Migdal et al, Equation (51)

Percentage Accurate: 99.4% → 99.5%
Time: 11.8s
Alternatives: 12
Speedup: 1.1×

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 12 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: 99.5% accurate, 1.0× speedup?

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

\\
\sqrt{\pi \cdot n} \cdot \sqrt{\frac{2}{k \cdot {\left(\pi \cdot \left(n \cdot 2\right)\right)}^{k}}}
\end{array}
Derivation
  1. Initial program 99.6%

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

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

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

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

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

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

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

      \[\leadsto \color{blue}{\frac{{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot n\right)}^{\frac{1}{2}}}{\sqrt{k} \cdot {\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot n\right)}^{\left(\frac{k}{2}\right)}}} \]
    8. unpow1/2N/A

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

      \[\leadsto \frac{\sqrt{2 \cdot \left(\mathsf{PI}\left(\right) \cdot n\right)}}{\sqrt{k} \cdot \color{blue}{{\left({\left(2 \cdot \left(\mathsf{PI}\left(\right) \cdot n\right)\right)}^{k}\right)}^{\frac{1}{2}}}} \]
    9. unpow1/2N/A

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

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

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

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

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

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

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

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

      \[\leadsto \frac{\sqrt{2 \cdot \left(\mathsf{PI}\left(\right) \cdot n\right)}}{\sqrt{k \cdot {\left(2 \cdot \color{blue}{\left(\mathsf{PI}\left(\right) \cdot n\right)}\right)}^{k}}} \]
    18. PI-lowering-PI.f6499.7

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Alternative 2: 68.6% accurate, 0.6× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;\frac{1}{\sqrt{k}} \cdot {\left(n \cdot \left(\pi \cdot 2\right)\right)}^{\left(\frac{1 - k}{2}\right)} \leq 0:\\ \;\;\;\;{\left(\left(k \cdot k\right) \cdot \left(k \cdot k\right)\right)}^{-0.125}\\ \mathbf{else}:\\ \;\;\;\;\sqrt{\frac{\pi \cdot 2}{k}} \cdot \sqrt{n}\\ \end{array} \end{array} \]
(FPCore (k n)
 :precision binary64
 (if (<= (* (/ 1.0 (sqrt k)) (pow (* n (* PI 2.0)) (/ (- 1.0 k) 2.0))) 0.0)
   (pow (* (* k k) (* k k)) -0.125)
   (* (sqrt (/ (* PI 2.0) k)) (sqrt n))))
double code(double k, double n) {
	double tmp;
	if (((1.0 / sqrt(k)) * pow((n * (((double) M_PI) * 2.0)), ((1.0 - k) / 2.0))) <= 0.0) {
		tmp = pow(((k * k) * (k * k)), -0.125);
	} else {
		tmp = sqrt(((((double) M_PI) * 2.0) / k)) * sqrt(n);
	}
	return tmp;
}
public static double code(double k, double n) {
	double tmp;
	if (((1.0 / Math.sqrt(k)) * Math.pow((n * (Math.PI * 2.0)), ((1.0 - k) / 2.0))) <= 0.0) {
		tmp = Math.pow(((k * k) * (k * k)), -0.125);
	} else {
		tmp = Math.sqrt(((Math.PI * 2.0) / k)) * Math.sqrt(n);
	}
	return tmp;
}
def code(k, n):
	tmp = 0
	if ((1.0 / math.sqrt(k)) * math.pow((n * (math.pi * 2.0)), ((1.0 - k) / 2.0))) <= 0.0:
		tmp = math.pow(((k * k) * (k * k)), -0.125)
	else:
		tmp = math.sqrt(((math.pi * 2.0) / k)) * math.sqrt(n)
	return tmp
function code(k, n)
	tmp = 0.0
	if (Float64(Float64(1.0 / sqrt(k)) * (Float64(n * Float64(pi * 2.0)) ^ Float64(Float64(1.0 - k) / 2.0))) <= 0.0)
		tmp = Float64(Float64(k * k) * Float64(k * k)) ^ -0.125;
	else
		tmp = Float64(sqrt(Float64(Float64(pi * 2.0) / k)) * sqrt(n));
	end
	return tmp
end
function tmp_2 = code(k, n)
	tmp = 0.0;
	if (((1.0 / sqrt(k)) * ((n * (pi * 2.0)) ^ ((1.0 - k) / 2.0))) <= 0.0)
		tmp = ((k * k) * (k * k)) ^ -0.125;
	else
		tmp = sqrt(((pi * 2.0) / k)) * sqrt(n);
	end
	tmp_2 = tmp;
end
code[k_, n_] := If[LessEqual[N[(N[(1.0 / N[Sqrt[k], $MachinePrecision]), $MachinePrecision] * N[Power[N[(n * N[(Pi * 2.0), $MachinePrecision]), $MachinePrecision], N[(N[(1.0 - k), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], 0.0], N[Power[N[(N[(k * k), $MachinePrecision] * N[(k * k), $MachinePrecision]), $MachinePrecision], -0.125], $MachinePrecision], N[(N[Sqrt[N[(N[(Pi * 2.0), $MachinePrecision] / k), $MachinePrecision]], $MachinePrecision] * N[Sqrt[n], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;\frac{1}{\sqrt{k}} \cdot {\left(n \cdot \left(\pi \cdot 2\right)\right)}^{\left(\frac{1 - k}{2}\right)} \leq 0:\\
\;\;\;\;{\left(\left(k \cdot k\right) \cdot \left(k \cdot k\right)\right)}^{-0.125}\\

\mathbf{else}:\\
\;\;\;\;\sqrt{\frac{\pi \cdot 2}{k}} \cdot \sqrt{n}\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if (*.f64 (/.f64 #s(literal 1 binary64) (sqrt.f64 k)) (pow.f64 (*.f64 (*.f64 #s(literal 2 binary64) (PI.f64)) n) (/.f64 (-.f64 #s(literal 1 binary64) k) #s(literal 2 binary64)))) < 0.0

