
(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 (* (/ (exp (* x x)) (cbrt (pow PI 1.5))) (fma 0.75 (pow x -5.0) (fma 1.875 (pow x -7.0) (/ (+ 1.0 (/ (/ 0.5 x) x)) x)))))
double code(double x) {
return (exp((x * x)) / cbrt(pow(((double) M_PI), 1.5))) * fma(0.75, pow(x, -5.0), fma(1.875, pow(x, -7.0), ((1.0 + ((0.5 / x) / x)) / x)));
}
function code(x) return Float64(Float64(exp(Float64(x * x)) / cbrt((pi ^ 1.5))) * fma(0.75, (x ^ -5.0), fma(1.875, (x ^ -7.0), Float64(Float64(1.0 + Float64(Float64(0.5 / x) / 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[(0.75 * N[Power[x, -5.0], $MachinePrecision] + N[(1.875 * N[Power[x, -7.0], $MachinePrecision] + N[(N[(1.0 + N[(N[(0.5 / x), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{e^{x \cdot x}}{\sqrt[3]{{\pi}^{1.5}}} \cdot \mathsf{fma}\left(0.75, {x}^{-5}, \mathsf{fma}\left(1.875, {x}^{-7}, \frac{1 + \frac{\frac{0.5}{x}}{x}}{x}\right)\right)
\end{array}
Initial program 100.0%
Simplified100.0%
add-log-exp100.0%
*-un-lft-identity100.0%
log-prod100.0%
metadata-eval100.0%
add-log-exp100.0%
inv-pow100.0%
pow-pow100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
metadata-eval100.0%
Applied egg-rr100.0%
+-lft-identity100.0%
Simplified100.0%
add-log-exp100.0%
*-un-lft-identity100.0%
log-prod100.0%
metadata-eval100.0%
add-log-exp100.0%
inv-pow100.0%
pow-pow100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
metadata-eval100.0%
Applied egg-rr100.0%
+-lft-identity100.0%
Simplified100.0%
pow1/2100.0%
metadata-eval100.0%
metadata-eval100.0%
pow-pow100.0%
metadata-eval100.0%
Applied egg-rr100.0%
unpow1/3100.0%
Simplified100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
add-sqr-sqrt100.0%
associate-/l*100.0%
add-sqr-sqrt100.0%
hypot-1-def100.0%
sqrt-div100.0%
sqrt-prod100.0%
add-sqr-sqrt100.0%
add-sqr-sqrt100.0%
hypot-1-def100.0%
sqrt-div100.0%
sqrt-prod100.0%
add-sqr-sqrt100.0%
Applied egg-rr100.0%
associate-*r/100.0%
hypot-undefine100.0%
hypot-undefine100.0%
rem-square-sqrt100.0%
metadata-eval100.0%
associate-*r/100.0%
associate-*l/100.0%
rem-square-sqrt100.0%
associate-/r*100.0%
unpow2100.0%
Simplified100.0%
pow2100.0%
associate-/r*100.0%
div-inv100.0%
Applied egg-rr100.0%
un-div-inv100.0%
Applied egg-rr100.0%
(FPCore (x) :precision binary64 (* (fma 0.75 (pow x -5.0) (fma 1.875 (pow x -7.0) (/ (+ 1.0 (/ (/ 0.5 x) x)) x))) (/ (exp (* x x)) (/ 1.0 (pow PI -0.5)))))
double code(double x) {
return fma(0.75, pow(x, -5.0), fma(1.875, pow(x, -7.0), ((1.0 + ((0.5 / x) / x)) / x))) * (exp((x * x)) / (1.0 / pow(((double) M_PI), -0.5)));
}
function code(x) return Float64(fma(0.75, (x ^ -5.0), fma(1.875, (x ^ -7.0), Float64(Float64(1.0 + Float64(Float64(0.5 / x) / x)) / x))) * Float64(exp(Float64(x * x)) / Float64(1.0 / (pi ^ -0.5)))) end
code[x_] := N[(N[(0.75 * N[Power[x, -5.0], $MachinePrecision] + N[(1.875 * N[Power[x, -7.0], $MachinePrecision] + N[(N[(1.0 + N[(N[(0.5 / x), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[(1.0 / N[Power[Pi, -0.5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\mathsf{fma}\left(0.75, {x}^{-5}, \mathsf{fma}\left(1.875, {x}^{-7}, \frac{1 + \frac{\frac{0.5}{x}}{x}}{x}\right)\right) \cdot \frac{e^{x \cdot x}}{\frac{1}{{\pi}^{-0.5}}}
\end{array}
Initial program 100.0%
Simplified100.0%
add-log-exp100.0%
*-un-lft-identity100.0%
log-prod100.0%
metadata-eval100.0%
add-log-exp100.0%
inv-pow100.0%
pow-pow100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
metadata-eval100.0%
Applied egg-rr100.0%
+-lft-identity100.0%
Simplified100.0%
add-log-exp100.0%
*-un-lft-identity100.0%
log-prod100.0%
metadata-eval100.0%
add-log-exp100.0%
inv-pow100.0%
