
(FPCore (x)
:precision binary64
(let* ((t_0 (/ 1.0 (fabs x)))
(t_1 (* (* t_0 t_0) t_0))
(t_2 (* (* t_1 t_0) t_0)))
(*
(* (/ 1.0 (sqrt PI)) (exp (* (fabs x) (fabs x))))
(+
(+ (+ t_0 (* (/ 1.0 2.0) t_1)) (* (/ 3.0 4.0) t_2))
(* (/ 15.0 8.0) (* (* t_2 t_0) t_0))))))
double code(double x) {
double t_0 = 1.0 / fabs(x);
double t_1 = (t_0 * t_0) * t_0;
double t_2 = (t_1 * t_0) * t_0;
return ((1.0 / sqrt(((double) M_PI))) * exp((fabs(x) * fabs(x)))) * (((t_0 + ((1.0 / 2.0) * t_1)) + ((3.0 / 4.0) * t_2)) + ((15.0 / 8.0) * ((t_2 * t_0) * t_0)));
}
public static double code(double x) {
double t_0 = 1.0 / Math.abs(x);
double t_1 = (t_0 * t_0) * t_0;
double t_2 = (t_1 * t_0) * t_0;
return ((1.0 / Math.sqrt(Math.PI)) * Math.exp((Math.abs(x) * Math.abs(x)))) * (((t_0 + ((1.0 / 2.0) * t_1)) + ((3.0 / 4.0) * t_2)) + ((15.0 / 8.0) * ((t_2 * t_0) * t_0)));
}
def code(x): t_0 = 1.0 / math.fabs(x) t_1 = (t_0 * t_0) * t_0 t_2 = (t_1 * t_0) * t_0 return ((1.0 / math.sqrt(math.pi)) * math.exp((math.fabs(x) * math.fabs(x)))) * (((t_0 + ((1.0 / 2.0) * t_1)) + ((3.0 / 4.0) * t_2)) + ((15.0 / 8.0) * ((t_2 * t_0) * t_0)))
function code(x) t_0 = Float64(1.0 / abs(x)) t_1 = Float64(Float64(t_0 * t_0) * t_0) t_2 = Float64(Float64(t_1 * t_0) * t_0) return Float64(Float64(Float64(1.0 / sqrt(pi)) * exp(Float64(abs(x) * abs(x)))) * Float64(Float64(Float64(t_0 + Float64(Float64(1.0 / 2.0) * t_1)) + Float64(Float64(3.0 / 4.0) * t_2)) + Float64(Float64(15.0 / 8.0) * Float64(Float64(t_2 * t_0) * t_0)))) end
function tmp = code(x) t_0 = 1.0 / abs(x); t_1 = (t_0 * t_0) * t_0; t_2 = (t_1 * t_0) * t_0; tmp = ((1.0 / sqrt(pi)) * exp((abs(x) * abs(x)))) * (((t_0 + ((1.0 / 2.0) * t_1)) + ((3.0 / 4.0) * t_2)) + ((15.0 / 8.0) * ((t_2 * t_0) * t_0))); end
code[x_] := Block[{t$95$0 = N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(t$95$0 * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]}, Block[{t$95$2 = N[(N[(t$95$1 * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]}, N[(N[(N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[Exp[N[(N[Abs[x], $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(t$95$0 + N[(N[(1.0 / 2.0), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] + N[(N[(3.0 / 4.0), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision] + N[(N[(15.0 / 8.0), $MachinePrecision] * N[(N[(t$95$2 * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{1}{\left|x\right|}\\
t_1 := \left(t_0 \cdot t_0\right) \cdot t_0\\
t_2 := \left(t_1 \cdot t_0\right) \cdot t_0\\
\left(\frac{1}{\sqrt{\pi}} \cdot e^{\left|x\right| \cdot \left|x\right|}\right) \cdot \left(\left(\left(t_0 + \frac{1}{2} \cdot t_1\right) + \frac{3}{4} \cdot t_2\right) + \frac{15}{8} \cdot \left(\left(t_2 \cdot t_0\right) \cdot t_0\right)\right)
