left(\frac{x}{x + 1}\right)}{0 - n}\\
    
    \mathbf{elif}\;\frac{1}{n} \leq 5 \cdot 10^{+234}:\\
    \;\;\;\;t\_0\\
    
    \mathbf{else}:\\
    \;\;\;\;\frac{1}{n \cdot x}\\
    
    
    \end{array}
    \end{array}
    
    Derivation
    1. Split input into 3 regimes
    2. if (/.f64 #s(literal 1 binary64) n) < -1e167 or 2.0000000000000001e-22 < (/.f64 #s(literal 1 binary64) n) < 5.0000000000000003e234

      1. Initial program 90.0%

        \[{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]
      2. Add Preprocessing
      3. Taylor expanded in x around 0

        \[\leadsto \mathsf{\_.f64}\left(\color{blue}{1}, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(1, n\right)\right)\right) \]
      4. Step-by-step derivation
        1. Simplified70.9%

          \[\leadsto \color{blue}{1} - {x}^{\left(\frac{1}{n}\right)} \]

        if -1e167 < (/.f64 #s(literal 1 binary64) n) < 2.0000000000000001e-22

        1. Initial program 47.1%

          \[{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]
        2. Add Preprocessing
        3. Taylor expanded in n around inf

          \[\leadsto \color{blue}{\frac{\left(\log \left(1 + x\right) + \frac{1}{2} \cdot \frac{{\log \left(1 + x\right)}^{2}}{n}\right) - \left(\log x + \frac{1}{2} \cdot \frac{{\log x}^{2}}{n}\right)}{n}} \]
        4. Step-by-step derivation
          1. /-lowering-/.f64N/A

            \[\leadsto \mathsf{/.f64}\left(\left(\left(\log \left(1 + x\right) + \frac{1}{2} \cdot \frac{{\log \left(1 + x\right)}^{2}}{n}\right) - \left(\log x + \frac{1}{2} \cdot \frac{{\log x}^{2}}{n}\right)\right), \color{blue}{n}\right) \]
        5. Simplified75.7%

          \[\leadsto \color{blue}{\frac{\frac{0.5}{n} \cdot \left({\left(\mathsf{log1p}\left(x\right)\right)}^{2} - {\log x}^{2}\right) + \left(\mathsf{log1p}\left(x\right) - \log x\right)}{n}} \]
        6. Step-by-step derivation
          1. diff-logN/A

            \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \log \left(\frac{1 + x}{x}\right)\right), n\right) \]
          2. +-commutativeN/A

            \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \log \left(\frac{x + 1}{x}\right)\right), n\right) \]
          3. clear-numN/A

            \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \log \left(\frac{1}{\frac{x}{x + 1}}\right)\right), n\right) \]
          4. log-recN/A

            \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \left(\mathsf{neg}\left(\log \left(\frac{x}{x + 1}\right)\right)\right)\right), n\right) \]
          5. neg-lowering-neg.f64N/A

            \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\log \left(\frac{x}{x + 1}\right)\right)\right), n\right) \]
          6. log-lowering-log.f64N/A

            \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\left(\frac{x}{x + 1}\right)\right)\right)\right), n\right) \]
          7. /-lowering-/.f64N/A

            \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \left(x + 1\right)\right)\right)\right)\right), n\right) \]
          8. +-commutativeN/A

            \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \left(1 + x\right)\right)\right)\right)\right), n\right) \]
          9. +-lowering-+.f6476.0%

            \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right)\right)\right), n\right) \]
        7. Applied egg-rr76.0%

          \[\leadsto \frac{\frac{0.5}{n} \cdot \left({\left(\mathsf{log1p}\left(x\right)\right)}^{2} - {\log x}^{2}\right) + \color{blue}{\left(-\log \left(\frac{x}{1 + x}\right)\right)}}{n} \]
        8. Taylor expanded in n around inf

          \[\leadsto \color{blue}{-1 \cdot \frac{\log \left(\frac{x}{1 + x}\right)}{n}} \]
        9. Step-by-step derivation
          1. mul-1-negN/A

            \[\leadsto \mathsf{neg}\left(\frac{\log \left(\frac{x}{1 + x}\right)}{n}\right) \]
          2. distribute-neg-frac2N/A

            \[\leadsto \frac{\log \left(\frac{x}{1 + x}\right)}{\color{blue}{\mathsf{neg}\left(n\right)}} \]
          3. mul-1-negN/A

            \[\leadsto \frac{\log \left(\frac{x}{1 + x}\right)}{-1 \cdot \color{blue}{n}} \]
          4. /-lowering-/.f64N/A

            \[\leadsto \mathsf{/.f64}\left(\log \left(\frac{x}{1 + x}\right), \color{blue}{\left(-1 \cdot n\right)}\right) \]
          5. log-lowering-log.f64N/A

            \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\left(\frac{x}{1 + x}\right)\right), \left(\color{blue}{-1} \cdot n\right)\right) \]
          6. /-lowering-/.f64N/A

            \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \left(1 + x\right)\right)\right), \left(-1 \cdot n\right)\right) \]
          7. +-lowering-+.f64N/A

            \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right), \left(-1 \cdot n\right)\right) \]
          8. mul-1-negN/A

            \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right), \left(\mathsf{neg}\left(n\right)\right)\right) \]
          9. neg-lowering-neg.f6475.1%

            \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right), \mathsf{neg.f64}\left(n\right)\right) \]
        10. Simplified75.1%

          \[\leadsto \color{blue}{\frac{\log \left(\frac{x}{1 + x}\right)}{-n}} \]

        if 5.0000000000000003e234 < (/.f64 #s(literal 1 binary64) n)

        1. Initial program 17.0%

          \[{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]
        2. Add Preprocessing
        3. Step-by-step derivation
          1. flip3--N/A

            \[\leadsto \frac{{\left({\left(x + 1\right)}^{\left(\frac{1}{n}\right)}\right)}^{3} - {\left({x}^{\left(\frac{1}{n}\right)}\right)}^{3}}{\color{blue}{{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)}} \]
          2. /-lowering-/.f64N/A

            \[\leadsto \mathsf{/.f64}\left(\left({\left({\left(x + 1\right)}^{\left(\frac{1}{n}\right)}\right)}^{3} - {\left({x}^{\left(\frac{1}{n}\right)}\right)}^{3}\right), \color{blue}{\left({\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)}\right) \]
          3. --lowering--.f64N/A

            \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\left({\left({\left(x + 1\right)}^{\left(\frac{1}{n}\right)}\right)}^{3}\right), \left({\left({x}^{\left(\frac{1}{n}\right)}\right)}^{3}\right)\right), \left(\color{blue}{{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {\left(x + 1\right)}^{\left(\frac{1}{n}\right)}} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
          4. pow-powN/A

            \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\left({\left(x + 1\right)}^{\left(\frac{1}{n} \cdot 3\right)}\right), \left({\left({x}^{\left(\frac{1}{n}\right)}\right)}^{3}\right)\right), \left(\color{blue}{{\left(x + 1\right)}^{\left(\frac{1}{n}\right)}} \cdot {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
          5. pow-lowering-pow.f64N/A

            \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\left(x + 1\right), \left(\frac{1}{n} \cdot 3\right)\right), \left({\left({x}^{\left(\frac{1}{n}\right)}\right)}^{3}\right)\right), \left(\color{blue}{{\left(x + 1\right)}^{\left(\frac{1}{n}\right)}} \cdot {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
          6. +-lowering-+.f64N/A

            \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \left(\frac{1}{n} \cdot 3\right)\right), \left({\left({x}^{\left(\frac{1}{n}\right)}\right)}^{3}\right)\right), \left({\color{blue}{\left(x + 1\right)}}^{\left(\frac{1}{n}\right)} \cdot {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
          7. associate-*l/N/A

            \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \left(\frac{1 \cdot 3}{n}\right)\right), \left({\left({x}^{\left(\frac{1}{n}\right)}\right)}^{3}\right)\right), \left({\left(x + 1\right)}^{\color{blue}{\left(\frac{1}{n}\right)}} \cdot {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
          8. metadata-evalN/A

            \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \left(\frac{3}{n}\right)\right), \left({\left({x}^{\left(\frac{1}{n}\right)}\right)}^{3}\right)\right), \left({\left(x + 1\right)}^{\left(\frac{\color{blue}{1}}{n}\right)} \cdot {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
          9. /-lowering-/.f64N/A

            \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \mathsf{/.f64}\left(3, n\right)\right), \left({\left({x}^{\left(\frac{1}{n}\right)}\right)}^{3}\right)\right), \left({\left(x + 1\right)}^{\color{blue}{\left(\frac{1}{n}\right)}} \cdot {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
          10. pow-powN/A

            \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \mathsf{/.f64}\left(3, n\right)\right), \left({x}^{\left(\frac{1}{n} \cdot 3\right)}\right)\right), \left({\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot \color{blue}{{\left(x + 1\right)}^{\left(\frac{1}{n}\right)}} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
          11. pow-lowering-pow.f64N/A

            \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \mathsf{/.f64}\left(3, n\right)\right), \mathsf{pow.f64}\left(x, \left(\frac{1}{n} \cdot 3\right)\right)\right), \left({\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot \color{blue}{{\left(x + 1\right)}^{\left(\frac{1}{n}\right)}} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
          12. associate-*l/N/A

            \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \mathsf{/.f64}\left(3, n\right)\right), \mathsf{pow.f64}\left(x, \left(\frac{1 \cdot 3}{n}\right)\right)\right), \left({\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {\left(x + 1\right)}^{\color{blue}{\left(\frac{1}{n}\right)}} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
          13. metadata-evalN/A

            \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \mathsf{/.f64}\left(3, n\right)\right), \mathsf{pow.f64}\left(x, \left(\frac{3}{n}\right)\right)\right), \left({\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {\left(x + 1\right)}^{\left(\frac{\color{blue}{1}}{n}\right)} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
          14. /-lowering-/.f64N/A

            \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \mathsf{/.f64}\left(3, n\right)\right), \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(3, n\right)\right)\right), \left({\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {\left(x + 1\right)}^{\color{blue}{\left(\frac{1}{n}\right)}} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
        4. Applied egg-rr17.0%

          \[\leadsto \color{blue}{\frac{{\left(x + 1\right)}^{\left(\frac{3}{n}\right)} - {x}^{\left(\frac{3}{n}\right)}}{{\left(x + 1\right)}^{\left(\frac{2}{n}\right)} + \left({x}^{\left(\frac{2}{n}\right)} + {\left(x \cdot \left(x + 1\right)\right)}^{\left(\frac{1}{n}\right)}\right)}} \]
        5. Taylor expanded in x around inf

          \[\leadsto \color{blue}{3 \cdot \frac{e^{-3 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}}{n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)}} \]
        6. Step-by-step derivation
          1. associate-*r/N/A

            \[\leadsto \frac{3 \cdot e^{-3 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}}{\color{blue}{n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)}} \]
          2. /-lowering-/.f64N/A

            \[\leadsto \mathsf{/.f64}\left(\left(3 \cdot e^{-3 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right), \color{blue}{\left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)}\right) \]
          3. *-lowering-*.f64N/A

            \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \left(e^{-3 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right), \left(\color{blue}{n} \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
          4. exp-lowering-exp.f64N/A

            \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \mathsf{exp.f64}\left(\left(-3 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}\right)\right)\right), \left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
          5. associate-*r/N/A

            \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \mathsf{exp.f64}\left(\left(\frac{-3 \cdot \log \left(\frac{1}{x}\right)}{n}\right)\right)\right), \left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
          6. /-lowering-/.f64N/A

            \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \mathsf{exp.f64}\left(\mathsf{/.f64}\left(\left(-3 \cdot \log \left(\frac{1}{x}\right)\right), n\right)\right)\right), \left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
          7. *-lowering-*.f64N/A

            \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \mathsf{exp.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(-3, \log \left(\frac{1}{x}\right)\right), n\right)\right)\right), \left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
          8. log-recN/A

            \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \mathsf{exp.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(-3, \left(\mathsf{neg}\left(\log x\right)\right)\right), n\right)\right)\right), \left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
          9. mul-1-negN/A

            \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \mathsf{exp.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(-3, \left(-1 \cdot \log x\right)\right), n\right)\right)\right), \left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
          10. *-commutativeN/A

            \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \mathsf{exp.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(-3, \left(\log x \cdot -1\right)\right), n\right)\right)\right), \left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
          11. *-lowering-*.f64N/A

            \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \mathsf{exp.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(-3, \mathsf{*.f64}\left(\log x, -1\right)\right), n\right)\right)\right), \left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
          12. log-lowering-log.f64N/A

            \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \mathsf{exp.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(-3, \mathsf{*.f64}\left(\mathsf{log.f64}\left(x\right), -1\right)\right), n\right)\right)\right), \left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
        7. Simplified0.0%

          \[\leadsto \color{blue}{\frac{3 \cdot e^{\frac{-3 \cdot \left(\log x \cdot -1\right)}{n}}}{\left(x \cdot n\right) \cdot \left(3 \cdot e^{\frac{-2 \cdot \left(\log x \cdot -1\right)}{n}}\right)}} \]
        8. Taylor expanded in n around inf

          \[\leadsto \color{blue}{\frac{1}{n \cdot x}} \]
        9. Step-by-step derivation
          1. /-lowering-/.f64N/A

            \[\leadsto \mathsf{/.f64}\left(1, \color{blue}{\left(n \cdot x\right)}\right) \]
          2. *-commutativeN/A

            \[\leadsto \mathsf{/.f64}\left(1, \left(x \cdot \color{blue}{n}\right)\right) \]
          3. *-lowering-*.f6486.2%

            \[\leadsto \mathsf{/.f64}\left(1, \mathsf{*.f64}\left(x, \color{blue}{n}\right)\right) \]
        10. Simplified86.2%

          \[\leadsto \color{blue}{\frac{1}{x \cdot n}} \]
      5. Recombined 3 regimes into one program.
      6. Final simplification74.6%

        \[\leadsto \begin{array}{l} \mathbf{if}\;\frac{1}{n} \leq -1 \cdot 10^{+167}:\\ \;\;\;\;1 - {x}^{\left(\frac{1}{n}\right)}\\ \mathbf{elif}\;\frac{1}{n} \leq 2 \cdot 10^{-22}:\\ \;\;\;\;\frac{\log \left(\frac{x}{x + 1}\right)}{0 - n}\\ \mathbf{elif}\;\frac{1}{n} \leq 5 \cdot 10^{+234}:\\ \;\;\;\;1 - {x}^{\left(\frac{1}{n}\right)}\\ \mathbf{else}:\\ \;\;\;\;\frac{1}{n \cdot x}\\ \end{array} \]
      7. Add Preprocessing

      Alternative 8: 65.5% accurate, 1.7× speedup?

      \[\begin{array}{l} \\ \begin{array}{l} t_0 := 1 - {x}^{\left(\frac{1}{n}\right)}\\ \mathbf{if}\;\frac{1}{n} \leq -1 \cdot 10^{+167}:\\ \;\;\;\;t\_0\\ \mathbf{elif}\;\frac{1}{n} \leq 2 \cdot 10^{-22}:\\ \;\;\;\;\frac{\log \left(\frac{x + 1}{x}\right)}{n}\\ \mathbf{elif}\;\frac{1}{n} \leq 5 \cdot 10^{+234}:\\ \;\;\;\;t\_0\\ \mathbf{else}:\\ \;\;\;\;\frac{1}{n \cdot x}\\ \end{array} \end{array} \]
      (FPCore (x n)
       :precision binary64
       (let* ((t_0 (- 1.0 (pow x (/ 1.0 n)))))
         (if (<= (/ 1.0 n) -1e+167)
           t_0
           (if (<= (/ 1.0 n) 2e-22)
             (/ (log (/ (+ x 1.0) x)) n)
             (if (<= (/ 1.0 n) 5e+234) t_0 (/ 1.0 (* n x)))))))
      double code(double x, double n) {
      	double t_0 = 1.0 - pow(x, (1.0 / n));
      	double tmp;
      	if ((1.0 / n) <= -1e+167) {
      		tmp = t_0;
      	} else if ((1.0 / n) <= 2e-22) {
      		tmp = log(((x + 1.0) / x)) / n;
      	} else if ((1.0 / n) <= 5e+234) {
      		tmp = t_0;
      	} else {
      		tmp = 1.0 / (n * x);
      	}
      	return tmp;
      }
      
      real(8) function code(x, n)
          real(8), intent (in) :: x
          real(8), intent (in) :: n
          real(8) :: t_0
          real(8) :: tmp
          t_0 = 1.0d0 - (x ** (1.0d0 / n))
          if ((1.0d0 / n) <= (-1d+167)) then
              tmp = t_0
          else if ((1.0d0 / n) <= 2d-22) then
              tmp = log(((x + 1.0d0) / x)) / n
          else if ((1.0d0 / n) <= 5d+234) then
              tmp = t_0
          else
              tmp = 1.0d0 / (n * x)
          end if
          code = tmp
      end function
      
      public static double code(double x, double n) {
      	double t_0 = 1.0 - Math.pow(x, (1.0 / n));
      	double tmp;
      	if ((1.0 / n) <= -1e+167) {
      		tmp = t_0;
      	} else if ((1.0 / n) <= 2e-22) {
      		tmp = Math.log(((x + 1.0) / x)) / n;
      	} else if ((1.0 / n) <= 5e+234) {
      		tmp = t_0;
      	} else {
      		tmp = 1.0 / (n * x);
      	}
      	return tmp;
      }
      
      def code(x, n):
      	t_0 = 1.0 - math.pow(x, (1.0 / n))
      	tmp = 0
      	if (1.0 / n) <= -1e+167:
      		tmp = t_0
      	elif (1.0 / n) <= 2e-22:
      		tmp = math.log(((x + 1.0) / x)) / n
      	elif (1.0 / n) <= 5e+234:
      		tmp = t_0
      	else:
      		tmp = 1.0 / (n * x)
      	return tmp
      
      function code(x, n)
      	t_0 = Float64(1.0 - (x ^ Float64(1.0 / n)))
      	tmp = 0.0
      	if (Float64(1.0 / n) <= -1e+167)
      		tmp = t_0;
      	elseif (Float64(1.0 / n) <= 2e-22)
      		tmp = Float64(log(Float64(Float64(x + 1.0) / x)) / n);
      	elseif (Float64(1.0 / n) <= 5e+234)
      		tmp = t_0;
      	else
      		tmp = Float64(1.0 / Float64(n * x));
      	end
      	return tmp
      end
      
      function tmp_2 = code(x, n)
      	t_0 = 1.0 - (x ^ (1.0 / n));
      	tmp = 0.0;
      	if ((1.0 / n) <= -1e+167)
      		tmp = t_0;
      	elseif ((1.0 / n) <= 2e-22)
      		tmp = log(((x + 1.0) / x)) / n;
      	elseif ((1.0 / n) <= 5e+234)
      		tmp = t_0;
      	else
      		tmp = 1.0 / (n * x);
      	end
      	tmp_2 = tmp;
      end
      
      code[x_, n_] := Block[{t$95$0 = N[(1.0 - N[Power[x, N[(1.0 / n), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(1.0 / n), $MachinePrecision], -1e+167], t$95$0, If[LessEqual[N[(1.0 / n), $MachinePrecision], 2e-22], N[(N[Log[N[(N[(x + 1.0), $MachinePrecision] / x), $MachinePrecision]], $MachinePrecision] / n), $MachinePrecision], If[LessEqual[N[(1.0 / n), $MachinePrecision], 5e+234], t$95$0, N[(1.0 / N[(n * x), $MachinePrecision]), $MachinePrecision]]]]]
      
      \begin{array}{l}
      
      \\
      \begin{array}{l}
      t_0 := 1 - {x}^{\left(\frac{1}{n}\right)}\\
      \mathbf{if}\;\frac{1}{n} \leq -1 \cdot 10^{+167}:\\
      \;\;\;\;t\_0\\
      
