Migdal et al, Equation (51)

?

Percentage Accurate: 99.5% → 99.6%
Time: 16.3s
Precision: binary64
Cost: 32896

?

\[\frac{1}{\sqrt{k}} \cdot {\left(\left(2 \cdot \pi\right) \cdot n\right)}^{\left(\frac{1 - k}{2}\right)} \]
↓
\[\begin{array}{l} t_0 := \pi \cdot \left(n + n\right)\\ \frac{\frac{\sqrt{t_0}}{{t_0}^{\left(k \cdot 0.5\right)}}}{\sqrt{k}} \end{array} \]
(FPCore (k n)
 :precision binary64
 (* (/ 1.0 (sqrt k)) (pow (* (* 2.0 PI) n) (/ (- 1.0 k) 2.0))))
↓
(FPCore (k n)
 :precision binary64
 (let* ((t_0 (* PI (+ n n)))) (/ (/ (sqrt t_0) (pow t_0 (* k 0.5))) (sqrt k))))
double code(double k, double n) {
	return (1.0 / sqrt(k)) * pow(((2.0 * ((double) M_PI)) * n), ((1.0 - k) / 2.0));
}
↓
double code(double k, double n) {
	double t_0 = ((double) M_PI) * (n + n);
	return (sqrt(t_0) / pow(t_0, (k * 0.5))) / sqrt(k);
}

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));
}
↓
public static double code(double k, double n) {
	double t_0 = Math.PI * (n + n);
	return (Math.sqrt(t_0) / Math.pow(t_0, (k * 0.5))) / Math.sqrt(k);
}

def code(k, n):
	return (1.0 / math.sqrt(k)) * math.pow(((2.0 * math.pi) * n), ((1.0 - k) / 2.0))
↓
def code(k, n):
	t_0 = math.pi * (n + n)
	return (math.sqrt(t_0) / math.pow(t_0, (k * 0.5))) / math.sqrt(k)

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 code(k, n)
	t_0 = Float64(pi * Float64(n + n))
	return Float64(Float64(sqrt(t_0) / (t_0 ^ Float64(k * 0.5))) / sqrt(k))
end

function tmp = code(k, n)
	tmp = (1.0 / sqrt(k)) * (((2.0 * pi) * n) ^ ((1.0 - k) / 2.0));
end
↓
function tmp = code(k, n)
	t_0 = pi * (n + n);
	tmp = (sqrt(t_0) / (t_0 ^ (k * 0.5))) / sqrt(k);
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]
↓
code[k_, n_] := Block[{t$95$0 = N[(Pi * N[(n + n), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[Sqrt[t$95$0], $MachinePrecision] / N[Power[t$95$0, N[(k * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[Sqrt[k], $MachinePrecision]), $MachinePrecision]]

\frac{1}{\sqrt{k}} \cdot {\left(\left(2 \cdot \pi\right) \cdot n\right)}^{\left(\frac{1 - k}{2}\right)}
↓
\begin{array}{l}
t_0 := \pi \cdot \left(n + n\right)\\
\frac{\frac{\sqrt{t_0}}{{t_0}^{\left(k \cdot 0.5\right)}}}{\sqrt{k}}
\end{array}

Local Percentage Accuracy?

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.

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Results

Enter valid numbers for all inputs

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. Simplified99.6%

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

    [Start]99.6

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

    associate-*l/ [=>]99.6

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

    *-lft-identity [=>]99.6

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

    *-commutative [=>]99.6

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

    associate-*l* [=>]99.6

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

  3. Applied egg-rr99.8%

    \[\leadsto \frac{\color{blue}{\frac{\sqrt{\pi \cdot \left(n + n\right)}}{{\left(\pi \cdot \left(n + n\right)\right)}^{\left(k \cdot 0.5\right)}}}}{\sqrt{k}} \]
    Step-by-step derivation

