Migdal et al, Equation (51)

Percentage Accurate: 99.4% → 99.4%
Time: 15.5s
Alternatives: 11
Speedup: 1.0×

Specification

?
\[\begin{array}{l} \\ \frac{1}{\sqrt{k}} \cdot {\left(\left(2 \cdot \pi\right) \cdot n\right)}^{\left(\frac{1 - k}{2}\right)} \end{array} \]
(FPCore (k n)
 :precision binary64
 (* (/ 1.0 (sqrt k)) (pow (* (* 2.0 PI) n) (/ (- 1.0 k) 2.0))))
double code(double k, double n) {
	return (1.0 / sqrt(k)) * pow(((2.0 * ((double) M_PI)) * n), ((1.0 - k) / 2.0));
}
public static double code(double k, double n) {
	return (1.0 / Math.sqrt(k)) * Math.pow(((2.0 * Math.PI) * n), ((1.0 - k) / 2.0));
}
def code(k, n):
	return (1.0 / math.sqrt(k)) * math.pow(((2.0 * math.pi) * n), ((1.0 - k) / 2.0))
function code(k, n)
	return Float64(Float64(1.0 / sqrt(k)) * (Float64(Float64(2.0 * pi) * n) ^ Float64(Float64(1.0 - k) / 2.0)))
end
function tmp = code(k, n)
	tmp = (1.0 / sqrt(k)) * (((2.0 * pi) * n) ^ ((1.0 - k) / 2.0));
end
code[k_, n_] := N[(N[(1.0 / N[Sqrt[k], $MachinePrecision]), $MachinePrecision] * N[Power[N[(N[(2.0 * Pi), $MachinePrecision] * n), $MachinePrecision], N[(N[(1.0 - k), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}

\\
\frac{1}{\sqrt{k}} \cdot {\left(\left(2 \cdot \pi\right) \cdot n\right)}^{\left(\frac{1 - k}{2}\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 11 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: 99.4% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \frac{1}{\sqrt{k}} \cdot {\left(\left(2 \cdot \pi\right) \cdot n\right)}^{\left(\frac{1 - k}{2}\right)} \end{array} \]
(FPCore (k n)
 :precision binary64
 (* (/ 1.0 (sqrt k)) (pow (* (* 2.0 PI) n) (/ (- 1.0 k) 2.0))))
double code(double k, double n) {
	return (1.0 / sqrt(k)) * pow(((2.0 * ((double) M_PI)) * n), ((1.0 - k) / 2.0));
}
public static double code(double k, double n) {
	return (1.0 / Math.sqrt(k)) * Math.pow(((2.0 * Math.PI) * n), ((1.0 - k) / 2.0));
}
def code(k, n):
	return (1.0 / math.sqrt(k)) * math.pow(((2.0 * math.pi) * n), ((1.0 - k) / 2.0))
function code(k, n)
	return Float64(Float64(1.0 / sqrt(k)) * (Float64(Float64(2.0 * pi) * n) ^ Float64(Float64(1.0 - k) / 2.0)))
end
function tmp = code(k, n)
	tmp = (1.0 / sqrt(k)) * (((2.0 * pi) * n) ^ ((1.0 - k) / 2.0));
end
code[k_, n_] := N[(N[(1.0 / N[Sqrt[k], $MachinePrecision]), $MachinePrecision] * N[Power[N[(N[(2.0 * Pi), $MachinePrecision] * n), $MachinePrecision], N[(N[(1.0 - k), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}

\\
\frac{1}{\sqrt{k}} \cdot {\left(\left(2 \cdot \pi\right) \cdot n\right)}^{\left(\frac{1 - k}{2}\right)}
\end{array}

Alternative 1: 99.4% accurate, 0.7× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \pi \cdot \left(n \cdot 2\right)\\ \frac{\sqrt{t\_0}}{\sqrt{k \cdot {t\_0}^{k}}} \end{array} \end{array} \]
(FPCore (k n)
 :precision binary64
 (let* ((t_0 (* PI (* n 2.0)))) (/ (sqrt t_0) (sqrt (* k (pow t_0 k))))))
double code(double k, double n) {
	double t_0 = ((double) M_PI) * (n * 2.0);
	return sqrt(t_0) / sqrt((k * pow(t_0, k)));
}
public static double code(double k, double n) {
	double t_0 = Math.PI * (n * 2.0);
	return Math.sqrt(t_0) / Math.sqrt((k * Math.pow(t_0, k)));
}
def code(k, n):
	t_0 = math.pi * (n * 2.0)
	return math.sqrt(t_0) / math.sqrt((k * math.pow(t_0, k)))
function code(k, n)
	t_0 = Float64(pi * Float64(n * 2.0))
	return Float64(sqrt(t_0) / sqrt(Float64(k * (t_0 ^ k))))
end
function tmp = code(k, n)
	t_0 = pi * (n * 2.0);
	tmp = sqrt(t_0) / sqrt((k * (t_0 ^ k)));
end
code[k_, n_] := Block[{t$95$0 = N[(Pi * N[(n * 2.0), $MachinePrecision]), $MachinePrecision]}, N[(N[Sqrt[t$95$0], $MachinePrecision] / N[Sqrt[N[(k * N[Power[t$95$0, k], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \pi \cdot \left(n \cdot 2\right)\\
\frac{\sqrt{t\_0}}{\sqrt{k \cdot {t\_0}^{k}}}
\end{array}
\end{array}
Derivation
  1. Initial program 99.5%

    \[\frac{1}{\sqrt{k}} \cdot {\left(\left(2 \cdot \pi\right) \cdot n\right)}^{\left(\frac{1 - k}{2}\right)} \]
  2. Add Preprocessing
  3. Step-by-step derivation
    1. associate-*l/99.5%

      \[\leadsto \color{blue}{\frac{1 \cdot {\left(\left(2 \cdot \pi\right) \cdot n\right)}^{\left(\frac{1 - k}{2}\right)}}{\sqrt{k}}} \]
    2. *-un-lft-identity99.5%

      \[\leadsto \frac{\color{blue}{{\left(\left(2 \cdot \pi\right) \cdot n\right)}^{\left(\frac{1 - k}{2}\right)}}}{\sqrt{k}} \]
    3. associate-*r*99.5%

      \[\leadsto \frac{{\color{blue}{\left(2 \cdot \left(\pi \cdot n\right)\right)}}^{\left(\frac{1 - k}{2}\right)}}{\sqrt{k}} \]
    4. div-sub99.5%

      \[\leadsto \frac{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\color{blue}{\left(\frac{1}{2} - \frac{k}{2}\right)}}}{\sqrt{k}} \]
    5. metadata-eval99.5%

      \[\leadsto \frac{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(\color{blue}{0.5} - \frac{k}{2}\right)}}{\sqrt{k}} \]
    6. pow-div99.7%

      \[\leadsto \frac{\color{blue}{\frac{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{0.5}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(\frac{k}{2}\right)}}}}{\sqrt{k}} \]
    7. pow1/299.7%

      \[\leadsto \frac{\frac{\color{blue}{\sqrt{2 \cdot \left(\pi \cdot n\right)}}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(\frac{k}{2}\right)}}}{\sqrt{k}} \]
    8. associate-/l/99.7%

      \[\leadsto \color{blue}{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{\sqrt{k} \cdot {\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(\frac{k}{2}\right)}}} \]
    9. div-inv99.7%

      \[\leadsto \frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{\sqrt{k} \cdot {\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\color{blue}{\left(k \cdot \frac{1}{2}\right)}}} \]
    10. metadata-eval99.7%

      \[\leadsto \frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{\sqrt{k} \cdot {\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot \color{blue}{0.5}\right)}} \]
  4. Applied egg-rr99.7%

    \[\leadsto \color{blue}{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{\sqrt{k} \cdot {\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}} \]
  5. Step-by-step derivation
    1. associate-/l/99.7%

      \[\leadsto \color{blue}{\frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\sqrt{k}}} \]
    2. rem-square-sqrt99.7%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\sqrt{\color{blue}{\sqrt{k} \cdot \sqrt{k}}}} \]
    3. rem-sqrt-square99.7%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\color{blue}{\left|\sqrt{k}\right|}} \]
    4. fabs-neg99.7%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\color{blue}{\left|-\sqrt{k}\right|}} \]
    5. neg-mul-199.7%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\left|\color{blue}{-1 \cdot \sqrt{k}}\right|} \]
    6. rem-square-sqrt0.0%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\left|\color{blue}{\left(\sqrt{-1} \cdot \sqrt{-1}\right)} \cdot \sqrt{k}\right|} \]
    7. unpow1/20.0%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\left|\left(\sqrt{-1} \cdot \sqrt{-1}\right) \cdot \color{blue}{{k}^{0.5}}\right|} \]
    8. metadata-eval0.0%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\left|\left(\sqrt{-1} \cdot \sqrt{-1}\right) \cdot {k}^{\color{blue}{\left(2 \cdot 0.25\right)}}\right|} \]
    9. pow-sqr0.0%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\left|\left(\sqrt{-1} \cdot \sqrt{-1}\right) \cdot \color{blue}{\left({k}^{0.25} \cdot {k}^{0.25}\right)}\right|} \]
    10. unswap-sqr0.0%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\left|\color{blue}{\left(\sqrt{-1} \cdot {k}^{0.25}\right) \cdot \left(\sqrt{-1} \cdot {k}^{0.25}\right)}\right|} \]
    11. fabs-sqr0.0%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\color{blue}{\left(\sqrt{-1} \cdot {k}^{0.25}\right) \cdot \left(\sqrt{-1} \cdot {k}^{0.25}\right)}} \]
    12. unswap-sqr0.0%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\color{blue}{\left(\sqrt{-1} \cdot \sqrt{-1}\right) \cdot \left({k}^{0.25} \cdot {k}^{0.25}\right)}} \]
    13. rem-square-sqrt20.9%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\color{blue}{-1} \cdot \left({k}^{0.25} \cdot {k}^{0.25}\right)} \]
    14. pow-sqr20.9%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{-1 \cdot \color{blue}{{k}^{\left(2 \cdot 0.25\right)}}} \]
    15. metadata-eval20.9%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{-1 \cdot {k}^{\color{blue}{0.5}}} \]
    16. unpow1/220.9%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{-1 \cdot \color{blue}{\sqrt{k}}} \]
    17. neg-mul-120.9%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\color{blue}{-\sqrt{k}}} \]
    18. associate-/r*20.9%

      \[\leadsto \color{blue}{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)} \cdot \left(-\sqrt{k}\right)}} \]
  6. Simplified99.7%

    \[\leadsto \color{blue}{\frac{\sqrt{n \cdot \left(2 \cdot \pi\right)}}{\sqrt{k} \cdot {\left(n \cdot \left(2 \cdot \pi\right)\right)}^{\left(k \cdot 0.5\right)}}} \]
  7. Step-by-step derivation
    1. div-inv99.7%

      \[\leadsto \color{blue}{\sqrt{n \cdot \left(2 \cdot \pi\right)} \cdot \frac{1}{\sqrt{k} \cdot {\left(n \cdot \left(2 \cdot \pi\right)\right)}^{\left(k \cdot 0.5\right)}}} \]
    2. *-commutative99.7%

      \[\leadsto \sqrt{\color{blue}{\left(2 \cdot \pi\right) \cdot n}} \cdot \frac{1}{\sqrt{k} \cdot {\left(n \cdot \left(2 \cdot \pi\right)\right)}^{\left(k \cdot 0.5\right)}} \]
    3. associate-*r*99.7%

      \[\leadsto \sqrt{\color{blue}{2 \cdot \left(\pi \cdot n\right)}} \cdot \frac{1}{\sqrt{k} \cdot {\left(n \cdot \left(2 \cdot \pi\right)\right)}^{\left(k \cdot 0.5\right)}} \]
    4. *-commutative99.7%

      \[\leadsto \sqrt{2 \cdot \color{blue}{\left(n \cdot \pi\right)}} \cdot \frac{1}{\sqrt{k} \cdot {\left(n \cdot \left(2 \cdot \pi\right)\right)}^{\left(k \cdot 0.5\right)}} \]
    5. associate-*r*99.7%

      \[\leadsto \sqrt{\color{blue}{\left(2 \cdot n\right) \cdot \pi}} \cdot \frac{1}{\sqrt{k} \cdot {\left(n \cdot \left(2 \cdot \pi\right)\right)}^{\left(k \cdot 0.5\right)}} \]
    6. pow1/299.7%

      \[\leadsto \sqrt{\left(2 \cdot n\right) \cdot \pi} \cdot \frac{1}{\color{blue}{{k}^{0.5}} \cdot {\left(n \cdot \left(2 \cdot \pi\right)\right)}^{\left(k \cdot 0.5\right)}} \]
    7. pow-unpow99.7%

      \[\leadsto \sqrt{\left(2 \cdot n\right) \cdot \pi} \cdot \frac{1}{{k}^{0.5} \cdot \color{blue}{{\left({\left(n \cdot \left(2 \cdot \pi\right)\right)}^{k}\right)}^{0.5}}} \]
    8. pow-prod-down99.7%

      \[\leadsto \sqrt{\left(2 \cdot n\right) \cdot \pi} \cdot \frac{1}{\color{blue}{{\left(k \cdot {\left(n \cdot \left(2 \cdot \pi\right)\right)}^{k}\right)}^{0.5}}} \]
    9. *-commutative99.7%

      \[\leadsto \sqrt{\left(2 \cdot n\right) \cdot \pi} \cdot \frac{1}{{\left(k \cdot {\color{blue}{\left(\left(2 \cdot \pi\right) \cdot n\right)}}^{k}\right)}^{0.5}} \]
    10. associate-*r*99.7%

      \[\leadsto \sqrt{\left(2 \cdot n\right) \cdot \pi} \cdot \frac{1}{{\left(k \cdot {\color{blue}{\left(2 \cdot \left(\pi \cdot n\right)\right)}}^{k}\right)}^{0.5}} \]
    11. *-commutative99.7%

      \[\leadsto \sqrt{\left(2 \cdot n\right) \cdot \pi} \cdot \frac{1}{{\left(k \cdot {\left(2 \cdot \color{blue}{\left(n \cdot \pi\right)}\right)}^{k}\right)}^{0.5}} \]
    12. associate-*r*99.7%

      \[\leadsto \sqrt{\left(2 \cdot n\right) \cdot \pi} \cdot \frac{1}{{\left(k \cdot {\color{blue}{\left(\left(2 \cdot n\right) \cdot \pi\right)}}^{k}\right)}^{0.5}} \]
  8. Applied egg-rr99.7%

    \[\leadsto \color{blue}{\sqrt{\left(2 \cdot n\right) \cdot \pi} \cdot \frac{1}{{\left(k \cdot {\left(\left(2 \cdot n\right) \cdot \pi\right)}^{k}\right)}^{0.5}}} \]
  9. Step-by-step derivation
    1. associate-*r/99.7%