pow-pow100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
metadata-eval100.0%
Applied egg-rr100.0%
+-lft-identity100.0%
Simplified100.0%
pow1/2100.0%
metadata-eval100.0%
metadata-eval100.0%
pow-pow100.0%
metadata-eval100.0%
Applied egg-rr100.0%
unpow1/3100.0%
Simplified100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
add-sqr-sqrt100.0%
associate-/l*100.0%
add-sqr-sqrt100.0%
hypot-1-def100.0%
sqrt-div100.0%
sqrt-prod100.0%
add-sqr-sqrt100.0%
add-sqr-sqrt100.0%
hypot-1-def100.0%
sqrt-div100.0%
sqrt-prod100.0%
add-sqr-sqrt100.0%
Applied egg-rr100.0%
associate-*r/100.0%
hypot-undefine100.0%
hypot-undefine100.0%
rem-square-sqrt100.0%
metadata-eval100.0%
associate-*r/100.0%
associate-*l/100.0%
rem-square-sqrt100.0%
associate-/r*100.0%
unpow2100.0%
Simplified100.0%
pow2100.0%
associate-/r*100.0%
div-inv100.0%
Applied egg-rr100.0%
un-div-inv100.0%
Applied egg-rr100.0%
pow1/3100.0%
pow-pow100.0%
metadata-eval100.0%
pow1/2100.0%
/-rgt-identity100.0%
clear-num100.0%
pow1/2100.0%
pow-flip100.0%
metadata-eval100.0%
Applied egg-rr100.0%
Final simplification100.0%
(FPCore (x) :precision binary64 (* (fma 0.75 (pow x -5.0) (fma 1.875 (pow x -7.0) (/ (+ 1.0 (/ (/ 0.5 x) x)) x))) (/ (exp (* x x)) (sqrt PI))))
double code(double x) {
return fma(0.75, pow(x, -5.0), fma(1.875, pow(x, -7.0), ((1.0 + ((0.5 / x) / x)) / x))) * (exp((x * x)) / sqrt(((double) M_PI)));
}
function code(x) return Float64(fma(0.75, (x ^ -5.0), fma(1.875, (x ^ -7.0), Float64(Float64(1.0 + Float64(Float64(0.5 / x) / x)) / x))) * Float64(exp(Float64(x * x)) / sqrt(pi))) end
code[x_] := N[(N[(0.75 * N[Power[x, -5.0], $MachinePrecision] + N[(1.875 * N[Power[x, -7.0], $MachinePrecision] + N[(N[(1.0 + N[(N[(0.5 / x), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\mathsf{fma}\left(0.75, {x}^{-5}, \mathsf{fma}\left(1.875, {x}^{-7}, \frac{1 + \frac{\frac{0.5}{x}}{x}}{x}\right)\right) \cdot \frac{e^{x \cdot x}}{\sqrt{\pi}}
\end{array}
Initial program 100.0%
Simplified100.0%
add-log-exp100.0%
*-un-lft-identity100.0%
log-prod100.0%
metadata-eval100.0%
add-log-exp100.0%
inv-pow100.0%
pow-pow100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
metadata-eval100.0%
Applied egg-rr100.0%
+-lft-identity100.0%
Simplified100.0%
add-log-exp100.0%
*-un-lft-identity100.0%
log-prod100.0%
metadata-eval100.0%
add-log-exp100.0%
inv-pow100.0%
pow-pow100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
metadata-eval100.0%
Applied egg-rr100.0%
+-lft-identity100.0%
Simplified100.0%
pow1/2100.0%
metadata-eval100.0%
metadata-eval100.0%
pow-pow100.0%
metadata-eval100.0%
Applied egg-rr100.0%
unpow1/3100.0%
Simplified100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
add-sqr-sqrt100.0%
associate-/l*100.0%
add-sqr-sqrt100.0%
hypot-1-def100.0%
sqrt-div100.0%
sqrt-prod100.0%
add-sqr-sqrt100.0%
add-sqr-sqrt100.0%
hypot-1-def100.0%
sqrt-div100.0%
sqrt-prod100.0%
add-sqr-sqrt100.0%
Applied egg-rr100.0%
associate-*r/100.0%
hypot-undefine100.0%
hypot-undefine100.0%
rem-square-sqrt100.0%
metadata-eval100.0%
associate-*r/100.0%
associate-*l/100.0%
rem-square-sqrt100.0%
associate-/r*100.0%
unpow2100.0%
Simplified100.0%
pow2100.0%
associate-/r*100.0%
div-inv100.0%
Applied egg-rr100.0%
un-div-inv100.0%
Applied egg-rr100.0%
pow1/3100.0%
pow-pow100.0%
metadata-eval100.0%
pow1/2100.0%
expm1-log1p-u100.0%
expm1-undefine100.0%
Applied egg-rr100.0%
sub-neg100.0%
metadata-eval100.0%
+-commutative100.0%
log1p-undefine100.0%
rem-exp-log100.0%
associate-+r+100.0%
metadata-eval100.0%
metadata-eval100.0%
associate--r-100.0%
neg-sub0100.0%
neg-sub0100.0%
remove-double-neg100.0%
Simplified100.0%
Final simplification100.0%
