Migdal et al, Equation (51)

Percentage Accurate: 99.4% → 99.4%
Time: 13.5s
Alternatives: 6
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 6 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, 1.0× speedup?

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

\\
\frac{{k}^{-0.5}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(-0.5 + \frac{k}{2}\right)}}
\end{array}
Derivation
  1. Initial program 99.2%

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

      \[\leadsto \frac{1}{\sqrt{k}} \cdot {\left(2 \cdot \left(\mathsf{PI}\left(\right) \cdot n\right)\right)}^{\left(\frac{\color{blue}{1 - k}}{2}\right)} \]
    2. div-subN/A

      \[\leadsto \frac{1}{\sqrt{k}} \cdot {\left(2 \cdot \left(\mathsf{PI}\left(\right) \cdot n\right)\right)}^{\left(\frac{1}{2} - \color{blue}{\frac{k}{2}}\right)} \]
    3. metadata-evalN/A

      \[\leadsto \frac{1}{\sqrt{k}} \cdot {\left(2 \cdot \left(\mathsf{PI}\left(\right) \cdot n\right)\right)}^{\left(\frac{1}{2} - \frac{\color{blue}{k}}{2}\right)} \]
    4. pow-subN/A

      \[\leadsto \frac{1}{\sqrt{k}} \cdot \frac{{\left(2 \cdot \left(\mathsf{PI}\left(\right) \cdot n\right)\right)}^{\frac{1}{2}}}{\color{blue}{{\left(2 \cdot \left(\mathsf{PI}\left(\right) \cdot n\right)\right)}^{\left(\frac{k}{2}\right)}}} \]
    5. clear-numN/A

      \[\leadsto \frac{1}{\sqrt{k}} \cdot \frac{1}{\color{blue}{\frac{{\left(2 \cdot \left(\mathsf{PI}\left(\right) \cdot n\right)\right)}^{\left(\frac{k}{2}\right)}}{{\left(2 \cdot \left(\mathsf{PI}\left(\right) \cdot n\right)\right)}^{\frac{1}{2}}}}} \]
    6. un-div-invN/A

      \[\leadsto \frac{\frac{1}{\sqrt{k}}}{\color{blue}{\frac{{\left(2 \cdot \left(\mathsf{PI}\left(\right) \cdot n\right)\right)}^{\left(\frac{k}{2}\right)}}{{\left(2 \cdot \left(\mathsf{PI}\left(\right) \cdot n\right)\right)}^{\frac{1}{2}}}}} \]
    7. /-lowering-/.f64N/A

      \[\leadsto \mathsf{/.f64}\left(\left(\frac{1}{\sqrt{k}}\right), \color{blue}{\left(\frac{{\left(2 \cdot \left(\mathsf{PI}\left(\right) \cdot n\right)\right)}^{\left(\frac{k}{2}\right)}}{{\left(2 \cdot \left(\mathsf{PI}\left(\right) \cdot n\right)\right)}^{\frac{1}{2}}}\right)}\right) \]
    8. inv-powN/A

      \[\leadsto \mathsf{/.f64}\left(\left({\left(\sqrt{k}\right)}^{-1}\right), \left(\frac{\color{blue}{{\left(2 \cdot \left(\mathsf{PI}\left(\right) \cdot n\right)\right)}^{\left(\frac{k}{2}\right)}}}{{\left(2 \cdot \left(\mathsf{PI}\left(\right) \cdot n\right)\right)}^{\frac{1}{2}}}\right)\right) \]
    9. pow1/2N/A

      \[\leadsto \mathsf{/.f64}\left(\left({\left({k}^{\frac{1}{2}}\right)}^{-1}\right), \left(\frac{{\color{blue}{\left(2 \cdot \left(\mathsf{PI}\left(\right) \cdot n\right)\right)}}^{\left(\frac{k}{2}\right)}}{{\left(2 \cdot \left(\mathsf{PI}\left(\right) \cdot n\right)\right)}^{\frac{1}{2}}}\right)\right) \]
    10. pow-powN/A

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

      \[\leadsto \mathsf{/.f64}\left(\mathsf{pow.f64}\left(k, \left(\frac{1}{2} \cdot -1\right)\right), \left(\frac{\color{blue}{{\left(2 \cdot \left(\mathsf{PI}\left(\right) \cdot n\right)\right)}^{\left(\frac{k}{2}\right)}}}{{\left(2 \cdot \left(\mathsf{PI}\left(\right) \cdot n\right)\right)}^{\frac{1}{2}}}\right)\right) \]
    12. metadata-evalN/A

      \[\leadsto \mathsf{/.f64}\left(\mathsf{pow.f64}\left(k, \frac{-1}{2}\right), \left(\frac{{\left(2 \cdot \left(\mathsf{PI}\left(\right) \cdot n\right)\right)}^{\color{blue}{\left(\frac{k}{2}\right)}}}{{\left(2 \cdot \left(\mathsf{PI}\left(\right) \cdot n\right)\right)}^{\frac{1}{2}}}\right)\right) \]
    13. clear-numN/A

      \[\leadsto \mathsf{/.f64}\left(\mathsf{pow.f64}\left(k, \frac{-1}{2}\right), \left(\frac{1}{\color{blue}{\frac{{\left(2 \cdot \left(\mathsf{PI}\left(\right) \cdot n\right)\right)}^{\frac{1}{2}}}{{\left(2 \cdot \left(\mathsf{PI}\left(\right) \cdot n\right)\right)}^{\left(\frac{k}{2}\right)}}}}\right)\right) \]
    14. pow-subN/A

      \[\leadsto \mathsf{/.f64}\left(\mathsf{pow.f64}\left(k, \frac{-1}{2}\right), \left(\frac{1}{{\left(2 \cdot \left(\mathsf{PI}\left(\right) \cdot n\right)\right)}^{\color{blue}{\left(\frac{1}{2} - \frac{k}{2}\right)}}}\right)\right) \]
  4. Applied egg-rr99.3%

    \[\leadsto \color{blue}{\frac{{k}^{-0.5}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(\frac{k}{2} + -0.5\right)}}} \]
  5. Final simplification99.3%

    \[\leadsto \frac{{k}^{-0.5}}{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(-0.5 + \frac{k}{2}\right)}} \]
  6. Add Preprocessing