    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 inf

      \[\leadsto \frac{1}{\sqrt{k}} \cdot {\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot n\right)}^{\color{blue}{\left(\frac{-1}{2} \cdot k\right)}} \]
    4. Step-by-step derivation
      1. *-lowering-*.f64100.0

        \[\leadsto \frac{1}{\sqrt{k}} \cdot {\left(\left(2 \cdot \pi\right) \cdot n\right)}^{\color{blue}{\left(-0.5 \cdot k\right)}} \]
    5. Simplified100.0%

      \[\leadsto \frac{1}{\sqrt{k}} \cdot {\left(\left(2 \cdot \pi\right) \cdot n\right)}^{\color{blue}{\left(-0.5 \cdot k\right)}} \]
    6. Taylor expanded in k around 0

      \[\leadsto \color{blue}{\sqrt{\frac{1}{k}}} \]
    7. Step-by-step derivation
      1. sqrt-lowering-sqrt.f64N/A

        \[\leadsto \color{blue}{\sqrt{\frac{1}{k}}} \]
      2. /-lowering-/.f643.8

        \[\leadsto \sqrt{\color{blue}{\frac{1}{k}}} \]
    8. Simplified3.8%

      \[\leadsto \color{blue}{\sqrt{\frac{1}{k}}} \]
    9. Step-by-step derivation
      1. sqrt-divN/A

        \[\leadsto \color{blue}{\frac{\sqrt{1}}{\sqrt{k}}} \]
      2. metadata-evalN/A

        \[\leadsto \frac{\color{blue}{1}}{\sqrt{k}} \]
      3. /-lowering-/.f64N/A

        \[\leadsto \color{blue}{\frac{1}{\sqrt{k}}} \]
      4. sqrt-lowering-sqrt.f643.8

        \[\leadsto \frac{1}{\color{blue}{\sqrt{k}}} \]
    10. Applied egg-rr3.8%

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

        \[\leadsto \frac{1}{\color{blue}{{k}^{\frac{1}{2}}}} \]
      2. pow-flipN/A

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

        \[\leadsto {k}^{\color{blue}{\frac{-1}{2}}} \]
      4. sqr-powN/A

        \[\leadsto \color{blue}{{k}^{\left(\frac{\frac{-1}{2}}{2}\right)} \cdot {k}^{\left(\frac{\frac{-1}{2}}{2}\right)}} \]
      5. unpow-prod-downN/A

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

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

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

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

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

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

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

        \[\leadsto {\left(\left(k \cdot k\right) \cdot \left(k \cdot k\right)\right)}^{\left(\frac{\color{blue}{\frac{-1}{4}}}{2}\right)} \]
      13. metadata-eval75.8

        \[\leadsto {\left(\left(k \cdot k\right) \cdot \left(k \cdot k\right)\right)}^{\color{blue}{-0.125}} \]
    12. Applied egg-rr75.8%

      \[\leadsto \color{blue}{{\left(\left(k \cdot k\right) \cdot \left(k \cdot k\right)\right)}^{-0.125}} \]

    if 0.0 < (*.f64 (/.f64 #s(literal 1 binary64) (sqrt.f64 k)) (pow.f64 (*.f64 (*.f64 #s(literal 2 binary64) (PI.f64)) n) (/.f64 (-.f64 #s(literal 1 binary64) k) #s(literal 2 binary64))))

    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

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

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

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

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

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

        \[\leadsto \sqrt{\frac{n \cdot \color{blue}{\mathsf{PI}\left(\right)}}{k}} \cdot \sqrt{2} \]
      6. sqrt-lowering-sqrt.f6447.8

        \[\leadsto \sqrt{\frac{n \cdot \pi}{k}} \cdot \color{blue}{\sqrt{2}} \]
    5. Simplified47.8%

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

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

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

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

        \[\leadsto \sqrt{\color{blue}{\frac{\mathsf{PI}\left(\right)}{k}} \cdot n} \cdot \sqrt{2} \]
      5. PI-lowering-PI.f6447.8

        \[\leadsto \sqrt{\frac{\color{blue}{\pi}}{k} \cdot n} \cdot \sqrt{2} \]
    7. Applied egg-rr47.8%

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

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

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

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

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

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

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

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

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

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

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

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

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

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

        \[\leadsto \sqrt{\frac{\mathsf{PI}\left(\right)}{k}} \cdot \color{blue}{\sqrt{n \cdot 2}} \]
      15. *-lowering-*.f6464.8

        \[\leadsto \sqrt{\frac{\pi}{k}} \cdot \sqrt{\color{blue}{n \cdot 2}} \]
    9. Applied egg-rr64.8%

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

        \[\leadsto \sqrt{\frac{\mathsf{PI}\left(\right) \cdot 2}{k}} \cdot \color{blue}{\sqrt{n}} \]
      16. sqrt-lowering-sqrt.f6464.8

        \[\leadsto \sqrt{\frac{\pi \cdot 2}{k}} \cdot \color{blue}{\sqrt{n}} \]
    11. Applied egg-rr64.8%

      \[\leadsto \color{blue}{\sqrt{\frac{\pi \cdot 2}{k}} \cdot \sqrt{n}} \]
  3. Recombined 2 regimes into one program.
  4. Final simplification67.9%

    \[\leadsto \begin{array}{l} \mathbf{if}\;\frac{1}{\sqrt{k}} \cdot {\left(n \cdot \left(\pi \cdot 2\right)\right)}^{\left(\frac{1 - k}{2}\right)} \leq 0:\\ \;\;\;\;{\left(\left(k \cdot k\right) \cdot \left(k \cdot k\right)\right)}^{-0.125}\\ \mathbf{else}:\\ \;\;\;\;\sqrt{\frac{\pi \cdot 2}{k}} \cdot \sqrt{n}\\ \end{array} \]
  5. Add Preprocessing

Alternative 3: 98.1% accurate, 1.1× speedup?

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

\\
\begin{array}{l}
\mathbf{if}\;k \leq 1:\\
\;\;\;\;\sqrt{\frac{\pi \cdot 2}{k}} \cdot \sqrt{n}\\

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


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

    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

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

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

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

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

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

        \[\leadsto \sqrt{\frac{n \cdot \color{blue}{\mathsf{PI}\left(\right)}}{k}} \cdot \sqrt{2} \]
      6. sqrt-lowering-sqrt.f6471.1

        \[\leadsto \sqrt{\frac{n \cdot \pi}{k}} \cdot \color{blue}{\sqrt{2}} \]
    5. Simplified71.1%

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

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

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

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

        \[\leadsto \sqrt{\color{blue}{\frac{\mathsf{PI}\left(\right)}{k}} \cdot n} \cdot \sqrt{2} \]
      5. PI-lowering-PI.f6471.1

        \[\leadsto \sqrt{\frac{\color{blue}{\pi}}{k} \cdot n} \cdot \sqrt{2} \]
    7. Applied egg-rr71.1%