    [Start]99.6

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

    div-sub [=>]99.6

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

    metadata-eval [=>]99.6

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

    pow-sub [=>]99.8

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

    pow1/2 [<=]99.8

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

    add-log-exp [=>]3.7

    \[ \frac{\frac{\sqrt{\pi \cdot \color{blue}{\log \left(e^{2 \cdot n}\right)}}}{{\left(\pi \cdot \left(2 \cdot n\right)\right)}^{\left(\frac{k}{2}\right)}}}{\sqrt{k}} \]

    *-commutative [=>]3.7

    \[ \frac{\frac{\sqrt{\pi \cdot \log \left(e^{\color{blue}{n \cdot 2}}\right)}}{{\left(\pi \cdot \left(2 \cdot n\right)\right)}^{\left(\frac{k}{2}\right)}}}{\sqrt{k}} \]

    exp-lft-sqr [=>]3.7

    \[ \frac{\frac{\sqrt{\pi \cdot \log \color{blue}{\left(e^{n} \cdot e^{n}\right)}}}{{\left(\pi \cdot \left(2 \cdot n\right)\right)}^{\left(\frac{k}{2}\right)}}}{\sqrt{k}} \]

    log-prod [=>]3.8

    \[ \frac{\frac{\sqrt{\pi \cdot \color{blue}{\left(\log \left(e^{n}\right) + \log \left(e^{n}\right)\right)}}}{{\left(\pi \cdot \left(2 \cdot n\right)\right)}^{\left(\frac{k}{2}\right)}}}{\sqrt{k}} \]

    add-log-exp [<=]27.8

    \[ \frac{\frac{\sqrt{\pi \cdot \left(\color{blue}{n} + \log \left(e^{n}\right)\right)}}{{\left(\pi \cdot \left(2 \cdot n\right)\right)}^{\left(\frac{k}{2}\right)}}}{\sqrt{k}} \]

    add-log-exp [<=]99.8

    \[ \frac{\frac{\sqrt{\pi \cdot \left(n + \color{blue}{n}\right)}}{{\left(\pi \cdot \left(2 \cdot n\right)\right)}^{\left(\frac{k}{2}\right)}}}{\sqrt{k}} \]

    add-log-exp [=>]58.2

    \[ \frac{\frac{\sqrt{\pi \cdot \left(n + n\right)}}{{\left(\pi \cdot \color{blue}{\log \left(e^{2 \cdot n}\right)}\right)}^{\left(\frac{k}{2}\right)}}}{\sqrt{k}} \]

    *-commutative [=>]58.2

    \[ \frac{\frac{\sqrt{\pi \cdot \left(n + n\right)}}{{\left(\pi \cdot \log \left(e^{\color{blue}{n \cdot 2}}\right)\right)}^{\left(\frac{k}{2}\right)}}}{\sqrt{k}} \]

    exp-lft-sqr [=>]58.2

    \[ \frac{\frac{\sqrt{\pi \cdot \left(n + n\right)}}{{\left(\pi \cdot \log \color{blue}{\left(e^{n} \cdot e^{n}\right)}\right)}^{\left(\frac{k}{2}\right)}}}{\sqrt{k}} \]

    log-prod [=>]58.2

    \[ \frac{\frac{\sqrt{\pi \cdot \left(n + n\right)}}{{\left(\pi \cdot \color{blue}{\left(\log \left(e^{n}\right) + \log \left(e^{n}\right)\right)}\right)}^{\left(\frac{k}{2}\right)}}}{\sqrt{k}} \]

    add-log-exp [<=]76.0

    \[ \frac{\frac{\sqrt{\pi \cdot \left(n + n\right)}}{{\left(\pi \cdot \left(\color{blue}{n} + \log \left(e^{n}\right)\right)\right)}^{\left(\frac{k}{2}\right)}}}{\sqrt{k}} \]

    add-log-exp [<=]99.8

    \[ \frac{\frac{\sqrt{\pi \cdot \left(n + n\right)}}{{\left(\pi \cdot \left(n + \color{blue}{n}\right)\right)}^{\left(\frac{k}{2}\right)}}}{\sqrt{k}} \]