Alternative 2: 52.2% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{2}{\frac{k}{\pi \cdot n}}\\ \mathbf{if}\;k \leq 3 \cdot 10^{+163}:\\ \;\;\;\;\sqrt{n} \cdot \sqrt{2 \cdot \frac{\pi}{k}}\\ \mathbf{else}:\\ \;\;\;\;{\left(t\_0 \cdot t\_0\right)}^{0.25}\\ \end{array} \end{array} \]
(FPCore (k n)
 :precision binary64
 (let* ((t_0 (/ 2.0 (/ k (* PI n)))))
   (if (<= k 3e+163)
     (* (sqrt n) (sqrt (* 2.0 (/ PI k))))
     (pow (* t_0 t_0) 0.25))))
double code(double k, double n) {
	double t_0 = 2.0 / (k / (((double) M_PI) * n));
	double tmp;
	if (k <= 3e+163) {
		tmp = sqrt(n) * sqrt((2.0 * (((double) M_PI) / k)));
	} else {
		tmp = pow((t_0 * t_0), 0.25);
	}
	return tmp;
}
public static double code(double k, double n) {
	double t_0 = 2.0 / (k / (Math.PI * n));
	double tmp;
	if (k <= 3e+163) {
		tmp = Math.sqrt(n) * Math.sqrt((2.0 * (Math.PI / k)));
	} else {
		tmp = Math.pow((t_0 * t_0), 0.25);
	}
	return tmp;
}
def code(k, n):
	t_0 = 2.0 / (k / (math.pi * n))
	tmp = 0
	if k <= 3e+163:
		tmp = math.sqrt(n) * math.sqrt((2.0 * (math.pi / k)))
	else:
		tmp = math.pow((t_0 * t_0), 0.25)
	return tmp
function code(k, n)
	t_0 = Float64(2.0 / Float64(k / Float64(pi * n)))
	tmp = 0.0
	if (k <= 3e+163)
		tmp = Float64(sqrt(n) * sqrt(Float64(2.0 * Float64(pi / k))));
	else
		tmp = Float64(t_0 * t_0) ^ 0.25;
	end
	return tmp
end
function tmp_2 = code(k, n)
	t_0 = 2.0 / (k / (pi * n));
	tmp = 0.0;
	if (k <= 3e+163)
		tmp = sqrt(n) * sqrt((2.0 * (pi / k)));
	else
		tmp = (t_0 * t_0) ^ 0.25;
	end
	tmp_2 = tmp;
end
code[k_, n_] := Block[{t$95$0 = N[(2.0 / N[(k / N[(Pi * n), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[k, 3e+163], N[(N[Sqrt[n], $MachinePrecision] * N[Sqrt[N[(2.0 * N[(Pi / k), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[Power[N[(t$95$0 * t$95$0), $MachinePrecision], 0.25], $MachinePrecision]]]
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \frac{2}{\frac{k}{\pi \cdot n}}\\
\mathbf{if}\;k \leq 3 \cdot 10^{+163}:\\
\;\;\;\;\sqrt{n} \cdot \sqrt{2 \cdot \frac{\pi}{k}}\\

\mathbf{else}:\\
\;\;\;\;{\left(t\_0 \cdot t\_0\right)}^{0.25}\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if k < 3.00000000000000013e163

    1. Initial program 98.9%

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

      \[\leadsto \color{blue}{\sqrt{\frac{n \cdot \mathsf{PI}\left(\right)}{k}} \cdot \sqrt{2}} \]
    4. Step-by-step derivation
      1. *-lowering-*.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\left(\sqrt{\frac{n \cdot \mathsf{PI}\left(\right)}{k}}\right), \color{blue}{\left(\sqrt{2}\right)}\right) \]
      2. sqrt-lowering-sqrt.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{sqrt.f64}\left(\left(\frac{n \cdot \mathsf{PI}\left(\right)}{k}\right)\right), \left(\sqrt{\color{blue}{2}}\right)\right) \]
      3. /-lowering-/.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(\left(n \cdot \mathsf{PI}\left(\right)\right), k\right)\right), \left(\sqrt{2}\right)\right) \]
      4. *-lowering-*.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(n, \mathsf{PI}\left(\right)\right), k\right)\right), \left(\sqrt{2}\right)\right) \]
      5. PI-lowering-PI.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(n, \mathsf{PI.f64}\left(\right)\right), k\right)\right), \left(\sqrt{2}\right)\right) \]
      6. sqrt-lowering-sqrt.f6448.1%

        \[\leadsto \mathsf{*.f64}\left(\mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(n, \mathsf{PI.f64}\left(\right)\right), k\right)\right), \mathsf{sqrt.f64}\left(2\right)\right) \]
    5. Simplified48.1%

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

        \[\leadsto \sqrt{\frac{n \cdot \mathsf{PI}\left(\right)}{k} \cdot 2} \]
      2. associate-/l*N/A

        \[\leadsto \sqrt{\left(n \cdot \frac{\mathsf{PI}\left(\right)}{k}\right) \cdot 2} \]
      3. associate-*l*N/A

        \[\leadsto \sqrt{n \cdot \left(\frac{\mathsf{PI}\left(\right)}{k} \cdot 2\right)} \]
      4. sqrt-prodN/A

        \[\leadsto \sqrt{n} \cdot \color{blue}{\sqrt{\frac{\mathsf{PI}\left(\right)}{k} \cdot 2}} \]
      5. pow1/2N/A

        \[\leadsto {n}^{\frac{1}{2}} \cdot \sqrt{\color{blue}{\frac{\mathsf{PI}\left(\right)}{k} \cdot 2}} \]
      6. *-lowering-*.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\left({n}^{\frac{1}{2}}\right), \color{blue}{\left(\sqrt{\frac{\mathsf{PI}\left(\right)}{k} \cdot 2}\right)}\right) \]
      7. pow1/2N/A

        \[\leadsto \mathsf{*.f64}\left(\left(\sqrt{n}\right), \left(\sqrt{\color{blue}{\frac{\mathsf{PI}\left(\right)}{k} \cdot 2}}\right)\right) \]
      8. sqrt-lowering-sqrt.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{sqrt.f64}\left(n\right), \left(\sqrt{\color{blue}{\frac{\mathsf{PI}\left(\right)}{k} \cdot 2}}\right)\right) \]
      9. sqrt-lowering-sqrt.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{sqrt.f64}\left(n\right), \mathsf{sqrt.f64}\left(\left(\frac{\mathsf{PI}\left(\right)}{k} \cdot 2\right)\right)\right) \]
      10. *-lowering-*.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{sqrt.f64}\left(n\right), \mathsf{sqrt.f64}\left(\mathsf{*.f64}\left(\left(\frac{\mathsf{PI}\left(\right)}{k}\right), 2\right)\right)\right) \]
      11. /-lowering-/.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{sqrt.f64}\left(n\right), \mathsf{sqrt.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\mathsf{PI}\left(\right), k\right), 2\right)\right)\right) \]
      12. PI-lowering-PI.f6457.7%

        \[\leadsto \mathsf{*.f64}\left(\mathsf{sqrt.f64}\left(n\right), \mathsf{sqrt.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(\mathsf{PI.f64}\left(\right), k\right), 2\right)\right)\right) \]
    7. Applied egg-rr57.7%