      \mathbf{elif}\;\frac{1}{n} \leq 2 \cdot 10^{-22}:\\
      \;\;\;\;\frac{\log \left(\frac{x + 1}{x}\right)}{n}\\
      
      \mathbf{elif}\;\frac{1}{n} \leq 5 \cdot 10^{+234}:\\
      \;\;\;\;t\_0\\
      
      \mathbf{else}:\\
      \;\;\;\;\frac{1}{n \cdot x}\\
      
      
      \end{array}
      \end{array}
      
      Derivation
      1. Split input into 3 regimes
      2. if (/.f64 #s(literal 1 binary64) n) < -1e167 or 2.0000000000000001e-22 < (/.f64 #s(literal 1 binary64) n) < 5.0000000000000003e234

        1. Initial program 90.0%

          \[{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]
        2. Add Preprocessing
        3. Taylor expanded in x around 0

          \[\leadsto \mathsf{\_.f64}\left(\color{blue}{1}, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(1, n\right)\right)\right) \]
        4. Step-by-step derivation
          1. Simplified70.9%

            \[\leadsto \color{blue}{1} - {x}^{\left(\frac{1}{n}\right)} \]

          if -1e167 < (/.f64 #s(literal 1 binary64) n) < 2.0000000000000001e-22

          1. Initial program 47.1%

            \[{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]
          2. Add Preprocessing
          3. Taylor expanded in n around inf

            \[\leadsto \color{blue}{\frac{\left(\log \left(1 + x\right) + \frac{1}{2} \cdot \frac{{\log \left(1 + x\right)}^{2}}{n}\right) - \left(\log x + \frac{1}{2} \cdot \frac{{\log x}^{2}}{n}\right)}{n}} \]
          4. Step-by-step derivation
            1. /-lowering-/.f64N/A

              \[\leadsto \mathsf{/.f64}\left(\left(\left(\log \left(1 + x\right) + \frac{1}{2} \cdot \frac{{\log \left(1 + x\right)}^{2}}{n}\right) - \left(\log x + \frac{1}{2} \cdot \frac{{\log x}^{2}}{n}\right)\right), \color{blue}{n}\right) \]
          5. Simplified75.7%

            \[\leadsto \color{blue}{\frac{\frac{0.5}{n} \cdot \left({\left(\mathsf{log1p}\left(x\right)\right)}^{2} - {\log x}^{2}\right) + \left(\mathsf{log1p}\left(x\right) - \log x\right)}{n}} \]
          6. Step-by-step derivation
            1. diff-logN/A

              \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \log \left(\frac{1 + x}{x}\right)\right), n\right) \]
            2. +-commutativeN/A

              \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \log \left(\frac{x + 1}{x}\right)\right), n\right) \]
            3. clear-numN/A

              \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \log \left(\frac{1}{\frac{x}{x + 1}}\right)\right), n\right) \]
            4. log-recN/A

              \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \left(\mathsf{neg}\left(\log \left(\frac{x}{x + 1}\right)\right)\right)\right), n\right) \]
            5. neg-lowering-neg.f64N/A

              \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\log \left(\frac{x}{x + 1}\right)\right)\right), n\right) \]
            6. log-lowering-log.f64N/A

              \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\left(\frac{x}{x + 1}\right)\right)\right)\right), n\right) \]
            7. /-lowering-/.f64N/A

              \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \left(x + 1\right)\right)\right)\right)\right), n\right) \]
            8. +-commutativeN/A

              \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \left(1 + x\right)\right)\right)\right)\right), n\right) \]
            9. +-lowering-+.f6476.0%

              \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right)\right)\right), n\right) \]
          7. Applied egg-rr76.0%

            \[\leadsto \frac{\frac{0.5}{n} \cdot \left({\left(\mathsf{log1p}\left(x\right)\right)}^{2} - {\log x}^{2}\right) + \color{blue}{\left(-\log \left(\frac{x}{1 + x}\right)\right)}}{n} \]
          8. Taylor expanded in n around inf

            \[\leadsto \color{blue}{-1 \cdot \frac{\log \left(\frac{x}{1 + x}\right)}{n}} \]
          9. Step-by-step derivation
            1. mul-1-negN/A

              \[\leadsto \mathsf{neg}\left(\frac{\log \left(\frac{x}{1 + x}\right)}{n}\right) \]
            2. distribute-neg-frac2N/A

              \[\leadsto \frac{\log \left(\frac{x}{1 + x}\right)}{\color{blue}{\mathsf{neg}\left(n\right)}} \]
            3. mul-1-negN/A

              \[\leadsto \frac{\log \left(\frac{x}{1 + x}\right)}{-1 \cdot \color{blue}{n}} \]
            4. /-lowering-/.f64N/A

              \[\leadsto \mathsf{/.f64}\left(\log \left(\frac{x}{1 + x}\right), \color{blue}{\left(-1 \cdot n\right)}\right) \]
            5. log-lowering-log.f64N/A

              \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\left(\frac{x}{1 + x}\right)\right), \left(\color{blue}{-1} \cdot n\right)\right) \]
            6. /-lowering-/.f64N/A

              \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \left(1 + x\right)\right)\right), \left(-1 \cdot n\right)\right) \]
            7. +-lowering-+.f64N/A

              \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right), \left(-1 \cdot n\right)\right) \]
            8. mul-1-negN/A

              \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right), \left(\mathsf{neg}\left(n\right)\right)\right) \]
            9. neg-lowering-neg.f6475.1%

              \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right), \mathsf{neg.f64}\left(n\right)\right) \]
          10. Simplified75.1%

            \[\leadsto \color{blue}{\frac{\log \left(\frac{x}{1 + x}\right)}{-n}} \]
          11. Step-by-step derivation
            1. distribute-frac-neg2N/A

              \[\leadsto \mathsf{neg}\left(\frac{\log \left(\frac{x}{1 + x}\right)}{n}\right) \]
            2. distribute-frac-negN/A

              \[\leadsto \frac{\mathsf{neg}\left(\log \left(\frac{x}{1 + x}\right)\right)}{\color{blue}{n}} \]
            3. /-lowering-/.f64N/A

              \[\leadsto \mathsf{/.f64}\left(\left(\mathsf{neg}\left(\log \left(\frac{x}{1 + x}\right)\right)\right), \color{blue}{n}\right) \]
            4. neg-logN/A

              \[\leadsto \mathsf{/.f64}\left(\log \left(\frac{1}{\frac{x}{1 + x}}\right), n\right) \]
            5. clear-numN/A

              \[\leadsto \mathsf{/.f64}\left(\log \left(\frac{1 + x}{x}\right), n\right) \]
            6. log-lowering-log.f64N/A

              \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\left(\frac{1 + x}{x}\right)\right), n\right) \]
            7. /-lowering-/.f64N/A

              \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(\left(1 + x\right), x\right)\right), n\right) \]
            8. +-commutativeN/A

              \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(\left(x + 1\right), x\right)\right), n\right) \]
            9. +-lowering-+.f6475.1%

              \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(\mathsf{+.f64}\left(x, 1\right), x\right)\right), n\right) \]
          12. Applied egg-rr75.1%

            \[\leadsto \color{blue}{\frac{\log \left(\frac{x + 1}{x}\right)}{n}} \]

          if 5.0000000000000003e234 < (/.f64 #s(literal 1 binary64) n)

          1. Initial program 17.0%

            \[{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]
          2. Add Preprocessing
          3. Step-by-step derivation
            1. flip3--N/A

              \[\leadsto \frac{{\left({\left(x + 1\right)}^{\left(\frac{1}{n}\right)}\right)}^{3} - {\left({x}^{\left(\frac{1}{n}\right)}\right)}^{3}}{\color{blue}{{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)}} \]
            2. /-lowering-/.f64N/A

              \[\leadsto \mathsf{/.f64}\left(\left({\left({\left(x + 1\right)}^{\left(\frac{1}{n}\right)}\right)}^{3} - {\left({x}^{\left(\frac{1}{n}\right)}\right)}^{3}\right), \color{blue}{\left({\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)}\right) \]
            3. --lowering--.f64N/A

              \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\left({\left({\left(x + 1\right)}^{\left(\frac{1}{n}\right)}\right)}^{3}\right), \left({\left({x}^{\left(\frac{1}{n}\right)}\right)}^{3}\right)\right), \left(\color{blue}{{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {\left(x + 1\right)}^{\left(\frac{1}{n}\right)}} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
            4. pow-powN/A

              \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\left({\left(x + 1\right)}^{\left(\frac{1}{n} \cdot 3\right)}\right), \left({\left({x}^{\left(\frac{1}{n}\right)}\right)}^{3}\right)\right), \left(\color{blue}{{\left(x + 1\right)}^{\left(\frac{1}{n}\right)}} \cdot {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
            5. pow-lowering-pow.f64N/A

              \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\left(x + 1\right), \left(\frac{1}{n} \cdot 3\right)\right), \left({\left({x}^{\left(\frac{1}{n}\right)}\right)}^{3}\right)\right), \left(\color{blue}{{\left(x + 1\right)}^{\left(\frac{1}{n}\right)}} \cdot {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
            6. +-lowering-+.f64N/A

              \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \left(\frac{1}{n} \cdot 3\right)\right), \left({\left({x}^{\left(\frac{1}{n}\right)}\right)}^{3}\right)\right), \left({\color{blue}{\left(x + 1\right)}}^{\left(\frac{1}{n}\right)} \cdot {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
            7. associate-*l/N/A

              \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \left(\frac{1 \cdot 3}{n}\right)\right), \left({\left({x}^{\left(\frac{1}{n}\right)}\right)}^{3}\right)\right), \left({\left(x + 1\right)}^{\color{blue}{\left(\frac{1}{n}\right)}} \cdot {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
            8. metadata-evalN/A

              \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \left(\frac{3}{n}\right)\right), \left({\left({x}^{\left(\frac{1}{n}\right)}\right)}^{3}\right)\right), \left({\left(x + 1\right)}^{\left(\frac{\color{blue}{1}}{n}\right)} \cdot {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
            9. /-lowering-/.f64N/A

              \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \mathsf{/.f64}\left(3, n\right)\right), \left({\left({x}^{\left(\frac{1}{n}\right)}\right)}^{3}\right)\right), \left({\left(x + 1\right)}^{\color{blue}{\left(\frac{1}{n}\right)}} \cdot {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
            10. pow-powN/A

              \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \mathsf{/.f64}\left(3, n\right)\right), \left({x}^{\left(\frac{1}{n} \cdot 3\right)}\right)\right), \left({\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot \color{blue}{{\left(x + 1\right)}^{\left(\frac{1}{n}\right)}} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
            11. pow-lowering-pow.f64N/A

              \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \mathsf{/.f64}\left(3, n\right)\right), \mathsf{pow.f64}\left(x, \left(\frac{1}{n} \cdot 3\right)\right)\right), \left({\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot \color{blue}{{\left(x + 1\right)}^{\left(\frac{1}{n}\right)}} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
            12. associate-*l/N/A

              \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \mathsf{/.f64}\left(3, n\right)\right), \mathsf{pow.f64}\left(x, \left(\frac{1 \cdot 3}{n}\right)\right)\right), \left({\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {\left(x + 1\right)}^{\color{blue}{\left(\frac{1}{n}\right)}} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
            13. metadata-evalN/A

              \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \mathsf{/.f64}\left(3, n\right)\right), \mathsf{pow.f64}\left(x, \left(\frac{3}{n}\right)\right)\right), \left({\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {\left(x + 1\right)}^{\left(\frac{\color{blue}{1}}{n}\right)} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
            14. /-lowering-/.f64N/A

              \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \mathsf{/.f64}\left(3, n\right)\right), \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(3, n\right)\right)\right), \left({\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {\left(x + 1\right)}^{\color{blue}{\left(\frac{1}{n}\right)}} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
          4. Applied egg-rr17.0%

            \[\leadsto \color{blue}{\frac{{\left(x + 1\right)}^{\left(\frac{3}{n}\right)} - {x}^{\left(\frac{3}{n}\right)}}{{\left(x + 1\right)}^{\left(\frac{2}{n}\right)} + \left({x}^{\left(\frac{2}{n}\right)} + {\left(x \cdot \left(x + 1\right)\right)}^{\left(\frac{1}{n}\right)}\right)}} \]
          5. Taylor expanded in x around inf

            \[\leadsto \color{blue}{3 \cdot \frac{e^{-3 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}}{n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)}} \]
          6. Step-by-step derivation
            1. associate-*r/N/A

              \[\leadsto \frac{3 \cdot e^{-3 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}}{\color{blue}{n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)}} \]
            2. /-lowering-/.f64N/A

              \[\leadsto \mathsf{/.f64}\left(\left(3 \cdot e^{-3 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right), \color{blue}{\left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)}\right) \]
            3. *-lowering-*.f64N/A

              \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \left(e^{-3 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right), \left(\color{blue}{n} \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
            4. exp-lowering-exp.f64N/A

              \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \mathsf{exp.f64}\left(\left(-3 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}\right)\right)\right), \left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
            5. associate-*r/N/A

              \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \mathsf{exp.f64}\left(\left(\frac{-3 \cdot \log \left(\frac{1}{x}\right)}{n}\right)\right)\right), \left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
            6. /-lowering-/.f64N/A

              \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \mathsf{exp.f64}\left(\mathsf{/.f64}\left(\left(-3 \cdot \log \left(\frac{1}{x}\right)\right), n\right)\right)\right), \left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
            7. *-lowering-*.f64N/A

              \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \mathsf{exp.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(-3, \log \left(\frac{1}{x}\right)\right), n\right)\right)\right), \left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
            8. log-recN/A

              \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \mathsf{exp.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(-3, \left(\mathsf{neg}\left(\log x\right)\right)\right), n\right)\right)\right), \left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
            9. mul-1-negN/A

              \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \mathsf{exp.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(-3, \left(-1 \cdot \log x\right)\right), n\right)\right)\right), \left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
            10. *-commutativeN/A

              \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \mathsf{exp.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(-3, \left(\log x \cdot -1\right)\right), n\right)\right)\right), \left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
            11. *-lowering-*.f64N/A

              \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \mathsf{exp.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(-3, \mathsf{*.f64}\left(\log x, -1\right)\right), n\right)\right)\right), \left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
            12. log-lowering-log.f64N/A