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

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

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

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

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

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

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

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

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

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

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

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

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

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

        \[\leadsto \sqrt{\frac{\mathsf{PI}\left(\right)}{k}} \cdot \color{blue}{\sqrt{n \cdot 2}} \]
      15. *-lowering-*.f6496.5

        \[\leadsto \sqrt{\frac{\pi}{k}} \cdot \sqrt{\color{blue}{n \cdot 2}} \]
    9. Applied egg-rr96.5%

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

        \[\leadsto \sqrt{\frac{\mathsf{PI}\left(\right) \cdot 2}{k}} \cdot \color{blue}{\sqrt{n}} \]
      16. sqrt-lowering-sqrt.f6496.6

        \[\leadsto \sqrt{\frac{\pi \cdot 2}{k}} \cdot \color{blue}{\sqrt{n}} \]
    11. Applied egg-rr96.6%

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

    if 1 < 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 inf

      \[\leadsto \frac{1}{\sqrt{k}} \cdot {\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot n\right)}^{\color{blue}{\left(\frac{-1}{2} \cdot k\right)}} \]
    4. Step-by-step derivation
      1. *-lowering-*.f64100.0

        \[\leadsto \frac{1}{\sqrt{k}} \cdot {\left(\left(2 \cdot \pi\right) \cdot n\right)}^{\color{blue}{\left(-0.5 \cdot k\right)}} \]
    5. Simplified100.0%

      \[\leadsto \frac{1}{\sqrt{k}} \cdot {\left(\left(2 \cdot \pi\right) \cdot n\right)}^{\color{blue}{\left(-0.5 \cdot k\right)}} \]
    6. Step-by-step derivation
      1. *-commutativeN/A

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

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

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

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

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

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

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

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

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

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

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

        \[\leadsto \frac{{\left(2 \cdot \left(\mathsf{PI}\left(\right) \cdot n\right)\right)}^{\color{blue}{\left(k \cdot \frac{-1}{2}\right)}}}{\sqrt{k}} \]
      13. sqrt-lowering-sqrt.f64100.0

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

      \[\leadsto \color{blue}{\frac{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(k \cdot -0.5\right)}}{\sqrt{k}}} \]
  3. Recombined 2 regimes into one program.
  4. Final simplification98.4%

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

Alternative 4: 99.5% accurate, 1.1× speedup?

\[\begin{array}{l} \\ \sqrt{\frac{1}{k}} \cdot {\left(n \cdot \left(\pi \cdot 2\right)\right)}^{\left(\mathsf{fma}\left(-0.5, k, 0.5\right)\right)} \end{array} \]
(FPCore (k n)
 :precision binary64
 (* (sqrt (/ 1.0 k)) (pow (* n (* PI 2.0)) (fma -0.5 k 0.5))))
double code(double k, double n) {
	return sqrt((1.0 / k)) * pow((n * (((double) M_PI) * 2.0)), fma(-0.5, k, 0.5));
}
function code(k, n)
	return Float64(sqrt(Float64(1.0 / k)) * (Float64(n * Float64(pi * 2.0)) ^ fma(-0.5, k, 0.5)))
end
code[k_, n_] := N[(N[Sqrt[N[(1.0 / k), $MachinePrecision]], $MachinePrecision] * N[Power[N[(n * N[(Pi * 2.0), $MachinePrecision]), $MachinePrecision], N[(-0.5 * k + 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}

\\
\sqrt{\frac{1}{k}} \cdot {\left(n \cdot \left(\pi \cdot 2\right)\right)}^{\left(\mathsf{fma}\left(-0.5, k, 0.5\right)\right)}
\end{array}
Derivation
  1. Initial program 99.6%

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

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

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

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

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

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

      \[\leadsto \sqrt{\frac{1}{k}} \cdot e^{\color{blue}{\log \left(2 \cdot \left(n \cdot \mathsf{PI}\left(\right)\right)\right) \cdot \left(\left(1 - k\right) \cdot \frac{1}{2}\right)}} \]
    6. exp-prodN/A

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

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

      \[\leadsto \sqrt{\frac{1}{k}} \cdot \color{blue}{{\left(e^{\log \left(2 \cdot \left(n \cdot \mathsf{PI}\left(\right)\right)\right)}\right)}^{\left(\frac{1}{2} \cdot \left(1 - k\right)\right)}} \]
    9. rem-exp-logN/A

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

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

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

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

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

      \[\leadsto \sqrt{\frac{1}{k}} \cdot {\color{blue}{\left(n \cdot e^{\log \left(2 \cdot \mathsf{PI}\left(\right)\right)}\right)}}^{\left(\frac{1}{2} \cdot \left(1 - k\right)\right)} \]
    15. rem-exp-logN/A

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

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

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

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

      \[\leadsto \sqrt{\frac{1}{k}} \cdot {\left(n \cdot \left(\mathsf{PI}\left(\right) \cdot 2\right)\right)}^{\left(\frac{1}{2} \cdot \color{blue}{\left(1 + \left(\mathsf{neg}\left(k\right)\right)\right)}\right)} \]
    20. mul-1-negN/A

      \[\leadsto \sqrt{\frac{1}{k}} \cdot {\left(n \cdot \left(\mathsf{PI}\left(\right) \cdot 2\right)\right)}^{\left(\frac{1}{2} \cdot \left(1 + \color{blue}{-1 \cdot k}\right)\right)} \]
  5. Simplified99.6%

    \[\leadsto \color{blue}{\sqrt{\frac{1}{k}} \cdot {\left(n \cdot \left(\pi \cdot 2\right)\right)}^{\left(\mathsf{fma}\left(-0.5, k, 0.5\right)\right)}} \]
  6. Add Preprocessing

Alternative 5: 99.5% accurate, 1.1× speedup?