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

    if 3.00000000000000013e163 < 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

      \[\leadsto \color{blue}{\sqrt{\frac{n \cdot \mathsf{PI}\left(\right)}{k}} \cdot \sqrt{2}} \]
    4. Step-by-step derivation
      1. *-lowering-*.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\left(\sqrt{\frac{n \cdot \mathsf{PI}\left(\right)}{k}}\right), \color{blue}{\left(\sqrt{2}\right)}\right) \]
      2. sqrt-lowering-sqrt.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{sqrt.f64}\left(\left(\frac{n \cdot \mathsf{PI}\left(\right)}{k}\right)\right), \left(\sqrt{\color{blue}{2}}\right)\right) \]
      3. /-lowering-/.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(\left(n \cdot \mathsf{PI}\left(\right)\right), k\right)\right), \left(\sqrt{2}\right)\right) \]
      4. *-lowering-*.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(n, \mathsf{PI}\left(\right)\right), k\right)\right), \left(\sqrt{2}\right)\right) \]
      5. PI-lowering-PI.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(n, \mathsf{PI.f64}\left(\right)\right), k\right)\right), \left(\sqrt{2}\right)\right) \]
      6. sqrt-lowering-sqrt.f642.7%

        \[\leadsto \mathsf{*.f64}\left(\mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(n, \mathsf{PI.f64}\left(\right)\right), k\right)\right), \mathsf{sqrt.f64}\left(2\right)\right) \]
    5. Simplified2.7%

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

        \[\leadsto \sqrt{\frac{n \cdot \mathsf{PI}\left(\right)}{k} \cdot 2} \]
      2. sqrt-lowering-sqrt.f64N/A

        \[\leadsto \mathsf{sqrt.f64}\left(\left(\frac{n \cdot \mathsf{PI}\left(\right)}{k} \cdot 2\right)\right) \]
      3. clear-numN/A

        \[\leadsto \mathsf{sqrt.f64}\left(\left(\frac{1}{\frac{k}{n \cdot \mathsf{PI}\left(\right)}} \cdot 2\right)\right) \]
      4. associate-*l/N/A

        \[\leadsto \mathsf{sqrt.f64}\left(\left(\frac{1 \cdot 2}{\frac{k}{n \cdot \mathsf{PI}\left(\right)}}\right)\right) \]
      5. metadata-evalN/A

        \[\leadsto \mathsf{sqrt.f64}\left(\left(\frac{2}{\frac{k}{n \cdot \mathsf{PI}\left(\right)}}\right)\right) \]
      6. /-lowering-/.f64N/A

        \[\leadsto \mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(2, \left(\frac{k}{n \cdot \mathsf{PI}\left(\right)}\right)\right)\right) \]
      7. *-commutativeN/A

        \[\leadsto \mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(2, \left(\frac{k}{\mathsf{PI}\left(\right) \cdot n}\right)\right)\right) \]
      8. /-lowering-/.f64N/A

        \[\leadsto \mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(2, \mathsf{/.f64}\left(k, \left(\mathsf{PI}\left(\right) \cdot n\right)\right)\right)\right) \]
      9. *-lowering-*.f64N/A

        \[\leadsto \mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(2, \mathsf{/.f64}\left(k, \mathsf{*.f64}\left(\mathsf{PI}\left(\right), n\right)\right)\right)\right) \]
      10. PI-lowering-PI.f642.7%

        \[\leadsto \mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(2, \mathsf{/.f64}\left(k, \mathsf{*.f64}\left(\mathsf{PI.f64}\left(\right), n\right)\right)\right)\right) \]
    7. Applied egg-rr2.7%

      \[\leadsto \color{blue}{\sqrt{\frac{2}{\frac{k}{\pi \cdot n}}}} \]
    8. Step-by-step derivation
      1. pow1/2N/A

        \[\leadsto {\left(\frac{2}{\frac{k}{\mathsf{PI}\left(\right) \cdot n}}\right)}^{\color{blue}{\frac{1}{2}}} \]
      2. sqr-powN/A

        \[\leadsto {\left(\frac{2}{\frac{k}{\mathsf{PI}\left(\right) \cdot n}}\right)}^{\left(\frac{\frac{1}{2}}{2}\right)} \cdot \color{blue}{{\left(\frac{2}{\frac{k}{\mathsf{PI}\left(\right) \cdot n}}\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}} \]
      3. pow-prod-downN/A

        \[\leadsto {\left(\frac{2}{\frac{k}{\mathsf{PI}\left(\right) \cdot n}} \cdot \frac{2}{\frac{k}{\mathsf{PI}\left(\right) \cdot n}}\right)}^{\color{blue}{\left(\frac{\frac{1}{2}}{2}\right)}} \]
      4. pow-lowering-pow.f64N/A

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

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

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

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

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

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

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

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

        \[\leadsto \mathsf{pow.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(2, \mathsf{/.f64}\left(k, \mathsf{*.f64}\left(\mathsf{PI.f64}\left(\right), n\right)\right)\right), \mathsf{/.f64}\left(2, \mathsf{/.f64}\left(k, \mathsf{*.f64}\left(\mathsf{PI}\left(\right), n\right)\right)\right)\right), \left(\frac{\frac{1}{2}}{2}\right)\right) \]
      13. PI-lowering-PI.f64N/A

        \[\leadsto \mathsf{pow.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(2, \mathsf{/.f64}\left(k, \mathsf{*.f64}\left(\mathsf{PI.f64}\left(\right), n\right)\right)\right), \mathsf{/.f64}\left(2, \mathsf{/.f64}\left(k, \mathsf{*.f64}\left(\mathsf{PI.f64}\left(\right), n\right)\right)\right)\right), \left(\frac{\frac{1}{2}}{2}\right)\right) \]
      14. metadata-eval18.1%

        \[\leadsto \mathsf{pow.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(2, \mathsf{/.f64}\left(k, \mathsf{*.f64}\left(\mathsf{PI.f64}\left(\right), n\right)\right)\right), \mathsf{/.f64}\left(2, \mathsf{/.f64}\left(k, \mathsf{*.f64}\left(\mathsf{PI.f64}\left(\right), n\right)\right)\right)\right), \frac{1}{4}\right) \]
    9. Applied egg-rr18.1%

      \[\leadsto \color{blue}{{\left(\frac{2}{\frac{k}{\pi \cdot n}} \cdot \frac{2}{\frac{k}{\pi \cdot n}}\right)}^{0.25}} \]
  3. Recombined 2 regimes into one program.
  4. Final simplification48.1%

    \[\leadsto \begin{array}{l} \mathbf{if}\;k \leq 3 \cdot 10^{+163}:\\ \;\;\;\;\sqrt{n} \cdot \sqrt{2 \cdot \frac{\pi}{k}}\\ \mathbf{else}:\\ \;\;\;\;{\left(\frac{2}{\frac{k}{\pi \cdot n}} \cdot \frac{2}{\frac{k}{\pi \cdot n}}\right)}^{0.25}\\ \end{array} \]
  5. Add Preprocessing