              \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \mathsf{exp.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(-3, \mathsf{*.f64}\left(\mathsf{log.f64}\left(x\right), -1\right)\right), n\right)\right)\right), \left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
          7. Simplified0.0%

            \[\leadsto \color{blue}{\frac{3 \cdot e^{\frac{-3 \cdot \left(\log x \cdot -1\right)}{n}}}{\left(x \cdot n\right) \cdot \left(3 \cdot e^{\frac{-2 \cdot \left(\log x \cdot -1\right)}{n}}\right)}} \]
          8. Taylor expanded in n around inf

            \[\leadsto \color{blue}{\frac{1}{n \cdot x}} \]
          9. Step-by-step derivation
            1. /-lowering-/.f64N/A

              \[\leadsto \mathsf{/.f64}\left(1, \color{blue}{\left(n \cdot x\right)}\right) \]
            2. *-commutativeN/A

              \[\leadsto \mathsf{/.f64}\left(1, \left(x \cdot \color{blue}{n}\right)\right) \]
            3. *-lowering-*.f6486.2%

              \[\leadsto \mathsf{/.f64}\left(1, \mathsf{*.f64}\left(x, \color{blue}{n}\right)\right) \]
          10. Simplified86.2%

            \[\leadsto \color{blue}{\frac{1}{x \cdot n}} \]
        5. Recombined 3 regimes into one program.
        6. Final simplification74.6%

          \[\leadsto \begin{array}{l} \mathbf{if}\;\frac{1}{n} \leq -1 \cdot 10^{+167}:\\ \;\;\;\;1 - {x}^{\left(\frac{1}{n}\right)}\\ \mathbf{elif}\;\frac{1}{n} \leq 2 \cdot 10^{-22}:\\ \;\;\;\;\frac{\log \left(\frac{x + 1}{x}\right)}{n}\\ \mathbf{elif}\;\frac{1}{n} \leq 5 \cdot 10^{+234}:\\ \;\;\;\;1 - {x}^{\left(\frac{1}{n}\right)}\\ \mathbf{else}:\\ \;\;\;\;\frac{1}{n \cdot x}\\ \end{array} \]
        7. Add Preprocessing

        Alternative 9: 59.0% accurate, 1.8× speedup?

        \[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;x \leq 1.26 \cdot 10^{-266}:\\ \;\;\;\;0 - \frac{\log x}{n}\\ \mathbf{elif}\;x \leq 6.5 \cdot 10^{-223}:\\ \;\;\;\;1 - {x}^{\left(\frac{1}{n}\right)}\\ \mathbf{elif}\;x \leq 0.88:\\ \;\;\;\;\frac{x - \log x}{n}\\ \mathbf{elif}\;x \leq 6.5 \cdot 10^{+45}:\\ \;\;\;\;\frac{\frac{\frac{\frac{0.3333333333333333 + \frac{-0.25}{x}}{x} - 0.5}{x} + 1}{x}}{n}\\ \mathbf{else}:\\ \;\;\;\;0\\ \end{array} \end{array} \]
        (FPCore (x n)
         :precision binary64
         (if (<= x 1.26e-266)
           (- 0.0 (/ (log x) n))
           (if (<= x 6.5e-223)
             (- 1.0 (pow x (/ 1.0 n)))
             (if (<= x 0.88)
               (/ (- x (log x)) n)
               (if (<= x 6.5e+45)
                 (/
                  (/ (+ (/ (- (/ (+ 0.3333333333333333 (/ -0.25 x)) x) 0.5) x) 1.0) x)
                  n)
                 0.0)))))
        double code(double x, double n) {
        	double tmp;
        	if (x <= 1.26e-266) {
        		tmp = 0.0 - (log(x) / n);
        	} else if (x <= 6.5e-223) {
        		tmp = 1.0 - pow(x, (1.0 / n));
        	} else if (x <= 0.88) {
        		tmp = (x - log(x)) / n;
        	} else if (x <= 6.5e+45) {
        		tmp = ((((((0.3333333333333333 + (-0.25 / x)) / x) - 0.5) / x) + 1.0) / x) / n;
        	} else {
        		tmp = 0.0;
        	}
        	return tmp;
        }
        
        real(8) function code(x, n)
            real(8), intent (in) :: x
            real(8), intent (in) :: n
            real(8) :: tmp
            if (x <= 1.26d-266) then
                tmp = 0.0d0 - (log(x) / n)
            else if (x <= 6.5d-223) then
                tmp = 1.0d0 - (x ** (1.0d0 / n))
            else if (x <= 0.88d0) then
                tmp = (x - log(x)) / n
            else if (x <= 6.5d+45) then
                tmp = ((((((0.3333333333333333d0 + ((-0.25d0) / x)) / x) - 0.5d0) / x) + 1.0d0) / x) / n
            else
                tmp = 0.0d0
            end if
            code = tmp
        end function
        
        public static double code(double x, double n) {
        	double tmp;
        	if (x <= 1.26e-266) {
        		tmp = 0.0 - (Math.log(x) / n);
        	} else if (x <= 6.5e-223) {
        		tmp = 1.0 - Math.pow(x, (1.0 / n));
        	} else if (x <= 0.88) {
        		tmp = (x - Math.log(x)) / n;
        	} else if (x <= 6.5e+45) {
        		tmp = ((((((0.3333333333333333 + (-0.25 / x)) / x) - 0.5) / x) + 1.0) / x) / n;
        	} else {
        		tmp = 0.0;
        	}
        	return tmp;
        }
        
        def code(x, n):
        	tmp = 0
        	if x <= 1.26e-266:
        		tmp = 0.0 - (math.log(x) / n)
        	elif x <= 6.5e-223:
        		tmp = 1.0 - math.pow(x, (1.0 / n))
        	elif x <= 0.88:
        		tmp = (x - math.log(x)) / n
        	elif x <= 6.5e+45:
        		tmp = ((((((0.3333333333333333 + (-0.25 / x)) / x) - 0.5) / x) + 1.0) / x) / n
        	else:
        		tmp = 0.0
        	return tmp
        
        function code(x, n)
        	tmp = 0.0
        	if (x <= 1.26e-266)
        		tmp = Float64(0.0 - Float64(log(x) / n));
        	elseif (x <= 6.5e-223)
        		tmp = Float64(1.0 - (x ^ Float64(1.0 / n)));
        	elseif (x <= 0.88)
        		tmp = Float64(Float64(x - log(x)) / n);
        	elseif (x <= 6.5e+45)
        		tmp = Float64(Float64(Float64(Float64(Float64(Float64(Float64(0.3333333333333333 + Float64(-0.25 / x)) / x) - 0.5) / x) + 1.0) / x) / n);
        	else
        		tmp = 0.0;
        	end
        	return tmp
        end
        
        function tmp_2 = code(x, n)
        	tmp = 0.0;
        	if (x <= 1.26e-266)
        		tmp = 0.0 - (log(x) / n);
        	elseif (x <= 6.5e-223)
        		tmp = 1.0 - (x ^ (1.0 / n));
        	elseif (x <= 0.88)
        		tmp = (x - log(x)) / n;
        	elseif (x <= 6.5e+45)
        		tmp = ((((((0.3333333333333333 + (-0.25 / x)) / x) - 0.5) / x) + 1.0) / x) / n;
        	else
        		tmp = 0.0;
        	end
        	tmp_2 = tmp;
        end
        
        code[x_, n_] := If[LessEqual[x, 1.26e-266], N[(0.0 - N[(N[Log[x], $MachinePrecision] / n), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 6.5e-223], N[(1.0 - N[Power[x, N[(1.0 / n), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.88], N[(N[(x - N[Log[x], $MachinePrecision]), $MachinePrecision] / n), $MachinePrecision], If[LessEqual[x, 6.5e+45], N[(N[(N[(N[(N[(N[(N[(0.3333333333333333 + N[(-0.25 / x), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision] - 0.5), $MachinePrecision] / x), $MachinePrecision] + 1.0), $MachinePrecision] / x), $MachinePrecision] / n), $MachinePrecision], 0.0]]]]
        
        \begin{array}{l}
        
        \\
        \begin{array}{l}
        \mathbf{if}\;x \leq 1.26 \cdot 10^{-266}:\\
        \;\;\;\;0 - \frac{\log x}{n}\\
        
        \mathbf{elif}\;x \leq 6.5 \cdot 10^{-223}:\\
        \;\;\;\;1 - {x}^{\left(\frac{1}{n}\right)}\\
        
        \mathbf{elif}\;x \leq 0.88:\\
        \;\;\;\;\frac{x - \log x}{n}\\
        
        \mathbf{elif}\;x \leq 6.5 \cdot 10^{+45}:\\
        \;\;\;\;\frac{\frac{\frac{\frac{0.3333333333333333 + \frac{-0.25}{x}}{x} - 0.5}{x} + 1}{x}}{n}\\
        
        \mathbf{else}:\\
        \;\;\;\;0\\
        
        
        \end{array}
        \end{array}
        
        Derivation
        1. Split input into 5 regimes
        2. if x < 1.26000000000000008e-266

          1. Initial program 40.0%

            \[{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]
          2. Add Preprocessing
          3. Taylor expanded in x around 0

            \[\leadsto \mathsf{\_.f64}\left(\color{blue}{1}, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(1, n\right)\right)\right) \]
          4. Step-by-step derivation
            1. Simplified40.0%

              \[\leadsto \color{blue}{1} - {x}^{\left(\frac{1}{n}\right)} \]
            2. Taylor expanded in n around inf

              \[\leadsto \color{blue}{-1 \cdot \frac{\log x}{n}} \]
            3. Step-by-step derivation
              1. mul-1-negN/A

                \[\leadsto \mathsf{neg}\left(\frac{\log x}{n}\right) \]
              2. neg-lowering-neg.f64N/A

                \[\leadsto \mathsf{neg.f64}\left(\left(\frac{\log x}{n}\right)\right) \]
              3. /-lowering-/.f64N/A

                \[\leadsto \mathsf{neg.f64}\left(\mathsf{/.f64}\left(\log x, n\right)\right) \]
              4. log-lowering-log.f6466.1%

                \[\leadsto \mathsf{neg.f64}\left(\mathsf{/.f64}\left(\mathsf{log.f64}\left(x\right), n\right)\right) \]
            4. Simplified66.1%

              \[\leadsto \color{blue}{-\frac{\log x}{n}} \]

            if 1.26000000000000008e-266 < x < 6.4999999999999996e-223

            1. Initial program 68.6%

              \[{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]
            2. Add Preprocessing
            3. Taylor expanded in x around 0

              \[\leadsto \mathsf{\_.f64}\left(\color{blue}{1}, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(1, n\right)\right)\right) \]
            4. Step-by-step derivation
              1. Simplified68.6%

                \[\leadsto \color{blue}{1} - {x}^{\left(\frac{1}{n}\right)} \]

              if 6.4999999999999996e-223 < x < 0.880000000000000004

              1. Initial program 36.2%

                \[{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]
              2. Add Preprocessing
              3. Taylor expanded in x around 0

                \[\leadsto \color{blue}{\left(1 + x \cdot \left(x \cdot \left(\frac{1}{2} \cdot \frac{1}{{n}^{2}} - \frac{1}{2} \cdot \frac{1}{n}\right) + \frac{1}{n}\right)\right) - e^{\frac{\log x}{n}}} \]
              4. Simplified29.4%

                \[\leadsto \color{blue}{\left(1 + \frac{-1}{{x}^{\left(\frac{-1}{n}\right)}}\right) + x \cdot \left(\frac{1}{n} + x \cdot \left(\frac{0.5}{n \cdot n} + \frac{-0.5}{n}\right)\right)} \]
              5. Taylor expanded in n around inf

                \[\leadsto \color{blue}{\frac{-1 \cdot \log x + x \cdot \left(1 + \frac{-1}{2} \cdot x\right)}{n}} \]
              6. Step-by-step derivation
                1. /-lowering-/.f64N/A

                  \[\leadsto \mathsf{/.f64}\left(\left(-1 \cdot \log x + x \cdot \left(1 + \frac{-1}{2} \cdot x\right)\right), \color{blue}{n}\right) \]
                2. mul-1-negN/A

                  \[\leadsto \mathsf{/.f64}\left(\left(\left(\mathsf{neg}\left(\log x\right)\right) + x \cdot \left(1 + \frac{-1}{2} \cdot x\right)\right), n\right) \]
                3. log-recN/A

                  \[\leadsto \mathsf{/.f64}\left(\left(\log \left(\frac{1}{x}\right) + x \cdot \left(1 + \frac{-1}{2} \cdot x\right)\right), n\right) \]
                4. +-commutativeN/A

                  \[\leadsto \mathsf{/.f64}\left(\left(x \cdot \left(1 + \frac{-1}{2} \cdot x\right) + \log \left(\frac{1}{x}\right)\right), n\right) \]
                5. log-recN/A

                  \[\leadsto \mathsf{/.f64}\left(\left(x \cdot \left(1 + \frac{-1}{2} \cdot x\right) + \left(\mathsf{neg}\left(\log x\right)\right)\right), n\right) \]
                6. sub-negN/A

                  \[\leadsto \mathsf{/.f64}\left(\left(x \cdot \left(1 + \frac{-1}{2} \cdot x\right) - \log x\right), n\right) \]
                7. --lowering--.f64N/A

                  \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\left(x \cdot \left(1 + \frac{-1}{2} \cdot x\right)\right), \log x\right), n\right) \]
                8. *-lowering-*.f64N/A

                  \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{*.f64}\left(x, \left(1 + \frac{-1}{2} \cdot x\right)\right), \log x\right), n\right) \]
                9. +-lowering-+.f64N/A

                  \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{*.f64}\left(x, \mathsf{+.f64}\left(1, \left(\frac{-1}{2} \cdot x\right)\right)\right), \log x\right), n\right) \]
                10. *-commutativeN/A

                  \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{*.f64}\left(x, \mathsf{+.f64}\left(1, \left(x \cdot \frac{-1}{2}\right)\right)\right), \log x\right), n\right) \]
                11. *-lowering-*.f64N/A

                  \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{*.f64}\left(x, \mathsf{+.f64}\left(1, \mathsf{*.f64}\left(x, \frac{-1}{2}\right)\right)\right), \log x\right), n\right) \]
                12. log-lowering-log.f6460.0%

                  \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{*.f64}\left(x, \mathsf{+.f64}\left(1, \mathsf{*.f64}\left(x, \frac{-1}{2}\right)\right)\right), \mathsf{log.f64}\left(x\right)\right), n\right) \]
              7. Simplified60.0%

                \[\leadsto \color{blue}{\frac{x \cdot \left(1 + x \cdot -0.5\right) - \log x}{n}} \]
              8. Taylor expanded in x around 0

                \[\leadsto \mathsf{/.f64}\left(\color{blue}{\left(x - \log x\right)}, n\right) \]
              9. Step-by-step derivation
                1. --lowering--.f64N/A

                  \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(x, \log x\right), n\right) \]
                2. log-lowering-log.f6459.7%

                  \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(x, \mathsf{log.f64}\left(x\right)\right), n\right) \]
              10. Simplified59.7%

                \[\leadsto \frac{\color{blue}{x - \log x}}{n} \]

              if 0.880000000000000004 < x < 6.50000000000000034e45

              1. Initial program 21.0%

                \[{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]
              2. Add Preprocessing
              3. Taylor expanded in n around inf

                \[\leadsto \color{blue}{\frac{\left(\log \left(1 + x\right) + \frac{1}{2} \cdot \frac{{\log \left(1 + x\right)}^{2}}{n}\right) - \left(\log x + \frac{1}{2} \cdot \frac{{\log x}^{2}}{n}\right)}{n}} \]
              4. Step-by-step derivation
                1. /-lowering-/.f64N/A

                  \[\leadsto \mathsf{/.f64}\left(\left(\left(\log \left(1 + x\right) + \frac{1}{2} \cdot \frac{{\log \left(1 + x\right)}^{2}}{n}\right) - \left(\log x + \frac{1}{2} \cdot \frac{{\log x}^{2}}{n}\right)\right), \color{blue}{n}\right) \]
              5. Simplified28.1%

                \[\leadsto \color{blue}{\frac{\frac{0.5}{n} \cdot \left({\left(\mathsf{log1p}\left(x\right)\right)}^{2} - {\log x}^{2}\right) + \left(\mathsf{log1p}\left(x\right) - \log x\right)}{n}} \]
              6. Step-by-step derivation
                1. diff-logN/A

                  \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \log \left(\frac{1 + x}{x}\right)\right), n\right) \]
                2. +-commutativeN/A

                  \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \log \left(\frac{x + 1}{x}\right)\right), n\right) \]
                3. clear-numN/A

                  \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \log \left(\frac{1}{\frac{x}{x + 1}}\right)\right), n\right) \]
                4. log-recN/A

                  \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \left(\mathsf{neg}\left(\log \left(\frac{x}{x + 1}\right)\right)\right)\right), n\right) \]
                5. neg-lowering-neg.f64N/A

                  \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\log \left(\frac{x}{x + 1}\right)\right)\right), n\right) \]
                6. log-lowering-log.f64N/A

                  \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\left(\frac{x}{x + 1}\right)\right)\right)\right), n\right) \]
                7. /-lowering-/.f64N/A

                  \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \left(x + 1\right)\right)\right)\right)\right), n\right) \]
                8. +-commutativeN/A

                  \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \left(1 + x\right)\right)\right)\right)\right), n\right) \]
                9. +-lowering-+.f6432.2%

                  \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right)\right)\right), n\right) \]
              7. Applied egg-rr32.2%

                \[\leadsto \frac{\frac{0.5}{n} \cdot \left({\left(\mathsf{log1p}\left(x\right)\right)}^{2} - {\log x}^{2}\right) + \color{blue}{\left(-\log \left(\frac{x}{1 + x}\right)\right)}}{n} \]
              8. Taylor expanded in n around inf

                \[\leadsto \color{blue}{-1 \cdot \frac{\log \left(\frac{x}{1 + x}\right)}{n}} \]
              9. Step-by-step derivation
                1. mul-1-negN/A

                  \[\leadsto \mathsf{neg}\left(\frac{\log \left(\frac{x}{1 + x}\right)}{n}\right) \]
                2. distribute-neg-frac2N/A

                  \[\leadsto \frac{\log \left(\frac{x}{1 + x}\right)}{\color{blue}{\mathsf{neg}\left(n\right)}} \]
                3. mul-1-negN/A

                  \[\leadsto \frac{\log \left(\frac{x}{1 + x}\right)}{-1 \cdot \color{blue}{n}} \]
                4. /-lowering-/.f64N/A

                  \[\leadsto \mathsf{/.f64}\left(\log \left(\frac{x}{1 + x}\right), \color{blue}{\left(-1 \cdot n\right)}\right) \]
                5. log-lowering-log.f64N/A

