
(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
(*
(/ (pow (exp x) x) (pow (pow PI 0.25) 2.0))
(fma
(+ 1.0 (log (+ 1.0 (expm1 (/ (/ 0.5 x) x)))))
(/ 1.0 (fabs x))
(log
(+ 1.0 (expm1 (/ (fma 1.875 (pow x -2.0) 0.75) (/ x (pow x -4.0)))))))))
double code(double x) {
return (pow(exp(x), x) / pow(pow(((double) M_PI), 0.25), 2.0)) * fma((1.0 + log((1.0 + expm1(((0.5 / x) / x))))), (1.0 / fabs(x)), log((1.0 + expm1((fma(1.875, pow(x, -2.0), 0.75) / (x / pow(x, -4.0)))))));
}
function code(x) return Float64(Float64((exp(x) ^ x) / ((pi ^ 0.25) ^ 2.0)) * fma(Float64(1.0 + log(Float64(1.0 + expm1(Float64(Float64(0.5 / x) / x))))), Float64(1.0 / abs(x)), log(Float64(1.0 + expm1(Float64(fma(1.875, (x ^ -2.0), 0.75) / Float64(x / (x ^ -4.0)))))))) end
code[x_] := N[(N[(N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision] / N[Power[N[Power[Pi, 0.25], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 + N[Log[N[(1.0 + N[(Exp[N[(N[(0.5 / x), $MachinePrecision] / x), $MachinePrecision]] - 1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision] + N[Log[N[(1.0 + N[(Exp[N[(N[(1.875 * N[Power[x, -2.0], $MachinePrecision] + 0.75), $MachinePrecision] / N[(x / N[Power[x, -4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]] - 1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{{\left(e^{x}\right)}^{x}}{{\left({\pi}^{0.25}\right)}^{2}} \cdot \mathsf{fma}\left(1 + \log \left(1 + \mathsf{expm1}\left(\frac{\frac{0.5}{x}}{x}\right)\right), \frac{1}{\left|x\right|}, \log \left(1 + \mathsf{expm1}\left(\frac{\mathsf{fma}\left(1.875, {x}^{-2}, 0.75\right)}{\frac{x}{{x}^{-4}}}\right)\right)\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%
log1p-expm1-u100.0%
log1p-udef100.0%
*-commutative100.0%
clear-num100.0%
un-div-inv100.0%
+-commutative100.0%
div-inv100.0%
fma-def100.0%
pow2100.0%
pow-flip100.0%
metadata-eval100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
Applied egg-rr100.0%
add-sqr-sqrt100.0%
pow2100.0%
pow1/2100.0%
sqrt-pow1100.0%
metadata-eval100.0%
Applied egg-rr100.0%
log1p-expm1-u100.0%
log1p-udef100.0%
associate-/r*100.0%
Applied egg-rr100.0%
Final simplification100.0%
(FPCore (x)
:precision binary64
(*
(/ (pow (exp x) x) (pow (pow PI 0.25) 2.0))
(fma
(+ 1.0 (/ 0.5 (* x x)))
(/ 1.0 (fabs x))
(log
(+ 1.0 (expm1 (/ (fma 1.875 (pow x -2.0) 0.75) (/ x (pow x -4.0)))))))))
double code(double x) {
return (pow(exp(x), x) / pow(pow(((double) M_PI), 0.25), 2.0)) * fma((1.0 + (0.5 / (x * x))), (1.0 / fabs(x)), log((1.0 + expm1((fma(1.875, pow(x, -2.0), 0.75) / (x / pow(x, -4.0)))))));
}
function code(x) return Float64(Float64((exp(x) ^ x) / ((pi ^ 0.25) ^ 2.0)) * fma(Float64(1.0 + Float64(0.5 / Float64(x * x))), Float64(1.0 / abs(x)), log(Float64(1.0 + expm1(Float64(fma(1.875, (x ^ -2.0), 0.75) / Float64(x / (x ^ -4.0)))))))) end
code[x_] := N[(N[(N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision] / N[Power[N[Power[Pi, 0.25], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 + N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision] + N[Log[N[(1.0 + N[(Exp[N[(N[(1.875 * N[Power[x, -2.0], $MachinePrecision] + 0.75), $MachinePrecision] / N[(x / N[Power[x, -4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]] - 1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{{\left(e^{x}\right)}^{x}}{{\left({\pi}^{0.25}\right)}^{2}} \cdot \mathsf{fma}\left(1 + \frac{0.5}{x \cdot x}, \frac{1}{\left|x\right|}, \log \left(1 + \mathsf{expm1}\left(\frac{\mathsf{fma}\left(1.875, {x}^{-2}, 0.75\right)}{\frac{x}{{x}^{-4}}}\right)\right)\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%
log1p-expm1-u100.0%
log1p-udef100.0%
*-commutative100.0%
clear-num100.0%
un-div-inv100.0%