Alternative 3: 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 99.2%

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

      \[\leadsto \frac{1 \cdot {\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot n\right)}^{\left(\frac{1 - k}{2}\right)}}{\color{blue}{\sqrt{k}}} \]
    2. *-lft-identityN/A

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

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

      \[\leadsto \mathsf{/.f64}\left(\mathsf{pow.f64}\left(\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot n\right), \left(\frac{1 - k}{2}\right)\right), \left(\sqrt{\color{blue}{k}}\right)\right) \]
    5. associate-*l*N/A

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

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

      \[\leadsto \mathsf{/.f64}\left(\mathsf{pow.f64}\left(\mathsf{*.f64}\left(2, \mathsf{*.f64}\left(\mathsf{PI}\left(\right), n\right)\right), \left(\frac{1 - k}{2}\right)\right), \left(\sqrt{k}\right)\right) \]
    8. PI-lowering-PI.f64N/A

      \[\leadsto \mathsf{/.f64}\left(\mathsf{pow.f64}\left(\mathsf{*.f64}\left(2, \mathsf{*.f64}\left(\mathsf{PI.f64}\left(\right), n\right)\right), \left(\frac{1 - k}{2}\right)\right), \left(\sqrt{k}\right)\right) \]
    9. div-subN/A

      \[\leadsto \mathsf{/.f64}\left(\mathsf{pow.f64}\left(\mathsf{*.f64}\left(2, \mathsf{*.f64}\left(\mathsf{PI.f64}\left(\right), n\right)\right), \left(\frac{1}{2} - \frac{k}{2}\right)\right), \left(\sqrt{k}\right)\right) \]
    10. --lowering--.f64N/A

      \[\leadsto \mathsf{/.f64}\left(\mathsf{pow.f64}\left(\mathsf{*.f64}\left(2, \mathsf{*.f64}\left(\mathsf{PI.f64}\left(\right), n\right)\right), \mathsf{\_.f64}\left(\left(\frac{1}{2}\right), \left(\frac{k}{2}\right)\right)\right), \left(\sqrt{k}\right)\right) \]
    11. metadata-evalN/A

      \[\leadsto \mathsf{/.f64}\left(\mathsf{pow.f64}\left(\mathsf{*.f64}\left(2, \mathsf{*.f64}\left(\mathsf{PI.f64}\left(\right), n\right)\right), \mathsf{\_.f64}\left(\frac{1}{2}, \left(\frac{k}{2}\right)\right)\right), \left(\sqrt{k}\right)\right) \]
    12. /-lowering-/.f64N/A

      \[\leadsto \mathsf{/.f64}\left(\mathsf{pow.f64}\left(\mathsf{*.f64}\left(2, \mathsf{*.f64}\left(\mathsf{PI.f64}\left(\right), n\right)\right), \mathsf{\_.f64}\left(\frac{1}{2}, \mathsf{/.f64}\left(k, 2\right)\right)\right), \left(\sqrt{k}\right)\right) \]
    13. sqrt-lowering-sqrt.f6499.3%

      \[\leadsto \mathsf{/.f64}\left(\mathsf{pow.f64}\left(\mathsf{*.f64}\left(2, \mathsf{*.f64}\left(\mathsf{PI.f64}\left(\right), n\right)\right), \mathsf{\_.f64}\left(\frac{1}{2}, \mathsf{/.f64}\left(k, 2\right)\right)\right), \mathsf{sqrt.f64}\left(k\right)\right) \]
  3. Simplified99.3%

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

Alternative 4: 41.3% accurate, 1.8× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{k}{\pi \cdot n}\\ t_1 := \frac{2}{t\_0}\\ \mathbf{if}\;k \leq 6.6 \cdot 10^{+161}:\\ \;\;\;\;{\left(\frac{t\_0}{2}\right)}^{-0.5}\\ \mathbf{else}:\\ \;\;\;\;{\left(t\_1 \cdot t\_1\right)}^{0.25}\\ \end{array} \end{array} \]
(FPCore (k n)
 :precision binary64
 (let* ((t_0 (/ k (* PI n))) (t_1 (/ 2.0 t_0)))
   (if (<= k 6.6e+161) (pow (/ t_0 2.0) -0.5) (pow (* t_1 t_1) 0.25))))
double code(double k, double n) {
	double t_0 = k / (((double) M_PI) * n);
	double t_1 = 2.0 / t_0;
	double tmp;
	if (k <= 6.6e+161) {
		tmp = pow((t_0 / 2.0), -0.5);
	} else {
		tmp = pow((t_1 * t_1), 0.25);
	}
	return tmp;
}
public static double code(double k, double n) {
	double t_0 = k / (Math.PI * n);
	double t_1 = 2.0 / t_0;
	double tmp;
	if (k <= 6.6e+161) {
		tmp = Math.pow((t_0 / 2.0), -0.5);
	} else {
		tmp = Math.pow((t_1 * t_1), 0.25);
	}
	return tmp;
}
def code(k, n):
	t_0 = k / (math.pi * n)
	t_1 = 2.0 / t_0
	tmp = 0
	if k <= 6.6e+161:
		tmp = math.pow((t_0 / 2.0), -0.5)
	else:
		tmp = math.pow((t_1 * t_1), 0.25)
	return tmp
function code(k, n)
	t_0 = Float64(k / Float64(pi * n))
	t_1 = Float64(2.0 / t_0)
	tmp = 0.0
	if (k <= 6.6e+161)
		tmp = Float64(t_0 / 2.0) ^ -0.5;
	else
		tmp = Float64(t_1 * t_1) ^ 0.25;
	end
	return tmp
end
function tmp_2 = code(k, n)
	t_0 = k / (pi * n);
	t_1 = 2.0 / t_0;
	tmp = 0.0;
	if (k <= 6.6e+161)
		tmp = (t_0 / 2.0) ^ -0.5;
	else
		tmp = (t_1 * t_1) ^ 0.25;
	end
	tmp_2 = tmp;
end
code[k_, n_] := Block[{t$95$0 = N[(k / N[(Pi * n), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(2.0 / t$95$0), $MachinePrecision]}, If[LessEqual[k, 6.6e+161], N[Power[N[(t$95$0 / 2.0), $MachinePrecision], -0.5], $MachinePrecision], N[Power[N[(t$95$1 * t$95$1), $MachinePrecision], 0.25], $MachinePrecision]]]]
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \frac{k}{\pi \cdot n}\\
t_1 := \frac{2}{t\_0}\\
\mathbf{if}\;k \leq 6.6 \cdot 10^{+161}:\\
\;\;\;\;{\left(\frac{t\_0}{2}\right)}^{-0.5}\\