                  \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\left(\frac{x}{1 + x}\right)\right), \left(\color{blue}{-1} \cdot n\right)\right) \]
                6. /-lowering-/.f64N/A

                  \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \left(1 + x\right)\right)\right), \left(-1 \cdot n\right)\right) \]
                7. +-lowering-+.f64N/A

                  \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right), \left(-1 \cdot n\right)\right) \]
                8. mul-1-negN/A

                  \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right), \left(\mathsf{neg}\left(n\right)\right)\right) \]
                9. neg-lowering-neg.f6432.2%

                  \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right), \mathsf{neg.f64}\left(n\right)\right) \]
              10. Simplified32.2%

                \[\leadsto \color{blue}{\frac{\log \left(\frac{x}{1 + x}\right)}{-n}} \]
              11. Taylor expanded in x around -inf

                \[\leadsto \mathsf{/.f64}\left(\color{blue}{\left(-1 \cdot \frac{1 + -1 \cdot \frac{\frac{1}{2} + -1 \cdot \frac{\frac{1}{3} - \frac{1}{4} \cdot \frac{1}{x}}{x}}{x}}{x}\right)}, \mathsf{neg.f64}\left(n\right)\right) \]
              12. Step-by-step derivation
                1. mul-1-negN/A

                  \[\leadsto \mathsf{/.f64}\left(\left(\mathsf{neg}\left(\frac{1 + -1 \cdot \frac{\frac{1}{2} + -1 \cdot \frac{\frac{1}{3} - \frac{1}{4} \cdot \frac{1}{x}}{x}}{x}}{x}\right)\right), \mathsf{neg.f64}\left(\color{blue}{n}\right)\right) \]
                2. distribute-neg-frac2N/A

                  \[\leadsto \mathsf{/.f64}\left(\left(\frac{1 + -1 \cdot \frac{\frac{1}{2} + -1 \cdot \frac{\frac{1}{3} - \frac{1}{4} \cdot \frac{1}{x}}{x}}{x}}{\mathsf{neg}\left(x\right)}\right), \mathsf{neg.f64}\left(\color{blue}{n}\right)\right) \]
                3. mul-1-negN/A

                  \[\leadsto \mathsf{/.f64}\left(\left(\frac{1 + -1 \cdot \frac{\frac{1}{2} + -1 \cdot \frac{\frac{1}{3} - \frac{1}{4} \cdot \frac{1}{x}}{x}}{x}}{-1 \cdot x}\right), \mathsf{neg.f64}\left(n\right)\right) \]
                4. /-lowering-/.f64N/A

                  \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(\left(1 + -1 \cdot \frac{\frac{1}{2} + -1 \cdot \frac{\frac{1}{3} - \frac{1}{4} \cdot \frac{1}{x}}{x}}{x}\right), \left(-1 \cdot x\right)\right), \mathsf{neg.f64}\left(\color{blue}{n}\right)\right) \]
              13. Simplified85.9%

                \[\leadsto \frac{\color{blue}{\frac{1 - \frac{0.5 - \frac{0.3333333333333333 + \frac{-0.25}{x}}{x}}{x}}{0 - x}}}{-n} \]

              if 6.50000000000000034e45 < x

              1. Initial program 78.3%

                \[{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]
              2. Add Preprocessing
              3. Taylor expanded in x around 0

                \[\leadsto \mathsf{\_.f64}\left(\color{blue}{1}, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(1, n\right)\right)\right) \]
              4. Step-by-step derivation
                1. Simplified42.3%

                  \[\leadsto \color{blue}{1} - {x}^{\left(\frac{1}{n}\right)} \]
                2. Taylor expanded in n around inf

                  \[\leadsto \mathsf{\_.f64}\left(1, \color{blue}{1}\right) \]
                3. Step-by-step derivation
                  1. Simplified78.3%

                    \[\leadsto 1 - \color{blue}{1} \]
                  2. Step-by-step derivation
                    1. metadata-eval78.3%

                      \[\leadsto 0 \]
                  3. Applied egg-rr78.3%

                    \[\leadsto \color{blue}{0} \]
                4. Recombined 5 regimes into one program.
                5. Final simplification69.7%

                  \[\leadsto \begin{array}{l} \mathbf{if}\;x \leq 1.26 \cdot 10^{-266}:\\ \;\;\;\;0 - \frac{\log x}{n}\\ \mathbf{elif}\;x \leq 6.5 \cdot 10^{-223}:\\ \;\;\;\;1 - {x}^{\left(\frac{1}{n}\right)}\\ \mathbf{elif}\;x \leq 0.88:\\ \;\;\;\;\frac{x - \log x}{n}\\ \mathbf{elif}\;x \leq 6.5 \cdot 10^{+45}:\\ \;\;\;\;\frac{\frac{\frac{\frac{0.3333333333333333 + \frac{-0.25}{x}}{x} - 0.5}{x} + 1}{x}}{n}\\ \mathbf{else}:\\ \;\;\;\;0\\ \end{array} \]
                6. Add Preprocessing

                Alternative 10: 58.7% accurate, 1.9× speedup?

                \[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;x \leq 0.88:\\ \;\;\;\;\frac{x - \log x}{n}\\ \mathbf{elif}\;x \leq 1.95 \cdot 10^{+42}:\\ \;\;\;\;\frac{\frac{\frac{\frac{0.3333333333333333 + \frac{-0.25}{x}}{x} - 0.5}{x} + 1}{x}}{n}\\ \mathbf{else}:\\ \;\;\;\;0\\ \end{array} \end{array} \]
                (FPCore (x n)
                 :precision binary64
                 (if (<= x 0.88)
                   (/ (- x (log x)) n)
                   (if (<= x 1.95e+42)
                     (/ (/ (+ (/ (- (/ (+ 0.3333333333333333 (/ -0.25 x)) x) 0.5) x) 1.0) x) n)
                     0.0)))
                double code(double x, double n) {
                	double tmp;
                	if (x <= 0.88) {
                		tmp = (x - log(x)) / n;
                	} else if (x <= 1.95e+42) {
                		tmp = ((((((0.3333333333333333 + (-0.25 / x)) / x) - 0.5) / x) + 1.0) / x) / n;
                	} else {
                		tmp = 0.0;
                	}
                	return tmp;
                }
                
                real(8) function code(x, n)
                    real(8), intent (in) :: x
                    real(8), intent (in) :: n
                    real(8) :: tmp
                    if (x <= 0.88d0) then
                        tmp = (x - log(x)) / n
                    else if (x <= 1.95d+42) then
                        tmp = ((((((0.3333333333333333d0 + ((-0.25d0) / x)) / x) - 0.5d0) / x) + 1.0d0) / x) / n
                    else
                        tmp = 0.0d0
                    end if
                    code = tmp
                end function
                
                public static double code(double x, double n) {
                	double tmp;
                	if (x <= 0.88) {
                		tmp = (x - Math.log(x)) / n;
                	} else if (x <= 1.95e+42) {
                		tmp = ((((((0.3333333333333333 + (-0.25 / x)) / x) - 0.5) / x) + 1.0) / x) / n;
                	} else {
                		tmp = 0.0;
                	}
                	return tmp;
                }
                
                def code(x, n):
                	tmp = 0
                	if x <= 0.88:
                		tmp = (x - math.log(x)) / n
                	elif x <= 1.95e+42:
                		tmp = ((((((0.3333333333333333 + (-0.25 / x)) / x) - 0.5) / x) + 1.0) / x) / n
                	else:
                		tmp = 0.0
                	return tmp
                
                function code(x, n)
                	tmp = 0.0
                	if (x <= 0.88)
                		tmp = Float64(Float64(x - log(x)) / n);
                	elseif (x <= 1.95e+42)
                		tmp = Float64(Float64(Float64(Float64(Float64(Float64(Float64(0.3333333333333333 + Float64(-0.25 / x)) / x) - 0.5) / x) + 1.0) / x) / n);
                	else
                		tmp = 0.0;
                	end
                	return tmp
                end
                
                function tmp_2 = code(x, n)
                	tmp = 0.0;
                	if (x <= 0.88)
                		tmp = (x - log(x)) / n;
                	elseif (x <= 1.95e+42)
                		tmp = ((((((0.3333333333333333 + (-0.25 / x)) / x) - 0.5) / x) + 1.0) / x) / n;
                	else
                		tmp = 0.0;
                	end
                	tmp_2 = tmp;
                end
                
                code[x_, n_] := If[LessEqual[x, 0.88], N[(N[(x - N[Log[x], $MachinePrecision]), $MachinePrecision] / n), $MachinePrecision], If[LessEqual[x, 1.95e+42], N[(N[(N[(N[(N[(N[(N[(0.3333333333333333 + N[(-0.25 / x), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision] - 0.5), $MachinePrecision] / x), $MachinePrecision] + 1.0), $MachinePrecision] / x), $MachinePrecision] / n), $MachinePrecision], 0.0]]
                
                \begin{array}{l}
                
                \\
                \begin{array}{l}
                \mathbf{if}\;x \leq 0.88:\\
                \;\;\;\;\frac{x - \log x}{n}\\
                
                \mathbf{elif}\;x \leq 1.95 \cdot 10^{+42}:\\
                \;\;\;\;\frac{\frac{\frac{\frac{0.3333333333333333 + \frac{-0.25}{x}}{x} - 0.5}{x} + 1}{x}}{n}\\
                
                \mathbf{else}:\\
                \;\;\;\;0\\
                
                
                \end{array}
                \end{array}
                
                Derivation
                1. Split input into 3 regimes
                2. if x < 0.880000000000000004

                  1. Initial program 42.1%

                    \[{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]
                  2. Add Preprocessing
                  3. Taylor expanded in x around 0

                    \[\leadsto \color{blue}{\left(1 + x \cdot \left(x \cdot \left(\frac{1}{2} \cdot \frac{1}{{n}^{2}} - \frac{1}{2} \cdot \frac{1}{n}\right) + \frac{1}{n}\right)\right) - e^{\frac{\log x}{n}}} \]
                  4. Simplified29.7%

                    \[\leadsto \color{blue}{\left(1 + \frac{-1}{{x}^{\left(\frac{-1}{n}\right)}}\right) + x \cdot \left(\frac{1}{n} + x \cdot \left(\frac{0.5}{n \cdot n} + \frac{-0.5}{n}\right)\right)} \]
                  5. Taylor expanded in n around inf

                    \[\leadsto \color{blue}{\frac{-1 \cdot \log x + x \cdot \left(1 + \frac{-1}{2} \cdot x\right)}{n}} \]
                  6. Step-by-step derivation
                    1. /-lowering-/.f64N/A

                      \[\leadsto \mathsf{/.f64}\left(\left(-1 \cdot \log x + x \cdot \left(1 + \frac{-1}{2} \cdot x\right)\right), \color{blue}{n}\right) \]
                    2. mul-1-negN/A

                      \[\leadsto \mathsf{/.f64}\left(\left(\left(\mathsf{neg}\left(\log x\right)\right) + x \cdot \left(1 + \frac{-1}{2} \cdot x\right)\right), n\right) \]
                    3. log-recN/A

                      \[\leadsto \mathsf{/.f64}\left(\left(\log \left(\frac{1}{x}\right) + x \cdot \left(1 + \frac{-1}{2} \cdot x\right)\right), n\right) \]
                    4. +-commutativeN/A

                      \[\leadsto \mathsf{/.f64}\left(\left(x \cdot \left(1 + \frac{-1}{2} \cdot x\right) + \log \left(\frac{1}{x}\right)\right), n\right) \]
                    5. log-recN/A

                      \[\leadsto \mathsf{/.f64}\left(\left(x \cdot \left(1 + \frac{-1}{2} \cdot x\right) + \left(\mathsf{neg}\left(\log x\right)\right)\right), n\right) \]
                    6. sub-negN/A

                      \[\leadsto \mathsf{/.f64}\left(\left(x \cdot \left(1 + \frac{-1}{2} \cdot x\right) - \log x\right), n\right) \]
                    7. --lowering--.f64N/A

                      \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\left(x \cdot \left(1 + \frac{-1}{2} \cdot x\right)\right), \log x\right), n\right) \]
                    8. *-lowering-*.f64N/A

                      \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{*.f64}\left(x, \left(1 + \frac{-1}{2} \cdot x\right)\right), \log x\right), n\right) \]
                    9. +-lowering-+.f64N/A

                      \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{*.f64}\left(x, \mathsf{+.f64}\left(1, \left(\frac{-1}{2} \cdot x\right)\right)\right), \log x\right), n\right) \]
                    10. *-commutativeN/A

                      \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{*.f64}\left(x, \mathsf{+.f64}\left(1, \left(x \cdot \frac{-1}{2}\right)\right)\right), \log x\right), n\right) \]
                    11. *-lowering-*.f64N/A

                      \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{*.f64}\left(x, \mathsf{+.f64}\left(1, \mathsf{*.f64}\left(x, \frac{-1}{2}\right)\right)\right), \log x\right), n\right) \]
                    12. log-lowering-log.f6455.8%

                      \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{*.f64}\left(x, \mathsf{+.f64}\left(1, \mathsf{*.f64}\left(x, \frac{-1}{2}\right)\right)\right), \mathsf{log.f64}\left(x\right)\right), n\right) \]
                  7. Simplified55.8%

                    \[\leadsto \color{blue}{\frac{x \cdot \left(1 + x \cdot -0.5\right) - \log x}{n}} \]
                  8. Taylor expanded in x around 0

                    \[\leadsto \mathsf{/.f64}\left(\color{blue}{\left(x - \log x\right)}, n\right) \]
                  9. Step-by-step derivation
                    1. --lowering--.f64N/A

                      \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(x, \log x\right), n\right) \]
                    2. log-lowering-log.f6455.6%

                      \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(x, \mathsf{log.f64}\left(x\right)\right), n\right) \]
                  10. Simplified55.6%

                    \[\leadsto \frac{\color{blue}{x - \log x}}{n} \]

                  if 0.880000000000000004 < x < 1.94999999999999985e42

                  1. Initial program 21.0%

                    \[{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]
                  2. Add Preprocessing
                  3. Taylor expanded in n around inf

                    \[\leadsto \color{blue}{\frac{\left(\log \left(1 + x\right) + \frac{1}{2} \cdot \frac{{\log \left(1 + x\right)}^{2}}{n}\right) - \left(\log x + \frac{1}{2} \cdot \frac{{\log x}^{2}}{n}\right)}{n}} \]
                  4. Step-by-step derivation
                    1. /-lowering-/.f64N/A

                      \[\leadsto \mathsf{/.f64}\left(\left(\left(\log \left(1 + x\right) + \frac{1}{2} \cdot \frac{{\log \left(1 + x\right)}^{2}}{n}\right) - \left(\log x + \frac{1}{2} \cdot \frac{{\log x}^{2}}{n}\right)\right), \color{blue}{n}\right) \]
                  5. Simplified28.1%

                    \[\leadsto \color{blue}{\frac{\frac{0.5}{n} \cdot \left({\left(\mathsf{log1p}\left(x\right)\right)}^{2} - {\log x}^{2}\right) + \left(\mathsf{log1p}\left(x\right) - \log x\right)}{n}} \]
                  6. Step-by-step derivation
                    1. diff-logN/A

                      \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \log \left(\frac{1 + x}{x}\right)\right), n\right) \]
                    2. +-commutativeN/A

                      \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \log \left(\frac{x + 1}{x}\right)\right), n\right) \]
                    3. clear-numN/A

                      \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \log \left(\frac{1}{\frac{x}{x + 1}}\right)\right), n\right) \]
                    4. log-recN/A

                      \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \left(\mathsf{neg}\left(\log \left(\frac{x}{x + 1}\right)\right)\right)\right), n\right) \]
                    5. neg-lowering-neg.f64N/A

                      \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\log \left(\frac{x}{x + 1}\right)\right)\right), n\right) \]
                    6. log-lowering-log.f64N/A

                      \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\left(\frac{x}{x + 1}\right)\right)\right)\right), n\right) \]
                    7. /-lowering-/.f64N/A

                      \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \left(x + 1\right)\right)\right)\right)\right), n\right) \]
                    8. +-commutativeN/A

                      \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \left(1 + x\right)\right)\right)\right)\right), n\right) \]
                    9. +-lowering-+.f6432.2%

                      \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right)\right)\right), n\right) \]
                  7. Applied egg-rr32.2%

                    \[\leadsto \frac{\frac{0.5}{n} \cdot \left({\left(\mathsf{log1p}\left(x\right)\right)}^{2} - {\log x}^{2}\right) + \color{blue}{\left(-\log \left(\frac{x}{1 + x}\right)\right)}}{n} \]
                  8. Taylor expanded in n around inf

                    \[\leadsto \color{blue}{-1 \cdot \frac{\log \left(\frac{x}{1 + x}\right)}{n}} \]
                  9. Step-by-step derivation
                    1. mul-1-negN/A

                      \[\leadsto \mathsf{neg}\left(\frac{\log \left(\frac{x}{1 + x}\right)}{n}\right) \]
                    2. distribute-neg-frac2N/A

                      \[\leadsto \frac{\log \left(\frac{x}{1 + x}\right)}{\color{blue}{\mathsf{neg}\left(n\right)}} \]
                    3. mul-1-negN/A

                      \[\leadsto \frac{\log \left(\frac{x}{1 + x}\right)}{-1 \cdot \color{blue}{n}} \]
                    4. /-lowering-/.f64N/A

                      \[\leadsto \mathsf{/.f64}\left(\log \left(\frac{x}{1 + x}\right), \color{blue}{\left(-1 \cdot n\right)}\right) \]
                    5. log-lowering-log.f64N/A