  4. Final simplification99.8%

    \[\leadsto \frac{\frac{\sqrt{\pi \cdot \left(n + n\right)}}{{\left(\pi \cdot \left(n + n\right)\right)}^{\left(k \cdot 0.5\right)}}}{\sqrt{k}} \]

Alternatives

Alternative 1
Accuracy99.4%
Cost19908
\[\begin{array}{l} \mathbf{if}\;k \leq 1.35 \cdot 10^{-21}:\\ \;\;\;\;\sqrt{\frac{\pi}{k}} \cdot \sqrt{n + n}\\ \mathbf{else}:\\ \;\;\;\;\sqrt{\frac{{\left(\pi \cdot \left(n + n\right)\right)}^{\left(1 - k\right)}}{k}}\\ \end{array} \]
Alternative 2
Accuracy99.5%
Cost19904
\[\frac{{\left(\pi \cdot \left(n \cdot 2\right)\right)}^{\left(\frac{1 - k}{2}\right)}}{\sqrt{k}} \]
Alternative 3
Accuracy55.0%
Cost19844
\[\begin{array}{l} \mathbf{if}\;k \leq 2.6 \cdot 10^{+143}:\\ \;\;\;\;\sqrt{\frac{\pi}{k}} \cdot \sqrt{n + n}\\ \mathbf{else}:\\ \;\;\;\;{\left({\left(n \cdot \left(2 \cdot \frac{\pi}{k}\right)\right)}^{3}\right)}^{0.16666666666666666}\\ \end{array} \]
Alternative 4
Accuracy55.1%
Cost19844
\[\begin{array}{l} \mathbf{if}\;k \leq 1.02 \cdot 10^{+147}:\\ \;\;\;\;\sqrt{\frac{\pi}{k}} \cdot \sqrt{n + n}\\ \mathbf{else}:\\ \;\;\;\;{\left({\left(\frac{\pi \cdot 2}{\frac{k}{n}}\right)}^{-3}\right)}^{-0.16666666666666666}\\ \end{array} \]
Alternative 5
Accuracy51.3%
Cost19780
\[\begin{array}{l} \mathbf{if}\;k \leq 10^{+223}:\\ \;\;\;\;\sqrt{\frac{\pi}{k}} \cdot \sqrt{n + n}\\ \mathbf{else}:\\ \;\;\;\;\sqrt[3]{{\left(\frac{k}{\pi \cdot \left(n \cdot 2\right)}\right)}^{-1.5}}\\ \end{array} \]
Alternative 6
Accuracy50.1%
Cost19584
\[\sqrt{\frac{2}{k}} \cdot \sqrt{\pi \cdot n} \]
Alternative 7
Accuracy50.2%
Cost19584
\[\sqrt{\frac{\pi}{k}} \cdot \sqrt{n + n} \]
Alternative 8
Accuracy39.2%
Cost13248
\[{\left(k \cdot \frac{\frac{0.5}{n}}{\pi}\right)}^{-0.5} \]
Alternative 9
Accuracy39.2%
Cost13248
\[{\left(\frac{\frac{k}{n \cdot 2}}{\pi}\right)}^{-0.5} \]
Alternative 10
Accuracy38.5%
Cost13184
\[\sqrt{2 \cdot \left(n \cdot \frac{\pi}{k}\right)} \]
Alternative 11
Accuracy38.5%
Cost13184
\[\sqrt{2 \cdot \left(\pi \cdot \frac{n}{k}\right)} \]
Alternative 12
Accuracy38.5%
Cost13184
\[\sqrt{\pi \cdot \left(2 \cdot \frac{n}{k}\right)} \]

Error

Reproduce?

herbie shell --seed 2023160 
(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))))