+-commutative100.0%
div-inv100.0%
fma-def100.0%
pow2100.0%
pow-flip100.0%
metadata-eval100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
Applied egg-rr100.0%
add-sqr-sqrt100.0%
pow2100.0%
pow1/2100.0%
sqrt-pow1100.0%
metadata-eval100.0%
Applied egg-rr100.0%
Final simplification100.0%
(FPCore (x) :precision binary64 (* (/ (pow (exp x) x) (sqrt PI)) (fma (+ 1.0 (/ 0.5 (* x x))) (/ 1.0 (fabs x)) (log (+ 1.0 (expm1 (* (fma 1.875 (pow x -2.0) 0.75) (pow x -5.0))))))))
double code(double x) {
return (pow(exp(x), x) / sqrt(((double) M_PI))) * fma((1.0 + (0.5 / (x * x))), (1.0 / fabs(x)), log((1.0 + expm1((fma(1.875, pow(x, -2.0), 0.75) * pow(x, -5.0))))));
}
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)), log(Float64(1.0 + expm1(Float64(fma(1.875, (x ^ -2.0), 0.75) * (x ^ -5.0))))))) 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[Log[N[(1.0 + N[(Exp[N[(N[(1.875 * N[Power[x, -2.0], $MachinePrecision] + 0.75), $MachinePrecision] * N[Power[x, -5.0], $MachinePrecision]), $MachinePrecision]] - 1), $MachinePrecision]), $MachinePrecision]], $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|}, \log \left(1 + \mathsf{expm1}\left(\mathsf{fma}\left(1.875, {x}^{-2}, 0.75\right) \cdot {x}^{-5}\right)\right)\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%
log1p-expm1-u100.0%
log1p-udef100.0%
*-commutative100.0%
clear-num100.0%
un-div-inv100.0%
+-commutative100.0%
div-inv100.0%
fma-def100.0%
pow2100.0%
pow-flip100.0%
metadata-eval100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
Applied egg-rr100.0%
expm1-log1p-u100.0%
expm1-udef100.0%
log1p-def100.0%
log1p-expm1-u100.0%
div-inv100.0%
clear-num100.0%
pow1100.0%
pow-div100.0%
metadata-eval100.0%
Applied egg-rr100.0%
expm1-def100.0%
expm1-log1p-u100.0%
log1p-expm1-u100.0%
log1p-udef100.0%
Applied egg-rr100.0%
Final simplification100.0%
(FPCore (x) :precision binary64 (* (/ (pow (exp x) x) (sqrt PI)) (fma (+ 1.0 (/ 0.5 (* x x))) (/ 1.0 (fabs x)) (+ (/ 0.75 (pow x 5.0)) (/ 1.875 (pow x 7.0))))))
double code(double x) {
return (pow(exp(x), x) / sqrt(((double) M_PI))) * fma((1.0 + (0.5 / (x * x))), (1.0 / fabs(x)), ((0.75 / pow(x, 5.0)) + (1.875 / pow(x, 7.0))));
}
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(Float64(0.75 / (x ^ 5.0)) + Float64(1.875 / (x ^ 7.0))))) 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[(0.75 / N[Power[x, 5.0], $MachinePrecision]), $MachinePrecision] + N[(1.875 / N[Power[x, 7.0], $MachinePrecision]), $MachinePrecision]), $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|}, \frac{0.75}{{x}^{5}} + \frac{1.875}{{x}^{7}}\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%
log1p-expm1-u100.0%
log1p-udef100.0%
*-commutative100.0%
clear-num100.0%
un-div-inv100.0%
+-commutative100.0%
div-inv100.0%
fma-def100.0%
pow2100.0%
pow-flip100.0%
metadata-eval100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
Applied egg-rr100.0%
Taylor expanded in x around inf 100.0%
associate-*r/100.0%
metadata-eval100.0%
associate-*r/100.0%
metadata-eval100.0%
Simplified100.0%
Final simplification100.0%
(FPCore (x) :precision binary64 (* (/ (exp (* x x)) (expm1 (log1p (* x (sqrt PI))))) (+ 1.0 (+ (/ 1.875 (pow (fabs x) 6.0)) (/ (+ 0.5 (/ 0.75 (* x x))) (* x x))))))
double code(double x) {
return (exp((x * x)) / expm1(log1p((x * sqrt(((double) M_PI)))))) * (1.0 + ((1.875 / pow(fabs(x), 6.0)) + ((0.5 + (0.75 / (x * x))) / (x * x))));
}
public static double code(double x) {
return (Math.exp((x * x)) / Math.expm1(Math.log1p((x * Math.sqrt(Math.PI))))) * (1.0 + ((1.875 / Math.pow(Math.abs(x), 6.0)) + ((0.5 + (0.75 / (x * x))) / (x * x))));
}