                      \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\left(\frac{x}{1 + x}\right)\right), \left(\color{blue}{-1} \cdot n\right)\right) \]
                    6. /-lowering-/.f64N/A

                      \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \left(1 + x\right)\right)\right), \left(-1 \cdot n\right)\right) \]
                    7. +-lowering-+.f64N/A

                      \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right), \left(-1 \cdot n\right)\right) \]
                    8. mul-1-negN/A

                      \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right), \left(\mathsf{neg}\left(n\right)\right)\right) \]
                    9. neg-lowering-neg.f6432.2%

                      \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right), \mathsf{neg.f64}\left(n\right)\right) \]
                  10. Simplified32.2%

                    \[\leadsto \color{blue}{\frac{\log \left(\frac{x}{1 + x}\right)}{-n}} \]
                  11. Taylor expanded in x around -inf

                    \[\leadsto \mathsf{/.f64}\left(\color{blue}{\left(-1 \cdot \frac{1 + -1 \cdot \frac{\frac{1}{2} + -1 \cdot \frac{\frac{1}{3} - \frac{1}{4} \cdot \frac{1}{x}}{x}}{x}}{x}\right)}, \mathsf{neg.f64}\left(n\right)\right) \]
                  12. Step-by-step derivation
                    1. mul-1-negN/A

                      \[\leadsto \mathsf{/.f64}\left(\left(\mathsf{neg}\left(\frac{1 + -1 \cdot \frac{\frac{1}{2} + -1 \cdot \frac{\frac{1}{3} - \frac{1}{4} \cdot \frac{1}{x}}{x}}{x}}{x}\right)\right), \mathsf{neg.f64}\left(\color{blue}{n}\right)\right) \]
                    2. distribute-neg-frac2N/A

                      \[\leadsto \mathsf{/.f64}\left(\left(\frac{1 + -1 \cdot \frac{\frac{1}{2} + -1 \cdot \frac{\frac{1}{3} - \frac{1}{4} \cdot \frac{1}{x}}{x}}{x}}{\mathsf{neg}\left(x\right)}\right), \mathsf{neg.f64}\left(\color{blue}{n}\right)\right) \]
                    3. mul-1-negN/A

                      \[\leadsto \mathsf{/.f64}\left(\left(\frac{1 + -1 \cdot \frac{\frac{1}{2} + -1 \cdot \frac{\frac{1}{3} - \frac{1}{4} \cdot \frac{1}{x}}{x}}{x}}{-1 \cdot x}\right), \mathsf{neg.f64}\left(n\right)\right) \]
                    4. /-lowering-/.f64N/A

                      \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(\left(1 + -1 \cdot \frac{\frac{1}{2} + -1 \cdot \frac{\frac{1}{3} - \frac{1}{4} \cdot \frac{1}{x}}{x}}{x}\right), \left(-1 \cdot x\right)\right), \mathsf{neg.f64}\left(\color{blue}{n}\right)\right) \]
                  13. Simplified85.9%

                    \[\leadsto \frac{\color{blue}{\frac{1 - \frac{0.5 - \frac{0.3333333333333333 + \frac{-0.25}{x}}{x}}{x}}{0 - x}}}{-n} \]

                  if 1.94999999999999985e42 < x

                  1. Initial program 78.3%

                    \[{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]
                  2. Add Preprocessing
                  3. Taylor expanded in x around 0

                    \[\leadsto \mathsf{\_.f64}\left(\color{blue}{1}, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(1, n\right)\right)\right) \]
                  4. Step-by-step derivation
                    1. Simplified42.3%

                      \[\leadsto \color{blue}{1} - {x}^{\left(\frac{1}{n}\right)} \]
                    2. Taylor expanded in n around inf

                      \[\leadsto \mathsf{\_.f64}\left(1, \color{blue}{1}\right) \]
                    3. Step-by-step derivation
                      1. Simplified78.3%

                        \[\leadsto 1 - \color{blue}{1} \]
                      2. Step-by-step derivation
                        1. metadata-eval78.3%

                          \[\leadsto 0 \]
                      3. Applied egg-rr78.3%

                        \[\leadsto \color{blue}{0} \]
                    4. Recombined 3 regimes into one program.
                    5. Final simplification66.1%

                      \[\leadsto \begin{array}{l} \mathbf{if}\;x \leq 0.88:\\ \;\;\;\;\frac{x - \log x}{n}\\ \mathbf{elif}\;x \leq 1.95 \cdot 10^{+42}:\\ \;\;\;\;\frac{\frac{\frac{\frac{0.3333333333333333 + \frac{-0.25}{x}}{x} - 0.5}{x} + 1}{x}}{n}\\ \mathbf{else}:\\ \;\;\;\;0\\ \end{array} \]
                    6. Add Preprocessing

                    Alternative 11: 58.6% accurate, 1.9× speedup?

                    \[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;x \leq 0.7:\\ \;\;\;\;0 - \frac{\log x}{n}\\ \mathbf{elif}\;x \leq 1.8 \cdot 10^{+44}:\\ \;\;\;\;\frac{\frac{\frac{\frac{0.3333333333333333 + \frac{-0.25}{x}}{x} - 0.5}{x} + 1}{x}}{n}\\ \mathbf{else}:\\ \;\;\;\;0\\ \end{array} \end{array} \]
                    (FPCore (x n)
                     :precision binary64
                     (if (<= x 0.7)
                       (- 0.0 (/ (log x) n))
                       (if (<= x 1.8e+44)
                         (/ (/ (+ (/ (- (/ (+ 0.3333333333333333 (/ -0.25 x)) x) 0.5) x) 1.0) x) n)
                         0.0)))
                    double code(double x, double n) {
                    	double tmp;
                    	if (x <= 0.7) {
                    		tmp = 0.0 - (log(x) / n);
                    	} else if (x <= 1.8e+44) {
                    		tmp = ((((((0.3333333333333333 + (-0.25 / x)) / x) - 0.5) / x) + 1.0) / x) / n;
                    	} else {
                    		tmp = 0.0;
                    	}
                    	return tmp;
                    }
                    
                    real(8) function code(x, n)
                        real(8), intent (in) :: x
                        real(8), intent (in) :: n
                        real(8) :: tmp
                        if (x <= 0.7d0) then
                            tmp = 0.0d0 - (log(x) / n)
                        else if (x <= 1.8d+44) then
                            tmp = ((((((0.3333333333333333d0 + ((-0.25d0) / x)) / x) - 0.5d0) / x) + 1.0d0) / x) / n
                        else
                            tmp = 0.0d0
                        end if
                        code = tmp
                    end function
                    
                    public static double code(double x, double n) {
                    	double tmp;
                    	if (x <= 0.7) {
                    		tmp = 0.0 - (Math.log(x) / n);
                    	} else if (x <= 1.8e+44) {
                    		tmp = ((((((0.3333333333333333 + (-0.25 / x)) / x) - 0.5) / x) + 1.0) / x) / n;
                    	} else {
                    		tmp = 0.0;
                    	}
                    	return tmp;
                    }
                    
                    def code(x, n):
                    	tmp = 0
                    	if x <= 0.7:
                    		tmp = 0.0 - (math.log(x) / n)
                    	elif x <= 1.8e+44:
                    		tmp = ((((((0.3333333333333333 + (-0.25 / x)) / x) - 0.5) / x) + 1.0) / x) / n
                    	else:
                    		tmp = 0.0
                    	return tmp
                    
                    function code(x, n)
                    	tmp = 0.0
                    	if (x <= 0.7)
                    		tmp = Float64(0.0 - Float64(log(x) / n));
                    	elseif (x <= 1.8e+44)
                    		tmp = Float64(Float64(Float64(Float64(Float64(Float64(Float64(0.3333333333333333 + Float64(-0.25 / x)) / x) - 0.5) / x) + 1.0) / x) / n);
                    	else
                    		tmp = 0.0;
                    	end
                    	return tmp
                    end
                    
                    function tmp_2 = code(x, n)
                    	tmp = 0.0;
                    	if (x <= 0.7)
                    		tmp = 0.0 - (log(x) / n);
                    	elseif (x <= 1.8e+44)
                    		tmp = ((((((0.3333333333333333 + (-0.25 / x)) / x) - 0.5) / x) + 1.0) / x) / n;
                    	else
                    		tmp = 0.0;
                    	end
                    	tmp_2 = tmp;
                    end
                    
                    code[x_, n_] := If[LessEqual[x, 0.7], N[(0.0 - N[(N[Log[x], $MachinePrecision] / n), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 1.8e+44], N[(N[(N[(N[(N[(N[(N[(0.3333333333333333 + N[(-0.25 / x), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision] - 0.5), $MachinePrecision] / x), $MachinePrecision] + 1.0), $MachinePrecision] / x), $MachinePrecision] / n), $MachinePrecision], 0.0]]
                    
                    \begin{array}{l}
                    
                    \\
                    \begin{array}{l}
                    \mathbf{if}\;x \leq 0.7:\\
                    \;\;\;\;0 - \frac{\log x}{n}\\
                    
                    \mathbf{elif}\;x \leq 1.8 \cdot 10^{+44}:\\
                    \;\;\;\;\frac{\frac{\frac{\frac{0.3333333333333333 + \frac{-0.25}{x}}{x} - 0.5}{x} + 1}{x}}{n}\\
                    
                    \mathbf{else}:\\
                    \;\;\;\;0\\
                    
                    
                    \end{array}
                    \end{array}
                    
                    Derivation
                    1. Split input into 3 regimes
                    2. if x < 0.69999999999999996

                      1. Initial program 42.1%

                        \[{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]
                      2. Add Preprocessing
                      3. Taylor expanded in x around 0

                        \[\leadsto \mathsf{\_.f64}\left(\color{blue}{1}, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(1, n\right)\right)\right) \]
                      4. Step-by-step derivation
                        1. Simplified41.0%

                          \[\leadsto \color{blue}{1} - {x}^{\left(\frac{1}{n}\right)} \]
                        2. Taylor expanded in n around inf

                          \[\leadsto \color{blue}{-1 \cdot \frac{\log x}{n}} \]
                        3. Step-by-step derivation
                          1. mul-1-negN/A

                            \[\leadsto \mathsf{neg}\left(\frac{\log x}{n}\right) \]
                          2. neg-lowering-neg.f64N/A

                            \[\leadsto \mathsf{neg.f64}\left(\left(\frac{\log x}{n}\right)\right) \]
                          3. /-lowering-/.f64N/A

                            \[\leadsto \mathsf{neg.f64}\left(\mathsf{/.f64}\left(\log x, n\right)\right) \]
                          4. log-lowering-log.f6455.0%

                            \[\leadsto \mathsf{neg.f64}\left(\mathsf{/.f64}\left(\mathsf{log.f64}\left(x\right), n\right)\right) \]
                        4. Simplified55.0%

                          \[\leadsto \color{blue}{-\frac{\log x}{n}} \]

                        if 0.69999999999999996 < x < 1.8e44

                        1. Initial program 21.0%

                          \[{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]
                        2. Add Preprocessing
                        3. Taylor expanded in n around inf

                          \[\leadsto \color{blue}{\frac{\left(\log \left(1 + x\right) + \frac{1}{2} \cdot \frac{{\log \left(1 + x\right)}^{2}}{n}\right) - \left(\log x + \frac{1}{2} \cdot \frac{{\log x}^{2}}{n}\right)}{n}} \]
                        4. Step-by-step derivation
                          1. /-lowering-/.f64N/A

                            \[\leadsto \mathsf{/.f64}\left(\left(\left(\log \left(1 + x\right) + \frac{1}{2} \cdot \frac{{\log \left(1 + x\right)}^{2}}{n}\right) - \left(\log x + \frac{1}{2} \cdot \frac{{\log x}^{2}}{n}\right)\right), \color{blue}{n}\right) \]
                        5. Simplified28.1%

                          \[\leadsto \color{blue}{\frac{\frac{0.5}{n} \cdot \left({\left(\mathsf{log1p}\left(x\right)\right)}^{2} - {\log x}^{2}\right) + \left(\mathsf{log1p}\left(x\right) - \log x\right)}{n}} \]
                        6. Step-by-step derivation
                          1. diff-logN/A

                            \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \log \left(\frac{1 + x}{x}\right)\right), n\right) \]
                          2. +-commutativeN/A

                            \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \log \left(\frac{x + 1}{x}\right)\right), n\right) \]
                          3. clear-numN/A

                            \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \log \left(\frac{1}{\frac{x}{x + 1}}\right)\right), n\right) \]
                          4. log-recN/A

                            \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \left(\mathsf{neg}\left(\log \left(\frac{x}{x + 1}\right)\right)\right)\right), n\right) \]
                          5. neg-lowering-neg.f64N/A

                            \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\log \left(\frac{x}{x + 1}\right)\right)\right), n\right) \]
                          6. log-lowering-log.f64N/A

                            \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\left(\frac{x}{x + 1}\right)\right)\right)\right), n\right) \]
                          7. /-lowering-/.f64N/A

                            \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \left(x + 1\right)\right)\right)\right)\right), n\right) \]
                          8. +-commutativeN/A

                            \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \left(1 + x\right)\right)\right)\right)\right), n\right) \]
                          9. +-lowering-+.f6432.2%

                            \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right)\right)\right), n\right) \]
                        7. Applied egg-rr32.2%

                          \[\leadsto \frac{\frac{0.5}{n} \cdot \left({\left(\mathsf{log1p}\left(x\right)\right)}^{2} - {\log x}^{2}\right) + \color{blue}{\left(-\log \left(\frac{x}{1 + x}\right)\right)}}{n} \]
                        8. Taylor expanded in n around inf

                          \[\leadsto \color{blue}{-1 \cdot \frac{\log \left(\frac{x}{1 + x}\right)}{n}} \]
                        9. Step-by-step derivation
                          1. mul-1-negN/A

                            \[\leadsto \mathsf{neg}\left(\frac{\log \left(\frac{x}{1 + x}\right)}{n}\right) \]
                          2. distribute-neg-frac2N/A

                            \[\leadsto \frac{\log \left(\frac{x}{1 + x}\right)}{\color{blue}{\mathsf{neg}\left(n\right)}} \]
                          3. mul-1-negN/A

                            \[\leadsto \frac{\log \left(\frac{x}{1 + x}\right)}{-1 \cdot \color{blue}{n}} \]
                          4. /-lowering-/.f64N/A

                            \[\leadsto \mathsf{/.f64}\left(\log \left(\frac{x}{1 + x}\right), \color{blue}{\left(-1 \cdot n\right)}\right) \]
                          5. log-lowering-log.f64N/A

                            \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\left(\frac{x}{1 + x}\right)\right), \left(\color{blue}{-1} \cdot n\right)\right) \]
                          6. /-lowering-/.f64N/A

                            \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \left(1 + x\right)\right)\right), \left(-1 \cdot n\right)\right) \]
                          7. +-lowering-+.f64N/A

                            \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right), \left(-1 \cdot n\right)\right) \]
                          8. mul-1-negN/A

                            \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right), \left(\mathsf{neg}\left(n\right)\right)\right) \]
                          9. neg-lowering-neg.f6432.2%

                            \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right), \mathsf{neg.f64}\left(n\right)\right) \]
                        10. Simplified32.2%

                          \[\leadsto \color{blue}{\frac{\log \left(\frac{x}{1 + x}\right)}{-n}} \]
                        11. Taylor expanded in x around -inf

                          \[\leadsto \mathsf{/.f64}\left(\color{blue}{\left(-1 \cdot \frac{1 + -1 \cdot \frac{\frac{1}{2} + -1 \cdot \frac{\frac{1}{3} - \frac{1}{4} \cdot \frac{1}{x}}{x}}{x}}{x}\right)}, \mathsf{neg.f64}\left(n\right)\right) \]
                        12. Step-by-step derivation
                          1. mul-1-negN/A

                            \[\leadsto \mathsf{/.f64}\left(\left(\mathsf{neg}\left(\frac{1 + -1 \cdot \frac{\frac{1}{2} + -1 \cdot \frac{\frac{1}{3} - \frac{1}{4} \cdot \frac{1}{x}}{x}}{x}}{x}\right)\right), \mathsf{neg.f64}\left(\color{blue}{n}\right)\right) \]
                          2. distribute-neg-frac2N/A

                            \[\leadsto \mathsf{/.f64}\left(\left(\frac{1 + -1 \cdot \frac{\frac{1}{2} + -1 \cdot \frac{\frac{1}{3} - \frac{1}{4} \cdot \frac{1}{x}}{x}}{x}}{\mathsf{neg}\left(x\right)}\right), \mathsf{neg.f64}\left(\color{blue}{n}\right)\right) \]
                          3. mul-1-negN/A

                            \[\leadsto \mathsf{/.f64}\left(\left(\frac{1 + -1 \cdot \frac{\frac{1}{2} + -1 \cdot \frac{\frac{1}{3} - \frac{1}{4} \cdot \frac{1}{x}}{x}}{x}}{-1 \cdot x}\right), \mathsf{neg.f64}\left(n\right)\right) \]
                          4. /-lowering-/.f64N/A

                            \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(\left(1 + -1 \cdot \frac{\frac{1}{2} + -1 \cdot \frac{\frac{1}{3} - \frac{1}{4} \cdot \frac{1}{x}}{x}}{x}\right), \left(-1 \cdot x\right)\right), \mathsf{neg.f64}\left(\color{blue}{n}\right)\right) \]
                        13. Simplified85.9%

                          \[\leadsto \frac{\color{blue}{\frac{1 - \frac{0.5 - \frac{0.3333333333333333 + \frac{-0.25}{x}}{x}}{x}}{0 - x}}}{-n} \]

                        if 1.8e44 < x

                        1. Initial program 78.3%

                          \[{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]
                        2. Add Preprocessing
                        3. Taylor expanded in x around 0

                          \[\leadsto \mathsf{\_.f64}\left(\color{blue}{1}, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(1, n\right)\right)\right) \]
                        4. Step-by-step derivation
                          1. Simplified42.3%

                            \[\leadsto \color{blue}{1} - {x}^{\left(\frac{1}{n}\right)} \]
                          2. Taylor expanded in n around inf

                            \[\leadsto \mathsf{\_.f64}\left(1, \color{blue}{1}\right) \]
                          3. Step-by-step derivation
                            1. Simplified78.3%

                              \[\leadsto 1 - \color{blue}{1} \]
                            2. Step-by-step derivation
                              1. metadata-eval78.3%

                                \[\leadsto 0 \]
                            3. Applied egg-rr78.3%

                              \[\leadsto \color{blue}{0} \]
                          4. Recombined 3 regimes into one program.
                          5. Final simplification65.7%

                            \[\leadsto \begin{array}{l} \mathbf{if}\;x \leq 0.7:\\ \;\;\;\;0 - \frac{\log x}{n}\\ \mathbf{elif}\;x \leq 1.8 \cdot 10^{+44}:\\ \;\;\;\;\frac{\frac{\frac{\frac{0.3333333333333333 + \frac{-0.25}{x}}{x} - 0.5}{x} + 1}{x}}{n}\\ \mathbf{else}:\\ \;\;\;\;0\\ \end{array} \]
                          6. Add Preprocessing

                          Alternative 12: 49.5% accurate, 9.6× speedup?