\mathbf{else}:\\
\;\;\;\;{\left(t\_1 \cdot t\_1\right)}^{0.25}\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if k < 6.59999999999999995e161

    1. Initial program 98.9%

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

      \[\leadsto \color{blue}{\sqrt{\frac{n \cdot \mathsf{PI}\left(\right)}{k}} \cdot \sqrt{2}} \]
    4. Step-by-step derivation
      1. *-lowering-*.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\left(\sqrt{\frac{n \cdot \mathsf{PI}\left(\right)}{k}}\right), \color{blue}{\left(\sqrt{2}\right)}\right) \]
      2. sqrt-lowering-sqrt.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{sqrt.f64}\left(\left(\frac{n \cdot \mathsf{PI}\left(\right)}{k}\right)\right), \left(\sqrt{\color{blue}{2}}\right)\right) \]
      3. /-lowering-/.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(\left(n \cdot \mathsf{PI}\left(\right)\right), k\right)\right), \left(\sqrt{2}\right)\right) \]
      4. *-lowering-*.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(n, \mathsf{PI}\left(\right)\right), k\right)\right), \left(\sqrt{2}\right)\right) \]
      5. PI-lowering-PI.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(n, \mathsf{PI.f64}\left(\right)\right), k\right)\right), \left(\sqrt{2}\right)\right) \]
      6. sqrt-lowering-sqrt.f6448.3%

        \[\leadsto \mathsf{*.f64}\left(\mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(n, \mathsf{PI.f64}\left(\right)\right), k\right)\right), \mathsf{sqrt.f64}\left(2\right)\right) \]
    5. Simplified48.3%

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

        \[\leadsto \sqrt{\frac{n \cdot \mathsf{PI}\left(\right)}{k} \cdot 2} \]
      2. sqrt-lowering-sqrt.f64N/A

        \[\leadsto \mathsf{sqrt.f64}\left(\left(\frac{n \cdot \mathsf{PI}\left(\right)}{k} \cdot 2\right)\right) \]
      3. clear-numN/A

        \[\leadsto \mathsf{sqrt.f64}\left(\left(\frac{1}{\frac{k}{n \cdot \mathsf{PI}\left(\right)}} \cdot 2\right)\right) \]
      4. associate-*l/N/A

        \[\leadsto \mathsf{sqrt.f64}\left(\left(\frac{1 \cdot 2}{\frac{k}{n \cdot \mathsf{PI}\left(\right)}}\right)\right) \]
      5. metadata-evalN/A

        \[\leadsto \mathsf{sqrt.f64}\left(\left(\frac{2}{\frac{k}{n \cdot \mathsf{PI}\left(\right)}}\right)\right) \]
      6. /-lowering-/.f64N/A

        \[\leadsto \mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(2, \left(\frac{k}{n \cdot \mathsf{PI}\left(\right)}\right)\right)\right) \]
      7. *-commutativeN/A

        \[\leadsto \mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(2, \left(\frac{k}{\mathsf{PI}\left(\right) \cdot n}\right)\right)\right) \]
      8. /-lowering-/.f64N/A

        \[\leadsto \mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(2, \mathsf{/.f64}\left(k, \left(\mathsf{PI}\left(\right) \cdot n\right)\right)\right)\right) \]
      9. *-lowering-*.f64N/A

        \[\leadsto \mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(2, \mathsf{/.f64}\left(k, \mathsf{*.f64}\left(\mathsf{PI}\left(\right), n\right)\right)\right)\right) \]
      10. PI-lowering-PI.f6448.4%

        \[\leadsto \mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(2, \mathsf{/.f64}\left(k, \mathsf{*.f64}\left(\mathsf{PI.f64}\left(\right), n\right)\right)\right)\right) \]
    7. Applied egg-rr48.4%

      \[\leadsto \color{blue}{\sqrt{\frac{2}{\frac{k}{\pi \cdot n}}}} \]
    8. Step-by-step derivation
      1. clear-numN/A

        \[\leadsto \sqrt{\frac{1}{\frac{\frac{k}{\mathsf{PI}\left(\right) \cdot n}}{2}}} \]
      2. inv-powN/A

        \[\leadsto \sqrt{{\left(\frac{\frac{k}{\mathsf{PI}\left(\right) \cdot n}}{2}\right)}^{-1}} \]
      3. sqrt-pow1N/A

        \[\leadsto {\left(\frac{\frac{k}{\mathsf{PI}\left(\right) \cdot n}}{2}\right)}^{\color{blue}{\left(\frac{-1}{2}\right)}} \]
      4. metadata-evalN/A

        \[\leadsto {\left(\frac{\frac{k}{\mathsf{PI}\left(\right) \cdot n}}{2}\right)}^{\frac{-1}{2}} \]
      5. metadata-evalN/A

        \[\leadsto {\left(\frac{\frac{k}{\mathsf{PI}\left(\right) \cdot n}}{2}\right)}^{\left(\mathsf{neg}\left(\frac{1}{2}\right)\right)} \]
      6. pow-lowering-pow.f64N/A

        \[\leadsto \mathsf{pow.f64}\left(\left(\frac{\frac{k}{\mathsf{PI}\left(\right) \cdot n}}{2}\right), \color{blue}{\left(\mathsf{neg}\left(\frac{1}{2}\right)\right)}\right) \]
      7. /-lowering-/.f64N/A

        \[\leadsto \mathsf{pow.f64}\left(\mathsf{/.f64}\left(\left(\frac{k}{\mathsf{PI}\left(\right) \cdot n}\right), 2\right), \left(\mathsf{neg}\left(\color{blue}{\frac{1}{2}}\right)\right)\right) \]
      8. /-lowering-/.f64N/A

        \[\leadsto \mathsf{pow.f64}\left(\mathsf{/.f64}\left(\mathsf{/.f64}\left(k, \left(\mathsf{PI}\left(\right) \cdot n\right)\right), 2\right), \left(\mathsf{neg}\left(\frac{1}{2}\right)\right)\right) \]
      9. *-lowering-*.f64N/A

        \[\leadsto \mathsf{pow.f64}\left(\mathsf{/.f64}\left(\mathsf{/.f64}\left(k, \mathsf{*.f64}\left(\mathsf{PI}\left(\right), n\right)\right), 2\right), \left(\mathsf{neg}\left(\frac{1}{2}\right)\right)\right) \]
      10. PI-lowering-PI.f64N/A