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

\\
\frac{{\left(\left(\pi \cdot n\right) \cdot 2\right)}^{\left(\mathsf{fma}\left(k, -0.5, 0.5\right)\right)}}{\sqrt{k}}
\end{array}
Derivation
  1. Initial program 99.6%

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

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

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

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

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

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

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

      \[\leadsto \color{blue}{\frac{{\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot n\right)}^{\frac{1}{2}}}{\sqrt{k} \cdot {\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot n\right)}^{\left(\frac{k}{2}\right)}}} \]
    8. unpow1/2N/A

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

      \[\leadsto \color{blue}{\frac{\frac{1}{{\left(2 \cdot \left(\mathsf{PI}\left(\right) \cdot n\right)\right)}^{\left(\frac{-1}{2} + k \cdot \frac{1}{2}\right)}}}{\sqrt{k}}} \]
  6. Applied egg-rr99.6%

    \[\leadsto \color{blue}{\frac{{\left(2 \cdot \left(\pi \cdot n\right)\right)}^{\left(\mathsf{fma}\left(k, -0.5, 0.5\right)\right)}}{\sqrt{k}}} \]
  7. Final simplification99.6%

    \[\leadsto \frac{{\left(\left(\pi \cdot n\right) \cdot 2\right)}^{\left(\mathsf{fma}\left(k, -0.5, 0.5\right)\right)}}{\sqrt{k}} \]
  8. Add Preprocessing

Alternative 6: 62.1% accurate, 1.2× speedup?

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

\\
\begin{array}{l}
\mathbf{if}\;k \leq 0.5:\\
\;\;\;\;\sqrt{\frac{\pi \cdot 2}{k}} \cdot \sqrt{n}\\

\mathbf{else}:\\
\;\;\;\;\sqrt{{\left(k \cdot k\right)}^{-0.5}}\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if k < 0.5

    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

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

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

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

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

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

        \[\leadsto \sqrt{\frac{n \cdot \color{blue}{\mathsf{PI}\left(\right)}}{k}} \cdot \sqrt{2} \]
      6. sqrt-lowering-sqrt.f6471.1

        \[\leadsto \sqrt{\frac{n \cdot \pi}{k}} \cdot \color{blue}{\sqrt{2}} \]
    5. Simplified71.1%

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

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

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

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

        \[\leadsto \sqrt{\color{blue}{\frac{\mathsf{PI}\left(\right)}{k}} \cdot n} \cdot \sqrt{2} \]
      5. PI-lowering-PI.f6471.1

        \[\leadsto \sqrt{\frac{\color{blue}{\pi}}{k} \cdot n} \cdot \sqrt{2} \]
    7. Applied egg-rr71.1%

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

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

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

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

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

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

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

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

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

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

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

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

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

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

        \[\leadsto \sqrt{\frac{\mathsf{PI}\left(\right)}{k}} \cdot \color{blue}{\sqrt{n \cdot 2}} \]
      15. *-lowering-*.f6496.5

        \[\leadsto \sqrt{\frac{\pi}{k}} \cdot \sqrt{\color{blue}{n \cdot 2}} \]
    9. Applied egg-rr96.5%

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

        \[\leadsto \sqrt{\frac{\mathsf{PI}\left(\right) \cdot 2}{k}} \cdot \color{blue}{\sqrt{n}} \]
      16. sqrt-lowering-sqrt.f6496.6

        \[\leadsto \sqrt{\frac{\pi \cdot 2}{k}} \cdot \color{blue}{\sqrt{n}} \]
    11. Applied egg-rr96.6%

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

    if 0.5 < 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 inf

      \[\leadsto \frac{1}{\sqrt{k}} \cdot {\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot n\right)}^{\color{blue}{\left(\frac{-1}{2} \cdot k\right)}} \]
    4. Step-by-step derivation
      1. *-lowering-*.f64100.0

        \[\leadsto \frac{1}{\sqrt{k}} \cdot {\left(\left(2 \cdot \pi\right) \cdot n\right)}^{\color{blue}{\left(-0.5 \cdot k\right)}} \]
    5. Simplified100.0%

      \[\leadsto \frac{1}{\sqrt{k}} \cdot {\left(\left(2 \cdot \pi\right) \cdot n\right)}^{\color{blue}{\left(-0.5 \cdot k\right)}} \]
    6. Taylor expanded in k around 0

      \[\leadsto \color{blue}{\sqrt{\frac{1}{k}}} \]
    7. Step-by-step derivation
      1. sqrt-lowering-sqrt.f64N/A

        \[\leadsto \color{blue}{\sqrt{\frac{1}{k}}} \]
      2. /-lowering-/.f643.3

        \[\leadsto \sqrt{\color{blue}{\frac{1}{k}}} \]
    8. Simplified3.3%

      \[\leadsto \color{blue}{\sqrt{\frac{1}{k}}} \]
    9. Step-by-step derivation
      1. inv-powN/A

        \[\leadsto \sqrt{\color{blue}{{k}^{-1}}} \]
      2. metadata-evalN/A

        \[\leadsto \sqrt{{k}^{\color{blue}{\left(\frac{-1}{2} + \frac{-1}{2}\right)}}} \]
      3. pow-prod-upN/A

        \[\leadsto \sqrt{\color{blue}{{k}^{\frac{-1}{2}} \cdot {k}^{\frac{-1}{2}}}} \]
      4. pow-prod-downN/A

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

        \[\leadsto \sqrt{\color{blue}{{\left(k \cdot k\right)}^{\frac{-1}{2}}}} \]
      6. *-lowering-*.f6427.4

        \[\leadsto \sqrt{{\color{blue}{\left(k \cdot k\right)}}^{-0.5}} \]
    10. Applied egg-rr27.4%

      \[\leadsto \sqrt{\color{blue}{{\left(k \cdot k\right)}^{-0.5}}} \]
  3. Recombined 2 regimes into one program.
  4. Add Preprocessing

Alternative 7: 62.1% accurate, 3.2× speedup?

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

\\
\begin{array}{l}
\mathbf{if}\;k \leq 0.5:\\
\;\;\;\;\sqrt{\frac{\pi \cdot 2}{k}} \cdot \sqrt{n}\\

\mathbf{else}:\\
\;\;\;\;\sqrt{\sqrt{\frac{1}{k \cdot k}}}\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if k < 0.5

    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

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

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

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

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

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

        \[\leadsto \sqrt{\frac{n \cdot \color{blue}{\mathsf{PI}\left(\right)}}{k}} \cdot \sqrt{2} \]
      6. sqrt-lowering-sqrt.f6471.1

        \[\leadsto \sqrt{\frac{n \cdot \pi}{k}} \cdot \color{blue}{\sqrt{2}} \]
    5. Simplified71.1%

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

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

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

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

        \[\leadsto \sqrt{\color{blue}{\frac{\mathsf{PI}\left(\right)}{k}} \cdot n} \cdot \sqrt{2} \]
      5. PI-lowering-PI.f6471.1

        \[\leadsto \sqrt{\frac{\color{blue}{\pi}}{k} \cdot n} \cdot \sqrt{2} \]
    7. Applied egg-rr71.1%