                          \[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;x \leq 6.5 \cdot 10^{+45}:\\ \;\;\;\;\frac{\frac{1}{n} + \frac{\frac{0.3333333333333333}{n \cdot x} + \frac{-0.5}{n}}{x}}{x}\\ \mathbf{else}:\\ \;\;\;\;0\\ \end{array} \end{array} \]
                          (FPCore (x n)
                           :precision binary64
                           (if (<= x 6.5e+45)
                             (/ (+ (/ 1.0 n) (/ (+ (/ 0.3333333333333333 (* n x)) (/ -0.5 n)) x)) x)
                             0.0))
                          double code(double x, double n) {
                          	double tmp;
                          	if (x <= 6.5e+45) {
                          		tmp = ((1.0 / n) + (((0.3333333333333333 / (n * x)) + (-0.5 / n)) / x)) / x;
                          	} else {
                          		tmp = 0.0;
                          	}
                          	return tmp;
                          }
                          
                          real(8) function code(x, n)
                              real(8), intent (in) :: x
                              real(8), intent (in) :: n
                              real(8) :: tmp
                              if (x <= 6.5d+45) then
                                  tmp = ((1.0d0 / n) + (((0.3333333333333333d0 / (n * x)) + ((-0.5d0) / n)) / x)) / x
                              else
                                  tmp = 0.0d0
                              end if
                              code = tmp
                          end function
                          
                          public static double code(double x, double n) {
                          	double tmp;
                          	if (x <= 6.5e+45) {
                          		tmp = ((1.0 / n) + (((0.3333333333333333 / (n * x)) + (-0.5 / n)) / x)) / x;
                          	} else {
                          		tmp = 0.0;
                          	}
                          	return tmp;
                          }
                          
                          def code(x, n):
                          	tmp = 0
                          	if x <= 6.5e+45:
                          		tmp = ((1.0 / n) + (((0.3333333333333333 / (n * x)) + (-0.5 / n)) / x)) / x
                          	else:
                          		tmp = 0.0
                          	return tmp
                          
                          function code(x, n)
                          	tmp = 0.0
                          	if (x <= 6.5e+45)
                          		tmp = Float64(Float64(Float64(1.0 / n) + Float64(Float64(Float64(0.3333333333333333 / Float64(n * x)) + Float64(-0.5 / n)) / x)) / x);
                          	else
                          		tmp = 0.0;
                          	end
                          	return tmp
                          end
                          
                          function tmp_2 = code(x, n)
                          	tmp = 0.0;
                          	if (x <= 6.5e+45)
                          		tmp = ((1.0 / n) + (((0.3333333333333333 / (n * x)) + (-0.5 / n)) / x)) / x;
                          	else
                          		tmp = 0.0;
                          	end
                          	tmp_2 = tmp;
                          end
                          
                          code[x_, n_] := If[LessEqual[x, 6.5e+45], N[(N[(N[(1.0 / n), $MachinePrecision] + N[(N[(N[(0.3333333333333333 / N[(n * x), $MachinePrecision]), $MachinePrecision] + N[(-0.5 / n), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision], 0.0]
                          
                          \begin{array}{l}
                          
                          \\
                          \begin{array}{l}
                          \mathbf{if}\;x \leq 6.5 \cdot 10^{+45}:\\
                          \;\;\;\;\frac{\frac{1}{n} + \frac{\frac{0.3333333333333333}{n \cdot x} + \frac{-0.5}{n}}{x}}{x}\\
                          
                          \mathbf{else}:\\
                          \;\;\;\;0\\
                          
                          
                          \end{array}
                          \end{array}
                          
                          Derivation
                          1. Split input into 2 regimes
                          2. if x < 6.50000000000000034e45

                            1. Initial program 40.0%

                              \[{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]
                            2. Add Preprocessing
                            3. Taylor expanded in n around inf

                              \[\leadsto \color{blue}{\frac{\left(\log \left(1 + x\right) + \frac{1}{2} \cdot \frac{{\log \left(1 + x\right)}^{2}}{n}\right) - \left(\log x + \frac{1}{2} \cdot \frac{{\log x}^{2}}{n}\right)}{n}} \]
                            4. Step-by-step derivation
                              1. /-lowering-/.f64N/A

                                \[\leadsto \mathsf{/.f64}\left(\left(\left(\log \left(1 + x\right) + \frac{1}{2} \cdot \frac{{\log \left(1 + x\right)}^{2}}{n}\right) - \left(\log x + \frac{1}{2} \cdot \frac{{\log x}^{2}}{n}\right)\right), \color{blue}{n}\right) \]
                            5. Simplified63.9%

                              \[\leadsto \color{blue}{\frac{\frac{0.5}{n} \cdot \left({\left(\mathsf{log1p}\left(x\right)\right)}^{2} - {\log x}^{2}\right) + \left(\mathsf{log1p}\left(x\right) - \log x\right)}{n}} \]
                            6. Step-by-step derivation
                              1. diff-logN/A

                                \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \log \left(\frac{1 + x}{x}\right)\right), n\right) \]
                              2. +-commutativeN/A

                                \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \log \left(\frac{x + 1}{x}\right)\right), n\right) \]
                              3. clear-numN/A

                                \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \log \left(\frac{1}{\frac{x}{x + 1}}\right)\right), n\right) \]
                              4. log-recN/A

                                \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \left(\mathsf{neg}\left(\log \left(\frac{x}{x + 1}\right)\right)\right)\right), n\right) \]
                              5. neg-lowering-neg.f64N/A

                                \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\log \left(\frac{x}{x + 1}\right)\right)\right), n\right) \]
                              6. log-lowering-log.f64N/A

                                \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\left(\frac{x}{x + 1}\right)\right)\right)\right), n\right) \]
                              7. /-lowering-/.f64N/A

                                \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \left(x + 1\right)\right)\right)\right)\right), n\right) \]
                              8. +-commutativeN/A

                                \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \left(1 + x\right)\right)\right)\right)\right), n\right) \]
                              9. +-lowering-+.f6464.3%

                                \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right)\right)\right), n\right) \]
                            7. Applied egg-rr64.3%

                              \[\leadsto \frac{\frac{0.5}{n} \cdot \left({\left(\mathsf{log1p}\left(x\right)\right)}^{2} - {\log x}^{2}\right) + \color{blue}{\left(-\log \left(\frac{x}{1 + x}\right)\right)}}{n} \]
                            8. Taylor expanded in n around inf

                              \[\leadsto \color{blue}{-1 \cdot \frac{\log \left(\frac{x}{1 + x}\right)}{n}} \]
                            9. Step-by-step derivation
                              1. mul-1-negN/A

                                \[\leadsto \mathsf{neg}\left(\frac{\log \left(\frac{x}{1 + x}\right)}{n}\right) \]
                              2. distribute-neg-frac2N/A

                                \[\leadsto \frac{\log \left(\frac{x}{1 + x}\right)}{\color{blue}{\mathsf{neg}\left(n\right)}} \]
                              3. mul-1-negN/A

                                \[\leadsto \frac{\log \left(\frac{x}{1 + x}\right)}{-1 \cdot \color{blue}{n}} \]
                              4. /-lowering-/.f64N/A

                                \[\leadsto \mathsf{/.f64}\left(\log \left(\frac{x}{1 + x}\right), \color{blue}{\left(-1 \cdot n\right)}\right) \]
                              5. log-lowering-log.f64N/A

                                \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\left(\frac{x}{1 + x}\right)\right), \left(\color{blue}{-1} \cdot n\right)\right) \]
                              6. /-lowering-/.f64N/A

                                \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \left(1 + x\right)\right)\right), \left(-1 \cdot n\right)\right) \]
                              7. +-lowering-+.f64N/A

                                \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right), \left(-1 \cdot n\right)\right) \]
                              8. mul-1-negN/A

                                \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right), \left(\mathsf{neg}\left(n\right)\right)\right) \]
                              9. neg-lowering-neg.f6453.8%

                                \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right), \mathsf{neg.f64}\left(n\right)\right) \]
                            10. Simplified53.8%

                              \[\leadsto \color{blue}{\frac{\log \left(\frac{x}{1 + x}\right)}{-n}} \]
                            11. Taylor expanded in x around -inf

                              \[\leadsto \color{blue}{-1 \cdot \frac{-1 \cdot \frac{\frac{1}{3} \cdot \frac{1}{n \cdot x} - \frac{1}{2} \cdot \frac{1}{n}}{x} - \frac{1}{n}}{x}} \]
                            12. Step-by-step derivation
                              1. associate-*r/N/A

                                \[\leadsto \frac{-1 \cdot \left(-1 \cdot \frac{\frac{1}{3} \cdot \frac{1}{n \cdot x} - \frac{1}{2} \cdot \frac{1}{n}}{x} - \frac{1}{n}\right)}{\color{blue}{x}} \]
                              2. mul-1-negN/A

                                \[\leadsto \frac{\mathsf{neg}\left(\left(-1 \cdot \frac{\frac{1}{3} \cdot \frac{1}{n \cdot x} - \frac{1}{2} \cdot \frac{1}{n}}{x} - \frac{1}{n}\right)\right)}{x} \]
                              3. sub-negN/A

                                \[\leadsto \frac{\mathsf{neg}\left(\left(-1 \cdot \frac{\frac{1}{3} \cdot \frac{1}{n \cdot x} - \frac{1}{2} \cdot \frac{1}{n}}{x} + \left(\mathsf{neg}\left(\frac{1}{n}\right)\right)\right)\right)}{x} \]
                              4. mul-1-negN/A

                                \[\leadsto \frac{\mathsf{neg}\left(\left(\left(\mathsf{neg}\left(\frac{\frac{1}{3} \cdot \frac{1}{n \cdot x} - \frac{1}{2} \cdot \frac{1}{n}}{x}\right)\right) + \left(\mathsf{neg}\left(\frac{1}{n}\right)\right)\right)\right)}{x} \]
                              5. distribute-neg-outN/A

                                \[\leadsto \frac{\mathsf{neg}\left(\left(\mathsf{neg}\left(\left(\frac{\frac{1}{3} \cdot \frac{1}{n \cdot x} - \frac{1}{2} \cdot \frac{1}{n}}{x} + \frac{1}{n}\right)\right)\right)\right)}{x} \]
                              6. remove-double-negN/A

                                \[\leadsto \frac{\frac{\frac{1}{3} \cdot \frac{1}{n \cdot x} - \frac{1}{2} \cdot \frac{1}{n}}{x} + \frac{1}{n}}{x} \]
                              7. /-lowering-/.f64N/A

                                \[\leadsto \mathsf{/.f64}\left(\left(\frac{\frac{1}{3} \cdot \frac{1}{n \cdot x} - \frac{1}{2} \cdot \frac{1}{n}}{x} + \frac{1}{n}\right), \color{blue}{x}\right) \]
                            13. Simplified33.2%

                              \[\leadsto \color{blue}{\frac{\frac{\frac{0.3333333333333333}{x \cdot n} + \frac{-0.5}{n}}{x} + \frac{1}{n}}{x}} \]

                            if 6.50000000000000034e45 < x

                            1. Initial program 78.3%

                              \[{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]
                            2. Add Preprocessing
                            3. Taylor expanded in x around 0

                              \[\leadsto \mathsf{\_.f64}\left(\color{blue}{1}, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(1, n\right)\right)\right) \]
                            4. Step-by-step derivation
                              1. Simplified42.3%

                                \[\leadsto \color{blue}{1} - {x}^{\left(\frac{1}{n}\right)} \]
                              2. Taylor expanded in n around inf

                                \[\leadsto \mathsf{\_.f64}\left(1, \color{blue}{1}\right) \]
                              3. Step-by-step derivation
                                1. Simplified78.3%

                                  \[\leadsto 1 - \color{blue}{1} \]
                                2. Step-by-step derivation
                                  1. metadata-eval78.3%

                                    \[\leadsto 0 \]
                                3. Applied egg-rr78.3%

                                  \[\leadsto \color{blue}{0} \]
                              4. Recombined 2 regimes into one program.
                              5. Final simplification50.3%

                                \[\leadsto \begin{array}{l} \mathbf{if}\;x \leq 6.5 \cdot 10^{+45}:\\ \;\;\;\;\frac{\frac{1}{n} + \frac{\frac{0.3333333333333333}{n \cdot x} + \frac{-0.5}{n}}{x}}{x}\\ \mathbf{else}:\\ \;\;\;\;0\\ \end{array} \]
                              6. Add Preprocessing

                              Alternative 13: 49.5% accurate, 11.7× speedup?

                              \[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;x \leq 8.5 \cdot 10^{+44}:\\ \;\;\;\;\frac{\frac{1 + \frac{\frac{0.3333333333333333}{x} - 0.5}{x}}{x}}{n}\\ \mathbf{else}:\\ \;\;\;\;0\\ \end{array} \end{array} \]
                              (FPCore (x n)
                               :precision binary64
                               (if (<= x 8.5e+44)
                                 (/ (/ (+ 1.0 (/ (- (/ 0.3333333333333333 x) 0.5) x)) x) n)
                                 0.0))
                              double code(double x, double n) {
                              	double tmp;
                              	if (x <= 8.5e+44) {
                              		tmp = ((1.0 + (((0.3333333333333333 / x) - 0.5) / x)) / x) / n;
                              	} else {
                              		tmp = 0.0;
                              	}
                              	return tmp;
                              }
                              
                              real(8) function code(x, n)
                                  real(8), intent (in) :: x
                                  real(8), intent (in) :: n
                                  real(8) :: tmp
                                  if (x <= 8.5d+44) then
                                      tmp = ((1.0d0 + (((0.3333333333333333d0 / x) - 0.5d0) / x)) / x) / n
                                  else
                                      tmp = 0.0d0
                                  end if
                                  code = tmp
                              end function
                              
                              public static double code(double x, double n) {
                              	double tmp;
                              	if (x <= 8.5e+44) {
                              		tmp = ((1.0 + (((0.3333333333333333 / x) - 0.5) / x)) / x) / n;
                              	} else {
                              		tmp = 0.0;
                              	}
                              	return tmp;
                              }
                              
                              def code(x, n):
                              	tmp = 0
                              	if x <= 8.5e+44:
                              		tmp = ((1.0 + (((0.3333333333333333 / x) - 0.5) / x)) / x) / n
                              	else:
                              		tmp = 0.0
                              	return tmp
                              
                              function code(x, n)
                              	tmp = 0.0
                              	if (x <= 8.5e+44)
                              		tmp = Float64(Float64(Float64(1.0 + Float64(Float64(Float64(0.3333333333333333 / x) - 0.5) / x)) / x) / n);
                              	else
                              		tmp = 0.0;
                              	end
                              	return tmp
                              end
                              
                              function tmp_2 = code(x, n)
                              	tmp = 0.0;
                              	if (x <= 8.5e+44)
                              		tmp = ((1.0 + (((0.3333333333333333 / x) - 0.5) / x)) / x) / n;
                              	else
                              		tmp = 0.0;
                              	end
                              	tmp_2 = tmp;
                              end
                              
                              code[x_, n_] := If[LessEqual[x, 8.5e+44], N[(N[(N[(1.0 + N[(N[(N[(0.3333333333333333 / x), $MachinePrecision] - 0.5), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision] / n), $MachinePrecision], 0.0]
                              