def code(x): return (math.exp((x * x)) / math.expm1(math.log1p((x * math.sqrt(math.pi))))) * (1.0 + ((1.875 / math.pow(math.fabs(x), 6.0)) + ((0.5 + (0.75 / (x * x))) / (x * x))))
function code(x) return Float64(Float64(exp(Float64(x * x)) / expm1(log1p(Float64(x * sqrt(pi))))) * Float64(1.0 + Float64(Float64(1.875 / (abs(x) ^ 6.0)) + Float64(Float64(0.5 + Float64(0.75 / Float64(x * x))) / Float64(x * x))))) end
code[x_] := N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[(Exp[N[Log[1 + N[(x * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]] - 1), $MachinePrecision]), $MachinePrecision] * N[(1.0 + N[(N[(1.875 / N[Power[N[Abs[x], $MachinePrecision], 6.0], $MachinePrecision]), $MachinePrecision] + N[(N[(0.5 + N[(0.75 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{e^{x \cdot x}}{\mathsf{expm1}\left(\mathsf{log1p}\left(x \cdot \sqrt{\pi}\right)\right)} \cdot \left(1 + \left(\frac{1.875}{{\left(\left|x\right|\right)}^{6}} + \frac{0.5 + \frac{0.75}{x \cdot x}}{x \cdot x}\right)\right)
\end{array}
Initial program 99.9%
Simplified99.9%
expm1-log1p-u99.9%
*-commutative99.9%
add-sqr-sqrt99.9%
fabs-sqr99.9%
add-sqr-sqrt99.9%
Applied egg-rr99.9%
Final simplification99.9%
(FPCore (x) :precision binary64 (* (/ (exp (* x x)) (* x (pow (cbrt (sqrt PI)) 3.0))) (+ (/ (+ 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 * pow(cbrt(sqrt(((double) M_PI))), 3.0))) * (((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.pow(Math.cbrt(Math.sqrt(Math.PI)), 3.0))) * (((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 * (cbrt(sqrt(pi)) ^ 3.0))) * Float64(Float64(Float64(0.5 + Float64(0.75 / Float64(x * x))) / Float64(x * x)) + Float64(1.0 + Float64(1.875 / (x ^ 6.0))))) end
code[x_] := N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[(x * N[Power[N[Power[N[Sqrt[Pi], $MachinePrecision], 1/3], $MachinePrecision], 3.0], $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 {\left(\sqrt[3]{\sqrt{\pi}}\right)}^{3}} \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%
add-cube-cbrt99.9%
pow399.9%
Applied egg-rr99.9%
Final simplification99.9%
(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-udef99.9%
inv-pow99.9%
pow-pow99.9%
add-sqr-sqrt99.9%
fabs-sqr99.9%
add-sqr-sqrt99.9%
metadata-eval99.9%
Applied egg-rr99.9%
expm1-def99.9%
expm1-log1p99.9%
Simplified99.9%
Final simplification99.9%
(FPCore (x) :precision binary64 (* (+ (/ (+ 0.5 (/ 0.75 (* x x))) (* x x)) (+ 1.0 (/ 1.875 (pow x 6.0)))) (/ (exp (* x x)) (* x (sqrt PI)))))
double code(double x) {
return (((0.5 + (0.75 / (x * x))) / (x * x)) + (1.0 + (1.875 / pow(x, 6.0)))) * (exp((x * x)) / (x * sqrt(((double) M_PI))));
}
public static double code(double x) {
return (((0.5 + (0.75 / (x * x))) / (x * x)) + (1.0 + (1.875 / Math.pow(x, 6.0)))) * (Math.exp((x * x)) / (x * Math.sqrt(Math.PI)));
}
def code(x): return (((0.5 + (0.75 / (x * x))) / (x * x)) + (1.0 + (1.875 / math.pow(x, 6.0)))) * (math.exp((x * x)) / (x * math.sqrt(math.pi)))
function code(x) return Float64(Float64(Float64(Float64(0.5 + Float64(0.75 / Float64(x * x))) / Float64(x * x)) + Float64(1.0 + Float64(1.875 / (x ^ 6.0)))) * Float64(exp(Float64(x * x)) / Float64(x * sqrt(pi)))) end
function tmp = code(x) tmp = (((0.5 + (0.75 / (x * x))) / (x * x)) + (1.0 + (1.875 / (x ^ 6.0)))) * (exp((x * x)) / (x * sqrt(pi))); end
code[x_] := N[(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] * N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[(x * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{0.5 + \frac{0.75}{x \cdot x}}{x \cdot x} + \left(1 + \frac{1.875}{{x}^{6}}\right)\right) \cdot \frac{e^{x \cdot x}}{x \cdot \sqrt{\pi}}
\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 2023238
(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)))))))