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

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

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

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

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

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

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

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

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

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

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

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

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

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

        \[\leadsto \sqrt{\frac{\mathsf{PI}\left(\right)}{k}} \cdot \color{blue}{\sqrt{n \cdot 2}} \]
      15. *-lowering-*.f6496.5

        \[\leadsto \sqrt{\frac{\pi}{k}} \cdot \sqrt{\color{blue}{n \cdot 2}} \]
    9. Applied egg-rr96.5%

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

        \[\leadsto \sqrt{\frac{\mathsf{PI}\left(\right) \cdot 2}{k}} \cdot \color{blue}{\sqrt{n}} \]
      16. sqrt-lowering-sqrt.f6496.6

        \[\leadsto \sqrt{\frac{\pi \cdot 2}{k}} \cdot \color{blue}{\sqrt{n}} \]
    11. Applied egg-rr96.6%

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

    if 0.5 < 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 inf

      \[\leadsto \frac{1}{\sqrt{k}} \cdot {\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot n\right)}^{\color{blue}{\left(\frac{-1}{2} \cdot k\right)}} \]
    4. Step-by-step derivation
      1. *-lowering-*.f64100.0

        \[\leadsto \frac{1}{\sqrt{k}} \cdot {\left(\left(2 \cdot \pi\right) \cdot n\right)}^{\color{blue}{\left(-0.5 \cdot k\right)}} \]
    5. Simplified100.0%

      \[\leadsto \frac{1}{\sqrt{k}} \cdot {\left(\left(2 \cdot \pi\right) \cdot n\right)}^{\color{blue}{\left(-0.5 \cdot k\right)}} \]
    6. Taylor expanded in k around 0

      \[\leadsto \color{blue}{\sqrt{\frac{1}{k}}} \]
    7. Step-by-step derivation
      1. sqrt-lowering-sqrt.f64N/A

        \[\leadsto \color{blue}{\sqrt{\frac{1}{k}}} \]
      2. /-lowering-/.f643.3

        \[\leadsto \sqrt{\color{blue}{\frac{1}{k}}} \]
    8. Simplified3.3%

      \[\leadsto \color{blue}{\sqrt{\frac{1}{k}}} \]
    9. Step-by-step derivation
      1. inv-powN/A

        \[\leadsto \sqrt{\color{blue}{{k}^{-1}}} \]
      2. metadata-evalN/A

        \[\leadsto \sqrt{{k}^{\color{blue}{\left(\frac{-1}{2} + \frac{-1}{2}\right)}}} \]
      3. pow-prod-upN/A

        \[\leadsto \sqrt{\color{blue}{{k}^{\frac{-1}{2}} \cdot {k}^{\frac{-1}{2}}}} \]
      4. pow-prod-downN/A

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

        \[\leadsto \sqrt{\color{blue}{{\left(k \cdot k\right)}^{\frac{-1}{2}}}} \]
      6. *-lowering-*.f6427.4

        \[\leadsto \sqrt{{\color{blue}{\left(k \cdot k\right)}}^{-0.5}} \]
    10. Applied egg-rr27.4%

      \[\leadsto \sqrt{\color{blue}{{\left(k \cdot k\right)}^{-0.5}}} \]
    11. Step-by-step derivation
      1. pow2N/A

        \[\leadsto \sqrt{{\color{blue}{\left({k}^{2}\right)}}^{\frac{-1}{2}}} \]
      2. pow-powN/A

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

        \[\leadsto \sqrt{{k}^{\color{blue}{-1}}} \]
      4. inv-powN/A

        \[\leadsto \sqrt{\color{blue}{\frac{1}{k}}} \]
      5. rem-square-sqrtN/A

        \[\leadsto \sqrt{\color{blue}{\sqrt{\frac{1}{k}} \cdot \sqrt{\frac{1}{k}}}} \]
      6. sqrt-unprodN/A

        \[\leadsto \sqrt{\color{blue}{\sqrt{\frac{1}{k} \cdot \frac{1}{k}}}} \]
      7. sqrt-lowering-sqrt.f64N/A

        \[\leadsto \sqrt{\color{blue}{\sqrt{\frac{1}{k} \cdot \frac{1}{k}}}} \]
      8. frac-timesN/A

        \[\leadsto \sqrt{\sqrt{\color{blue}{\frac{1 \cdot 1}{k \cdot k}}}} \]
      9. metadata-evalN/A

        \[\leadsto \sqrt{\sqrt{\frac{\color{blue}{1}}{k \cdot k}}} \]
      10. /-lowering-/.f64N/A

        \[\leadsto \sqrt{\sqrt{\color{blue}{\frac{1}{k \cdot k}}}} \]
      11. *-lowering-*.f6427.4

        \[\leadsto \sqrt{\sqrt{\frac{1}{\color{blue}{k \cdot k}}}} \]
    12. Applied egg-rr27.4%

      \[\leadsto \sqrt{\color{blue}{\sqrt{\frac{1}{k \cdot k}}}} \]
  3. Recombined 2 regimes into one program.
  4. Add Preprocessing

Alternative 8: 62.1% accurate, 3.2× speedup?

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

\\
\begin{array}{l}
\mathbf{if}\;k \leq 0.5:\\
\;\;\;\;\sqrt{\pi \cdot n} \cdot \sqrt{\frac{2}{k}}\\

\mathbf{else}:\\
\;\;\;\;\sqrt{\sqrt{\frac{1}{k \cdot k}}}\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if k < 0.5

    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

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

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

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

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

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

        \[\leadsto \sqrt{\frac{n \cdot \color{blue}{\mathsf{PI}\left(\right)}}{k}} \cdot \sqrt{2} \]
      6. sqrt-lowering-sqrt.f6471.1

        \[\leadsto \sqrt{\frac{n \cdot \pi}{k}} \cdot \color{blue}{\sqrt{2}} \]
    5. Simplified71.1%

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

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

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

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

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

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

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

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

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

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

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

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

        \[\leadsto \color{blue}{\left(\frac{1}{\sqrt{k}} \cdot \sqrt{2}\right) \cdot {\left(n \cdot \mathsf{PI}\left(\right)\right)}^{\frac{1}{2}}} \]
    7. Applied egg-rr96.6%