                              \begin{array}{l}
                              
                              \\
                              \begin{array}{l}
                              \mathbf{if}\;x \leq 8.5 \cdot 10^{+44}:\\
                              \;\;\;\;\frac{\frac{1 + \frac{\frac{0.3333333333333333}{x} - 0.5}{x}}{x}}{n}\\
                              
                              \mathbf{else}:\\
                              \;\;\;\;0\\
                              
                              
                              \end{array}
                              \end{array}
                              
                              Derivation
                              1. Split input into 2 regimes
                              2. if x < 8.5e44

                                1. Initial program 40.0%

                                  \[{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]
                                2. Add Preprocessing
                                3. Taylor expanded in n around inf

                                  \[\leadsto \color{blue}{\frac{\left(\log \left(1 + x\right) + \frac{1}{2} \cdot \frac{{\log \left(1 + x\right)}^{2}}{n}\right) - \left(\log x + \frac{1}{2} \cdot \frac{{\log x}^{2}}{n}\right)}{n}} \]
                                4. Step-by-step derivation
                                  1. /-lowering-/.f64N/A

                                    \[\leadsto \mathsf{/.f64}\left(\left(\left(\log \left(1 + x\right) + \frac{1}{2} \cdot \frac{{\log \left(1 + x\right)}^{2}}{n}\right) - \left(\log x + \frac{1}{2} \cdot \frac{{\log x}^{2}}{n}\right)\right), \color{blue}{n}\right) \]
                                5. Simplified63.9%

                                  \[\leadsto \color{blue}{\frac{\frac{0.5}{n} \cdot \left({\left(\mathsf{log1p}\left(x\right)\right)}^{2} - {\log x}^{2}\right) + \left(\mathsf{log1p}\left(x\right) - \log x\right)}{n}} \]
                                6. Step-by-step derivation
                                  1. diff-logN/A

                                    \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \log \left(\frac{1 + x}{x}\right)\right), n\right) \]
                                  2. +-commutativeN/A

                                    \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \log \left(\frac{x + 1}{x}\right)\right), n\right) \]
                                  3. clear-numN/A

                                    \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \log \left(\frac{1}{\frac{x}{x + 1}}\right)\right), n\right) \]
                                  4. log-recN/A

                                    \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \left(\mathsf{neg}\left(\log \left(\frac{x}{x + 1}\right)\right)\right)\right), n\right) \]
                                  5. neg-lowering-neg.f64N/A

                                    \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\log \left(\frac{x}{x + 1}\right)\right)\right), n\right) \]
                                  6. log-lowering-log.f64N/A

                                    \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\left(\frac{x}{x + 1}\right)\right)\right)\right), n\right) \]
                                  7. /-lowering-/.f64N/A

                                    \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \left(x + 1\right)\right)\right)\right)\right), n\right) \]
                                  8. +-commutativeN/A

                                    \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \left(1 + x\right)\right)\right)\right)\right), n\right) \]
                                  9. +-lowering-+.f6464.3%

                                    \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right)\right)\right), n\right) \]
                                7. Applied egg-rr64.3%

                                  \[\leadsto \frac{\frac{0.5}{n} \cdot \left({\left(\mathsf{log1p}\left(x\right)\right)}^{2} - {\log x}^{2}\right) + \color{blue}{\left(-\log \left(\frac{x}{1 + x}\right)\right)}}{n} \]
                                8. Taylor expanded in n around inf

                                  \[\leadsto \color{blue}{-1 \cdot \frac{\log \left(\frac{x}{1 + x}\right)}{n}} \]
                                9. Step-by-step derivation
                                  1. mul-1-negN/A

                                    \[\leadsto \mathsf{neg}\left(\frac{\log \left(\frac{x}{1 + x}\right)}{n}\right) \]
                                  2. distribute-neg-frac2N/A

                                    \[\leadsto \frac{\log \left(\frac{x}{1 + x}\right)}{\color{blue}{\mathsf{neg}\left(n\right)}} \]
                                  3. mul-1-negN/A

                                    \[\leadsto \frac{\log \left(\frac{x}{1 + x}\right)}{-1 \cdot \color{blue}{n}} \]
                                  4. /-lowering-/.f64N/A

                                    \[\leadsto \mathsf{/.f64}\left(\log \left(\frac{x}{1 + x}\right), \color{blue}{\left(-1 \cdot n\right)}\right) \]
                                  5. log-lowering-log.f64N/A

                                    \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\left(\frac{x}{1 + x}\right)\right), \left(\color{blue}{-1} \cdot n\right)\right) \]
                                  6. /-lowering-/.f64N/A

                                    \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \left(1 + x\right)\right)\right), \left(-1 \cdot n\right)\right) \]
                                  7. +-lowering-+.f64N/A

                                    \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right), \left(-1 \cdot n\right)\right) \]
                                  8. mul-1-negN/A

                                    \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right), \left(\mathsf{neg}\left(n\right)\right)\right) \]
                                  9. neg-lowering-neg.f6453.8%

                                    \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right), \mathsf{neg.f64}\left(n\right)\right) \]
                                10. Simplified53.8%

                                  \[\leadsto \color{blue}{\frac{\log \left(\frac{x}{1 + x}\right)}{-n}} \]
                                11. Taylor expanded in x around inf

                                  \[\leadsto \mathsf{/.f64}\left(\color{blue}{\left(\frac{\frac{1}{2} \cdot \frac{1}{x} - \left(1 + \frac{\frac{1}{3}}{{x}^{2}}\right)}{x}\right)}, \mathsf{neg.f64}\left(n\right)\right) \]
                                12. Step-by-step derivation
                                  1. /-lowering-/.f64N/A

                                    \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(\left(\frac{1}{2} \cdot \frac{1}{x} - \left(1 + \frac{\frac{1}{3}}{{x}^{2}}\right)\right), x\right), \mathsf{neg.f64}\left(\color{blue}{n}\right)\right) \]
                                13. Simplified33.1%

                                  \[\leadsto \frac{\color{blue}{\frac{\frac{0.5 - \frac{0.3333333333333333}{x}}{x} + -1}{x}}}{-n} \]

                                if 8.5e44 < x

                                1. Initial program 78.3%

                                  \[{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]
                                2. Add Preprocessing
                                3. Taylor expanded in x around 0

                                  \[\leadsto \mathsf{\_.f64}\left(\color{blue}{1}, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(1, n\right)\right)\right) \]
                                4. Step-by-step derivation
                                  1. Simplified42.3%

                                    \[\leadsto \color{blue}{1} - {x}^{\left(\frac{1}{n}\right)} \]
                                  2. Taylor expanded in n around inf

                                    \[\leadsto \mathsf{\_.f64}\left(1, \color{blue}{1}\right) \]
                                  3. Step-by-step derivation
                                    1. Simplified78.3%

                                      \[\leadsto 1 - \color{blue}{1} \]
                                    2. Step-by-step derivation
                                      1. metadata-eval78.3%

                                        \[\leadsto 0 \]
                                    3. Applied egg-rr78.3%

                                      \[\leadsto \color{blue}{0} \]
                                  4. Recombined 2 regimes into one program.
                                  5. Final simplification50.2%

                                    \[\leadsto \begin{array}{l} \mathbf{if}\;x \leq 8.5 \cdot 10^{+44}:\\ \;\;\;\;\frac{\frac{1 + \frac{\frac{0.3333333333333333}{x} - 0.5}{x}}{x}}{n}\\ \mathbf{else}:\\ \;\;\;\;0\\ \end{array} \]
                                  6. Add Preprocessing

                                  Alternative 14: 45.6% accurate, 14.0× speedup?

                                  \[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{\frac{1}{n}}{x}\\ \mathbf{if}\;n \leq -7:\\ \;\;\;\;t\_0\\ \mathbf{elif}\;n \leq -9 \cdot 10^{-168}:\\ \;\;\;\;0\\ \mathbf{else}:\\ \;\;\;\;t\_0\\ \end{array} \end{array} \]
                                  (FPCore (x n)
                                   :precision binary64
                                   (let* ((t_0 (/ (/ 1.0 n) x)))
                                     (if (<= n -7.0) t_0 (if (<= n -9e-168) 0.0 t_0))))
                                  double code(double x, double n) {
                                  	double t_0 = (1.0 / n) / x;
                                  	double tmp;
                                  	if (n <= -7.0) {
                                  		tmp = t_0;
                                  	} else if (n <= -9e-168) {
                                  		tmp = 0.0;
                                  	} else {
                                  		tmp = t_0;
                                  	}
                                  	return tmp;
                                  }
                                  
                                  real(8) function code(x, n)
                                      real(8), intent (in) :: x
                                      real(8), intent (in) :: n
                                      real(8) :: t_0
                                      real(8) :: tmp
                                      t_0 = (1.0d0 / n) / x
                                      if (n <= (-7.0d0)) then
                                          tmp = t_0
                                      else if (n <= (-9d-168)) then
                                          tmp = 0.0d0
                                      else
                                          tmp = t_0
                                      end if
                                      code = tmp
                                  end function
                                  
                                  public static double code(double x, double n) {
                                  	double t_0 = (1.0 / n) / x;
                                  	double tmp;
                                  	if (n <= -7.0) {
                                  		tmp = t_0;
                                  	} else if (n <= -9e-168) {
                                  		tmp = 0.0;
                                  	} else {
                                  		tmp = t_0;
                                  	}
                                  	return tmp;
                                  }
                                  
                                  def code(x, n):
                                  	t_0 = (1.0 / n) / x
                                  	tmp = 0
                                  	if n <= -7.0:
                                  		tmp = t_0
                                  	elif n <= -9e-168:
                                  		tmp = 0.0
                                  	else:
                                  		tmp = t_0
                                  	return tmp
                                  
                                  function code(x, n)
                                  	t_0 = Float64(Float64(1.0 / n) / x)
                                  	tmp = 0.0
                                  	if (n <= -7.0)
                                  		tmp = t_0;
                                  	elseif (n <= -9e-168)
                                  		tmp = 0.0;
                                  	else
                                  		tmp = t_0;
                                  	end
                                  	return tmp
                                  end
                                  
                                  function tmp_2 = code(x, n)
                                  	t_0 = (1.0 / n) / x;
                                  	tmp = 0.0;
                                  	if (n <= -7.0)
                                  		tmp = t_0;
                                  	elseif (n <= -9e-168)
                                  		tmp = 0.0;
                                  	else
                                  		tmp = t_0;
                                  	end
                                  	tmp_2 = tmp;
                                  end
                                  
                                  code[x_, n_] := Block[{t$95$0 = N[(N[(1.0 / n), $MachinePrecision] / x), $MachinePrecision]}, If[LessEqual[n, -7.0], t$95$0, If[LessEqual[n, -9e-168], 0.0, t$95$0]]]
                                  
                                  \begin{array}{l}
                                  
                                  \\
                                  \begin{array}{l}
                                  t_0 := \frac{\frac{1}{n}}{x}\\
                                  \mathbf{if}\;n \leq -7:\\
                                  \;\;\;\;t\_0\\
                                  
                                  \mathbf{elif}\;n \leq -9 \cdot 10^{-168}:\\
                                  \;\;\;\;0\\
                                  
                                  \mathbf{else}:\\
                                  \;\;\;\;t\_0\\
                                  
                                  
                                  \end{array}
                                  \end{array}
                                  
                                  Derivation
                                  1. Split input into 2 regimes
                                  2. if n < -7 or -9.0000000000000002e-168 < n

                                    1. Initial program 44.3%

                                      \[{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]
                                    2. Add Preprocessing
                                    3. Taylor expanded in n around inf

                                      \[\leadsto \color{blue}{\frac{\left(\log \left(1 + x\right) + \frac{1}{2} \cdot \frac{{\log \left(1 + x\right)}^{2}}{n}\right) - \left(\log x + \frac{1}{2} \cdot \frac{{\log x}^{2}}{n}\right)}{n}} \]
                                    4. Step-by-step derivation
                                      1. /-lowering-/.f64N/A

                                        \[\leadsto \mathsf{/.f64}\left(\left(\left(\log \left(1 + x\right) + \frac{1}{2} \cdot \frac{{\log \left(1 + x\right)}^{2}}{n}\right) - \left(\log x + \frac{1}{2} \cdot \frac{{\log x}^{2}}{n}\right)\right), \color{blue}{n}\right) \]
                                    5. Simplified70.2%

                                      \[\leadsto \color{blue}{\frac{\frac{0.5}{n} \cdot \left({\left(\mathsf{log1p}\left(x\right)\right)}^{2} - {\log x}^{2}\right) + \left(\mathsf{log1p}\left(x\right) - \log x\right)}{n}} \]
                                    6. Step-by-step derivation
                                      1. diff-logN/A

                                        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \log \left(\frac{1 + x}{x}\right)\right), n\right) \]
                                      2. +-commutativeN/A

                                        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \log \left(\frac{x + 1}{x}\right)\right), n\right) \]
                                      3. clear-numN/A

                                        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \log \left(\frac{1}{\frac{x}{x + 1}}\right)\right), n\right) \]
                                      4. log-recN/A

                                        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \left(\mathsf{neg}\left(\log \left(\frac{x}{x + 1}\right)\right)\right)\right), n\right) \]
                                      5. neg-lowering-neg.f64N/A

                                        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\log \left(\frac{x}{x + 1}\right)\right)\right), n\right) \]
                                      6. log-lowering-log.f64N/A

                                        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\left(\frac{x}{x + 1}\right)\right)\right)\right), n\right) \]
                                      7. /-lowering-/.f64N/A

                                        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \left(x + 1\right)\right)\right)\right)\right), n\right) \]
                                      8. +-commutativeN/A

                                        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \left(1 + x\right)\right)\right)\right)\right), n\right) \]
                                      9. +-lowering-+.f6470.5%

                                        \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\frac{1}{2}, n\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{log1p.f64}\left(x\right), 2\right), \mathsf{pow.f64}\left(\mathsf{log.f64}\left(x\right), 2\right)\right)\right), \mathsf{neg.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right)\right)\right), n\right) \]
                                    7. Applied egg-rr70.5%

                                      \[\leadsto \frac{\frac{0.5}{n} \cdot \left({\left(\mathsf{log1p}\left(x\right)\right)}^{2} - {\log x}^{2}\right) + \color{blue}{\left(-\log \left(\frac{x}{1 + x}\right)\right)}}{n} \]
                                    8. Taylor expanded in n around inf

                                      \[\leadsto \color{blue}{-1 \cdot \frac{\log \left(\frac{x}{1 + x}\right)}{n}} \]
                                    9. Step-by-step derivation
                                      1. mul-1-negN/A

                                        \[\leadsto \mathsf{neg}\left(\frac{\log \left(\frac{x}{1 + x}\right)}{n}\right) \]
                                      2. distribute-neg-frac2N/A

                                        \[\leadsto \frac{\log \left(\frac{x}{1 + x}\right)}{\color{blue}{\mathsf{neg}\left(n\right)}} \]
                                      3. mul-1-negN/A

                                        \[\leadsto \frac{\log \left(\frac{x}{1 + x}\right)}{-1 \cdot \color{blue}{n}} \]
                                      4. /-lowering-/.f64N/A

                                        \[\leadsto \mathsf{/.f64}\left(\log \left(\frac{x}{1 + x}\right), \color{blue}{\left(-1 \cdot n\right)}\right) \]
                                      5. log-lowering-log.f64N/A

                                        \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\left(\frac{x}{1 + x}\right)\right), \left(\color{blue}{-1} \cdot n\right)\right) \]
                                      6. /-lowering-/.f64N/A

                                        \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \left(1 + x\right)\right)\right), \left(-1 \cdot n\right)\right) \]
                                      7. +-lowering-+.f64N/A

                                        \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right), \left(-1 \cdot n\right)\right) \]
                                      8. mul-1-negN/A

                                        \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right), \left(\mathsf{neg}\left(n\right)\right)\right) \]
                                      9. neg-lowering-neg.f6463.1%

                                        \[\leadsto \mathsf{/.f64}\left(\mathsf{log.f64}\left(\mathsf{/.f64}\left(x, \mathsf{+.f64}\left(1, x\right)\right)\right), \mathsf{neg.f64}\left(n\right)\right) \]
                                    10. Simplified63.1%

                                      \[\leadsto \color{blue}{\frac{\log \left(\frac{x}{1 + x}\right)}{-n}} \]
                                    11. Taylor expanded in x around inf

                                      \[\leadsto \color{blue}{\frac{1}{n \cdot x}} \]
                                    12. Step-by-step derivation
                                      1. associate-/r*N/A

                                        \[\leadsto \frac{\frac{1}{n}}{\color{blue}{x}} \]
                                      2. /-lowering-/.f64N/A

                                        \[\leadsto \mathsf{/.f64}\left(\left(\frac{1}{n}\right), \color{blue}{x}\right) \]
                                      3. /-lowering-/.f6447.5%

                                        \[\leadsto \mathsf{/.f64}\left(\mathsf{/.f64}\left(1, n\right), x\right) \]
                                    13. Simplified47.5%

                                      \[\leadsto \color{blue}{\frac{\frac{1}{n}}{x}} \]

                                    if -7 < n < -9.0000000000000002e-168

                                    1. Initial program 100.0%

                                      \[{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]
                                    2. Add Preprocessing
                                    3. Taylor expanded in x around 0

                                      \[\leadsto \mathsf{\_.f64}\left(\color{blue}{1}, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(1, n\right)\right)\right) \]
                                    4. Step-by-step derivation
                                      1. Simplified38.2%

                                        \[\leadsto \color{blue}{1} - {x}^{\left(\frac{1}{n}\right)} \]
                                      2. Taylor expanded in n around inf

                                        \[\leadsto \mathsf{\_.f64}\left(1, \color{blue}{1}\right) \]
                                      3. Step-by-step derivation
                                        1. Simplified64.4%

                                          \[\leadsto 1 - \color{blue}{1} \]
                                        2. Step-by-step derivation
                                          1. metadata-eval64.4%

                                            \[\leadsto 0 \]
                                        3. Applied egg-rr64.4%

                                          \[\leadsto \color{blue}{0} \]
                                      4. Recombined 2 regimes into one program.
                                      5. Add Preprocessing

                                      Alternative 15: 45.0% accurate, 14.0× speedup?