        \[\leadsto \mathsf{pow.f64}\left(\mathsf{/.f64}\left(\mathsf{/.f64}\left(k, \mathsf{*.f64}\left(\mathsf{PI.f64}\left(\right), n\right)\right), 2\right), \left(\mathsf{neg}\left(\frac{1}{2}\right)\right)\right) \]
      11. metadata-eval50.4%

        \[\leadsto \mathsf{pow.f64}\left(\mathsf{/.f64}\left(\mathsf{/.f64}\left(k, \mathsf{*.f64}\left(\mathsf{PI.f64}\left(\right), n\right)\right), 2\right), \frac{-1}{2}\right) \]
    9. Applied egg-rr50.4%

      \[\leadsto \color{blue}{{\left(\frac{\frac{k}{\pi \cdot n}}{2}\right)}^{-0.5}} \]

    if 6.59999999999999995e161 < 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

      \[\leadsto \color{blue}{\sqrt{\frac{n \cdot \mathsf{PI}\left(\right)}{k}} \cdot \sqrt{2}} \]
    4. Step-by-step derivation
      1. *-lowering-*.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\left(\sqrt{\frac{n \cdot \mathsf{PI}\left(\right)}{k}}\right), \color{blue}{\left(\sqrt{2}\right)}\right) \]
      2. sqrt-lowering-sqrt.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{sqrt.f64}\left(\left(\frac{n \cdot \mathsf{PI}\left(\right)}{k}\right)\right), \left(\sqrt{\color{blue}{2}}\right)\right) \]
      3. /-lowering-/.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(\left(n \cdot \mathsf{PI}\left(\right)\right), k\right)\right), \left(\sqrt{2}\right)\right) \]
      4. *-lowering-*.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(n, \mathsf{PI}\left(\right)\right), k\right)\right), \left(\sqrt{2}\right)\right) \]
      5. PI-lowering-PI.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(n, \mathsf{PI.f64}\left(\right)\right), k\right)\right), \left(\sqrt{2}\right)\right) \]
      6. sqrt-lowering-sqrt.f642.7%

        \[\leadsto \mathsf{*.f64}\left(\mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(n, \mathsf{PI.f64}\left(\right)\right), k\right)\right), \mathsf{sqrt.f64}\left(2\right)\right) \]
    5. Simplified2.7%

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

        \[\leadsto \sqrt{\frac{n \cdot \mathsf{PI}\left(\right)}{k} \cdot 2} \]
      2. sqrt-lowering-sqrt.f64N/A

        \[\leadsto \mathsf{sqrt.f64}\left(\left(\frac{n \cdot \mathsf{PI}\left(\right)}{k} \cdot 2\right)\right) \]
      3. clear-numN/A

        \[\leadsto \mathsf{sqrt.f64}\left(\left(\frac{1}{\frac{k}{n \cdot \mathsf{PI}\left(\right)}} \cdot 2\right)\right) \]
      4. associate-*l/N/A

        \[\leadsto \mathsf{sqrt.f64}\left(\left(\frac{1 \cdot 2}{\frac{k}{n \cdot \mathsf{PI}\left(\right)}}\right)\right) \]
      5. metadata-evalN/A

        \[\leadsto \mathsf{sqrt.f64}\left(\left(\frac{2}{\frac{k}{n \cdot \mathsf{PI}\left(\right)}}\right)\right) \]
      6. /-lowering-/.f64N/A

        \[\leadsto \mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(2, \left(\frac{k}{n \cdot \mathsf{PI}\left(\right)}\right)\right)\right) \]
      7. *-commutativeN/A

        \[\leadsto \mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(2, \left(\frac{k}{\mathsf{PI}\left(\right) \cdot n}\right)\right)\right) \]
      8. /-lowering-/.f64N/A

        \[\leadsto \mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(2, \mathsf{/.f64}\left(k, \left(\mathsf{PI}\left(\right) \cdot n\right)\right)\right)\right) \]
      9. *-lowering-*.f64N/A

        \[\leadsto \mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(2, \mathsf{/.f64}\left(k, \mathsf{*.f64}\left(\mathsf{PI}\left(\right), n\right)\right)\right)\right) \]
      10. PI-lowering-PI.f642.7%

        \[\leadsto \mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(2, \mathsf{/.f64}\left(k, \mathsf{*.f64}\left(\mathsf{PI.f64}\left(\right), n\right)\right)\right)\right) \]
    7. Applied egg-rr2.7%

      \[\leadsto \color{blue}{\sqrt{\frac{2}{\frac{k}{\pi \cdot n}}}} \]
    8. Step-by-step derivation
      1. pow1/2N/A

        \[\leadsto {\left(\frac{2}{\frac{k}{\mathsf{PI}\left(\right) \cdot n}}\right)}^{\color{blue}{\frac{1}{2}}} \]
      2. sqr-powN/A

        \[\leadsto {\left(\frac{2}{\frac{k}{\mathsf{PI}\left(\right) \cdot n}}\right)}^{\left(\frac{\frac{1}{2}}{2}\right)} \cdot \color{blue}{{\left(\frac{2}{\frac{k}{\mathsf{PI}\left(\right) \cdot n}}\right)}^{\left(\frac{\frac{1}{2}}{2}\right)}} \]
      3. pow-prod-downN/A

        \[\leadsto {\left(\frac{2}{\frac{k}{\mathsf{PI}\left(\right) \cdot n}} \cdot \frac{2}{\frac{k}{\mathsf{PI}\left(\right) \cdot n}}\right)}^{\color{blue}{\left(\frac{\frac{1}{2}}{2}\right)}} \]
      4. pow-lowering-pow.f64N/A

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

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

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

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

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

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

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

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

        \[\leadsto \mathsf{pow.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(2, \mathsf{/.f64}\left(k, \mathsf{*.f64}\left(\mathsf{PI.f64}\left(\right), n\right)\right)\right), \mathsf{/.f64}\left(2, \mathsf{/.f64}\left(k, \mathsf{*.f64}\left(\mathsf{PI}\left(\right), n\right)\right)\right)\right), \left(\frac{\frac{1}{2}}{2}\right)\right) \]
      13. PI-lowering-PI.f64N/A

        \[\leadsto \mathsf{pow.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(2, \mathsf{/.f64}\left(k, \mathsf{*.f64}\left(\mathsf{PI.f64}\left(\right), n\right)\right)\right), \mathsf{/.f64}\left(2, \mathsf{/.f64}\left(k, \mathsf{*.f64}\left(\mathsf{PI.f64}\left(\right), n\right)\right)\right)\right), \left(\frac{\frac{1}{2}}{2}\right)\right) \]
      14. metadata-eval17.8%

        \[\leadsto \mathsf{pow.f64}\left(\mathsf{*.f64}\left(\mathsf{/.f64}\left(2, \mathsf{/.f64}\left(k, \mathsf{*.f64}\left(\mathsf{PI.f64}\left(\right), n\right)\right)\right), \mathsf{/.f64}\left(2, \mathsf{/.f64}\left(k, \mathsf{*.f64}\left(\mathsf{PI.f64}\left(\right), n\right)\right)\right)\right), \frac{1}{4}\right) \]
    9. Applied egg-rr17.8%

      \[\leadsto \color{blue}{{\left(\frac{2}{\frac{k}{\pi \cdot n}} \cdot \frac{2}{\frac{k}{\pi \cdot n}}\right)}^{0.25}} \]
  3. Recombined 2 regimes into one program.
  4. Add Preprocessing

Alternative 5: 38.8% accurate, 2.0× speedup?