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

    if 0.5 < 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 inf

      \[\leadsto \frac{1}{\sqrt{k}} \cdot {\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot n\right)}^{\color{blue}{\left(\frac{-1}{2} \cdot k\right)}} \]
    4. Step-by-step derivation
      1. *-lowering-*.f64100.0

        \[\leadsto \frac{1}{\sqrt{k}} \cdot {\left(\left(2 \cdot \pi\right) \cdot n\right)}^{\color{blue}{\left(-0.5 \cdot k\right)}} \]
    5. Simplified100.0%

      \[\leadsto \frac{1}{\sqrt{k}} \cdot {\left(\left(2 \cdot \pi\right) \cdot n\right)}^{\color{blue}{\left(-0.5 \cdot k\right)}} \]
    6. Taylor expanded in k around 0

      \[\leadsto \color{blue}{\sqrt{\frac{1}{k}}} \]
    7. Step-by-step derivation
      1. sqrt-lowering-sqrt.f64N/A

        \[\leadsto \color{blue}{\sqrt{\frac{1}{k}}} \]
      2. /-lowering-/.f643.3

        \[\leadsto \sqrt{\color{blue}{\frac{1}{k}}} \]
    8. Simplified3.3%

      \[\leadsto \color{blue}{\sqrt{\frac{1}{k}}} \]
    9. Step-by-step derivation
      1. inv-powN/A

        \[\leadsto \sqrt{\color{blue}{{k}^{-1}}} \]
      2. metadata-evalN/A

        \[\leadsto \sqrt{{k}^{\color{blue}{\left(\frac{-1}{2} + \frac{-1}{2}\right)}}} \]
      3. pow-prod-upN/A

        \[\leadsto \sqrt{\color{blue}{{k}^{\frac{-1}{2}} \cdot {k}^{\frac{-1}{2}}}} \]
      4. pow-prod-downN/A

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

        \[\leadsto \sqrt{\color{blue}{{\left(k \cdot k\right)}^{\frac{-1}{2}}}} \]
      6. *-lowering-*.f6427.4

        \[\leadsto \sqrt{{\color{blue}{\left(k \cdot k\right)}}^{-0.5}} \]
    10. Applied egg-rr27.4%

      \[\leadsto \sqrt{\color{blue}{{\left(k \cdot k\right)}^{-0.5}}} \]
    11. Step-by-step derivation
      1. pow2N/A

        \[\leadsto \sqrt{{\color{blue}{\left({k}^{2}\right)}}^{\frac{-1}{2}}} \]
      2. pow-powN/A

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

        \[\leadsto \sqrt{{k}^{\color{blue}{-1}}} \]
      4. inv-powN/A

        \[\leadsto \sqrt{\color{blue}{\frac{1}{k}}} \]
      5. rem-square-sqrtN/A

        \[\leadsto \sqrt{\color{blue}{\sqrt{\frac{1}{k}} \cdot \sqrt{\frac{1}{k}}}} \]
      6. sqrt-unprodN/A

        \[\leadsto \sqrt{\color{blue}{\sqrt{\frac{1}{k} \cdot \frac{1}{k}}}} \]
      7. sqrt-lowering-sqrt.f64N/A

        \[\leadsto \sqrt{\color{blue}{\sqrt{\frac{1}{k} \cdot \frac{1}{k}}}} \]
      8. frac-timesN/A

        \[\leadsto \sqrt{\sqrt{\color{blue}{\frac{1 \cdot 1}{k \cdot k}}}} \]
      9. metadata-evalN/A

        \[\leadsto \sqrt{\sqrt{\frac{\color{blue}{1}}{k \cdot k}}} \]
      10. /-lowering-/.f64N/A

        \[\leadsto \sqrt{\sqrt{\color{blue}{\frac{1}{k \cdot k}}}} \]
      11. *-lowering-*.f6427.4

        \[\leadsto \sqrt{\sqrt{\frac{1}{\color{blue}{k \cdot k}}}} \]
    12. Applied egg-rr27.4%

      \[\leadsto \sqrt{\color{blue}{\sqrt{\frac{1}{k \cdot k}}}} \]
  3. Recombined 2 regimes into one program.
  4. Final simplification60.4%

    \[\leadsto \begin{array}{l} \mathbf{if}\;k \leq 0.5:\\ \;\;\;\;\sqrt{\pi \cdot n} \cdot \sqrt{\frac{2}{k}}\\ \mathbf{else}:\\ \;\;\;\;\sqrt{\sqrt{\frac{1}{k \cdot k}}}\\ \end{array} \]
  5. Add Preprocessing

Alternative 9: 62.1% accurate, 3.2× speedup?

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

\\
\begin{array}{l}
\mathbf{if}\;k \leq 0.5:\\
\;\;\;\;\sqrt{n} \cdot \sqrt{\pi \cdot \frac{2}{k}}\\

\mathbf{else}:\\
\;\;\;\;\sqrt{\sqrt{\frac{1}{k \cdot k}}}\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if k < 0.5

    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

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

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

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

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

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

        \[\leadsto \sqrt{\frac{n \cdot \color{blue}{\mathsf{PI}\left(\right)}}{k}} \cdot \sqrt{2} \]
      6. sqrt-lowering-sqrt.f6471.1

        \[\leadsto \sqrt{\frac{n \cdot \pi}{k}} \cdot \color{blue}{\sqrt{2}} \]
    5. Simplified71.1%

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

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

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

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

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

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

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

        \[\leadsto \sqrt{\color{blue}{\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot n}} \cdot \frac{1}{\sqrt{k}} \]
      8. unpow1/2N/A

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

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

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

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

        \[\leadsto \color{blue}{\left(\frac{1}{\sqrt{k}} \cdot {\left(2 \cdot \mathsf{PI}\left(\right)\right)}^{\frac{1}{2}}\right) \cdot {n}^{\frac{1}{2}}} \]
    7. Applied egg-rr96.6%