\end{array}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 8 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x)
:precision binary64
(let* ((t_0 (/ 1.0 (fabs x)))
(t_1 (* (* t_0 t_0) t_0))
(t_2 (* (* t_1 t_0) t_0)))
(*
(* (/ 1.0 (sqrt PI)) (exp (* (fabs x) (fabs x))))
(+
(+ (+ t_0 (* (/ 1.0 2.0) t_1)) (* (/ 3.0 4.0) t_2))
(* (/ 15.0 8.0) (* (* t_2 t_0) t_0))))))
double code(double x) {
double t_0 = 1.0 / fabs(x);
double t_1 = (t_0 * t_0) * t_0;
double t_2 = (t_1 * t_0) * t_0;
return ((1.0 / sqrt(((double) M_PI))) * exp((fabs(x) * fabs(x)))) * (((t_0 + ((1.0 / 2.0) * t_1)) + ((3.0 / 4.0) * t_2)) + ((15.0 / 8.0) * ((t_2 * t_0) * t_0)));
}
public static double code(double x) {
double t_0 = 1.0 / Math.abs(x);
double t_1 = (t_0 * t_0) * t_0;
double t_2 = (t_1 * t_0) * t_0;
return ((1.0 / Math.sqrt(Math.PI)) * Math.exp((Math.abs(x) * Math.abs(x)))) * (((t_0 + ((1.0 / 2.0) * t_1)) + ((3.0 / 4.0) * t_2)) + ((15.0 / 8.0) * ((t_2 * t_0) * t_0)));
}
def code(x): t_0 = 1.0 / math.fabs(x) t_1 = (t_0 * t_0) * t_0 t_2 = (t_1 * t_0) * t_0 return ((1.0 / math.sqrt(math.pi)) * math.exp((math.fabs(x) * math.fabs(x)))) * (((t_0 + ((1.0 / 2.0) * t_1)) + ((3.0 / 4.0) * t_2)) + ((15.0 / 8.0) * ((t_2 * t_0) * t_0)))
function code(x) t_0 = Float64(1.0 / abs(x)) t_1 = Float64(Float64(t_0 * t_0) * t_0) t_2 = Float64(Float64(t_1 * t_0) * t_0) return Float64(Float64(Float64(1.0 / sqrt(pi)) * exp(Float64(abs(x) * abs(x)))) * Float64(Float64(Float64(t_0 + Float64(Float64(1.0 / 2.0) * t_1)) + Float64(Float64(3.0 / 4.0) * t_2)) + Float64(Float64(15.0 / 8.0) * Float64(Float64(t_2 * t_0) * t_0)))) end
function tmp = code(x) t_0 = 1.0 / abs(x); t_1 = (t_0 * t_0) * t_0; t_2 = (t_1 * t_0) * t_0; tmp = ((1.0 / sqrt(pi)) * exp((abs(x) * abs(x)))) * (((t_0 + ((1.0 / 2.0) * t_1)) + ((3.0 / 4.0) * t_2)) + ((15.0 / 8.0) * ((t_2 * t_0) * t_0))); end
code[x_] := Block[{t$95$0 = N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(t$95$0 * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]}, Block[{t$95$2 = N[(N[(t$95$1 * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]}, N[(N[(N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[Exp[N[(N[Abs[x], $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(t$95$0 + N[(N[(1.0 / 2.0), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] + N[(N[(3.0 / 4.0), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision] + N[(N[(15.0 / 8.0), $MachinePrecision] * N[(N[(t$95$2 * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{1}{\left|x\right|}\\
t_1 := \left(t_0 \cdot t_0\right) \cdot t_0\\
t_2 := \left(t_1 \cdot t_0\right) \cdot t_0\\