      \[\leadsto \color{blue}{\frac{\sqrt{\left(2 \cdot n\right) \cdot \pi} \cdot 1}{{\left(k \cdot {\left(\left(2 \cdot n\right) \cdot \pi\right)}^{k}\right)}^{0.5}}} \]
    2. *-rgt-identity99.7%

      \[\leadsto \frac{\color{blue}{\sqrt{\left(2 \cdot n\right) \cdot \pi}}}{{\left(k \cdot {\left(\left(2 \cdot n\right) \cdot \pi\right)}^{k}\right)}^{0.5}} \]
    3. *-commutative99.7%

      \[\leadsto \frac{\sqrt{\color{blue}{\pi \cdot \left(2 \cdot n\right)}}}{{\left(k \cdot {\left(\left(2 \cdot n\right) \cdot \pi\right)}^{k}\right)}^{0.5}} \]
    4. *-commutative99.7%

      \[\leadsto \frac{\sqrt{\pi \cdot \color{blue}{\left(n \cdot 2\right)}}}{{\left(k \cdot {\left(\left(2 \cdot n\right) \cdot \pi\right)}^{k}\right)}^{0.5}} \]
    5. unpow1/299.7%

      \[\leadsto \frac{\sqrt{\pi \cdot \left(n \cdot 2\right)}}{\color{blue}{\sqrt{k \cdot {\left(\left(2 \cdot n\right) \cdot \pi\right)}^{k}}}} \]
    6. *-commutative99.7%

      \[\leadsto \frac{\sqrt{\pi \cdot \left(n \cdot 2\right)}}{\sqrt{k \cdot {\color{blue}{\left(\pi \cdot \left(2 \cdot n\right)\right)}}^{k}}} \]
    7. *-commutative99.7%

      \[\leadsto \frac{\sqrt{\pi \cdot \left(n \cdot 2\right)}}{\sqrt{k \cdot {\left(\pi \cdot \color{blue}{\left(n \cdot 2\right)}\right)}^{k}}} \]
  10. Simplified99.7%

    \[\leadsto \color{blue}{\frac{\sqrt{\pi \cdot \left(n \cdot 2\right)}}{\sqrt{k \cdot {\left(\pi \cdot \left(n \cdot 2\right)\right)}^{k}}}} \]
  11. Add Preprocessing

Alternative 2: 99.4% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;k \leq 2.7 \cdot 10^{-20}:\\ \;\;\;\;\sqrt{n} \cdot \sqrt{2 \cdot \frac{\pi}{k}}\\ \mathbf{else}:\\ \;\;\;\;{\left(k \cdot {\left(\pi \cdot \left(n \cdot 2\right)\right)}^{\left(k + -1\right)}\right)}^{-0.5}\\ \end{array} \end{array} \]
(FPCore (k n)
 :precision binary64
 (if (<= k 2.7e-20)
   (* (sqrt n) (sqrt (* 2.0 (/ PI k))))
   (pow (* k (pow (* PI (* n 2.0)) (+ k -1.0))) -0.5)))
double code(double k, double n) {
	double tmp;
	if (k <= 2.7e-20) {
		tmp = sqrt(n) * sqrt((2.0 * (((double) M_PI) / k)));
	} else {
		tmp = pow((k * pow((((double) M_PI) * (n * 2.0)), (k + -1.0))), -0.5);
	}
	return tmp;
}
public static double code(double k, double n) {
	double tmp;
	if (k <= 2.7e-20) {
		tmp = Math.sqrt(n) * Math.sqrt((2.0 * (Math.PI / k)));
	} else {
		tmp = Math.pow((k * Math.pow((Math.PI * (n * 2.0)), (k + -1.0))), -0.5);
	}
	return tmp;
}
def code(k, n):
	tmp = 0
	if k <= 2.7e-20:
		tmp = math.sqrt(n) * math.sqrt((2.0 * (math.pi / k)))
	else:
		tmp = math.pow((k * math.pow((math.pi * (n * 2.0)), (k + -1.0))), -0.5)
	return tmp
function code(k, n)
	tmp = 0.0
	if (k <= 2.7e-20)
		tmp = Float64(sqrt(n) * sqrt(Float64(2.0 * Float64(pi / k))));
	else
		tmp = Float64(k * (Float64(pi * Float64(n * 2.0)) ^ Float64(k + -1.0))) ^ -0.5;
	end
	return tmp
end
function tmp_2 = code(k, n)
	tmp = 0.0;
	if (k <= 2.7e-20)
		tmp = sqrt(n) * sqrt((2.0 * (pi / k)));
	else
		tmp = (k * ((pi * (n * 2.0)) ^ (k + -1.0))) ^ -0.5;
	end
	tmp_2 = tmp;
end
code[k_, n_] := If[LessEqual[k, 2.7e-20], N[(N[Sqrt[n], $MachinePrecision] * N[Sqrt[N[(2.0 * N[(Pi / k), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[Power[N[(k * N[Power[N[(Pi * N[(n * 2.0), $MachinePrecision]), $MachinePrecision], N[(k + -1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], -0.5], $MachinePrecision]]
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;k \leq 2.7 \cdot 10^{-20}:\\
\;\;\;\;\sqrt{n} \cdot \sqrt{2 \cdot \frac{\pi}{k}}\\

\mathbf{else}:\\
\;\;\;\;{\left(k \cdot {\left(\pi \cdot \left(n \cdot 2\right)\right)}^{\left(k + -1\right)}\right)}^{-0.5}\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if k < 2.7e-20

    1. Initial program 99.4%

      \[\frac{1}{\sqrt{k}} \cdot {\left(\left(2 \cdot \pi\right) \cdot n\right)}^{\left(\frac{1 - k}{2}\right)} \]
    2. Add Preprocessing
    3. Taylor expanded in k around 0 69.1%

      \[\leadsto \color{blue}{\sqrt{\frac{n \cdot \pi}{k}} \cdot \sqrt{2}} \]
    4. Step-by-step derivation
      1. *-commutative69.1%

        \[\leadsto \color{blue}{\sqrt{2} \cdot \sqrt{\frac{n \cdot \pi}{k}}} \]
      2. associate-/l*69.1%

        \[\leadsto \sqrt{2} \cdot \sqrt{\color{blue}{n \cdot \frac{\pi}{k}}} \]
    5. Simplified69.1%

      \[\leadsto \color{blue}{\sqrt{2} \cdot \sqrt{n \cdot \frac{\pi}{k}}} \]
    6. Step-by-step derivation
      1. sqrt-unprod69.3%

        \[\leadsto \color{blue}{\sqrt{2 \cdot \left(n \cdot \frac{\pi}{k}\right)}} \]
      2. associate-*r/69.3%

        \[\leadsto \sqrt{2 \cdot \color{blue}{\frac{n \cdot \pi}{k}}} \]
    7. Applied egg-rr69.3%

      \[\leadsto \color{blue}{\sqrt{2 \cdot \frac{n \cdot \pi}{k}}} \]
    8. Step-by-step derivation
      1. *-commutative69.3%

        \[\leadsto \sqrt{2 \cdot \frac{\color{blue}{\pi \cdot n}}{k}} \]
      2. associate-/l*69.3%

        \[\leadsto \sqrt{2 \cdot \color{blue}{\left(\pi \cdot \frac{n}{k}\right)}} \]
    9. Applied egg-rr69.3%

      \[\leadsto \sqrt{2 \cdot \color{blue}{\left(\pi \cdot \frac{n}{k}\right)}} \]
    10. Step-by-step derivation
      1. pow1/269.3%

        \[\leadsto \color{blue}{{\left(2 \cdot \left(\pi \cdot \frac{n}{k}\right)\right)}^{0.5}} \]
      2. associate-*r/69.3%

        \[\leadsto {\left(2 \cdot \color{blue}{\frac{\pi \cdot n}{k}}\right)}^{0.5} \]
      3. associate-*r/69.3%

        \[\leadsto {\color{blue}{\left(\frac{2 \cdot \left(\pi \cdot n\right)}{k}\right)}}^{0.5} \]
      4. *-commutative69.3%

        \[\leadsto {\left(\frac{2 \cdot \color{blue}{\left(n \cdot \pi\right)}}{k}\right)}^{0.5} \]
      5. associate-*l*69.3%

        \[\leadsto {\left(\frac{\color{blue}{\left(2 \cdot n\right) \cdot \pi}}{k}\right)}^{0.5} \]
      6. *-commutative69.3%

        \[\leadsto {\left(\frac{\color{blue}{\left(n \cdot 2\right)} \cdot \pi}{k}\right)}^{0.5} \]
      7. associate-*r/69.3%

        \[\leadsto {\color{blue}{\left(\left(n \cdot 2\right) \cdot \frac{\pi}{k}\right)}}^{0.5} \]
      8. associate-*l*69.3%

        \[\leadsto {\color{blue}{\left(n \cdot \left(2 \cdot \frac{\pi}{k}\right)\right)}}^{0.5} \]
      9. unpow-prod-down99.6%

        \[\leadsto \color{blue}{{n}^{0.5} \cdot {\left(2 \cdot \frac{\pi}{k}\right)}^{0.5}} \]
      10. pow1/299.6%

        \[\leadsto \color{blue}{\sqrt{n}} \cdot {\left(2 \cdot \frac{\pi}{k}\right)}^{0.5} \]
    11. Applied egg-rr99.6%

      \[\leadsto \color{blue}{\sqrt{n} \cdot {\left(2 \cdot \frac{\pi}{k}\right)}^{0.5}} \]
    12. Step-by-step derivation
      1. unpow1/299.6%

        \[\leadsto \sqrt{n} \cdot \color{blue}{\sqrt{2 \cdot \frac{\pi}{k}}} \]
    13. Simplified99.6%

      \[\leadsto \color{blue}{\sqrt{n} \cdot \sqrt{2 \cdot \frac{\pi}{k}}} \]

    if 2.7e-20 < k

    1. Initial program 99.5%

      \[\frac{1}{\sqrt{k}} \cdot {\left(\left(2 \cdot \pi\right) \cdot n\right)}^{\left(\frac{1 - k}{2}\right)} \]
    2. Add Preprocessing
    3. Step-by-step derivation
      1. associate-*l/99.5%

        \[\leadsto \color{blue}{\frac{1 \cdot {\left(\left(2 \cdot \pi\right) \cdot n\right)}^{\left(\frac{1 - k}{2}\right)}}{\sqrt{k}}} \]
      2. *-un-lft-identity99.5%

        \[\leadsto \frac{\color{blue}{{\left(\left(2 \cdot \pi\right) \cdot n\right)}^{\left(\frac{1 - k}{2}\right)}}}{\sqrt{k}} \]
      3. associate-*r*99.5%

        \[\leadsto \frac{{\color{blue}{\left(2 \cdot \left(\pi \cdot n\right)\right)}}^{\left(\frac{1 - k}{2}\right)}}{\sqrt{k}} \]
      4. div-sub99.5%

        \[\leadsto \frac{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\color{blue}{\left(\frac{1}{2} - \frac{k}{2}\right)}}}{\sqrt{k}} \]
      5. metadata-eval99.5%

        \[\leadsto \frac{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(\color{blue}{0.5} - \frac{k}{2}\right)}}{\sqrt{k}} \]
      6. pow-div100.0%

        \[\leadsto \frac{\color{blue}{\frac{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{0.5}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(\frac{k}{2}\right)}}}}{\sqrt{k}} \]
      7. pow1/2100.0%

        \[\leadsto \frac{\frac{\color{blue}{\sqrt{2 \cdot \left(\pi \cdot n\right)}}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(\frac{k}{2}\right)}}}{\sqrt{k}} \]
      8. associate-/l/100.0%

        \[\leadsto \color{blue}{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{\sqrt{k} \cdot {\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(\frac{k}{2}\right)}}} \]
      9. div-inv100.0%

        \[\leadsto \frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{\sqrt{k} \cdot {\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\color{blue}{\left(k \cdot \frac{1}{2}\right)}}} \]
      10. metadata-eval100.0%

        \[\leadsto \frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{\sqrt{k} \cdot {\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot \color{blue}{0.5}\right)}} \]
    4. Applied egg-rr100.0%

      \[\leadsto \color{blue}{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{\sqrt{k} \cdot {\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}} \]
    5. Step-by-step derivation
      1. associate-/l/100.0%

        \[\leadsto \color{blue}{\frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\sqrt{k}}} \]
      2. rem-square-sqrt100.0%

        \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\sqrt{\color{blue}{\sqrt{k} \cdot \sqrt{k}}}} \]
      3. rem-sqrt-square100.0%

        \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\color{blue}{\left|\sqrt{k}\right|}} \]
      4. fabs-neg100.0%

        \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\color{blue}{\left|-\sqrt{k}\right|}} \]
      5. neg-mul-1100.0%

        \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\left|\color{blue}{-1 \cdot \sqrt{k}}\right|} \]
      6. rem-square-sqrt0.0%

        \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\left|\color{blue}{\left(\sqrt{-1} \cdot \sqrt{-1}\right)} \cdot \sqrt{k}\right|} \]
      7. unpow1/20.0%

        \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\left|\left(\sqrt{-1} \cdot \sqrt{-1}\right) \cdot \color{blue}{{k}^{0.5}}\right|} \]
      8. metadata-eval0.0%

        \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\left|\left(\sqrt{-1} \cdot \sqrt{-1}\right) \cdot {k}^{\color{blue}{\left(2 \cdot 0.25\right)}}\right|} \]
      9. pow-sqr0.0%

        \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\left|\left(\sqrt{-1} \cdot \sqrt{-1}\right) \cdot \color{blue}{\left({k}^{0.25} \cdot {k}^{0.25}\right)}\right|} \]
      10. unswap-sqr0.0%

        \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\left|\color{blue}{\left(\sqrt{-1} \cdot {k}^{0.25}\right) \cdot \left(\sqrt{-1} \cdot {k}^{0.25}\right)}\right|} \]
      11. fabs-sqr0.0%

        \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\color{blue}{\left(\sqrt{-1} \cdot {k}^{0.25}\right) \cdot \left(\sqrt{-1} \cdot {k}^{0.25}\right)}} \]
      12. unswap-sqr0.0%

        \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\color{blue}{\left(\sqrt{-1} \cdot \sqrt{-1}\right) \cdot \left({k}^{0.25} \cdot {k}^{0.25}\right)}} \]
      13. rem-square-sqrt42.4%

        \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\color{blue}{-1} \cdot \left({k}^{0.25} \cdot {k}^{0.25}\right)} \]
      14. pow-sqr42.4%

        \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{-1 \cdot \color{blue}{{k}^{\left(2 \cdot 0.25\right)}}} \]
      15. metadata-eval42.4%