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

    if 0.5 < 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 inf

      \[\leadsto \frac{1}{\sqrt{k}} \cdot {\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot n\right)}^{\color{blue}{\left(\frac{-1}{2} \cdot k\right)}} \]
    4. Step-by-step derivation
      1. *-lowering-*.f64100.0

        \[\leadsto \frac{1}{\sqrt{k}} \cdot {\left(\left(2 \cdot \pi\right) \cdot n\right)}^{\color{blue}{\left(-0.5 \cdot k\right)}} \]
    5. Simplified100.0%

      \[\leadsto \frac{1}{\sqrt{k}} \cdot {\left(\left(2 \cdot \pi\right) \cdot n\right)}^{\color{blue}{\left(-0.5 \cdot k\right)}} \]
    6. Taylor expanded in k around 0

      \[\leadsto \color{blue}{\sqrt{\frac{1}{k}}} \]
    7. Step-by-step derivation
      1. sqrt-lowering-sqrt.f64N/A

        \[\leadsto \color{blue}{\sqrt{\frac{1}{k}}} \]
      2. /-lowering-/.f643.3

        \[\leadsto \sqrt{\color{blue}{\frac{1}{k}}} \]
    8. Simplified3.3%

      \[\leadsto \color{blue}{\sqrt{\frac{1}{k}}} \]
    9. Step-by-step derivation
      1. inv-powN/A

        \[\leadsto \sqrt{\color{blue}{{k}^{-1}}} \]
      2. metadata-evalN/A

        \[\leadsto \sqrt{{k}^{\color{blue}{\left(\frac{-1}{2} + \frac{-1}{2}\right)}}} \]
      3. pow-prod-upN/A

        \[\leadsto \sqrt{\color{blue}{{k}^{\frac{-1}{2}} \cdot {k}^{\frac{-1}{2}}}} \]
      4. pow-prod-downN/A

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

        \[\leadsto \sqrt{\color{blue}{{\left(k \cdot k\right)}^{\frac{-1}{2}}}} \]
      6. *-lowering-*.f6427.4

        \[\leadsto \sqrt{{\color{blue}{\left(k \cdot k\right)}}^{-0.5}} \]
    10. Applied egg-rr27.4%

      \[\leadsto \sqrt{\color{blue}{{\left(k \cdot k\right)}^{-0.5}}} \]
    11. Step-by-step derivation
      1. pow2N/A

        \[\leadsto \sqrt{{\color{blue}{\left({k}^{2}\right)}}^{\frac{-1}{2}}} \]
      2. pow-powN/A

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

        \[\leadsto \sqrt{{k}^{\color{blue}{-1}}} \]
      4. inv-powN/A

        \[\leadsto \sqrt{\color{blue}{\frac{1}{k}}} \]
      5. rem-square-sqrtN/A

        \[\leadsto \sqrt{\color{blue}{\sqrt{\frac{1}{k}} \cdot \sqrt{\frac{1}{k}}}} \]
      6. sqrt-unprodN/A

        \[\leadsto \sqrt{\color{blue}{\sqrt{\frac{1}{k} \cdot \frac{1}{k}}}} \]
      7. sqrt-lowering-sqrt.f64N/A

        \[\leadsto \sqrt{\color{blue}{\sqrt{\frac{1}{k} \cdot \frac{1}{k}}}} \]
      8. frac-timesN/A

        \[\leadsto \sqrt{\sqrt{\color{blue}{\frac{1 \cdot 1}{k \cdot k}}}} \]
      9. metadata-evalN/A

        \[\leadsto \sqrt{\sqrt{\frac{\color{blue}{1}}{k \cdot k}}} \]
      10. /-lowering-/.f64N/A

        \[\leadsto \sqrt{\sqrt{\color{blue}{\frac{1}{k \cdot k}}}} \]
      11. *-lowering-*.f6427.4

        \[\leadsto \sqrt{\sqrt{\frac{1}{\color{blue}{k \cdot k}}}} \]
    12. Applied egg-rr27.4%

      \[\leadsto \sqrt{\color{blue}{\sqrt{\frac{1}{k \cdot k}}}} \]
  3. Recombined 2 regimes into one program.
  4. Final simplification60.4%

    \[\leadsto \begin{array}{l} \mathbf{if}\;k \leq 0.5:\\ \;\;\;\;\sqrt{n} \cdot \sqrt{\pi \cdot \frac{2}{k}}\\ \mathbf{else}:\\ \;\;\;\;\sqrt{\sqrt{\frac{1}{k \cdot k}}}\\ \end{array} \]
  5. Add Preprocessing

Alternative 10: 49.9% accurate, 3.5× speedup?

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

\\
\begin{array}{l}
\mathbf{if}\;k \leq 0.5:\\
\;\;\;\;\sqrt{2 \cdot \frac{\pi \cdot n}{k}}\\

\mathbf{else}:\\
\;\;\;\;\sqrt{\sqrt{\frac{1}{k \cdot k}}}\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if k < 0.5

    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

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

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

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

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

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

        \[\leadsto \sqrt{\frac{n \cdot \color{blue}{\mathsf{PI}\left(\right)}}{k}} \cdot \sqrt{2} \]
      6. sqrt-lowering-sqrt.f6471.1

        \[\leadsto \sqrt{\frac{n \cdot \pi}{k}} \cdot \color{blue}{\sqrt{2}} \]
    5. Simplified71.1%

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

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

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

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

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

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

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

        \[\leadsto \sqrt{2 \cdot \frac{\color{blue}{\mathsf{PI}\left(\right) \cdot n}}{k}} \]
      8. PI-lowering-PI.f6471.4

        \[\leadsto \sqrt{2 \cdot \frac{\color{blue}{\pi} \cdot n}{k}} \]
    7. Applied egg-rr71.4%

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

    if 0.5 < 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 inf

      \[\leadsto \frac{1}{\sqrt{k}} \cdot {\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot n\right)}^{\color{blue}{\left(\frac{-1}{2} \cdot k\right)}} \]
    4. Step-by-step derivation
      1. *-lowering-*.f64100.0

        \[\leadsto \frac{1}{\sqrt{k}} \cdot {\left(\left(2 \cdot \pi\right) \cdot n\right)}^{\color{blue}{\left(-0.5 \cdot k\right)}} \]
    5. Simplified100.0%

      \[\leadsto \frac{1}{\sqrt{k}} \cdot {\left(\left(2 \cdot \pi\right) \cdot n\right)}^{\color{blue}{\left(-0.5 \cdot k\right)}} \]
    6. Taylor expanded in k around 0

      \[\leadsto \color{blue}{\sqrt{\frac{1}{k}}} \]
    7. Step-by-step derivation
      1. sqrt-lowering-sqrt.f64N/A

        \[\leadsto \color{blue}{\sqrt{\frac{1}{k}}} \]
      2. /-lowering-/.f643.3

        \[\leadsto \sqrt{\color{blue}{\frac{1}{k}}} \]
    8. Simplified3.3%

      \[\leadsto \color{blue}{\sqrt{\frac{1}{k}}} \]
    9. Step-by-step derivation
      1. inv-powN/A

        \[\leadsto \sqrt{\color{blue}{{k}^{-1}}} \]
      2. metadata-evalN/A

        \[\leadsto \sqrt{{k}^{\color{blue}{\left(\frac{-1}{2} + \frac{-1}{2}\right)}}} \]
      3. pow-prod-upN/A

        \[\leadsto \sqrt{\color{blue}{{k}^{\frac{-1}{2}} \cdot {k}^{\frac{-1}{2}}}} \]
      4. pow-prod-downN/A