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

\\
{\left(\frac{\frac{k}{\pi \cdot n}}{2}\right)}^{-0.5}
\end{array}
Derivation
  1. Initial program 99.2%

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

    \[\leadsto \color{blue}{\sqrt{\frac{n \cdot \mathsf{PI}\left(\right)}{k}} \cdot \sqrt{2}} \]
  4. Step-by-step derivation
    1. *-lowering-*.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\left(\sqrt{\frac{n \cdot \mathsf{PI}\left(\right)}{k}}\right), \color{blue}{\left(\sqrt{2}\right)}\right) \]
    2. sqrt-lowering-sqrt.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{sqrt.f64}\left(\left(\frac{n \cdot \mathsf{PI}\left(\right)}{k}\right)\right), \left(\sqrt{\color{blue}{2}}\right)\right) \]
    3. /-lowering-/.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(\left(n \cdot \mathsf{PI}\left(\right)\right), k\right)\right), \left(\sqrt{2}\right)\right) \]
    4. *-lowering-*.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(n, \mathsf{PI}\left(\right)\right), k\right)\right), \left(\sqrt{2}\right)\right) \]
    5. PI-lowering-PI.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(n, \mathsf{PI.f64}\left(\right)\right), k\right)\right), \left(\sqrt{2}\right)\right) \]
    6. sqrt-lowering-sqrt.f6437.1%

      \[\leadsto \mathsf{*.f64}\left(\mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(n, \mathsf{PI.f64}\left(\right)\right), k\right)\right), \mathsf{sqrt.f64}\left(2\right)\right) \]
  5. Simplified37.1%

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

      \[\leadsto \sqrt{\frac{n \cdot \mathsf{PI}\left(\right)}{k} \cdot 2} \]
    2. sqrt-lowering-sqrt.f64N/A

      \[\leadsto \mathsf{sqrt.f64}\left(\left(\frac{n \cdot \mathsf{PI}\left(\right)}{k} \cdot 2\right)\right) \]
    3. clear-numN/A

      \[\leadsto \mathsf{sqrt.f64}\left(\left(\frac{1}{\frac{k}{n \cdot \mathsf{PI}\left(\right)}} \cdot 2\right)\right) \]
    4. associate-*l/N/A

      \[\leadsto \mathsf{sqrt.f64}\left(\left(\frac{1 \cdot 2}{\frac{k}{n \cdot \mathsf{PI}\left(\right)}}\right)\right) \]
    5. metadata-evalN/A

      \[\leadsto \mathsf{sqrt.f64}\left(\left(\frac{2}{\frac{k}{n \cdot \mathsf{PI}\left(\right)}}\right)\right) \]
    6. /-lowering-/.f64N/A

      \[\leadsto \mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(2, \left(\frac{k}{n \cdot \mathsf{PI}\left(\right)}\right)\right)\right) \]
    7. *-commutativeN/A

      \[\leadsto \mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(2, \left(\frac{k}{\mathsf{PI}\left(\right) \cdot n}\right)\right)\right) \]
    8. /-lowering-/.f64N/A

      \[\leadsto \mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(2, \mathsf{/.f64}\left(k, \left(\mathsf{PI}\left(\right) \cdot n\right)\right)\right)\right) \]
    9. *-lowering-*.f64N/A

      \[\leadsto \mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(2, \mathsf{/.f64}\left(k, \mathsf{*.f64}\left(\mathsf{PI}\left(\right), n\right)\right)\right)\right) \]
    10. PI-lowering-PI.f6437.2%

      \[\leadsto \mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(2, \mathsf{/.f64}\left(k, \mathsf{*.f64}\left(\mathsf{PI.f64}\left(\right), n\right)\right)\right)\right) \]
  7. Applied egg-rr37.2%

    \[\leadsto \color{blue}{\sqrt{\frac{2}{\frac{k}{\pi \cdot n}}}} \]
  8. Step-by-step derivation
    1. clear-numN/A

      \[\leadsto \sqrt{\frac{1}{\frac{\frac{k}{\mathsf{PI}\left(\right) \cdot n}}{2}}} \]
    2. inv-powN/A

      \[\leadsto \sqrt{{\left(\frac{\frac{k}{\mathsf{PI}\left(\right) \cdot n}}{2}\right)}^{-1}} \]
    3. sqrt-pow1N/A

      \[\leadsto {\left(\frac{\frac{k}{\mathsf{PI}\left(\right) \cdot n}}{2}\right)}^{\color{blue}{\left(\frac{-1}{2}\right)}} \]
    4. metadata-evalN/A

      \[\leadsto {\left(\frac{\frac{k}{\mathsf{PI}\left(\right) \cdot n}}{2}\right)}^{\frac{-1}{2}} \]
    5. metadata-evalN/A

      \[\leadsto {\left(\frac{\frac{k}{\mathsf{PI}\left(\right) \cdot n}}{2}\right)}^{\left(\mathsf{neg}\left(\frac{1}{2}\right)\right)} \]
    6. pow-lowering-pow.f64N/A

      \[\leadsto \mathsf{pow.f64}\left(\left(\frac{\frac{k}{\mathsf{PI}\left(\right) \cdot n}}{2}\right), \color{blue}{\left(\mathsf{neg}\left(\frac{1}{2}\right)\right)}\right) \]
    7. /-lowering-/.f64N/A

      \[\leadsto \mathsf{pow.f64}\left(\mathsf{/.f64}\left(\left(\frac{k}{\mathsf{PI}\left(\right) \cdot n}\right), 2\right), \left(\mathsf{neg}\left(\color{blue}{\frac{1}{2}}\right)\right)\right) \]
    8. /-lowering-/.f64N/A

      \[\leadsto \mathsf{pow.f64}\left(\mathsf{/.f64}\left(\mathsf{/.f64}\left(k, \left(\mathsf{PI}\left(\right) \cdot n\right)\right), 2\right), \left(\mathsf{neg}\left(\frac{1}{2}\right)\right)\right) \]
    9. *-lowering-*.f64N/A