\left(\frac{1}{\sqrt{\pi}} \cdot e^{\left|x\right| \cdot \left|x\right|}\right) \cdot \left(\left(\left(t_0 + \frac{1}{2} \cdot t_1\right) + \frac{3}{4} \cdot t_2\right) + \frac{15}{8} \cdot \left(\left(t_2 \cdot t_0\right) \cdot t_0\right)\right)
\end{array}
\end{array}
(FPCore (x)
:precision binary64
(let* ((t_0 (cbrt (pow PI 0.75))))
(*
(/ (pow (exp x) x) (* t_0 t_0))
(fma
(+ 1.0 (/ 0.5 (* x x)))
(/ 1.0 (fabs x))
(+ (/ 0.75 (pow x 5.0)) (/ (/ 1.875 (pow x 6.0)) x))))))
double code(double x) {
double t_0 = cbrt(pow(((double) M_PI), 0.75));
return (pow(exp(x), x) / (t_0 * t_0)) * fma((1.0 + (0.5 / (x * x))), (1.0 / fabs(x)), ((0.75 / pow(x, 5.0)) + ((1.875 / pow(x, 6.0)) / x)));
}
function code(x) t_0 = cbrt((pi ^ 0.75)) return Float64(Float64((exp(x) ^ x) / Float64(t_0 * t_0)) * fma(Float64(1.0 + Float64(0.5 / Float64(x * x))), Float64(1.0 / abs(x)), Float64(Float64(0.75 / (x ^ 5.0)) + Float64(Float64(1.875 / (x ^ 6.0)) / x)))) end
code[x_] := Block[{t$95$0 = N[Power[N[Power[Pi, 0.75], $MachinePrecision], 1/3], $MachinePrecision]}, N[(N[(N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision] / N[(t$95$0 * t$95$0), $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 + N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision] + N[(N[(0.75 / N[Power[x, 5.0], $MachinePrecision]), $MachinePrecision] + N[(N[(1.875 / N[Power[x, 6.0], $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt[3]{{\pi}^{0.75}}\\
\frac{{\left(e^{x}\right)}^{x}}{t_0 \cdot t_0} \cdot \mathsf{fma}\left(1 + \frac{0.5}{x \cdot x}, \frac{1}{\left|x\right|}, \frac{0.75}{{x}^{5}} + \frac{\frac{1.875}{{x}^{6}}}{x}\right)
\end{array}
\end{array}
Initial program 99.9%
Simplified100.0%
add-cbrt-cube100.0%
pow1/3100.0%
add-sqr-sqrt100.0%
pow1100.0%
pow1/2100.0%
pow-prod-up100.0%
metadata-eval100.0%
Applied egg-rr100.0%
unpow1/3100.0%
Simplified100.0%
pow1/3100.0%
add-sqr-sqrt100.0%
unpow-prod-down100.0%
sqrt-pow1100.0%
metadata-eval100.0%
sqrt-pow1100.0%
metadata-eval100.0%
Applied egg-rr100.0%
unpow1/3100.0%
unpow1/3100.0%
Simplified100.0%
expm1-log1p-u100.0%
expm1-udef100.0%
inv-pow100.0%
pow-pow100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
metadata-eval100.0%
Applied egg-rr100.0%
expm1-def100.0%
expm1-log1p100.0%
Simplified100.0%
Taylor expanded in x around 0 100.0%
associate-*r/100.0%
metadata-eval100.0%
*-commutative100.0%
rem-square-sqrt100.0%
fabs-sqr100.0%
rem-square-sqrt100.0%
pow-plus100.0%
metadata-eval100.0%
associate-*r/100.0%
metadata-eval100.0%
metadata-eval100.0%
pow-sqr100.0%
cube-prod100.0%
*-commutative100.0%
associate-/r*100.0%
cube-prod100.0%
pow-sqr100.0%
metadata-eval100.0%
rem-square-sqrt100.0%
fabs-sqr100.0%
rem-square-sqrt100.0%