        \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{-1 \cdot {k}^{\color{blue}{0.5}}} \]
      16. unpow1/242.4%

        \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{-1 \cdot \color{blue}{\sqrt{k}}} \]
      17. neg-mul-142.4%

        \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\color{blue}{-\sqrt{k}}} \]
      18. associate-/r*42.4%

        \[\leadsto \color{blue}{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)} \cdot \left(-\sqrt{k}\right)}} \]
    6. Simplified100.0%

      \[\leadsto \color{blue}{\frac{\sqrt{n \cdot \left(2 \cdot \pi\right)}}{\sqrt{k} \cdot {\left(n \cdot \left(2 \cdot \pi\right)\right)}^{\left(k \cdot 0.5\right)}}} \]
    7. Step-by-step derivation
      1. div-inv99.9%

        \[\leadsto \color{blue}{\sqrt{n \cdot \left(2 \cdot \pi\right)} \cdot \frac{1}{\sqrt{k} \cdot {\left(n \cdot \left(2 \cdot \pi\right)\right)}^{\left(k \cdot 0.5\right)}}} \]
      2. *-commutative99.9%

        \[\leadsto \sqrt{\color{blue}{\left(2 \cdot \pi\right) \cdot n}} \cdot \frac{1}{\sqrt{k} \cdot {\left(n \cdot \left(2 \cdot \pi\right)\right)}^{\left(k \cdot 0.5\right)}} \]
      3. associate-*r*99.9%

        \[\leadsto \sqrt{\color{blue}{2 \cdot \left(\pi \cdot n\right)}} \cdot \frac{1}{\sqrt{k} \cdot {\left(n \cdot \left(2 \cdot \pi\right)\right)}^{\left(k \cdot 0.5\right)}} \]
      4. *-commutative99.9%

        \[\leadsto \sqrt{2 \cdot \color{blue}{\left(n \cdot \pi\right)}} \cdot \frac{1}{\sqrt{k} \cdot {\left(n \cdot \left(2 \cdot \pi\right)\right)}^{\left(k \cdot 0.5\right)}} \]
      5. associate-*r*99.9%

        \[\leadsto \sqrt{\color{blue}{\left(2 \cdot n\right) \cdot \pi}} \cdot \frac{1}{\sqrt{k} \cdot {\left(n \cdot \left(2 \cdot \pi\right)\right)}^{\left(k \cdot 0.5\right)}} \]
      6. pow1/299.9%

        \[\leadsto \sqrt{\left(2 \cdot n\right) \cdot \pi} \cdot \frac{1}{\color{blue}{{k}^{0.5}} \cdot {\left(n \cdot \left(2 \cdot \pi\right)\right)}^{\left(k \cdot 0.5\right)}} \]
      7. pow-unpow99.9%

        \[\leadsto \sqrt{\left(2 \cdot n\right) \cdot \pi} \cdot \frac{1}{{k}^{0.5} \cdot \color{blue}{{\left({\left(n \cdot \left(2 \cdot \pi\right)\right)}^{k}\right)}^{0.5}}} \]
      8. pow-prod-down99.9%

        \[\leadsto \sqrt{\left(2 \cdot n\right) \cdot \pi} \cdot \frac{1}{\color{blue}{{\left(k \cdot {\left(n \cdot \left(2 \cdot \pi\right)\right)}^{k}\right)}^{0.5}}} \]
      9. *-commutative99.9%

        \[\leadsto \sqrt{\left(2 \cdot n\right) \cdot \pi} \cdot \frac{1}{{\left(k \cdot {\color{blue}{\left(\left(2 \cdot \pi\right) \cdot n\right)}}^{k}\right)}^{0.5}} \]
      10. associate-*r*99.9%

        \[\leadsto \sqrt{\left(2 \cdot n\right) \cdot \pi} \cdot \frac{1}{{\left(k \cdot {\color{blue}{\left(2 \cdot \left(\pi \cdot n\right)\right)}}^{k}\right)}^{0.5}} \]
      11. *-commutative99.9%

        \[\leadsto \sqrt{\left(2 \cdot n\right) \cdot \pi} \cdot \frac{1}{{\left(k \cdot {\left(2 \cdot \color{blue}{\left(n \cdot \pi\right)}\right)}^{k}\right)}^{0.5}} \]
      12. associate-*r*99.9%

        \[\leadsto \sqrt{\left(2 \cdot n\right) \cdot \pi} \cdot \frac{1}{{\left(k \cdot {\color{blue}{\left(\left(2 \cdot n\right) \cdot \pi\right)}}^{k}\right)}^{0.5}} \]
    8. Applied egg-rr99.9%

      \[\leadsto \color{blue}{\sqrt{\left(2 \cdot n\right) \cdot \pi} \cdot \frac{1}{{\left(k \cdot {\left(\left(2 \cdot n\right) \cdot \pi\right)}^{k}\right)}^{0.5}}} \]
    9. Step-by-step derivation
      1. associate-*r/100.0%

        \[\leadsto \color{blue}{\frac{\sqrt{\left(2 \cdot n\right) \cdot \pi} \cdot 1}{{\left(k \cdot {\left(\left(2 \cdot n\right) \cdot \pi\right)}^{k}\right)}^{0.5}}} \]
      2. *-rgt-identity100.0%

        \[\leadsto \frac{\color{blue}{\sqrt{\left(2 \cdot n\right) \cdot \pi}}}{{\left(k \cdot {\left(\left(2 \cdot n\right) \cdot \pi\right)}^{k}\right)}^{0.5}} \]
      3. *-commutative100.0%

        \[\leadsto \frac{\sqrt{\color{blue}{\pi \cdot \left(2 \cdot n\right)}}}{{\left(k \cdot {\left(\left(2 \cdot n\right) \cdot \pi\right)}^{k}\right)}^{0.5}} \]
      4. *-commutative100.0%

        \[\leadsto \frac{\sqrt{\pi \cdot \color{blue}{\left(n \cdot 2\right)}}}{{\left(k \cdot {\left(\left(2 \cdot n\right) \cdot \pi\right)}^{k}\right)}^{0.5}} \]
      5. unpow1/2100.0%

        \[\leadsto \frac{\sqrt{\pi \cdot \left(n \cdot 2\right)}}{\color{blue}{\sqrt{k \cdot {\left(\left(2 \cdot n\right) \cdot \pi\right)}^{k}}}} \]
      6. *-commutative100.0%

        \[\leadsto \frac{\sqrt{\pi \cdot \left(n \cdot 2\right)}}{\sqrt{k \cdot {\color{blue}{\left(\pi \cdot \left(2 \cdot n\right)\right)}}^{k}}} \]
      7. *-commutative100.0%

        \[\leadsto \frac{\sqrt{\pi \cdot \left(n \cdot 2\right)}}{\sqrt{k \cdot {\left(\pi \cdot \color{blue}{\left(n \cdot 2\right)}\right)}^{k}}} \]
    10. Simplified100.0%

      \[\leadsto \color{blue}{\frac{\sqrt{\pi \cdot \left(n \cdot 2\right)}}{\sqrt{k \cdot {\left(\pi \cdot \left(n \cdot 2\right)\right)}^{k}}}} \]
    11. Step-by-step derivation
      1. clear-num100.0%

        \[\leadsto \color{blue}{\frac{1}{\frac{\sqrt{k \cdot {\left(\pi \cdot \left(n \cdot 2\right)\right)}^{k}}}{\sqrt{\pi \cdot \left(n \cdot 2\right)}}}} \]
      2. inv-pow100.0%

        \[\leadsto \color{blue}{{\left(\frac{\sqrt{k \cdot {\left(\pi \cdot \left(n \cdot 2\right)\right)}^{k}}}{\sqrt{\pi \cdot \left(n \cdot 2\right)}}\right)}^{-1}} \]
      3. sqrt-undiv99.9%

        \[\leadsto {\color{blue}{\left(\sqrt{\frac{k \cdot {\left(\pi \cdot \left(n \cdot 2\right)\right)}^{k}}{\pi \cdot \left(n \cdot 2\right)}}\right)}}^{-1} \]
    12. Applied egg-rr99.9%

      \[\leadsto \color{blue}{{\left(\sqrt{\frac{k \cdot {\left(\pi \cdot \left(n \cdot 2\right)\right)}^{k}}{\pi \cdot \left(n \cdot 2\right)}}\right)}^{-1}} \]
    13. Step-by-step derivation
      1. unpow-199.9%

        \[\leadsto \color{blue}{\frac{1}{\sqrt{\frac{k \cdot {\left(\pi \cdot \left(n \cdot 2\right)\right)}^{k}}{\pi \cdot \left(n \cdot 2\right)}}}} \]
      2. associate-/l*99.9%

        \[\leadsto \frac{1}{\sqrt{\color{blue}{k \cdot \frac{{\left(\pi \cdot \left(n \cdot 2\right)\right)}^{k}}{\pi \cdot \left(n \cdot 2\right)}}}} \]
    14. Simplified99.9%

      \[\leadsto \color{blue}{\frac{1}{\sqrt{k \cdot \frac{{\left(\pi \cdot \left(n \cdot 2\right)\right)}^{k}}{\pi \cdot \left(n \cdot 2\right)}}}} \]
    15. Step-by-step derivation
      1. inv-pow99.9%

        \[\leadsto \color{blue}{{\left(\sqrt{k \cdot \frac{{\left(\pi \cdot \left(n \cdot 2\right)\right)}^{k}}{\pi \cdot \left(n \cdot 2\right)}}\right)}^{-1}} \]
      2. sqrt-pow2100.0%

        \[\leadsto \color{blue}{{\left(k \cdot \frac{{\left(\pi \cdot \left(n \cdot 2\right)\right)}^{k}}{\pi \cdot \left(n \cdot 2\right)}\right)}^{\left(\frac{-1}{2}\right)}} \]
      3. pow1100.0%

        \[\leadsto {\left(k \cdot \frac{{\left(\pi \cdot \left(n \cdot 2\right)\right)}^{k}}{\color{blue}{{\left(\pi \cdot \left(n \cdot 2\right)\right)}^{1}}}\right)}^{\left(\frac{-1}{2}\right)} \]
      4. pow-div99.5%

        \[\leadsto {\left(k \cdot \color{blue}{{\left(\pi \cdot \left(n \cdot 2\right)\right)}^{\left(k - 1\right)}}\right)}^{\left(\frac{-1}{2}\right)} \]
      5. metadata-eval99.5%

        \[\leadsto {\left(k \cdot {\left(\pi \cdot \left(n \cdot 2\right)\right)}^{\left(k - 1\right)}\right)}^{\color{blue}{-0.5}} \]
    16. Applied egg-rr99.5%

      \[\leadsto \color{blue}{{\left(k \cdot {\left(\pi \cdot \left(n \cdot 2\right)\right)}^{\left(k - 1\right)}\right)}^{-0.5}} \]
  3. Recombined 2 regimes into one program.
  4. Final simplification99.6%

    \[\leadsto \begin{array}{l} \mathbf{if}\;k \leq 2.7 \cdot 10^{-20}:\\ \;\;\;\;\sqrt{n} \cdot \sqrt{2 \cdot \frac{\pi}{k}}\\ \mathbf{else}:\\ \;\;\;\;{\left(k \cdot {\left(\pi \cdot \left(n \cdot 2\right)\right)}^{\left(k + -1\right)}\right)}^{-0.5}\\ \end{array} \]
  5. Add Preprocessing

Alternative 3: 60.7% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;k \leq 4.5 \cdot 10^{+19}:\\ \;\;\;\;\sqrt{n} \cdot \sqrt{2 \cdot \frac{\pi}{k}}\\ \mathbf{else}:\\ \;\;\;\;\sqrt{1 + \mathsf{fma}\left(n, \frac{2}{\frac{k}{\pi}}, -1\right)}\\ \end{array} \end{array} \]
(FPCore (k n)
 :precision binary64
 (if (<= k 4.5e+19)
   (* (sqrt n) (sqrt (* 2.0 (/ PI k))))
   (sqrt (+ 1.0 (fma n (/ 2.0 (/ k PI)) -1.0)))))
double code(double k, double n) {
	double tmp;
	if (k <= 4.5e+19) {
		tmp = sqrt(n) * sqrt((2.0 * (((double) M_PI) / k)));
	} else {
		tmp = sqrt((1.0 + fma(n, (2.0 / (k / ((double) M_PI))), -1.0)));
	}
	return tmp;
}
function code(k, n)
	tmp = 0.0
	if (k <= 4.5e+19)
		tmp = Float64(sqrt(n) * sqrt(Float64(2.0 * Float64(pi / k))));
	else
		tmp = sqrt(Float64(1.0 + fma(n, Float64(2.0 / Float64(k / pi)), -1.0)));
	end
	return tmp
end
code[k_, n_] := If[LessEqual[k, 4.5e+19], N[(N[Sqrt[n], $MachinePrecision] * N[Sqrt[N[(2.0 * N[(Pi / k), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[Sqrt[N[(1.0 + N[(n * N[(2.0 / N[(k / Pi), $MachinePrecision]), $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;k \leq 4.5 \cdot 10^{+19}:\\
\;\;\;\;\sqrt{n} \cdot \sqrt{2 \cdot \frac{\pi}{k}}\\

\mathbf{else}:\\
\;\;\;\;\sqrt{1 + \mathsf{fma}\left(n, \frac{2}{\frac{k}{\pi}}, -1\right)}\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if k < 4.5e19