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

        \[\leadsto \sqrt{\color{blue}{{\left(k \cdot k\right)}^{\frac{-1}{2}}}} \]
      6. *-lowering-*.f6427.4

        \[\leadsto \sqrt{{\color{blue}{\left(k \cdot k\right)}}^{-0.5}} \]
    10. Applied egg-rr27.4%

      \[\leadsto \sqrt{\color{blue}{{\left(k \cdot k\right)}^{-0.5}}} \]
    11. Step-by-step derivation
      1. pow2N/A

        \[\leadsto \sqrt{{\color{blue}{\left({k}^{2}\right)}}^{\frac{-1}{2}}} \]
      2. pow-powN/A

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

        \[\leadsto \sqrt{{k}^{\color{blue}{-1}}} \]
      4. inv-powN/A

        \[\leadsto \sqrt{\color{blue}{\frac{1}{k}}} \]
      5. rem-square-sqrtN/A

        \[\leadsto \sqrt{\color{blue}{\sqrt{\frac{1}{k}} \cdot \sqrt{\frac{1}{k}}}} \]
      6. sqrt-unprodN/A

        \[\leadsto \sqrt{\color{blue}{\sqrt{\frac{1}{k} \cdot \frac{1}{k}}}} \]
      7. sqrt-lowering-sqrt.f64N/A

        \[\leadsto \sqrt{\color{blue}{\sqrt{\frac{1}{k} \cdot \frac{1}{k}}}} \]
      8. frac-timesN/A

        \[\leadsto \sqrt{\sqrt{\color{blue}{\frac{1 \cdot 1}{k \cdot k}}}} \]
      9. metadata-evalN/A

        \[\leadsto \sqrt{\sqrt{\frac{\color{blue}{1}}{k \cdot k}}} \]
      10. /-lowering-/.f64N/A

        \[\leadsto \sqrt{\sqrt{\color{blue}{\frac{1}{k \cdot k}}}} \]
      11. *-lowering-*.f6427.4

        \[\leadsto \sqrt{\sqrt{\frac{1}{\color{blue}{k \cdot k}}}} \]
    12. Applied egg-rr27.4%

      \[\leadsto \sqrt{\color{blue}{\sqrt{\frac{1}{k \cdot k}}}} \]
  3. Recombined 2 regimes into one program.
  4. Add Preprocessing

Alternative 11: 37.9% accurate, 4.8× speedup?

\[\begin{array}{l} \\ \sqrt{2 \cdot \frac{\pi \cdot n}{k}} \end{array} \]
(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(Float64(pi * 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[(N[(Pi * n), $MachinePrecision] / k), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}

\\
\sqrt{2 \cdot \frac{\pi \cdot n}{k}}
\end{array}
Derivation
  1. Initial program 99.6%

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

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

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

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

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

      \[\leadsto \sqrt{\frac{n \cdot \color{blue}{\mathsf{PI}\left(\right)}}{k}} \cdot \sqrt{2} \]
    6. sqrt-lowering-sqrt.f6435.3

      \[\leadsto \sqrt{\frac{n \cdot \pi}{k}} \cdot \color{blue}{\sqrt{2}} \]
  5. Simplified35.3%

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

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

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

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

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

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

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

      \[\leadsto \sqrt{2 \cdot \frac{\color{blue}{\mathsf{PI}\left(\right) \cdot n}}{k}} \]
    8. PI-lowering-PI.f6435.4

      \[\leadsto \sqrt{2 \cdot \frac{\color{blue}{\pi} \cdot n}{k}} \]
  7. Applied egg-rr35.4%

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

Alternative 12: 5.1% accurate, 6.9× speedup?

\[\begin{array}{l} \\ \sqrt{\frac{1}{k}} \end{array} \]
(FPCore (k n) :precision binary64 (sqrt (/ 1.0 k)))
double code(double k, double n) {
	return sqrt((1.0 / k));
}
real(8) function code(k, n)
    real(8), intent (in) :: k
    real(8), intent (in) :: n
    code = sqrt((1.0d0 / k))
end function
public static double code(double k, double n) {
	return Math.sqrt((1.0 / k));
}
def code(k, n):
	return math.sqrt((1.0 / k))
function code(k, n)
	return sqrt(Float64(1.0 / k))
end
function tmp = code(k, n)
	tmp = sqrt((1.0 / k));
end
code[k_, n_] := N[Sqrt[N[(1.0 / k), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}

\\
\sqrt{\frac{1}{k}}
\end{array}
Derivation
  1. Initial program 99.6%

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

    \[\leadsto \frac{1}{\sqrt{k}} \cdot {\left(\left(2 \cdot \mathsf{PI}\left(\right)\right) \cdot n\right)}^{\color{blue}{\left(\frac{-1}{2} \cdot k\right)}} \]
  4. Step-by-step derivation
    1. *-lowering-*.f6455.8

      \[\leadsto \frac{1}{\sqrt{k}} \cdot {\left(\left(2 \cdot \pi\right) \cdot n\right)}^{\color{blue}{\left(-0.5 \cdot k\right)}} \]
  5. Simplified55.8%

    \[\leadsto \frac{1}{\sqrt{k}} \cdot {\left(\left(2 \cdot \pi\right) \cdot n\right)}^{\color{blue}{\left(-0.5 \cdot k\right)}} \]
  6. Taylor expanded in k around 0

    \[\leadsto \color{blue}{\sqrt{\frac{1}{k}}} \]
  7. Step-by-step derivation
    1. sqrt-lowering-sqrt.f64N/A

      \[\leadsto \color{blue}{\sqrt{\frac{1}{k}}} \]
    2. /-lowering-/.f645.2

      \[\leadsto \sqrt{\color{blue}{\frac{1}{k}}} \]
  8. Simplified5.2%

    \[\leadsto \color{blue}{\sqrt{\frac{1}{k}}} \]
  9. Add Preprocessing

Reproduce

?
herbie shell --seed 2024205 
(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))))