Simplified100.0%
Final simplification100.0%
(FPCore (x)
:precision binary64
(*
(/ (pow (exp x) x) (sqrt PI))
(fma
(+ 1.0 (/ 0.5 (* x x)))
(/ 1.0 (fabs x))
(+
(exp (log1p (* (/ (pow x -4.0) x) (fma 1.875 (pow x -2.0) 0.75))))
-1.0))))
double code(double x) {
return (pow(exp(x), x) / sqrt(((double) M_PI))) * fma((1.0 + (0.5 / (x * x))), (1.0 / fabs(x)), (exp(log1p(((pow(x, -4.0) / x) * fma(1.875, pow(x, -2.0), 0.75)))) + -1.0));
}
function code(x) return Float64(Float64((exp(x) ^ x) / sqrt(pi)) * fma(Float64(1.0 + Float64(0.5 / Float64(x * x))), Float64(1.0 / abs(x)), Float64(exp(log1p(Float64(Float64((x ^ -4.0) / x) * fma(1.875, (x ^ -2.0), 0.75)))) + -1.0))) end
code[x_] := N[(N[(N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 + N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision] + N[(N[Exp[N[Log[1 + N[(N[(N[Power[x, -4.0], $MachinePrecision] / x), $MachinePrecision] * N[(1.875 * N[Power[x, -2.0], $MachinePrecision] + 0.75), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{{\left(e^{x}\right)}^{x}}{\sqrt{\pi}} \cdot \mathsf{fma}\left(1 + \frac{0.5}{x \cdot x}, \frac{1}{\left|x\right|}, e^{\mathsf{log1p}\left(\frac{{x}^{-4}}{x} \cdot \mathsf{fma}\left(1.875, {x}^{-2}, 0.75\right)\right)} + -1\right)
\end{array}
Initial program 99.9%
Simplified100.0%
expm1-log1p-u100.0%
expm1-udef100.0%
inv-pow100.0%
pow-pow100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
metadata-eval100.0%
Applied egg-rr100.0%
expm1-def100.0%
expm1-log1p100.0%
Simplified100.0%
expm1-log1p-u100.0%
expm1-udef100.0%
associate-*l/100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
associate-*l/100.0%
+-commutative100.0%
div-inv100.0%
fma-def100.0%
pow2100.0%
pow-flip100.0%
metadata-eval100.0%
Applied egg-rr100.0%
Final simplification100.0%
(FPCore (x) :precision binary64 (* (fma (+ 1.0 (/ 0.5 (* x x))) (/ 1.0 (fabs x)) (+ (/ 0.75 (pow x 5.0)) (/ (/ 1.875 (pow x 6.0)) x))) (/ (pow (exp x) x) (cbrt (pow PI 1.5)))))
double code(double x) {
return fma((1.0 + (0.5 / (x * x))), (1.0 / fabs(x)), ((0.75 / pow(x, 5.0)) + ((1.875 / pow(x, 6.0)) / x))) * (pow(exp(x), x) / cbrt(pow(((double) M_PI), 1.5)));
}
function code(x) return Float64(fma(Float64(1.0 + Float64(0.5 / Float64(x * x))), Float64(1.0 / abs(x)), Float64(Float64(0.75 / (x ^ 5.0)) + Float64(Float64(1.875 / (x ^ 6.0)) / x))) * Float64((exp(x) ^ x) / cbrt((pi ^ 1.5)))) end
code[x_] := N[(N[(N[(1.0 + N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision] + N[(N[(0.75 / N[Power[x, 5.0], $MachinePrecision]), $MachinePrecision] + N[(N[(1.875 / N[Power[x, 6.0], $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision] / N[Power[N[Power[Pi, 1.5], $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\mathsf{fma}\left(1 + \frac{0.5}{x \cdot x}, \frac{1}{\left|x\right|}, \frac{0.75}{{x}^{5}} + \frac{\frac{1.875}{{x}^{6}}}{x}\right) \cdot \frac{{\left(e^{x}\right)}^{x}}{\sqrt[3]{{\pi}^{1.5}}}