    1. Initial program 99.1%

      \[\frac{1}{\sqrt{k}} \cdot {\left(\left(2 \cdot \pi\right) \cdot n\right)}^{\left(\frac{1 - k}{2}\right)} \]
    2. Add Preprocessing
    3. Taylor expanded in k around 0 66.3%

      \[\leadsto \color{blue}{\sqrt{\frac{n \cdot \pi}{k}} \cdot \sqrt{2}} \]
    4. Step-by-step derivation
      1. *-commutative66.3%

        \[\leadsto \color{blue}{\sqrt{2} \cdot \sqrt{\frac{n \cdot \pi}{k}}} \]
      2. associate-/l*66.3%

        \[\leadsto \sqrt{2} \cdot \sqrt{\color{blue}{n \cdot \frac{\pi}{k}}} \]
    5. Simplified66.3%

      \[\leadsto \color{blue}{\sqrt{2} \cdot \sqrt{n \cdot \frac{\pi}{k}}} \]
    6. Step-by-step derivation
      1. sqrt-unprod66.5%

        \[\leadsto \color{blue}{\sqrt{2 \cdot \left(n \cdot \frac{\pi}{k}\right)}} \]
      2. associate-*r/66.5%

        \[\leadsto \sqrt{2 \cdot \color{blue}{\frac{n \cdot \pi}{k}}} \]
    7. Applied egg-rr66.5%

      \[\leadsto \color{blue}{\sqrt{2 \cdot \frac{n \cdot \pi}{k}}} \]
    8. Step-by-step derivation
      1. *-commutative66.5%

        \[\leadsto \sqrt{2 \cdot \frac{\color{blue}{\pi \cdot n}}{k}} \]
      2. associate-/l*66.5%

        \[\leadsto \sqrt{2 \cdot \color{blue}{\left(\pi \cdot \frac{n}{k}\right)}} \]
    9. Applied egg-rr66.5%

      \[\leadsto \sqrt{2 \cdot \color{blue}{\left(\pi \cdot \frac{n}{k}\right)}} \]
    10. Step-by-step derivation
      1. pow1/266.5%

        \[\leadsto \color{blue}{{\left(2 \cdot \left(\pi \cdot \frac{n}{k}\right)\right)}^{0.5}} \]
      2. associate-*r/66.5%

        \[\leadsto {\left(2 \cdot \color{blue}{\frac{\pi \cdot n}{k}}\right)}^{0.5} \]
      3. associate-*r/66.5%

        \[\leadsto {\color{blue}{\left(\frac{2 \cdot \left(\pi \cdot n\right)}{k}\right)}}^{0.5} \]
      4. *-commutative66.5%

        \[\leadsto {\left(\frac{2 \cdot \color{blue}{\left(n \cdot \pi\right)}}{k}\right)}^{0.5} \]
      5. associate-*l*66.5%

        \[\leadsto {\left(\frac{\color{blue}{\left(2 \cdot n\right) \cdot \pi}}{k}\right)}^{0.5} \]
      6. *-commutative66.5%

        \[\leadsto {\left(\frac{\color{blue}{\left(n \cdot 2\right)} \cdot \pi}{k}\right)}^{0.5} \]
      7. associate-*r/66.5%

        \[\leadsto {\color{blue}{\left(\left(n \cdot 2\right) \cdot \frac{\pi}{k}\right)}}^{0.5} \]
      8. associate-*l*66.5%

        \[\leadsto {\color{blue}{\left(n \cdot \left(2 \cdot \frac{\pi}{k}\right)\right)}}^{0.5} \]
      9. unpow-prod-down93.5%

        \[\leadsto \color{blue}{{n}^{0.5} \cdot {\left(2 \cdot \frac{\pi}{k}\right)}^{0.5}} \]
      10. pow1/293.5%

        \[\leadsto \color{blue}{\sqrt{n}} \cdot {\left(2 \cdot \frac{\pi}{k}\right)}^{0.5} \]
    11. Applied egg-rr93.5%

      \[\leadsto \color{blue}{\sqrt{n} \cdot {\left(2 \cdot \frac{\pi}{k}\right)}^{0.5}} \]
    12. Step-by-step derivation
      1. unpow1/293.5%

        \[\leadsto \sqrt{n} \cdot \color{blue}{\sqrt{2 \cdot \frac{\pi}{k}}} \]
    13. Simplified93.5%

      \[\leadsto \color{blue}{\sqrt{n} \cdot \sqrt{2 \cdot \frac{\pi}{k}}} \]

    if 4.5e19 < k

    1. Initial program 100.0%

      \[\frac{1}{\sqrt{k}} \cdot {\left(\left(2 \cdot \pi\right) \cdot n\right)}^{\left(\frac{1 - k}{2}\right)} \]
    2. Add Preprocessing
    3. Taylor expanded in k around 0 2.6%

      \[\leadsto \color{blue}{\sqrt{\frac{n \cdot \pi}{k}} \cdot \sqrt{2}} \]
    4. Step-by-step derivation
      1. *-commutative2.6%

        \[\leadsto \color{blue}{\sqrt{2} \cdot \sqrt{\frac{n \cdot \pi}{k}}} \]
      2. associate-/l*2.6%

        \[\leadsto \sqrt{2} \cdot \sqrt{\color{blue}{n \cdot \frac{\pi}{k}}} \]
    5. Simplified2.6%

      \[\leadsto \color{blue}{\sqrt{2} \cdot \sqrt{n \cdot \frac{\pi}{k}}} \]
    6. Step-by-step derivation
      1. sqrt-unprod2.6%

        \[\leadsto \color{blue}{\sqrt{2 \cdot \left(n \cdot \frac{\pi}{k}\right)}} \]
      2. associate-*r/2.6%

        \[\leadsto \sqrt{2 \cdot \color{blue}{\frac{n \cdot \pi}{k}}} \]
    7. Applied egg-rr2.6%

      \[\leadsto \color{blue}{\sqrt{2 \cdot \frac{n \cdot \pi}{k}}} \]
    8. Step-by-step derivation
      1. *-commutative2.6%

        \[\leadsto \sqrt{2 \cdot \frac{\color{blue}{\pi \cdot n}}{k}} \]
      2. associate-/l*2.6%

        \[\leadsto \sqrt{2 \cdot \color{blue}{\left(\pi \cdot \frac{n}{k}\right)}} \]
    9. Applied egg-rr2.6%

      \[\leadsto \sqrt{2 \cdot \color{blue}{\left(\pi \cdot \frac{n}{k}\right)}} \]
    10. Step-by-step derivation
      1. associate-*r/2.6%

        \[\leadsto \sqrt{2 \cdot \color{blue}{\frac{\pi \cdot n}{k}}} \]
      2. *-un-lft-identity2.6%

        \[\leadsto \sqrt{2 \cdot \frac{\color{blue}{1 \cdot \left(\pi \cdot n\right)}}{k}} \]
      3. associate-*l/2.6%

        \[\leadsto \sqrt{2 \cdot \color{blue}{\left(\frac{1}{k} \cdot \left(\pi \cdot n\right)\right)}} \]
      4. expm1-log1p-u2.6%

        \[\leadsto \sqrt{\color{blue}{\mathsf{expm1}\left(\mathsf{log1p}\left(2 \cdot \left(\frac{1}{k} \cdot \left(\pi \cdot n\right)\right)\right)\right)}} \]
      5. expm1-undefine26.7%

        \[\leadsto \sqrt{\color{blue}{e^{\mathsf{log1p}\left(2 \cdot \left(\frac{1}{k} \cdot \left(\pi \cdot n\right)\right)\right)} - 1}} \]
      6. *-commutative26.7%

        \[\leadsto \sqrt{e^{\mathsf{log1p}\left(\color{blue}{\left(\frac{1}{k} \cdot \left(\pi \cdot n\right)\right) \cdot 2}\right)} - 1} \]
      7. associate-*l/26.7%

        \[\leadsto \sqrt{e^{\mathsf{log1p}\left(\color{blue}{\frac{1 \cdot \left(\pi \cdot n\right)}{k}} \cdot 2\right)} - 1} \]
      8. *-un-lft-identity26.7%

        \[\leadsto \sqrt{e^{\mathsf{log1p}\left(\frac{\color{blue}{\pi \cdot n}}{k} \cdot 2\right)} - 1} \]
      9. associate-*r/26.7%

        \[\leadsto \sqrt{e^{\mathsf{log1p}\left(\color{blue}{\left(\pi \cdot \frac{n}{k}\right)} \cdot 2\right)} - 1} \]
      10. associate-*l*26.7%

        \[\leadsto \sqrt{e^{\mathsf{log1p}\left(\color{blue}{\pi \cdot \left(\frac{n}{k} \cdot 2\right)}\right)} - 1} \]
    11. Applied egg-rr26.7%

      \[\leadsto \sqrt{\color{blue}{e^{\mathsf{log1p}\left(\pi \cdot \left(\frac{n}{k} \cdot 2\right)\right)} - 1}} \]
    12. Step-by-step derivation
      1. log1p-undefine26.7%

        \[\leadsto \sqrt{e^{\color{blue}{\log \left(1 + \pi \cdot \left(\frac{n}{k} \cdot 2\right)\right)}} - 1} \]
      2. rem-exp-log26.7%

        \[\leadsto \sqrt{\color{blue}{\left(1 + \pi \cdot \left(\frac{n}{k} \cdot 2\right)\right)} - 1} \]
      3. associate-+r-26.7%

        \[\leadsto \sqrt{\color{blue}{1 + \left(\pi \cdot \left(\frac{n}{k} \cdot 2\right) - 1\right)}} \]
      4. *-commutative26.7%

        \[\leadsto \sqrt{1 + \left(\color{blue}{\left(\frac{n}{k} \cdot 2\right) \cdot \pi} - 1\right)} \]
      5. associate-*l/26.7%

        \[\leadsto \sqrt{1 + \left(\color{blue}{\frac{n \cdot 2}{k}} \cdot \pi - 1\right)} \]
      6. associate-/r/26.7%

        \[\leadsto \sqrt{1 + \left(\color{blue}{\frac{n \cdot 2}{\frac{k}{\pi}}} - 1\right)} \]
      7. associate-/l*26.7%

        \[\leadsto \sqrt{1 + \left(\color{blue}{n \cdot \frac{2}{\frac{k}{\pi}}} - 1\right)} \]
      8. fma-neg26.7%

        \[\leadsto \sqrt{1 + \color{blue}{\mathsf{fma}\left(n, \frac{2}{\frac{k}{\pi}}, -1\right)}} \]
      9. metadata-eval26.7%

        \[\leadsto \sqrt{1 + \mathsf{fma}\left(n, \frac{2}{\frac{k}{\pi}}, \color{blue}{-1}\right)} \]
    13. Simplified26.7%

      \[\leadsto \sqrt{\color{blue}{1 + \mathsf{fma}\left(n, \frac{2}{\frac{k}{\pi}}, -1\right)}} \]
  3. Recombined 2 regimes into one program.
  4. Add Preprocessing

Alternative 4: 60.7% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;k \leq 4.5 \cdot 10^{+19}:\\ \;\;\;\;\sqrt{n} \cdot \sqrt{2 \cdot \frac{\pi}{k}}\\ \mathbf{else}:\\ \;\;\;\;\sqrt{-1 + \mathsf{fma}\left(\pi, \frac{n \cdot 2}{k}, 1\right)}\\ \end{array} \end{array} \]
(FPCore (k n)
 :precision binary64
 (if (<= k 4.5e+19)
   (* (sqrt n) (sqrt (* 2.0 (/ PI k))))
   (sqrt (+ -1.0 (fma PI (/ (* n 2.0) k) 1.0)))))
double code(double k, double n) {
	double tmp;
	if (k <= 4.5e+19) {
		tmp = sqrt(n) * sqrt((2.0 * (((double) M_PI) / k)));
	} else {
		tmp = sqrt((-1.0 + fma(((double) M_PI), ((n * 2.0) / k), 1.0)));
	}
	return tmp;
}
function code(k, n)
	tmp = 0.0
	if (k <= 4.5e+19)
		tmp = Float64(sqrt(n) * sqrt(Float64(2.0 * Float64(pi / k))));
	else
		tmp = sqrt(Float64(-1.0 + fma(pi, Float64(Float64(n * 2.0) / k), 1.0)));
	end
	return tmp
end
code[k_, n_] := If[LessEqual[k, 4.5e+19], N[(N[Sqrt[n], $MachinePrecision] * N[Sqrt[N[(2.0 * N[(Pi / k), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[Sqrt[N[(-1.0 + N[(Pi * N[(N[(n * 2.0), $MachinePrecision] / k), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;k \leq 4.5 \cdot 10^{+19}:\\
\;\;\;\;\sqrt{n} \cdot \sqrt{2 \cdot \frac{\pi}{k}}\\

\mathbf{else}:\\
\;\;\;\;\sqrt{-1 + \mathsf{fma}\left(\pi, \frac{n \cdot 2}{k}, 1\right)}\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if k < 4.5e19

    1. Initial program 99.1%

      \[\frac{1}{\sqrt{k}} \cdot {\left(\left(2 \cdot \pi\right) \cdot n\right)}^{\left(\frac{1 - k}{2}\right)} \]
    2. Add Preprocessing
    3. Taylor expanded in k around 0 66.3%

      \[\leadsto \color{blue}{\sqrt{\frac{n \cdot \pi}{k}} \cdot \sqrt{2}} \]
    4. Step-by-step derivation
      1. *-commutative66.3%

        \[\leadsto \color{blue}{\sqrt{2} \cdot \sqrt{\frac{n \cdot \pi}{k}}} \]
      2. associate-/l*66.3%

        \[\leadsto \sqrt{2} \cdot \sqrt{\color{blue}{n \cdot \frac{\pi}{k}}} \]
    5. Simplified66.3%

      \[\leadsto \color{blue}{\sqrt{2} \cdot \sqrt{n \cdot \frac{\pi}{k}}} \]
    6. Step-by-step derivation
      1. sqrt-unprod66.5%

        \[\leadsto \color{blue}{\sqrt{2 \cdot \left(n \cdot \frac{\pi}{k}\right)}} \]
      2. associate-*r/66.5%

        \[\leadsto \sqrt{2 \cdot \color{blue}{\frac{n \cdot \pi}{k}}} \]
    7. Applied egg-rr66.5%

      \[\leadsto \color{blue}{\sqrt{2 \cdot \frac{n \cdot \pi}{k}}} \]
    8. Step-by-step derivation
      1. *-commutative66.5%

        \[\leadsto \sqrt{2 \cdot \frac{\color{blue}{\pi \cdot n}}{k}} \]
      2. associate-/l*66.5%

        \[\leadsto \sqrt{2 \cdot \color{blue}{\left(\pi \cdot \frac{n}{k}\right)}} \]
    9. Applied egg-rr66.5%

      \[\leadsto \sqrt{2 \cdot \color{blue}{\left(\pi \cdot \frac{n}{k}\right)}} \]
    10. Step-by-step derivation
      1. pow1/266.5%

        \[\leadsto \color{blue}{{\left(2 \cdot \left(\pi \cdot \frac{n}{k}\right)\right)}^{0.5}} \]
      2. associate-*r/66.5%

        \[\leadsto {\left(2 \cdot \color{blue}{\frac{\pi \cdot n}{k}}\right)}^{0.5} \]
      3. associate-*r/66.5%

        \[\leadsto {\color{blue}{\left(\frac{2 \cdot \left(\pi \cdot n\right)}{k}\right)}}^{0.5} \]
      4. *-commutative66.5%

        \[\leadsto {\left(\frac{2 \cdot \color{blue}{\left(n \cdot \pi\right)}}{k}\right)}^{0.5} \]
      5. associate-*l*66.5%

        \[\leadsto {\left(\frac{\color{blue}{\left(2 \cdot n\right) \cdot \pi}}{k}\right)}^{0.5} \]
      6. *-commutative66.5%

        \[\leadsto {\left(\frac{\color{blue}{\left(n \cdot 2\right)} \cdot \pi}{k}\right)}^{0.5} \]
      7. associate-*r/66.5%