      \[\leadsto \mathsf{pow.f64}\left(\mathsf{/.f64}\left(\mathsf{/.f64}\left(k, \mathsf{*.f64}\left(\mathsf{PI}\left(\right), n\right)\right), 2\right), \left(\mathsf{neg}\left(\frac{1}{2}\right)\right)\right) \]
    10. PI-lowering-PI.f64N/A

      \[\leadsto \mathsf{pow.f64}\left(\mathsf{/.f64}\left(\mathsf{/.f64}\left(k, \mathsf{*.f64}\left(\mathsf{PI.f64}\left(\right), n\right)\right), 2\right), \left(\mathsf{neg}\left(\frac{1}{2}\right)\right)\right) \]
    11. metadata-eval38.6%

      \[\leadsto \mathsf{pow.f64}\left(\mathsf{/.f64}\left(\mathsf{/.f64}\left(k, \mathsf{*.f64}\left(\mathsf{PI.f64}\left(\right), n\right)\right), 2\right), \frac{-1}{2}\right) \]
  9. Applied egg-rr38.6%

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

Alternative 6: 38.0% accurate, 2.0× speedup?

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

\\
\sqrt{\pi \cdot \left(n \cdot \frac{2}{k}\right)}
\end{array}
Derivation
  1. Initial program 99.2%

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

    \[\leadsto \color{blue}{\sqrt{\frac{n \cdot \mathsf{PI}\left(\right)}{k}} \cdot \sqrt{2}} \]
  4. Step-by-step derivation
    1. *-lowering-*.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\left(\sqrt{\frac{n \cdot \mathsf{PI}\left(\right)}{k}}\right), \color{blue}{\left(\sqrt{2}\right)}\right) \]
    2. sqrt-lowering-sqrt.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{sqrt.f64}\left(\left(\frac{n \cdot \mathsf{PI}\left(\right)}{k}\right)\right), \left(\sqrt{\color{blue}{2}}\right)\right) \]
    3. /-lowering-/.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(\left(n \cdot \mathsf{PI}\left(\right)\right), k\right)\right), \left(\sqrt{2}\right)\right) \]
    4. *-lowering-*.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(n, \mathsf{PI}\left(\right)\right), k\right)\right), \left(\sqrt{2}\right)\right) \]
    5. PI-lowering-PI.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(n, \mathsf{PI.f64}\left(\right)\right), k\right)\right), \left(\sqrt{2}\right)\right) \]
    6. sqrt-lowering-sqrt.f6437.1%

      \[\leadsto \mathsf{*.f64}\left(\mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(\mathsf{*.f64}\left(n, \mathsf{PI.f64}\left(\right)\right), k\right)\right), \mathsf{sqrt.f64}\left(2\right)\right) \]
  5. Simplified37.1%

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

      \[\leadsto \sqrt{\frac{n \cdot \mathsf{PI}\left(\right)}{k} \cdot 2} \]
    2. sqrt-lowering-sqrt.f64N/A

      \[\leadsto \mathsf{sqrt.f64}\left(\left(\frac{n \cdot \mathsf{PI}\left(\right)}{k} \cdot 2\right)\right) \]
    3. clear-numN/A

      \[\leadsto \mathsf{sqrt.f64}\left(\left(\frac{1}{\frac{k}{n \cdot \mathsf{PI}\left(\right)}} \cdot 2\right)\right) \]
    4. associate-*l/N/A

      \[\leadsto \mathsf{sqrt.f64}\left(\left(\frac{1 \cdot 2}{\frac{k}{n \cdot \mathsf{PI}\left(\right)}}\right)\right) \]
    5. metadata-evalN/A

      \[\leadsto \mathsf{sqrt.f64}\left(\left(\frac{2}{\frac{k}{n \cdot \mathsf{PI}\left(\right)}}\right)\right) \]
    6. /-lowering-/.f64N/A

      \[\leadsto \mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(2, \left(\frac{k}{n \cdot \mathsf{PI}\left(\right)}\right)\right)\right) \]
    7. *-commutativeN/A

      \[\leadsto \mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(2, \left(\frac{k}{\mathsf{PI}\left(\right) \cdot n}\right)\right)\right) \]
    8. /-lowering-/.f64N/A

      \[\leadsto \mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(2, \mathsf{/.f64}\left(k, \left(\mathsf{PI}\left(\right) \cdot n\right)\right)\right)\right) \]
    9. *-lowering-*.f64N/A

      \[\leadsto \mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(2, \mathsf{/.f64}\left(k, \mathsf{*.f64}\left(\mathsf{PI}\left(\right), n\right)\right)\right)\right) \]
    10. PI-lowering-PI.f6437.2%

      \[\leadsto \mathsf{sqrt.f64}\left(\mathsf{/.f64}\left(2, \mathsf{/.f64}\left(k, \mathsf{*.f64}\left(\mathsf{PI.f64}\left(\right), n\right)\right)\right)\right) \]
  7. Applied egg-rr37.2%

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

      \[\leadsto \mathsf{sqrt.f64}\left(\left(\frac{2}{k} \cdot \left(\mathsf{PI}\left(\right) \cdot n\right)\right)\right) \]
    2. *-commutativeN/A

      \[\leadsto \mathsf{sqrt.f64}\left(\left(\left(\mathsf{PI}\left(\right) \cdot n\right) \cdot \frac{2}{k}\right)\right) \]
    3. associate-*l*N/A

      \[\leadsto \mathsf{sqrt.f64}\left(\left(\mathsf{PI}\left(\right) \cdot \left(n \cdot \frac{2}{k}\right)\right)\right) \]
    4. *-lowering-*.f64N/A

      \[\leadsto \mathsf{sqrt.f64}\left(\mathsf{*.f64}\left(\mathsf{PI}\left(\right), \left(n \cdot \frac{2}{k}\right)\right)\right) \]
    5. PI-lowering-PI.f64N/A

      \[\leadsto \mathsf{sqrt.f64}\left(\mathsf{*.f64}\left(\mathsf{PI.f64}\left(\right), \left(n \cdot \frac{2}{k}\right)\right)\right) \]
    6. *-lowering-*.f64N/A

      \[\leadsto \mathsf{sqrt.f64}\left(\mathsf{*.f64}\left(\mathsf{PI.f64}\left(\right), \mathsf{*.f64}\left(n, \left(\frac{2}{k}\right)\right)\right)\right) \]
    7. /-lowering-/.f6437.2%

      \[\leadsto \mathsf{sqrt.f64}\left(\mathsf{*.f64}\left(\mathsf{PI.f64}\left(\right), \mathsf{*.f64}\left(n, \mathsf{/.f64}\left(2, k\right)\right)\right)\right) \]
  9. Applied egg-rr37.2%

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

Reproduce

?
herbie shell --seed 2024145 
(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))))