\end{array}
Initial program 99.9%
Simplified100.0%
add-cbrt-cube100.0%
pow1/3100.0%
add-sqr-sqrt100.0%
pow1100.0%
pow1/2100.0%
pow-prod-up100.0%
metadata-eval100.0%
Applied egg-rr100.0%
unpow1/3100.0%
Simplified100.0%
expm1-log1p-u100.0%
expm1-udef100.0%
inv-pow100.0%
pow-pow100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
metadata-eval100.0%
Applied egg-rr100.0%
expm1-def100.0%
expm1-log1p100.0%
Simplified100.0%
Taylor expanded in x around 0 100.0%
associate-*r/100.0%
metadata-eval100.0%
*-commutative100.0%
rem-square-sqrt100.0%
fabs-sqr100.0%
rem-square-sqrt100.0%
pow-plus100.0%
metadata-eval100.0%
associate-*r/100.0%
metadata-eval100.0%
metadata-eval100.0%
pow-sqr100.0%
cube-prod100.0%
*-commutative100.0%
associate-/r*100.0%
cube-prod100.0%
pow-sqr100.0%
metadata-eval100.0%
rem-square-sqrt100.0%
fabs-sqr100.0%
rem-square-sqrt100.0%
Simplified100.0%
Final simplification100.0%
(FPCore (x) :precision binary64 (* (fma (+ 1.0 (/ 0.5 (* x x))) (/ 1.0 (fabs x)) (+ (/ 0.75 (pow x 5.0)) (/ (/ 1.875 (pow x 6.0)) x))) (/ (pow (exp x) x) (sqrt PI))))
double code(double x) {
return fma((1.0 + (0.5 / (x * x))), (1.0 / fabs(x)), ((0.75 / pow(x, 5.0)) + ((1.875 / pow(x, 6.0)) / x))) * (pow(exp(x), x) / sqrt(((double) M_PI)));
}
function code(x) return Float64(fma(Float64(1.0 + Float64(0.5 / Float64(x * x))), Float64(1.0 / abs(x)), Float64(Float64(0.75 / (x ^ 5.0)) + Float64(Float64(1.875 / (x ^ 6.0)) / x))) * Float64((exp(x) ^ x) / sqrt(pi))) end
code[x_] := N[(N[(N[(1.0 + N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision] + N[(N[(0.75 / N[Power[x, 5.0], $MachinePrecision]), $MachinePrecision] + N[(N[(1.875 / N[Power[x, 6.0], $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\mathsf{fma}\left(1 + \frac{0.5}{x \cdot x}, \frac{1}{\left|x\right|}, \frac{0.75}{{x}^{5}} + \frac{\frac{1.875}{{x}^{6}}}{x}\right) \cdot \frac{{\left(e^{x}\right)}^{x}}{\sqrt{\pi}}
\end{array}
Initial program 99.9%
Simplified100.0%
expm1-log1p-u100.0%
expm1-udef100.0%
inv-pow100.0%
pow-pow100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
metadata-eval100.0%
Applied egg-rr100.0%
expm1-def100.0%
expm1-log1p100.0%
Simplified100.0%
Taylor expanded in x around 0 100.0%
associate-*r/100.0%
metadata-eval100.0%
*-commutative100.0%
rem-square-sqrt100.0%
fabs-sqr100.0%
rem-square-sqrt100.0%
pow-plus100.0%
metadata-eval100.0%
associate-*r/100.0%
metadata-eval100.0%
metadata-eval100.0%
pow-sqr100.0%
cube-prod100.0%
*-commutative100.0%