        \[\leadsto {\color{blue}{\left(\left(n \cdot 2\right) \cdot \frac{\pi}{k}\right)}}^{0.5} \]
      8. associate-*l*66.5%

        \[\leadsto {\color{blue}{\left(n \cdot \left(2 \cdot \frac{\pi}{k}\right)\right)}}^{0.5} \]
      9. unpow-prod-down93.5%

        \[\leadsto \color{blue}{{n}^{0.5} \cdot {\left(2 \cdot \frac{\pi}{k}\right)}^{0.5}} \]
      10. pow1/293.5%

        \[\leadsto \color{blue}{\sqrt{n}} \cdot {\left(2 \cdot \frac{\pi}{k}\right)}^{0.5} \]
    11. Applied egg-rr93.5%

      \[\leadsto \color{blue}{\sqrt{n} \cdot {\left(2 \cdot \frac{\pi}{k}\right)}^{0.5}} \]
    12. Step-by-step derivation
      1. unpow1/293.5%

        \[\leadsto \sqrt{n} \cdot \color{blue}{\sqrt{2 \cdot \frac{\pi}{k}}} \]
    13. Simplified93.5%

      \[\leadsto \color{blue}{\sqrt{n} \cdot \sqrt{2 \cdot \frac{\pi}{k}}} \]

    if 4.5e19 < k

    1. Initial program 100.0%

      \[\frac{1}{\sqrt{k}} \cdot {\left(\left(2 \cdot \pi\right) \cdot n\right)}^{\left(\frac{1 - k}{2}\right)} \]
    2. Add Preprocessing
    3. Taylor expanded in k around 0 2.6%

      \[\leadsto \color{blue}{\sqrt{\frac{n \cdot \pi}{k}} \cdot \sqrt{2}} \]
    4. Step-by-step derivation
      1. *-commutative2.6%

        \[\leadsto \color{blue}{\sqrt{2} \cdot \sqrt{\frac{n \cdot \pi}{k}}} \]
      2. associate-/l*2.6%

        \[\leadsto \sqrt{2} \cdot \sqrt{\color{blue}{n \cdot \frac{\pi}{k}}} \]
    5. Simplified2.6%

      \[\leadsto \color{blue}{\sqrt{2} \cdot \sqrt{n \cdot \frac{\pi}{k}}} \]
    6. Step-by-step derivation
      1. sqrt-unprod2.6%

        \[\leadsto \color{blue}{\sqrt{2 \cdot \left(n \cdot \frac{\pi}{k}\right)}} \]
      2. associate-*r/2.6%

        \[\leadsto \sqrt{2 \cdot \color{blue}{\frac{n \cdot \pi}{k}}} \]
    7. Applied egg-rr2.6%

      \[\leadsto \color{blue}{\sqrt{2 \cdot \frac{n \cdot \pi}{k}}} \]
    8. Step-by-step derivation
      1. expm1-log1p-u2.6%

        \[\leadsto \sqrt{\color{blue}{\mathsf{expm1}\left(\mathsf{log1p}\left(2 \cdot \frac{n \cdot \pi}{k}\right)\right)}} \]
      2. expm1-undefine26.7%

        \[\leadsto \sqrt{\color{blue}{e^{\mathsf{log1p}\left(2 \cdot \frac{n \cdot \pi}{k}\right)} - 1}} \]
      3. associate-/l*26.7%

        \[\leadsto \sqrt{e^{\mathsf{log1p}\left(2 \cdot \color{blue}{\left(n \cdot \frac{\pi}{k}\right)}\right)} - 1} \]
      4. associate-*r*26.7%

        \[\leadsto \sqrt{e^{\mathsf{log1p}\left(\color{blue}{\left(2 \cdot n\right) \cdot \frac{\pi}{k}}\right)} - 1} \]
      5. *-commutative26.7%

        \[\leadsto \sqrt{e^{\mathsf{log1p}\left(\color{blue}{\left(n \cdot 2\right)} \cdot \frac{\pi}{k}\right)} - 1} \]
    9. Applied egg-rr26.7%

      \[\leadsto \sqrt{\color{blue}{e^{\mathsf{log1p}\left(\left(n \cdot 2\right) \cdot \frac{\pi}{k}\right)} - 1}} \]
    10. Step-by-step derivation
      1. sub-neg26.7%

        \[\leadsto \sqrt{\color{blue}{e^{\mathsf{log1p}\left(\left(n \cdot 2\right) \cdot \frac{\pi}{k}\right)} + \left(-1\right)}} \]
      2. metadata-eval26.7%

        \[\leadsto \sqrt{e^{\mathsf{log1p}\left(\left(n \cdot 2\right) \cdot \frac{\pi}{k}\right)} + \color{blue}{-1}} \]
      3. +-commutative26.7%

        \[\leadsto \sqrt{\color{blue}{-1 + e^{\mathsf{log1p}\left(\left(n \cdot 2\right) \cdot \frac{\pi}{k}\right)}}} \]
      4. log1p-undefine26.7%

        \[\leadsto \sqrt{-1 + e^{\color{blue}{\log \left(1 + \left(n \cdot 2\right) \cdot \frac{\pi}{k}\right)}}} \]
      5. rem-exp-log26.7%

        \[\leadsto \sqrt{-1 + \color{blue}{\left(1 + \left(n \cdot 2\right) \cdot \frac{\pi}{k}\right)}} \]
      6. +-commutative26.7%

        \[\leadsto \sqrt{-1 + \color{blue}{\left(\left(n \cdot 2\right) \cdot \frac{\pi}{k} + 1\right)}} \]
      7. associate-*r/26.7%

        \[\leadsto \sqrt{-1 + \left(\color{blue}{\frac{\left(n \cdot 2\right) \cdot \pi}{k}} + 1\right)} \]
      8. associate-*l/26.7%

        \[\leadsto \sqrt{-1 + \left(\color{blue}{\frac{n \cdot 2}{k} \cdot \pi} + 1\right)} \]
      9. associate-*r/26.7%

        \[\leadsto \sqrt{-1 + \left(\color{blue}{\left(n \cdot \frac{2}{k}\right)} \cdot \pi + 1\right)} \]
      10. *-commutative26.7%

        \[\leadsto \sqrt{-1 + \left(\color{blue}{\pi \cdot \left(n \cdot \frac{2}{k}\right)} + 1\right)} \]
      11. fma-define26.7%

        \[\leadsto \sqrt{-1 + \color{blue}{\mathsf{fma}\left(\pi, n \cdot \frac{2}{k}, 1\right)}} \]
      12. associate-*r/26.7%

        \[\leadsto \sqrt{-1 + \mathsf{fma}\left(\pi, \color{blue}{\frac{n \cdot 2}{k}}, 1\right)} \]
    11. Simplified26.7%

      \[\leadsto \sqrt{\color{blue}{-1 + \mathsf{fma}\left(\pi, \frac{n \cdot 2}{k}, 1\right)}} \]
  3. Recombined 2 regimes into one program.
  4. Add Preprocessing

Alternative 5: 99.5% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \frac{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(0.5 - \frac{k}{2}\right)}}{\sqrt{k}} \end{array} \]
(FPCore (k n)
 :precision binary64
 (/ (pow (* 2.0 (* PI n)) (- 0.5 (/ k 2.0))) (sqrt k)))
double code(double k, double n) {
	return pow((2.0 * (((double) M_PI) * n)), (0.5 - (k / 2.0))) / sqrt(k);
}
public static double code(double k, double n) {
	return Math.pow((2.0 * (Math.PI * n)), (0.5 - (k / 2.0))) / Math.sqrt(k);
}
def code(k, n):
	return math.pow((2.0 * (math.pi * n)), (0.5 - (k / 2.0))) / math.sqrt(k)
function code(k, n)
	return Float64((Float64(2.0 * Float64(pi * n)) ^ Float64(0.5 - Float64(k / 2.0))) / sqrt(k))
end
function tmp = code(k, n)
	tmp = ((2.0 * (pi * n)) ^ (0.5 - (k / 2.0))) / sqrt(k);
end
code[k_, n_] := N[(N[Power[N[(2.0 * N[(Pi * n), $MachinePrecision]), $MachinePrecision], N[(0.5 - N[(k / 2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[k], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}

\\
\frac{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(0.5 - \frac{k}{2}\right)}}{\sqrt{k}}
\end{array}
Derivation
  1. Initial program 99.5%

    \[\frac{1}{\sqrt{k}} \cdot {\left(\left(2 \cdot \pi\right) \cdot n\right)}^{\left(\frac{1 - k}{2}\right)} \]
  2. Step-by-step derivation
    1. associate-*l/99.5%

      \[\leadsto \color{blue}{\frac{1 \cdot {\left(\left(2 \cdot \pi\right) \cdot n\right)}^{\left(\frac{1 - k}{2}\right)}}{\sqrt{k}}} \]
    2. *-lft-identity99.5%

      \[\leadsto \frac{\color{blue}{{\left(\left(2 \cdot \pi\right) \cdot n\right)}^{\left(\frac{1 - k}{2}\right)}}}{\sqrt{k}} \]
    3. associate-*l*99.5%

      \[\leadsto \frac{{\color{blue}{\left(2 \cdot \left(\pi \cdot n\right)\right)}}^{\left(\frac{1 - k}{2}\right)}}{\sqrt{k}} \]
    4. div-sub99.5%

      \[\leadsto \frac{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\color{blue}{\left(\frac{1}{2} - \frac{k}{2}\right)}}}{\sqrt{k}} \]
    5. metadata-eval99.5%

      \[\leadsto \frac{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(\color{blue}{0.5} - \frac{k}{2}\right)}}{\sqrt{k}} \]
  3. Simplified99.5%

    \[\leadsto \color{blue}{\frac{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(0.5 - \frac{k}{2}\right)}}{\sqrt{k}}} \]
  4. Add Preprocessing
  5. Add Preprocessing

Alternative 6: 49.7% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \sqrt{n} \cdot \sqrt{2 \cdot \frac{\pi}{k}} \end{array} \]
(FPCore (k n) :precision binary64 (* (sqrt n) (sqrt (* 2.0 (/ PI k)))))
double code(double k, double n) {
	return sqrt(n) * sqrt((2.0 * (((double) M_PI) / k)));
}
public static double code(double k, double n) {
	return Math.sqrt(n) * Math.sqrt((2.0 * (Math.PI / k)));
}
def code(k, n):
	return math.sqrt(n) * math.sqrt((2.0 * (math.pi / k)))
function code(k, n)
	return Float64(sqrt(n) * sqrt(Float64(2.0 * Float64(pi / k))))
end
function tmp = code(k, n)
	tmp = sqrt(n) * sqrt((2.0 * (pi / k)));
end
code[k_, n_] := N[(N[Sqrt[n], $MachinePrecision] * N[Sqrt[N[(2.0 * N[(Pi / k), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}

\\
\sqrt{n} \cdot \sqrt{2 \cdot \frac{\pi}{k}}
\end{array}
Derivation
  1. Initial program 99.5%

    \[\frac{1}{\sqrt{k}} \cdot {\left(\left(2 \cdot \pi\right) \cdot n\right)}^{\left(\frac{1 - k}{2}\right)} \]
  2. Add Preprocessing
  3. Taylor expanded in k around 0 39.6%

    \[\leadsto \color{blue}{\sqrt{\frac{n \cdot \pi}{k}} \cdot \sqrt{2}} \]
  4. Step-by-step derivation
    1. *-commutative39.6%

      \[\leadsto \color{blue}{\sqrt{2} \cdot \sqrt{\frac{n \cdot \pi}{k}}} \]
    2. associate-/l*39.7%

      \[\leadsto \sqrt{2} \cdot \sqrt{\color{blue}{n \cdot \frac{\pi}{k}}} \]
  5. Simplified39.7%

    \[\leadsto \color{blue}{\sqrt{2} \cdot \sqrt{n \cdot \frac{\pi}{k}}} \]
  6. Step-by-step derivation
    1. sqrt-unprod39.8%

      \[\leadsto \color{blue}{\sqrt{2 \cdot \left(n \cdot \frac{\pi}{k}\right)}} \]
    2. associate-*r/39.8%

      \[\leadsto \sqrt{2 \cdot \color{blue}{\frac{n \cdot \pi}{k}}} \]
  7. Applied egg-rr39.8%

    \[\leadsto \color{blue}{\sqrt{2 \cdot \frac{n \cdot \pi}{k}}} \]
  8. Step-by-step derivation
    1. *-commutative39.8%

      \[\leadsto \sqrt{2 \cdot \frac{\color{blue}{\pi \cdot n}}{k}} \]
    2. associate-/l*39.8%

      \[\leadsto \sqrt{2 \cdot \color{blue}{\left(\pi \cdot \frac{n}{k}\right)}} \]
  9. Applied egg-rr39.8%

    \[\leadsto \sqrt{2 \cdot \color{blue}{\left(\pi \cdot \frac{n}{k}\right)}} \]
  10. Step-by-step derivation
    1. pow1/239.8%

      \[\leadsto \color{blue}{{\left(2 \cdot \left(\pi \cdot \frac{n}{k}\right)\right)}^{0.5}} \]
    2. associate-*r/39.8%

      \[\leadsto {\left(2 \cdot \color{blue}{\frac{\pi \cdot n}{k}}\right)}^{0.5} \]
    3. associate-*r/39.8%

      \[\leadsto {\color{blue}{\left(\frac{2 \cdot \left(\pi \cdot n\right)}{k}\right)}}^{0.5} \]
    4. *-commutative39.8%

      \[\leadsto {\left(\frac{2 \cdot \color{blue}{\left(n \cdot \pi\right)}}{k}\right)}^{0.5} \]
    5. associate-*l*39.8%

      \[\leadsto {\left(\frac{\color{blue}{\left(2 \cdot n\right) \cdot \pi}}{k}\right)}^{0.5} \]
    6. *-commutative39.8%

      \[\leadsto {\left(\frac{\color{blue}{\left(n \cdot 2\right)} \cdot \pi}{k}\right)}^{0.5} \]
    7. associate-*r/39.8%

      \[\leadsto {\color{blue}{\left(\left(n \cdot 2\right) \cdot \frac{\pi}{k}\right)}}^{0.5} \]
    8. associate-*l*39.8%

      \[\leadsto {\color{blue}{\left(n \cdot \left(2 \cdot \frac{\pi}{k}\right)\right)}}^{0.5} \]
    9. unpow-prod-down55.5%

      \[\leadsto \color{blue}{{n}^{0.5} \cdot {\left(2 \cdot \frac{\pi}{k}\right)}^{0.5}} \]
    10. pow1/255.5%

      \[\leadsto \color{blue}{\sqrt{n}} \cdot {\left(2 \cdot \frac{\pi}{k}\right)}^{0.5} \]
  11. Applied egg-rr55.5%

    \[\leadsto \color{blue}{\sqrt{n} \cdot {\left(2 \cdot \frac{\pi}{k}\right)}^{0.5}} \]
  12. Step-by-step derivation
    1. unpow1/255.5%

      \[\leadsto \sqrt{n} \cdot \color{blue}{\sqrt{2 \cdot \frac{\pi}{k}}} \]
  13. Simplified55.5%

    \[\leadsto \color{blue}{\sqrt{n} \cdot \sqrt{2 \cdot \frac{\pi}{k}}} \]
  14. Add Preprocessing