                                      \[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{1}{n \cdot x}\\ \mathbf{if}\;n \leq -2.9:\\ \;\;\;\;t\_0\\ \mathbf{elif}\;n \leq -1.35 \cdot 10^{-167}:\\ \;\;\;\;0\\ \mathbf{else}:\\ \;\;\;\;t\_0\\ \end{array} \end{array} \]
                                      (FPCore (x n)
                                       :precision binary64
                                       (let* ((t_0 (/ 1.0 (* n x))))
                                         (if (<= n -2.9) t_0 (if (<= n -1.35e-167) 0.0 t_0))))
                                      double code(double x, double n) {
                                      	double t_0 = 1.0 / (n * x);
                                      	double tmp;
                                      	if (n <= -2.9) {
                                      		tmp = t_0;
                                      	} else if (n <= -1.35e-167) {
                                      		tmp = 0.0;
                                      	} else {
                                      		tmp = t_0;
                                      	}
                                      	return tmp;
                                      }
                                      
                                      real(8) function code(x, n)
                                          real(8), intent (in) :: x
                                          real(8), intent (in) :: n
                                          real(8) :: t_0
                                          real(8) :: tmp
                                          t_0 = 1.0d0 / (n * x)
                                          if (n <= (-2.9d0)) then
                                              tmp = t_0
                                          else if (n <= (-1.35d-167)) then
                                              tmp = 0.0d0
                                          else
                                              tmp = t_0
                                          end if
                                          code = tmp
                                      end function
                                      
                                      public static double code(double x, double n) {
                                      	double t_0 = 1.0 / (n * x);
                                      	double tmp;
                                      	if (n <= -2.9) {
                                      		tmp = t_0;
                                      	} else if (n <= -1.35e-167) {
                                      		tmp = 0.0;
                                      	} else {
                                      		tmp = t_0;
                                      	}
                                      	return tmp;
                                      }
                                      
                                      def code(x, n):
                                      	t_0 = 1.0 / (n * x)
                                      	tmp = 0
                                      	if n <= -2.9:
                                      		tmp = t_0
                                      	elif n <= -1.35e-167:
                                      		tmp = 0.0
                                      	else:
                                      		tmp = t_0
                                      	return tmp
                                      
                                      function code(x, n)
                                      	t_0 = Float64(1.0 / Float64(n * x))
                                      	tmp = 0.0
                                      	if (n <= -2.9)
                                      		tmp = t_0;
                                      	elseif (n <= -1.35e-167)
                                      		tmp = 0.0;
                                      	else
                                      		tmp = t_0;
                                      	end
                                      	return tmp
                                      end
                                      
                                      function tmp_2 = code(x, n)
                                      	t_0 = 1.0 / (n * x);
                                      	tmp = 0.0;
                                      	if (n <= -2.9)
                                      		tmp = t_0;
                                      	elseif (n <= -1.35e-167)
                                      		tmp = 0.0;
                                      	else
                                      		tmp = t_0;
                                      	end
                                      	tmp_2 = tmp;
                                      end
                                      
                                      code[x_, n_] := Block[{t$95$0 = N[(1.0 / N[(n * x), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[n, -2.9], t$95$0, If[LessEqual[n, -1.35e-167], 0.0, t$95$0]]]
                                      
                                      \begin{array}{l}
                                      
                                      \\
                                      \begin{array}{l}
                                      t_0 := \frac{1}{n \cdot x}\\
                                      \mathbf{if}\;n \leq -2.9:\\
                                      \;\;\;\;t\_0\\
                                      
                                      \mathbf{elif}\;n \leq -1.35 \cdot 10^{-167}:\\
                                      \;\;\;\;0\\
                                      
                                      \mathbf{else}:\\
                                      \;\;\;\;t\_0\\
                                      
                                      
                                      \end{array}
                                      \end{array}
                                      
                                      Derivation
                                      1. Split input into 2 regimes
                                      2. if n < -2.89999999999999991 or -1.35e-167 < n

                                        1. Initial program 44.3%

                                          \[{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]
                                        2. Add Preprocessing
                                        3. Step-by-step derivation
                                          1. flip3--N/A

                                            \[\leadsto \frac{{\left({\left(x + 1\right)}^{\left(\frac{1}{n}\right)}\right)}^{3} - {\left({x}^{\left(\frac{1}{n}\right)}\right)}^{3}}{\color{blue}{{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)}} \]
                                          2. /-lowering-/.f64N/A

                                            \[\leadsto \mathsf{/.f64}\left(\left({\left({\left(x + 1\right)}^{\left(\frac{1}{n}\right)}\right)}^{3} - {\left({x}^{\left(\frac{1}{n}\right)}\right)}^{3}\right), \color{blue}{\left({\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)}\right) \]
                                          3. --lowering--.f64N/A

                                            \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\left({\left({\left(x + 1\right)}^{\left(\frac{1}{n}\right)}\right)}^{3}\right), \left({\left({x}^{\left(\frac{1}{n}\right)}\right)}^{3}\right)\right), \left(\color{blue}{{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {\left(x + 1\right)}^{\left(\frac{1}{n}\right)}} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
                                          4. pow-powN/A

                                            \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\left({\left(x + 1\right)}^{\left(\frac{1}{n} \cdot 3\right)}\right), \left({\left({x}^{\left(\frac{1}{n}\right)}\right)}^{3}\right)\right), \left(\color{blue}{{\left(x + 1\right)}^{\left(\frac{1}{n}\right)}} \cdot {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
                                          5. pow-lowering-pow.f64N/A

                                            \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\left(x + 1\right), \left(\frac{1}{n} \cdot 3\right)\right), \left({\left({x}^{\left(\frac{1}{n}\right)}\right)}^{3}\right)\right), \left(\color{blue}{{\left(x + 1\right)}^{\left(\frac{1}{n}\right)}} \cdot {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
                                          6. +-lowering-+.f64N/A

                                            \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \left(\frac{1}{n} \cdot 3\right)\right), \left({\left({x}^{\left(\frac{1}{n}\right)}\right)}^{3}\right)\right), \left({\color{blue}{\left(x + 1\right)}}^{\left(\frac{1}{n}\right)} \cdot {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
                                          7. associate-*l/N/A

                                            \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \left(\frac{1 \cdot 3}{n}\right)\right), \left({\left({x}^{\left(\frac{1}{n}\right)}\right)}^{3}\right)\right), \left({\left(x + 1\right)}^{\color{blue}{\left(\frac{1}{n}\right)}} \cdot {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
                                          8. metadata-evalN/A

                                            \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \left(\frac{3}{n}\right)\right), \left({\left({x}^{\left(\frac{1}{n}\right)}\right)}^{3}\right)\right), \left({\left(x + 1\right)}^{\left(\frac{\color{blue}{1}}{n}\right)} \cdot {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
                                          9. /-lowering-/.f64N/A

                                            \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \mathsf{/.f64}\left(3, n\right)\right), \left({\left({x}^{\left(\frac{1}{n}\right)}\right)}^{3}\right)\right), \left({\left(x + 1\right)}^{\color{blue}{\left(\frac{1}{n}\right)}} \cdot {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
                                          10. pow-powN/A

                                            \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \mathsf{/.f64}\left(3, n\right)\right), \left({x}^{\left(\frac{1}{n} \cdot 3\right)}\right)\right), \left({\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot \color{blue}{{\left(x + 1\right)}^{\left(\frac{1}{n}\right)}} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
                                          11. pow-lowering-pow.f64N/A

                                            \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \mathsf{/.f64}\left(3, n\right)\right), \mathsf{pow.f64}\left(x, \left(\frac{1}{n} \cdot 3\right)\right)\right), \left({\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot \color{blue}{{\left(x + 1\right)}^{\left(\frac{1}{n}\right)}} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
                                          12. associate-*l/N/A

                                            \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \mathsf{/.f64}\left(3, n\right)\right), \mathsf{pow.f64}\left(x, \left(\frac{1 \cdot 3}{n}\right)\right)\right), \left({\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {\left(x + 1\right)}^{\color{blue}{\left(\frac{1}{n}\right)}} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
                                          13. metadata-evalN/A

                                            \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \mathsf{/.f64}\left(3, n\right)\right), \mathsf{pow.f64}\left(x, \left(\frac{3}{n}\right)\right)\right), \left({\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {\left(x + 1\right)}^{\left(\frac{\color{blue}{1}}{n}\right)} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
                                          14. /-lowering-/.f64N/A

                                            \[\leadsto \mathsf{/.f64}\left(\mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \mathsf{/.f64}\left(3, n\right)\right), \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(3, n\right)\right)\right), \left({\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {\left(x + 1\right)}^{\color{blue}{\left(\frac{1}{n}\right)}} + \left({x}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)} + {\left(x + 1\right)}^{\left(\frac{1}{n}\right)} \cdot {x}^{\left(\frac{1}{n}\right)}\right)\right)\right) \]
                                        4. Applied egg-rr31.4%

                                          \[\leadsto \color{blue}{\frac{{\left(x + 1\right)}^{\left(\frac{3}{n}\right)} - {x}^{\left(\frac{3}{n}\right)}}{{\left(x + 1\right)}^{\left(\frac{2}{n}\right)} + \left({x}^{\left(\frac{2}{n}\right)} + {\left(x \cdot \left(x + 1\right)\right)}^{\left(\frac{1}{n}\right)}\right)}} \]
                                        5. Taylor expanded in x around inf

                                          \[\leadsto \color{blue}{3 \cdot \frac{e^{-3 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}}{n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)}} \]
                                        6. Step-by-step derivation
                                          1. associate-*r/N/A

                                            \[\leadsto \frac{3 \cdot e^{-3 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}}{\color{blue}{n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)}} \]
                                          2. /-lowering-/.f64N/A

                                            \[\leadsto \mathsf{/.f64}\left(\left(3 \cdot e^{-3 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right), \color{blue}{\left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)}\right) \]
                                          3. *-lowering-*.f64N/A

                                            \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \left(e^{-3 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right), \left(\color{blue}{n} \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
                                          4. exp-lowering-exp.f64N/A

                                            \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \mathsf{exp.f64}\left(\left(-3 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}\right)\right)\right), \left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
                                          5. associate-*r/N/A

                                            \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \mathsf{exp.f64}\left(\left(\frac{-3 \cdot \log \left(\frac{1}{x}\right)}{n}\right)\right)\right), \left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
                                          6. /-lowering-/.f64N/A

                                            \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \mathsf{exp.f64}\left(\mathsf{/.f64}\left(\left(-3 \cdot \log \left(\frac{1}{x}\right)\right), n\right)\right)\right), \left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
                                          7. *-lowering-*.f64N/A

                                            \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \mathsf{exp.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(-3, \log \left(\frac{1}{x}\right)\right), n\right)\right)\right), \left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
                                          8. log-recN/A

                                            \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \mathsf{exp.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(-3, \left(\mathsf{neg}\left(\log x\right)\right)\right), n\right)\right)\right), \left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
                                          9. mul-1-negN/A

                                            \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \mathsf{exp.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(-3, \left(-1 \cdot \log x\right)\right), n\right)\right)\right), \left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
                                          10. *-commutativeN/A

                                            \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \mathsf{exp.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(-3, \left(\log x \cdot -1\right)\right), n\right)\right)\right), \left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
                                          11. *-lowering-*.f64N/A

                                            \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \mathsf{exp.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(-3, \mathsf{*.f64}\left(\log x, -1\right)\right), n\right)\right)\right), \left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
                                          12. log-lowering-log.f64N/A

                                            \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(3, \mathsf{exp.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(-3, \mathsf{*.f64}\left(\mathsf{log.f64}\left(x\right), -1\right)\right), n\right)\right)\right), \left(n \cdot \left(x \cdot \left(e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}} + 2 \cdot e^{-2 \cdot \frac{\log \left(\frac{1}{x}\right)}{n}}\right)\right)\right)\right) \]
                                        7. Simplified35.8%

                                          \[\leadsto \color{blue}{\frac{3 \cdot e^{\frac{-3 \cdot \left(\log x \cdot -1\right)}{n}}}{\left(x \cdot n\right) \cdot \left(3 \cdot e^{\frac{-2 \cdot \left(\log x \cdot -1\right)}{n}}\right)}} \]
                                        8. Taylor expanded in n around inf

                                          \[\leadsto \color{blue}{\frac{1}{n \cdot x}} \]
                                        9. Step-by-step derivation
                                          1. /-lowering-/.f64N/A

                                            \[\leadsto \mathsf{/.f64}\left(1, \color{blue}{\left(n \cdot x\right)}\right) \]
                                          2. *-commutativeN/A

                                            \[\leadsto \mathsf{/.f64}\left(1, \left(x \cdot \color{blue}{n}\right)\right) \]
                                          3. *-lowering-*.f6446.5%

                                            \[\leadsto \mathsf{/.f64}\left(1, \mathsf{*.f64}\left(x, \color{blue}{n}\right)\right) \]
                                        10. Simplified46.5%

                                          \[\leadsto \color{blue}{\frac{1}{x \cdot n}} \]

                                        if -2.89999999999999991 < n < -1.35e-167

                                        1. Initial program 100.0%

                                          \[{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]
                                        2. Add Preprocessing
                                        3. Taylor expanded in x around 0

                                          \[\leadsto \mathsf{\_.f64}\left(\color{blue}{1}, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(1, n\right)\right)\right) \]
                                        4. Step-by-step derivation
                                          1. Simplified38.2%

                                            \[\leadsto \color{blue}{1} - {x}^{\left(\frac{1}{n}\right)} \]
                                          2. Taylor expanded in n around inf

                                            \[\leadsto \mathsf{\_.f64}\left(1, \color{blue}{1}\right) \]
                                          3. Step-by-step derivation
                                            1. Simplified64.4%

                                              \[\leadsto 1 - \color{blue}{1} \]
                                            2. Step-by-step derivation
                                              1. metadata-eval64.4%

                                                \[\leadsto 0 \]
                                            3. Applied egg-rr64.4%

                                              \[\leadsto \color{blue}{0} \]
                                          4. Recombined 2 regimes into one program.
                                          5. Final simplification49.8%

                                            \[\leadsto \begin{array}{l} \mathbf{if}\;n \leq -2.9:\\ \;\;\;\;\frac{1}{n \cdot x}\\ \mathbf{elif}\;n \leq -1.35 \cdot 10^{-167}:\\ \;\;\;\;0\\ \mathbf{else}:\\ \;\;\;\;\frac{1}{n \cdot x}\\ \end{array} \]
                                          6. Add Preprocessing

                                          Alternative 16: 30.9% accurate, 211.0× speedup?

                                          \[\begin{array}{l} \\ 0 \end{array} \]
                                          (FPCore (x n) :precision binary64 0.0)
                                          double code(double x, double n) {
                                          	return 0.0;
                                          }
                                          
                                          real(8) function code(x, n)
                                              real(8), intent (in) :: x
                                              real(8), intent (in) :: n
                                              code = 0.0d0
                                          end function
                                          
                                          public static double code(double x, double n) {
                                          	return 0.0;
                                          }
                                          
                                          def code(x, n):
                                          	return 0.0
                                          
                                          function code(x, n)
                                          	return 0.0
                                          end
                                          
                                          function tmp = code(x, n)
                                          	tmp = 0.0;
                                          end
                                          
                                          code[x_, n_] := 0.0
                                          
                                          \begin{array}{l}
                                          
                                          \\
                                          0
                                          \end{array}
                                          
                                          Derivation
                                          1. Initial program 54.5%

                                            \[{\left(x + 1\right)}^{\left(\frac{1}{n}\right)} - {x}^{\left(\frac{1}{n}\right)} \]
                                          2. Add Preprocessing
                                          3. Taylor expanded in x around 0

                                            \[\leadsto \mathsf{\_.f64}\left(\color{blue}{1}, \mathsf{pow.f64}\left(x, \mathsf{/.f64}\left(1, n\right)\right)\right) \]
                                          4. Step-by-step derivation
                                            1. Simplified39.5%

                                              \[\leadsto \color{blue}{1} - {x}^{\left(\frac{1}{n}\right)} \]
                                            2. Taylor expanded in n around inf

                                              \[\leadsto \mathsf{\_.f64}\left(1, \color{blue}{1}\right) \]
                                            3. Step-by-step derivation
                                              1. Simplified33.1%

                                                \[\leadsto 1 - \color{blue}{1} \]
                                              2. Step-by-step derivation
                                                1. metadata-eval33.1%

                                                  \[\leadsto 0 \]
                                              3. Applied egg-rr33.1%

                                                \[\leadsto \color{blue}{0} \]
                                              4. Add Preprocessing

                                              Reproduce

                                              ?
                                              herbie shell --seed 2024140 
                                              (FPCore (x n)
                                                :name "2nthrt (problem 3.4.6)"
                                                :precision binary64
                                                (- (pow (+ x 1.0) (/ 1.0 n)) (pow x (/ 1.0 n))))