associate-/r*100.0%
cube-prod100.0%
pow-sqr100.0%
metadata-eval100.0%
rem-square-sqrt100.0%
fabs-sqr100.0%
rem-square-sqrt100.0%
Simplified100.0%
Final simplification100.0%
(FPCore (x) :precision binary64 (* (/ (exp (* x x)) (cbrt (pow PI 1.5))) (+ (/ (+ 1.0 (/ 0.5 (* x x))) (fabs x)) (* (+ (+ 1.0 (pow x -5.0)) -1.0) (+ 0.75 (/ 1.875 (* x x)))))))
double code(double x) {
return (exp((x * x)) / cbrt(pow(((double) M_PI), 1.5))) * (((1.0 + (0.5 / (x * x))) / fabs(x)) + (((1.0 + pow(x, -5.0)) + -1.0) * (0.75 + (1.875 / (x * x)))));
}
public static double code(double x) {
return (Math.exp((x * x)) / Math.cbrt(Math.pow(Math.PI, 1.5))) * (((1.0 + (0.5 / (x * x))) / Math.abs(x)) + (((1.0 + Math.pow(x, -5.0)) + -1.0) * (0.75 + (1.875 / (x * x)))));
}
function code(x) return Float64(Float64(exp(Float64(x * x)) / cbrt((pi ^ 1.5))) * Float64(Float64(Float64(1.0 + Float64(0.5 / Float64(x * x))) / abs(x)) + Float64(Float64(Float64(1.0 + (x ^ -5.0)) + -1.0) * Float64(0.75 + Float64(1.875 / Float64(x * x)))))) end
code[x_] := N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Power[N[Power[Pi, 1.5], $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(1.0 + N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision] + N[(N[(N[(1.0 + N[Power[x, -5.0], $MachinePrecision]), $MachinePrecision] + -1.0), $MachinePrecision] * N[(0.75 + N[(1.875 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{e^{x \cdot x}}{\sqrt[3]{{\pi}^{1.5}}} \cdot \left(\frac{1 + \frac{0.5}{x \cdot x}}{\left|x\right|} + \left(\left(1 + {x}^{-5}\right) + -1\right) \cdot \left(0.75 + \frac{1.875}{x \cdot x}\right)\right)
\end{array}
Initial program 99.9%
Simplified99.9%
add-log-exp99.9%
inv-pow99.9%
pow-pow99.9%
add-sqr-sqrt99.9%
fabs-sqr99.9%
add-sqr-sqrt99.9%
metadata-eval99.9%
Applied egg-rr99.9%
add-log-exp99.9%
expm1-log1p-u99.9%
expm1-def100.0%
log1p-udef100.0%
add-exp-log100.0%
+-commutative100.0%
Applied egg-rr100.0%
add-cbrt-cube100.0%
pow1/3100.0%
add-sqr-sqrt100.0%
pow1100.0%
pow1/2100.0%
pow-prod-up100.0%
metadata-eval100.0%
Applied egg-rr100.0%
unpow1/3100.0%
Simplified100.0%
Final simplification100.0%
(FPCore (x) :precision binary64 (* (+ (/ (+ 1.0 (/ 0.5 (* x x))) (fabs x)) (* (+ (+ 1.0 (pow x -5.0)) -1.0) (+ 0.75 (/ 1.875 (* x x))))) (/ (exp (* x x)) (sqrt PI))))
double code(double x) {
return (((1.0 + (0.5 / (x * x))) / fabs(x)) + (((1.0 + pow(x, -5.0)) + -1.0) * (0.75 + (1.875 / (x * x))))) * (exp((x * x)) / sqrt(((double) M_PI)));
}
public static double code(double x) {
return (((1.0 + (0.5 / (x * x))) / Math.abs(x)) + (((1.0 + Math.pow(x, -5.0)) + -1.0) * (0.75 + (1.875 / (x * x))))) * (Math.exp((x * x)) / Math.sqrt(Math.PI));
}