Alternative 7: 39.0% accurate, 2.0× speedup?

\[\begin{array}{l} \\ \frac{1}{\sqrt{\frac{k}{\pi \cdot \left(n \cdot 2\right)}}} \end{array} \]
(FPCore (k n) :precision binary64 (/ 1.0 (sqrt (/ k (* PI (* n 2.0))))))
double code(double k, double n) {
	return 1.0 / sqrt((k / (((double) M_PI) * (n * 2.0))));
}
public static double code(double k, double n) {
	return 1.0 / Math.sqrt((k / (Math.PI * (n * 2.0))));
}
def code(k, n):
	return 1.0 / math.sqrt((k / (math.pi * (n * 2.0))))
function code(k, n)
	return Float64(1.0 / sqrt(Float64(k / Float64(pi * Float64(n * 2.0)))))
end
function tmp = code(k, n)
	tmp = 1.0 / sqrt((k / (pi * (n * 2.0))));
end
code[k_, n_] := N[(1.0 / N[Sqrt[N[(k / N[(Pi * N[(n * 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}

\\
\frac{1}{\sqrt{\frac{k}{\pi \cdot \left(n \cdot 2\right)}}}
\end{array}
Derivation
  1. Initial program 99.5%

    \[\frac{1}{\sqrt{k}} \cdot {\left(\left(2 \cdot \pi\right) \cdot n\right)}^{\left(\frac{1 - k}{2}\right)} \]
  2. Add Preprocessing
  3. Taylor expanded in k around 0 39.6%

    \[\leadsto \color{blue}{\sqrt{\frac{n \cdot \pi}{k}} \cdot \sqrt{2}} \]
  4. Step-by-step derivation
    1. *-commutative39.6%

      \[\leadsto \color{blue}{\sqrt{2} \cdot \sqrt{\frac{n \cdot \pi}{k}}} \]
    2. associate-/l*39.7%

      \[\leadsto \sqrt{2} \cdot \sqrt{\color{blue}{n \cdot \frac{\pi}{k}}} \]
  5. Simplified39.7%

    \[\leadsto \color{blue}{\sqrt{2} \cdot \sqrt{n \cdot \frac{\pi}{k}}} \]
  6. Step-by-step derivation
    1. sqrt-unprod39.8%

      \[\leadsto \color{blue}{\sqrt{2 \cdot \left(n \cdot \frac{\pi}{k}\right)}} \]
    2. associate-*r/39.8%

      \[\leadsto \sqrt{2 \cdot \color{blue}{\frac{n \cdot \pi}{k}}} \]
  7. Applied egg-rr39.8%

    \[\leadsto \color{blue}{\sqrt{2 \cdot \frac{n \cdot \pi}{k}}} \]
  8. Step-by-step derivation
    1. associate-*r/39.8%

      \[\leadsto \sqrt{\color{blue}{\frac{2 \cdot \left(n \cdot \pi\right)}{k}}} \]
    2. div-inv39.7%

      \[\leadsto \sqrt{\color{blue}{\left(2 \cdot \left(n \cdot \pi\right)\right) \cdot \frac{1}{k}}} \]
    3. associate-*r*39.7%

      \[\leadsto \sqrt{\color{blue}{\left(\left(2 \cdot n\right) \cdot \pi\right)} \cdot \frac{1}{k}} \]
    4. *-commutative39.7%

      \[\leadsto \sqrt{\left(\color{blue}{\left(n \cdot 2\right)} \cdot \pi\right) \cdot \frac{1}{k}} \]
    5. *-commutative39.7%

      \[\leadsto \sqrt{\color{blue}{\left(\pi \cdot \left(n \cdot 2\right)\right)} \cdot \frac{1}{k}} \]
    6. div-inv39.8%

      \[\leadsto \sqrt{\color{blue}{\frac{\pi \cdot \left(n \cdot 2\right)}{k}}} \]
    7. clear-num39.8%

      \[\leadsto \sqrt{\color{blue}{\frac{1}{\frac{k}{\pi \cdot \left(n \cdot 2\right)}}}} \]
    8. sqrt-div40.7%

      \[\leadsto \color{blue}{\frac{\sqrt{1}}{\sqrt{\frac{k}{\pi \cdot \left(n \cdot 2\right)}}}} \]
    9. metadata-eval40.7%

      \[\leadsto \frac{\color{blue}{1}}{\sqrt{\frac{k}{\pi \cdot \left(n \cdot 2\right)}}} \]
  9. Applied egg-rr40.7%

    \[\leadsto \color{blue}{\frac{1}{\sqrt{\frac{k}{\pi \cdot \left(n \cdot 2\right)}}}} \]
  10. Add Preprocessing

Alternative 8: 39.0% accurate, 2.0× speedup?

\[\begin{array}{l} \\ \frac{1}{\sqrt{k \cdot \frac{0.5}{\pi \cdot n}}} \end{array} \]
(FPCore (k n) :precision binary64 (/ 1.0 (sqrt (* k (/ 0.5 (* PI n))))))
double code(double k, double n) {
	return 1.0 / sqrt((k * (0.5 / (((double) M_PI) * n))));
}
public static double code(double k, double n) {
	return 1.0 / Math.sqrt((k * (0.5 / (Math.PI * n))));
}
def code(k, n):
	return 1.0 / math.sqrt((k * (0.5 / (math.pi * n))))
function code(k, n)
	return Float64(1.0 / sqrt(Float64(k * Float64(0.5 / Float64(pi * n)))))
end
function tmp = code(k, n)
	tmp = 1.0 / sqrt((k * (0.5 / (pi * n))));
end
code[k_, n_] := N[(1.0 / N[Sqrt[N[(k * N[(0.5 / N[(Pi * n), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}

\\
\frac{1}{\sqrt{k \cdot \frac{0.5}{\pi \cdot n}}}
\end{array}
Derivation
  1. Initial program 99.5%

    \[\frac{1}{\sqrt{k}} \cdot {\left(\left(2 \cdot \pi\right) \cdot n\right)}^{\left(\frac{1 - k}{2}\right)} \]
  2. Add Preprocessing
  3. Step-by-step derivation
    1. associate-*l/99.5%

      \[\leadsto \color{blue}{\frac{1 \cdot {\left(\left(2 \cdot \pi\right) \cdot n\right)}^{\left(\frac{1 - k}{2}\right)}}{\sqrt{k}}} \]
    2. *-un-lft-identity99.5%

      \[\leadsto \frac{\color{blue}{{\left(\left(2 \cdot \pi\right) \cdot n\right)}^{\left(\frac{1 - k}{2}\right)}}}{\sqrt{k}} \]
    3. associate-*r*99.5%

      \[\leadsto \frac{{\color{blue}{\left(2 \cdot \left(\pi \cdot n\right)\right)}}^{\left(\frac{1 - k}{2}\right)}}{\sqrt{k}} \]
    4. div-sub99.5%

      \[\leadsto \frac{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\color{blue}{\left(\frac{1}{2} - \frac{k}{2}\right)}}}{\sqrt{k}} \]
    5. metadata-eval99.5%

      \[\leadsto \frac{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(\color{blue}{0.5} - \frac{k}{2}\right)}}{\sqrt{k}} \]
    6. pow-div99.7%

      \[\leadsto \frac{\color{blue}{\frac{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{0.5}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(\frac{k}{2}\right)}}}}{\sqrt{k}} \]
    7. pow1/299.7%

      \[\leadsto \frac{\frac{\color{blue}{\sqrt{2 \cdot \left(\pi \cdot n\right)}}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(\frac{k}{2}\right)}}}{\sqrt{k}} \]
    8. associate-/l/99.7%

      \[\leadsto \color{blue}{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{\sqrt{k} \cdot {\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(\frac{k}{2}\right)}}} \]
    9. div-inv99.7%

      \[\leadsto \frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{\sqrt{k} \cdot {\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\color{blue}{\left(k \cdot \frac{1}{2}\right)}}} \]
    10. metadata-eval99.7%

      \[\leadsto \frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{\sqrt{k} \cdot {\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot \color{blue}{0.5}\right)}} \]
  4. Applied egg-rr99.7%

    \[\leadsto \color{blue}{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{\sqrt{k} \cdot {\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}} \]
  5. Step-by-step derivation
    1. associate-/l/99.7%

      \[\leadsto \color{blue}{\frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\sqrt{k}}} \]
    2. rem-square-sqrt99.7%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\sqrt{\color{blue}{\sqrt{k} \cdot \sqrt{k}}}} \]
    3. rem-sqrt-square99.7%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\color{blue}{\left|\sqrt{k}\right|}} \]
    4. fabs-neg99.7%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\color{blue}{\left|-\sqrt{k}\right|}} \]
    5. neg-mul-199.7%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\left|\color{blue}{-1 \cdot \sqrt{k}}\right|} \]
    6. rem-square-sqrt0.0%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\left|\color{blue}{\left(\sqrt{-1} \cdot \sqrt{-1}\right)} \cdot \sqrt{k}\right|} \]
    7. unpow1/20.0%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\left|\left(\sqrt{-1} \cdot \sqrt{-1}\right) \cdot \color{blue}{{k}^{0.5}}\right|} \]
    8. metadata-eval0.0%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\left|\left(\sqrt{-1} \cdot \sqrt{-1}\right) \cdot {k}^{\color{blue}{\left(2 \cdot 0.25\right)}}\right|} \]
    9. pow-sqr0.0%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\left|\left(\sqrt{-1} \cdot \sqrt{-1}\right) \cdot \color{blue}{\left({k}^{0.25} \cdot {k}^{0.25}\right)}\right|} \]
    10. unswap-sqr0.0%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\left|\color{blue}{\left(\sqrt{-1} \cdot {k}^{0.25}\right) \cdot \left(\sqrt{-1} \cdot {k}^{0.25}\right)}\right|} \]
    11. fabs-sqr0.0%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\color{blue}{\left(\sqrt{-1} \cdot {k}^{0.25}\right) \cdot \left(\sqrt{-1} \cdot {k}^{0.25}\right)}} \]
    12. unswap-sqr0.0%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\color{blue}{\left(\sqrt{-1} \cdot \sqrt{-1}\right) \cdot \left({k}^{0.25} \cdot {k}^{0.25}\right)}} \]
    13. rem-square-sqrt20.9%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\color{blue}{-1} \cdot \left({k}^{0.25} \cdot {k}^{0.25}\right)} \]
    14. pow-sqr20.9%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{-1 \cdot \color{blue}{{k}^{\left(2 \cdot 0.25\right)}}} \]
    15. metadata-eval20.9%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{-1 \cdot {k}^{\color{blue}{0.5}}} \]
    16. unpow1/220.9%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{-1 \cdot \color{blue}{\sqrt{k}}} \]
    17. neg-mul-120.9%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\color{blue}{-\sqrt{k}}} \]
    18. associate-/r*20.9%

      \[\leadsto \color{blue}{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)} \cdot \left(-\sqrt{k}\right)}} \]
  6. Simplified99.7%

    \[\leadsto \color{blue}{\frac{\sqrt{n \cdot \left(2 \cdot \pi\right)}}{\sqrt{k} \cdot {\left(n \cdot \left(2 \cdot \pi\right)\right)}^{\left(k \cdot 0.5\right)}}} \]
  7. Step-by-step derivation
    1. div-inv99.7%

      \[\leadsto \color{blue}{\sqrt{n \cdot \left(2 \cdot \pi\right)} \cdot \frac{1}{\sqrt{k} \cdot {\left(n \cdot \left(2 \cdot \pi\right)\right)}^{\left(k \cdot 0.5\right)}}} \]
    2. *-commutative99.7%

      \[\leadsto \sqrt{\color{blue}{\left(2 \cdot \pi\right) \cdot n}} \cdot \frac{1}{\sqrt{k} \cdot {\left(n \cdot \left(2 \cdot \pi\right)\right)}^{\left(k \cdot 0.5\right)}} \]
    3. associate-*r*99.7%

      \[\leadsto \sqrt{\color{blue}{2 \cdot \left(\pi \cdot n\right)}} \cdot \frac{1}{\sqrt{k} \cdot {\left(n \cdot \left(2 \cdot \pi\right)\right)}^{\left(k \cdot 0.5\right)}} \]
    4. *-commutative99.7%

      \[\leadsto \sqrt{2 \cdot \color{blue}{\left(n \cdot \pi\right)}} \cdot \frac{1}{\sqrt{k} \cdot {\left(n \cdot \left(2 \cdot \pi\right)\right)}^{\left(k \cdot 0.5\right)}} \]
    5. associate-*r*99.7%

      \[\leadsto \sqrt{\color{blue}{\left(2 \cdot n\right) \cdot \pi}} \cdot \frac{1}{\sqrt{k} \cdot {\left(n \cdot \left(2 \cdot \pi\right)\right)}^{\left(k \cdot 0.5\right)}} \]
    6. pow1/299.7%

      \[\leadsto \sqrt{\left(2 \cdot n\right) \cdot \pi} \cdot \frac{1}{\color{blue}{{k}^{0.5}} \cdot {\left(n \cdot \left(2 \cdot \pi\right)\right)}^{\left(k \cdot 0.5\right)}} \]
    7. pow-unpow99.7%

      \[\leadsto \sqrt{\left(2 \cdot n\right) \cdot \pi} \cdot \frac{1}{{k}^{0.5} \cdot \color{blue}{{\left({\left(n \cdot \left(2 \cdot \pi\right)\right)}^{k}\right)}^{0.5}}} \]
    8. pow-prod-down99.7%

      \[\leadsto \sqrt{\left(2 \cdot n\right) \cdot \pi} \cdot \frac{1}{\color{blue}{{\left(k \cdot {\left(n \cdot \left(2 \cdot \pi\right)\right)}^{k}\right)}^{0.5}}} \]
    9. *-commutative99.7%

      \[\leadsto \sqrt{\left(2 \cdot n\right) \cdot \pi} \cdot \frac{1}{{\left(k \cdot {\color{blue}{\left(\left(2 \cdot \pi\right) \cdot n\right)}}^{k}\right)}^{0.5}} \]
    10. associate-*r*99.7%

      \[\leadsto \sqrt{\left(2 \cdot n\right) \cdot \pi} \cdot \frac{1}{{\left(k \cdot {\color{blue}{\left(2 \cdot \left(\pi \cdot n\right)\right)}}^{k}\right)}^{0.5}} \]
    11. *-commutative99.7%

      \[\leadsto \sqrt{\left(2 \cdot n\right) \cdot \pi} \cdot \frac{1}{{\left(k \cdot {\left(2 \cdot \color{blue}{\left(n \cdot \pi\right)}\right)}^{k}\right)}^{0.5}} \]
    12. associate-*r*99.7%

      \[\leadsto \sqrt{\left(2 \cdot n\right) \cdot \pi} \cdot \frac{1}{{\left(k \cdot {\color{blue}{\left(\left(2 \cdot n\right) \cdot \pi\right)}}^{k}\right)}^{0.5}} \]
  8. Applied egg-rr99.7%

    \[\leadsto \color{blue}{\sqrt{\left(2 \cdot n\right) \cdot \pi} \cdot \frac{1}{{\left(k \cdot {\left(\left(2 \cdot n\right) \cdot \pi\right)}^{k}\right)}^{0.5}}} \]
  9. Step-by-step derivation
    1. associate-*r/99.7%

      \[\leadsto \color{blue}{\frac{\sqrt{\left(2 \cdot n\right) \cdot \pi} \cdot 1}{{\left(k \cdot {\left(\left(2 \cdot n\right) \cdot \pi\right)}^{k}\right)}^{0.5}}} \]
    2. *-rgt-identity99.7%

      \[\leadsto \frac{\color{blue}{\sqrt{\left(2 \cdot n\right) \cdot \pi}}}{{\left(k \cdot {\left(\left(2 \cdot n\right) \cdot \pi\right)}^{k}\right)}^{0.5}} \]
    3. *-commutative99.7%

      \[\leadsto \frac{\sqrt{\color{blue}{\pi \cdot \left(2 \cdot n\right)}}}{{\left(k \cdot {\left(\left(2 \cdot n\right) \cdot \pi\right)}^{k}\right)}^{0.5}} \]
    4. *-commutative99.7%

      \[\leadsto \frac{\sqrt{\pi \cdot \color{blue}{\left(n \cdot 2\right)}}}{{\left(k \cdot {\left(\left(2 \cdot n\right) \cdot \pi\right)}^{k}\right)}^{0.5}} \]
    5. unpow1/299.7%

      \[\leadsto \frac{\sqrt{\pi \cdot \left(n \cdot 2\right)}}{\color{blue}{\sqrt{k \cdot {\left(\left(2 \cdot n\right) \cdot \pi\right)}^{k}}}} \]
    6. *-commutative99.7%

      \[\leadsto \frac{\sqrt{\pi \cdot \left(n \cdot 2\right)}}{\sqrt{k \cdot {\color{blue}{\left(\pi \cdot \left(2 \cdot n\right)\right)}}^{k}}} \]
    7. *-commutative99.7%

      \[\leadsto \frac{\sqrt{\pi \cdot \left(n \cdot 2\right)}}{\sqrt{k \cdot {\left(\pi \cdot \color{blue}{\left(n \cdot 2\right)}\right)}^{k}}} \]
  10. Simplified99.7%

    \[\leadsto \color{blue}{\frac{\sqrt{\pi \cdot \left(n \cdot 2\right)}}{\sqrt{k \cdot {\left(\pi \cdot \left(n \cdot 2\right)\right)}^{k}}}} \]
  11. Step-by-step derivation
    1. clear-num99.7%

      \[\leadsto \color{blue}{\frac{1}{\frac{\sqrt{k \cdot {\left(\pi \cdot \left(n \cdot 2\right)\right)}^{k}}}{\sqrt{\pi \cdot \left(n \cdot 2\right)}}}} \]
    2. inv-pow99.7%

      \[\leadsto \color{blue}{{\left(\frac{\sqrt{k \cdot {\left(\pi \cdot \left(n \cdot 2\right)\right)}^{k}}}{\sqrt{\pi \cdot \left(n \cdot 2\right)}}\right)}^{-1}} \]
    3. sqrt-undiv85.0%

      \[\leadsto {\color{blue}{\left(\sqrt{\frac{k \cdot {\left(\pi \cdot \left(n \cdot 2\right)\right)}^{k}}{\pi \cdot \left(n \cdot 2\right)}}\right)}}^{-1} \]
  12. Applied egg-rr85.0%

    \[\leadsto \color{blue}{{\left(\sqrt{\frac{k \cdot {\left(\pi \cdot \left(n \cdot 2\right)\right)}^{k}}{\pi \cdot \left(n \cdot 2\right)}}\right)}^{-1}} \]
  13. Step-by-step derivation
    1. unpow-185.0%

      \[\leadsto \color{blue}{\frac{1}{\sqrt{\frac{k \cdot {\left(\pi \cdot \left(n \cdot 2\right)\right)}^{k}}{\pi \cdot \left(n \cdot 2\right)}}}} \]
    2. associate-/l*85.0%

      \[\leadsto \frac{1}{\sqrt{\color{blue}{k \cdot \frac{{\left(\pi \cdot \left(n \cdot 2\right)\right)}^{k}}{\pi \cdot \left(n \cdot 2\right)}}}} \]
  14. Simplified85.0%

    \[\leadsto \color{blue}{\frac{1}{\sqrt{k \cdot \frac{{\left(\pi \cdot \left(n \cdot 2\right)\right)}^{k}}{\pi \cdot \left(n \cdot 2\right)}}}} \]
  15. Taylor expanded in k around 0 40.7%

    \[\leadsto \frac{1}{\sqrt{k \cdot \color{blue}{\frac{0.5}{n \cdot \pi}}}} \]
  16. Final simplification40.7%

    \[\leadsto \frac{1}{\sqrt{k \cdot \frac{0.5}{\pi \cdot n}}} \]
  17. Add Preprocessing

Alternative 9: 39.0% accurate, 2.0× speedup?

\[\begin{array}{l} \\ \frac{1}{\sqrt{0.5 \cdot \frac{\frac{k}{n}}{\pi}}} \end{array} \]
(FPCore (k n) :precision binary64 (/ 1.0 (sqrt (* 0.5 (/ (/ k n) PI)))))
double code(double k, double n) {
	return 1.0 / sqrt((0.5 * ((k / n) / ((double) M_PI))));
}
public static double code(double k, double n) {
	return 1.0 / Math.sqrt((0.5 * ((k / n) / Math.PI)));
}
def code(k, n):
	return 1.0 / math.sqrt((0.5 * ((k / n) / math.pi)))
function code(k, n)
	return Float64(1.0 / sqrt(Float64(0.5 * Float64(Float64(k / n) / pi))))
end
function tmp = code(k, n)
	tmp = 1.0 / sqrt((0.5 * ((k / n) / pi)));
end
code[k_, n_] := N[(1.0 / N[Sqrt[N[(0.5 * N[(N[(k / n), $MachinePrecision] / Pi), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}

\\
\frac{1}{\sqrt{0.5 \cdot \frac{\frac{k}{n}}{\pi}}}
\end{array}
Derivation
  1. Initial program 99.5%

    \[\frac{1}{\sqrt{k}} \cdot {\left(\left(2 \cdot \pi\right) \cdot n\right)}^{\left(\frac{1 - k}{2}\right)} \]
  2. Add Preprocessing
  3. Step-by-step derivation
    1. associate-*l/99.5%

      \[\leadsto \color{blue}{\frac{1 \cdot {\left(\left(2 \cdot \pi\right) \cdot n\right)}^{\left(\frac{1 - k}{2}\right)}}{\sqrt{k}}} \]
    2. *-un-lft-identity99.5%

      \[\leadsto \frac{\color{blue}{{\left(\left(2 \cdot \pi\right) \cdot n\right)}^{\left(\frac{1 - k}{2}\right)}}}{\sqrt{k}} \]
    3. associate-*r*99.5%

      \[\leadsto \frac{{\color{blue}{\left(2 \cdot \left(\pi \cdot n\right)\right)}}^{\left(\frac{1 - k}{2}\right)}}{\sqrt{k}} \]
    4. div-sub99.5%

      \[\leadsto \frac{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\color{blue}{\left(\frac{1}{2} - \frac{k}{2}\right)}}}{\sqrt{k}} \]
    5. metadata-eval99.5%

      \[\leadsto \frac{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(\color{blue}{0.5} - \frac{k}{2}\right)}}{\sqrt{k}} \]
    6. pow-div99.7%

      \[\leadsto \frac{\color{blue}{\frac{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{0.5}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(\frac{k}{2}\right)}}}}{\sqrt{k}} \]
    7. pow1/299.7%

      \[\leadsto \frac{\frac{\color{blue}{\sqrt{2 \cdot \left(\pi \cdot n\right)}}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(\frac{k}{2}\right)}}}{\sqrt{k}} \]
    8. associate-/l/99.7%

      \[\leadsto \color{blue}{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{\sqrt{k} \cdot {\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(\frac{k}{2}\right)}}} \]
    9. div-inv99.7%

      \[\leadsto \frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{\sqrt{k} \cdot {\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\color{blue}{\left(k \cdot \frac{1}{2}\right)}}} \]
    10. metadata-eval99.7%

      \[\leadsto \frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{\sqrt{k} \cdot {\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot \color{blue}{0.5}\right)}} \]
  4. Applied egg-rr99.7%

    \[\leadsto \color{blue}{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{\sqrt{k} \cdot {\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}} \]
  5. Step-by-step derivation
    1. associate-/l/99.7%

      \[\leadsto \color{blue}{\frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\sqrt{k}}} \]
    2. rem-square-sqrt99.7%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\sqrt{\color{blue}{\sqrt{k} \cdot \sqrt{k}}}} \]
    3. rem-sqrt-square99.7%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\color{blue}{\left|\sqrt{k}\right|}} \]
    4. fabs-neg99.7%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\color{blue}{\left|-\sqrt{k}\right|}} \]
    5. neg-mul-199.7%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\left|\color{blue}{-1 \cdot \sqrt{k}}\right|} \]
    6. rem-square-sqrt0.0%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\left|\color{blue}{\left(\sqrt{-1} \cdot \sqrt{-1}\right)} \cdot \sqrt{k}\right|} \]
    7. unpow1/20.0%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\left|\left(\sqrt{-1} \cdot \sqrt{-1}\right) \cdot \color{blue}{{k}^{0.5}}\right|} \]
    8. metadata-eval0.0%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\left|\left(\sqrt{-1} \cdot \sqrt{-1}\right) \cdot {k}^{\color{blue}{\left(2 \cdot 0.25\right)}}\right|} \]
    9. pow-sqr0.0%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\left|\left(\sqrt{-1} \cdot \sqrt{-1}\right) \cdot \color{blue}{\left({k}^{0.25} \cdot {k}^{0.25}\right)}\right|} \]
    10. unswap-sqr0.0%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\left|\color{blue}{\left(\sqrt{-1} \cdot {k}^{0.25}\right) \cdot \left(\sqrt{-1} \cdot {k}^{0.25}\right)}\right|} \]
    11. fabs-sqr0.0%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\color{blue}{\left(\sqrt{-1} \cdot {k}^{0.25}\right) \cdot \left(\sqrt{-1} \cdot {k}^{0.25}\right)}} \]
    12. unswap-sqr0.0%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\color{blue}{\left(\sqrt{-1} \cdot \sqrt{-1}\right) \cdot \left({k}^{0.25} \cdot {k}^{0.25}\right)}} \]
    13. rem-square-sqrt20.9%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\color{blue}{-1} \cdot \left({k}^{0.25} \cdot {k}^{0.25}\right)} \]
    14. pow-sqr20.9%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{-1 \cdot \color{blue}{{k}^{\left(2 \cdot 0.25\right)}}} \]
    15. metadata-eval20.9%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{-1 \cdot {k}^{\color{blue}{0.5}}} \]
    16. unpow1/220.9%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{-1 \cdot \color{blue}{\sqrt{k}}} \]
    17. neg-mul-120.9%

      \[\leadsto \frac{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\color{blue}{-\sqrt{k}}} \]
    18. associate-/r*20.9%

      \[\leadsto \color{blue}{\frac{\sqrt{2 \cdot \left(\pi \cdot n\right)}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot 0.5\right)} \cdot \left(-\sqrt{k}\right)}} \]
  6. Simplified99.7%

    \[\leadsto \color{blue}{\frac{\sqrt{n \cdot \left(2 \cdot \pi\right)}}{\sqrt{k} \cdot {\left(n \cdot \left(2 \cdot \pi\right)\right)}^{\left(k \cdot 0.5\right)}}} \]
  7. Step-by-step derivation
    1. div-inv99.7%

      \[\leadsto \color{blue}{\sqrt{n \cdot \left(2 \cdot \pi\right)} \cdot \frac{1}{\sqrt{k} \cdot {\left(n \cdot \left(2 \cdot \pi\right)\right)}^{\left(k \cdot 0.5\right)}}} \]
    2. *-commutative99.7%

      \[\leadsto \sqrt{\color{blue}{\left(2 \cdot \pi\right) \cdot n}} \cdot \frac{1}{\sqrt{k} \cdot {\left(n \cdot \left(2 \cdot \pi\right)\right)}^{\left(k \cdot 0.5\right)}} \]
    3. associate-*r*99.7%

      \[\leadsto \sqrt{\color{blue}{2 \cdot \left(\pi \cdot n\right)}} \cdot \frac{1}{\sqrt{k} \cdot {\left(n \cdot \left(2 \cdot \pi\right)\right)}^{\left(k \cdot 0.5\right)}} \]
    4. *-commutative99.7%

      \[\leadsto \sqrt{2 \cdot \color{blue}{\left(n \cdot \pi\right)}} \cdot \frac{1}{\sqrt{k} \cdot {\left(n \cdot \left(2 \cdot \pi\right)\right)}^{\left(k \cdot 0.5\right)}} \]
    5. associate-*r*99.7%

      \[\leadsto \sqrt{\color{blue}{\left(2 \cdot n\right) \cdot \pi}} \cdot \frac{1}{\sqrt{k} \cdot {\left(n \cdot \left(2 \cdot \pi\right)\right)}^{\left(k \cdot 0.5\right)}} \]
    6. pow1/299.7%

      \[\leadsto \sqrt{\left(2 \cdot n\right) \cdot \pi} \cdot \frac{1}{\color{blue}{{k}^{0.5}} \cdot {\left(n \cdot \left(2 \cdot \pi\right)\right)}^{\left(k \cdot 0.5\right)}} \]
    7. pow-unpow99.7%

      \[\leadsto \sqrt{\left(2 \cdot n\right) \cdot \pi} \cdot \frac{1}{{k}^{0.5} \cdot \color{blue}{{\left({\left(n \cdot \left(2 \cdot \pi\right)\right)}^{k}\right)}^{0.5}}} \]
    8. pow-prod-down99.7%