def code(x): return (((1.0 + (0.5 / (x * x))) / math.fabs(x)) + (((1.0 + math.pow(x, -5.0)) + -1.0) * (0.75 + (1.875 / (x * x))))) * (math.exp((x * x)) / math.sqrt(math.pi))
function code(x) return Float64(Float64(Float64(Float64(1.0 + Float64(0.5 / Float64(x * x))) / abs(x)) + Float64(Float64(Float64(1.0 + (x ^ -5.0)) + -1.0) * Float64(0.75 + Float64(1.875 / Float64(x * x))))) * Float64(exp(Float64(x * x)) / sqrt(pi))) end
function tmp = code(x) tmp = (((1.0 + (0.5 / (x * x))) / abs(x)) + (((1.0 + (x ^ -5.0)) + -1.0) * (0.75 + (1.875 / (x * x))))) * (exp((x * x)) / sqrt(pi)); end
code[x_] := N[(N[(N[(N[(1.0 + N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision] + N[(N[(N[(1.0 + N[Power[x, -5.0], $MachinePrecision]), $MachinePrecision] + -1.0), $MachinePrecision] * N[(0.75 + N[(1.875 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{1 + \frac{0.5}{x \cdot x}}{\left|x\right|} + \left(\left(1 + {x}^{-5}\right) + -1\right) \cdot \left(0.75 + \frac{1.875}{x \cdot x}\right)\right) \cdot \frac{e^{x \cdot x}}{\sqrt{\pi}}
\end{array}
Initial program 99.9%
Simplified99.9%
add-log-exp99.9%
inv-pow99.9%
pow-pow99.9%
add-sqr-sqrt99.9%
fabs-sqr99.9%
add-sqr-sqrt99.9%
metadata-eval99.9%
Applied egg-rr99.9%
add-log-exp99.9%
expm1-log1p-u99.9%
expm1-def100.0%
log1p-udef100.0%
add-exp-log100.0%
+-commutative100.0%
Applied egg-rr100.0%
Final simplification100.0%
(FPCore (x) :precision binary64 (* (/ (exp (* x x)) (sqrt PI)) (+ (/ (+ 1.0 (/ 0.5 (* x x))) (fabs x)) (* (pow x -5.0) (+ 0.75 (/ 1.875 (* x x)))))))
double code(double x) {
return (exp((x * x)) / sqrt(((double) M_PI))) * (((1.0 + (0.5 / (x * x))) / fabs(x)) + (pow(x, -5.0) * (0.75 + (1.875 / (x * x)))));
}
public static double code(double x) {
return (Math.exp((x * x)) / Math.sqrt(Math.PI)) * (((1.0 + (0.5 / (x * x))) / Math.abs(x)) + (Math.pow(x, -5.0) * (0.75 + (1.875 / (x * x)))));
}
def code(x): return (math.exp((x * x)) / math.sqrt(math.pi)) * (((1.0 + (0.5 / (x * x))) / math.fabs(x)) + (math.pow(x, -5.0) * (0.75 + (1.875 / (x * x)))))
function code(x) return Float64(Float64(exp(Float64(x * x)) / sqrt(pi)) * Float64(Float64(Float64(1.0 + Float64(0.5 / Float64(x * x))) / abs(x)) + Float64((x ^ -5.0) * Float64(0.75 + Float64(1.875 / Float64(x * x)))))) end
function tmp = code(x) tmp = (exp((x * x)) / sqrt(pi)) * (((1.0 + (0.5 / (x * x))) / abs(x)) + ((x ^ -5.0) * (0.75 + (1.875 / (x * x))))); end
code[x_] := N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(1.0 + N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision] + N[(N[Power[x, -5.0], $MachinePrecision] * N[(0.75 + N[(1.875 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{e^{x \cdot x}}{\sqrt{\pi}} \cdot \left(\frac{1 + \frac{0.5}{x \cdot x}}{\left|x\right|} + {x}^{-5} \cdot \left(0.75 + \frac{1.875}{x \cdot x}\right)\right)