      \[\leadsto \sqrt{\left(2 \cdot n\right) \cdot \pi} \cdot \frac{1}{\color{blue}{{\left(k \cdot {\left(n \cdot \left(2 \cdot \pi\right)\right)}^{k}\right)}^{0.5}}} \]
    9. *-commutative99.7%

      \[\leadsto \sqrt{\left(2 \cdot n\right) \cdot \pi} \cdot \frac{1}{{\left(k \cdot {\color{blue}{\left(\left(2 \cdot \pi\right) \cdot n\right)}}^{k}\right)}^{0.5}} \]
    10. associate-*r*99.7%

      \[\leadsto \sqrt{\left(2 \cdot n\right) \cdot \pi} \cdot \frac{1}{{\left(k \cdot {\color{blue}{\left(2 \cdot \left(\pi \cdot n\right)\right)}}^{k}\right)}^{0.5}} \]
    11. *-commutative99.7%

      \[\leadsto \sqrt{\left(2 \cdot n\right) \cdot \pi} \cdot \frac{1}{{\left(k \cdot {\left(2 \cdot \color{blue}{\left(n \cdot \pi\right)}\right)}^{k}\right)}^{0.5}} \]
    12. associate-*r*99.7%

      \[\leadsto \sqrt{\left(2 \cdot n\right) \cdot \pi} \cdot \frac{1}{{\left(k \cdot {\color{blue}{\left(\left(2 \cdot n\right) \cdot \pi\right)}}^{k}\right)}^{0.5}} \]
  8. Applied egg-rr99.7%

    \[\leadsto \color{blue}{\sqrt{\left(2 \cdot n\right) \cdot \pi} \cdot \frac{1}{{\left(k \cdot {\left(\left(2 \cdot n\right) \cdot \pi\right)}^{k}\right)}^{0.5}}} \]
  9. Step-by-step derivation
    1. associate-*r/99.7%

      \[\leadsto \color{blue}{\frac{\sqrt{\left(2 \cdot n\right) \cdot \pi} \cdot 1}{{\left(k \cdot {\left(\left(2 \cdot n\right) \cdot \pi\right)}^{k}\right)}^{0.5}}} \]
    2. *-rgt-identity99.7%

      \[\leadsto \frac{\color{blue}{\sqrt{\left(2 \cdot n\right) \cdot \pi}}}{{\left(k \cdot {\left(\left(2 \cdot n\right) \cdot \pi\right)}^{k}\right)}^{0.5}} \]
    3. *-commutative99.7%

      \[\leadsto \frac{\sqrt{\color{blue}{\pi \cdot \left(2 \cdot n\right)}}}{{\left(k \cdot {\left(\left(2 \cdot n\right) \cdot \pi\right)}^{k}\right)}^{0.5}} \]
    4. *-commutative99.7%

      \[\leadsto \frac{\sqrt{\pi \cdot \color{blue}{\left(n \cdot 2\right)}}}{{\left(k \cdot {\left(\left(2 \cdot n\right) \cdot \pi\right)}^{k}\right)}^{0.5}} \]
    5. unpow1/299.7%

      \[\leadsto \frac{\sqrt{\pi \cdot \left(n \cdot 2\right)}}{\color{blue}{\sqrt{k \cdot {\left(\left(2 \cdot n\right) \cdot \pi\right)}^{k}}}} \]
    6. *-commutative99.7%

      \[\leadsto \frac{\sqrt{\pi \cdot \left(n \cdot 2\right)}}{\sqrt{k \cdot {\color{blue}{\left(\pi \cdot \left(2 \cdot n\right)\right)}}^{k}}} \]
    7. *-commutative99.7%

      \[\leadsto \frac{\sqrt{\pi \cdot \left(n \cdot 2\right)}}{\sqrt{k \cdot {\left(\pi \cdot \color{blue}{\left(n \cdot 2\right)}\right)}^{k}}} \]
  10. Simplified99.7%

    \[\leadsto \color{blue}{\frac{\sqrt{\pi \cdot \left(n \cdot 2\right)}}{\sqrt{k \cdot {\left(\pi \cdot \left(n \cdot 2\right)\right)}^{k}}}} \]
  11. Step-by-step derivation
    1. clear-num99.7%

      \[\leadsto \color{blue}{\frac{1}{\frac{\sqrt{k \cdot {\left(\pi \cdot \left(n \cdot 2\right)\right)}^{k}}}{\sqrt{\pi \cdot \left(n \cdot 2\right)}}}} \]
    2. inv-pow99.7%

      \[\leadsto \color{blue}{{\left(\frac{\sqrt{k \cdot {\left(\pi \cdot \left(n \cdot 2\right)\right)}^{k}}}{\sqrt{\pi \cdot \left(n \cdot 2\right)}}\right)}^{-1}} \]
    3. sqrt-undiv85.0%

      \[\leadsto {\color{blue}{\left(\sqrt{\frac{k \cdot {\left(\pi \cdot \left(n \cdot 2\right)\right)}^{k}}{\pi \cdot \left(n \cdot 2\right)}}\right)}}^{-1} \]
  12. Applied egg-rr85.0%

    \[\leadsto \color{blue}{{\left(\sqrt{\frac{k \cdot {\left(\pi \cdot \left(n \cdot 2\right)\right)}^{k}}{\pi \cdot \left(n \cdot 2\right)}}\right)}^{-1}} \]
  13. Step-by-step derivation
    1. unpow-185.0%

      \[\leadsto \color{blue}{\frac{1}{\sqrt{\frac{k \cdot {\left(\pi \cdot \left(n \cdot 2\right)\right)}^{k}}{\pi \cdot \left(n \cdot 2\right)}}}} \]
    2. associate-/l*85.0%

      \[\leadsto \frac{1}{\sqrt{\color{blue}{k \cdot \frac{{\left(\pi \cdot \left(n \cdot 2\right)\right)}^{k}}{\pi \cdot \left(n \cdot 2\right)}}}} \]
  14. Simplified85.0%

    \[\leadsto \color{blue}{\frac{1}{\sqrt{k \cdot \frac{{\left(\pi \cdot \left(n \cdot 2\right)\right)}^{k}}{\pi \cdot \left(n \cdot 2\right)}}}} \]
  15. Taylor expanded in k around 0 40.7%

    \[\leadsto \frac{1}{\sqrt{\color{blue}{0.5 \cdot \frac{k}{n \cdot \pi}}}} \]
  16. Step-by-step derivation
    1. associate-/r*40.7%

      \[\leadsto \frac{1}{\sqrt{0.5 \cdot \color{blue}{\frac{\frac{k}{n}}{\pi}}}} \]
  17. Simplified40.7%

    \[\leadsto \frac{1}{\sqrt{\color{blue}{0.5 \cdot \frac{\frac{k}{n}}{\pi}}}} \]
  18. Add Preprocessing

Alternative 10: 38.3% accurate, 2.0× speedup?

\[\begin{array}{l} \\ \sqrt{\frac{n \cdot 2}{\frac{k}{\pi}}} \end{array} \]
(FPCore (k n) :precision binary64 (sqrt (/ (* n 2.0) (/ k PI))))
double code(double k, double n) {
	return sqrt(((n * 2.0) / (k / ((double) M_PI))));
}
public static double code(double k, double n) {
	return Math.sqrt(((n * 2.0) / (k / Math.PI)));
}
def code(k, n):
	return math.sqrt(((n * 2.0) / (k / math.pi)))
function code(k, n)
	return sqrt(Float64(Float64(n * 2.0) / Float64(k / pi)))
end
function tmp = code(k, n)
	tmp = sqrt(((n * 2.0) / (k / pi)));
end
code[k_, n_] := N[Sqrt[N[(N[(n * 2.0), $MachinePrecision] / N[(k / Pi), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}

\\
\sqrt{\frac{n \cdot 2}{\frac{k}{\pi}}}
\end{array}
Derivation
  1. Initial program 99.5%

    \[\frac{1}{\sqrt{k}} \cdot {\left(\left(2 \cdot \pi\right) \cdot n\right)}^{\left(\frac{1 - k}{2}\right)} \]
  2. Add Preprocessing
  3. Taylor expanded in k around 0 39.6%

    \[\leadsto \color{blue}{\sqrt{\frac{n \cdot \pi}{k}} \cdot \sqrt{2}} \]
  4. Step-by-step derivation
    1. *-commutative39.6%

      \[\leadsto \color{blue}{\sqrt{2} \cdot \sqrt{\frac{n \cdot \pi}{k}}} \]
    2. associate-/l*39.7%

      \[\leadsto \sqrt{2} \cdot \sqrt{\color{blue}{n \cdot \frac{\pi}{k}}} \]
  5. Simplified39.7%

    \[\leadsto \color{blue}{\sqrt{2} \cdot \sqrt{n \cdot \frac{\pi}{k}}} \]
  6. Step-by-step derivation
    1. sqrt-unprod39.8%

      \[\leadsto \color{blue}{\sqrt{2 \cdot \left(n \cdot \frac{\pi}{k}\right)}} \]
    2. associate-*r/39.8%

      \[\leadsto \sqrt{2 \cdot \color{blue}{\frac{n \cdot \pi}{k}}} \]
  7. Applied egg-rr39.8%

    \[\leadsto \color{blue}{\sqrt{2 \cdot \frac{n \cdot \pi}{k}}} \]
  8. Step-by-step derivation
    1. *-commutative39.8%

      \[\leadsto \sqrt{2 \cdot \frac{\color{blue}{\pi \cdot n}}{k}} \]
    2. associate-/l*39.8%

      \[\leadsto \sqrt{2 \cdot \color{blue}{\left(\pi \cdot \frac{n}{k}\right)}} \]
  9. Applied egg-rr39.8%

    \[\leadsto \sqrt{2 \cdot \color{blue}{\left(\pi \cdot \frac{n}{k}\right)}} \]
  10. Step-by-step derivation
    1. associate-*r/39.8%

      \[\leadsto \sqrt{2 \cdot \color{blue}{\frac{\pi \cdot n}{k}}} \]
    2. associate-*r/39.8%

      \[\leadsto \sqrt{\color{blue}{\frac{2 \cdot \left(\pi \cdot n\right)}{k}}} \]
    3. *-commutative39.8%

      \[\leadsto \sqrt{\frac{2 \cdot \color{blue}{\left(n \cdot \pi\right)}}{k}} \]
    4. associate-*l*39.8%

      \[\leadsto \sqrt{\frac{\color{blue}{\left(2 \cdot n\right) \cdot \pi}}{k}} \]
    5. *-commutative39.8%

      \[\leadsto \sqrt{\frac{\color{blue}{\left(n \cdot 2\right)} \cdot \pi}{k}} \]
    6. associate-*r/39.8%

      \[\leadsto \sqrt{\color{blue}{\left(n \cdot 2\right) \cdot \frac{\pi}{k}}} \]
    7. clear-num39.7%

      \[\leadsto \sqrt{\left(n \cdot 2\right) \cdot \color{blue}{\frac{1}{\frac{k}{\pi}}}} \]
    8. un-div-inv39.8%

      \[\leadsto \sqrt{\color{blue}{\frac{n \cdot 2}{\frac{k}{\pi}}}} \]
  11. Applied egg-rr39.8%

    \[\leadsto \sqrt{\color{blue}{\frac{n \cdot 2}{\frac{k}{\pi}}}} \]
  12. Add Preprocessing

Alternative 11: 38.3% accurate, 2.0× speedup?

\[\begin{array}{l} \\ \sqrt{2 \cdot \left(\pi \cdot \frac{n}{k}\right)} \end{array} \]
(FPCore (k n) :precision binary64 (sqrt (* 2.0 (* PI (/ n k)))))
double code(double k, double n) {
	return sqrt((2.0 * (((double) M_PI) * (n / k))));
}
public static double code(double k, double n) {
	return Math.sqrt((2.0 * (Math.PI * (n / k))));
}
def code(k, n):
	return math.sqrt((2.0 * (math.pi * (n / k))))
function code(k, n)
	return sqrt(Float64(2.0 * Float64(pi * Float64(n / k))))
end
function tmp = code(k, n)
	tmp = sqrt((2.0 * (pi * (n / k))));
end
code[k_, n_] := N[Sqrt[N[(2.0 * N[(Pi * N[(n / k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}

\\
\sqrt{2 \cdot \left(\pi \cdot \frac{n}{k}\right)}
\end{array}
Derivation
  1. Initial program 99.5%

    \[\frac{1}{\sqrt{k}} \cdot {\left(\left(2 \cdot \pi\right) \cdot n\right)}^{\left(\frac{1 - k}{2}\right)} \]
  2. Add Preprocessing
  3. Taylor expanded in k around 0 39.6%

    \[\leadsto \color{blue}{\sqrt{\frac{n \cdot \pi}{k}} \cdot \sqrt{2}} \]
  4. Step-by-step derivation
    1. *-commutative39.6%

      \[\leadsto \color{blue}{\sqrt{2} \cdot \sqrt{\frac{n \cdot \pi}{k}}} \]
    2. associate-/l*39.7%

      \[\leadsto \sqrt{2} \cdot \sqrt{\color{blue}{n \cdot \frac{\pi}{k}}} \]
  5. Simplified39.7%

    \[\leadsto \color{blue}{\sqrt{2} \cdot \sqrt{n \cdot \frac{\pi}{k}}} \]
  6. Step-by-step derivation
    1. sqrt-unprod39.8%

      \[\leadsto \color{blue}{\sqrt{2 \cdot \left(n \cdot \frac{\pi}{k}\right)}} \]
    2. associate-*r/39.8%

      \[\leadsto \sqrt{2 \cdot \color{blue}{\frac{n \cdot \pi}{k}}} \]
  7. Applied egg-rr39.8%

    \[\leadsto \color{blue}{\sqrt{2 \cdot \frac{n \cdot \pi}{k}}} \]
  8. Step-by-step derivation
    1. *-commutative39.8%

      \[\leadsto \sqrt{2 \cdot \frac{\color{blue}{\pi \cdot n}}{k}} \]
    2. associate-/l*39.8%

      \[\leadsto \sqrt{2 \cdot \color{blue}{\left(\pi \cdot \frac{n}{k}\right)}} \]
  9. Applied egg-rr39.8%

    \[\leadsto \sqrt{2 \cdot \color{blue}{\left(\pi \cdot \frac{n}{k}\right)}} \]
  10. Add Preprocessing

Reproduce

?
herbie shell --seed 2024121 
(FPCore (k n)
  :name "Migdal et al, Equation (51)"
  :precision binary64
  (* (/ 1.0 (sqrt k)) (pow (* (* 2.0 PI) n) (/ (- 1.0 k) 2.0))))