\end{array}
Initial program 99.9%
Simplified99.9%
expm1-log1p-u99.9%
expm1-udef100.0%
inv-pow100.0%
pow-pow100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
metadata-eval100.0%
Applied egg-rr100.0%
expm1-def99.9%
expm1-log1p99.9%
Simplified99.9%
Final simplification99.9%
(FPCore (x) :precision binary64 (* (/ (exp (* x x)) (* x (sqrt PI))) (+ (/ (+ 0.5 (/ 0.75 (* x x))) (* x x)) (+ 1.0 (/ 1.875 (pow x 6.0))))))
double code(double x) {
return (exp((x * x)) / (x * sqrt(((double) M_PI)))) * (((0.5 + (0.75 / (x * x))) / (x * x)) + (1.0 + (1.875 / pow(x, 6.0))));
}
public static double code(double x) {
return (Math.exp((x * x)) / (x * Math.sqrt(Math.PI))) * (((0.5 + (0.75 / (x * x))) / (x * x)) + (1.0 + (1.875 / Math.pow(x, 6.0))));
}
def code(x): return (math.exp((x * x)) / (x * math.sqrt(math.pi))) * (((0.5 + (0.75 / (x * x))) / (x * x)) + (1.0 + (1.875 / math.pow(x, 6.0))))
function code(x) return Float64(Float64(exp(Float64(x * x)) / Float64(x * sqrt(pi))) * Float64(Float64(Float64(0.5 + Float64(0.75 / Float64(x * x))) / Float64(x * x)) + Float64(1.0 + Float64(1.875 / (x ^ 6.0))))) end
function tmp = code(x) tmp = (exp((x * x)) / (x * sqrt(pi))) * (((0.5 + (0.75 / (x * x))) / (x * x)) + (1.0 + (1.875 / (x ^ 6.0)))); end
code[x_] := N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[(x * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(0.5 + N[(0.75 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x * x), $MachinePrecision]), $MachinePrecision] + N[(1.0 + N[(1.875 / N[Power[x, 6.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{e^{x \cdot x}}{x \cdot \sqrt{\pi}} \cdot \left(\frac{0.5 + \frac{0.75}{x \cdot x}}{x \cdot x} + \left(1 + \frac{1.875}{{x}^{6}}\right)\right)
\end{array}
Initial program 99.9%
Simplified99.9%
expm1-log1p-u99.9%
expm1-udef99.9%
*-commutative99.9%
add-sqr-sqrt99.9%
fabs-sqr99.9%
add-sqr-sqrt99.9%
Applied egg-rr99.9%
expm1-def99.9%
expm1-log1p99.9%
*-commutative99.9%
Simplified99.9%
Final simplification99.9%
herbie shell --seed 2023199
(FPCore (x)
:name "Jmat.Real.erfi, branch x greater than or equal to 5"
:precision binary64
:pre (>= x 0.5)
(* (* (/ 1.0 (sqrt PI)) (exp (* (fabs x) (fabs x)))) (+ (+ (+ (/ 1.0 (fabs x)) (* (/ 1.0 2.0) (* (* (/ 1.0 (fabs x)) (/ 1.0 (fabs x))) (/ 1.0 (fabs x))))) (* (/ 3.0 4.0) (* (* (* (* (/ 1.0 (fabs x)) (/ 1.0 (fabs x))) (/ 1.0 (fabs x))) (/ 1.0 (fabs x))) (/ 1.0 (fabs x))))) (* (/ 15.0 8.0) (* (* (* (* (* (* (/ 1.0 (fabs x)) (/ 1.0 (fabs x))) (/ 1.0 (fabs x))) (/ 1.0 (fabs x))) (/ 1.0 (fabs x))) (/ 1.0 (fabs x))) (/ 1.0 (fabs x)))))))