(FPCore (x) :precision binary64 (* (/ (exp (* x x)) (sqrt PI)) (fma 0.75 (pow x -5.0) (+ (/ 1.0 x) (* 1.875 (pow x -7.0))))))
double code(double x) {
return (exp((x * x)) / sqrt(((double) M_PI))) * fma(0.75, pow(x, -5.0), ((1.0 / x) + (1.875 * pow(x, -7.0))));
}
function code(x) return Float64(Float64(exp(Float64(x * x)) / sqrt(pi)) * fma(0.75, (x ^ -5.0), Float64(Float64(1.0 / x) + Float64(1.875 * (x ^ -7.0))))) end
code[x_] := N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(0.75 * N[Power[x, -5.0], $MachinePrecision] + N[(N[(1.0 / x), $MachinePrecision] + N[(1.875 * N[Power[x, -7.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{e^{x \cdot x}}{\sqrt{\pi}} \cdot \mathsf{fma}\left(0.75, {x}^{-5}, \frac{1}{x} + 1.875 \cdot {x}^{-7}\right)
\end{array}
Initial program 100.0%
Simplified100.0%
add-log-exp100.0%
*-un-lft-identity100.0%
log-prod100.0%
metadata-eval100.0%
add-log-exp100.0%
inv-pow100.0%
pow-pow100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
metadata-eval100.0%
Applied egg-rr100.0%
+-lft-identity100.0%
Simplified100.0%
add-log-exp100.0%
*-un-lft-identity100.0%
log-prod100.0%
metadata-eval100.0%
add-log-exp100.0%
inv-pow100.0%
pow-pow100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
metadata-eval100.0%
Applied egg-rr100.0%
+-lft-identity100.0%
Simplified100.0%
Taylor expanded in x around inf 99.7%
fma-undefine99.7%
+-commutative99.7%
add-sqr-sqrt99.7%
fabs-sqr99.7%
add-sqr-sqrt99.7%
Applied egg-rr99.7%
(FPCore (x) :precision binary64 (* (/ (exp (* x x)) (sqrt PI)) (fma 0.75 (pow x -5.0) (/ 1.0 x))))
double code(double x) {
return (exp((x * x)) / sqrt(((double) M_PI))) * fma(0.75, pow(x, -5.0), (1.0 / x));
}
function code(x) return Float64(Float64(exp(Float64(x * x)) / sqrt(pi)) * fma(0.75, (x ^ -5.0), Float64(1.0 / x))) end
code[x_] := N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(0.75 * N[Power[x, -5.0], $MachinePrecision] + N[(1.0 / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{e^{x \cdot x}}{\sqrt{\pi}} \cdot \mathsf{fma}\left(0.75, {x}^{-5}, \frac{1}{x}\right)
\end{array}
Initial program 100.0%
Simplified100.0%
add-log-exp100.0%
*-un-lft-identity100.0%
log-prod100.0%
metadata-eval100.0%
add-log-exp100.0%
inv-pow100.0%
pow-pow100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
metadata-eval100.0%
Applied egg-rr100.0%
+-lft-identity100.0%
Simplified100.0%
add-log-exp100.0%
*-un-lft-identity100.0%
log-prod100.0%
metadata-eval100.0%
add-log-exp100.0%
inv-pow100.0%
pow-pow100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
metadata-eval100.0%
Applied egg-rr100.0%
+-lft-identity100.0%
Simplified100.0%
Taylor expanded in x around inf 99.7%
fma-undefine99.7%
+-commutative99.7%
add-sqr-sqrt99.7%
fabs-sqr99.7%
add-sqr-sqrt99.7%
Applied egg-rr99.7%
Taylor expanded in x around inf 99.7%
(FPCore (x) :precision binary64 (log (exp (/ x (sqrt PI)))))
double code(double x) {
return log(exp((x / sqrt(((double) M_PI)))));
}
public static double code(double x) {
return Math.log(Math.exp((x / Math.sqrt(Math.PI))));
}
def code(x): return math.log(math.exp((x / math.sqrt(math.pi))))
function code(x) return log(exp(Float64(x / sqrt(pi)))) end
function tmp = code(x) tmp = log(exp((x / sqrt(pi)))); end
code[x_] := N[Log[N[Exp[N[(x / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\log \left(e^{\frac{x}{\sqrt{\pi}}}\right)
\end{array}
Initial program 100.0%
Simplified100.0%
add-log-exp100.0%
*-un-lft-identity100.0%
log-prod100.0%
metadata-eval100.0%
add-log-exp100.0%
inv-pow100.0%
pow-pow100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
metadata-eval100.0%
Applied egg-rr100.0%
+-lft-identity100.0%
Simplified100.0%
add-log-exp100.0%
*-un-lft-identity100.0%
log-prod100.0%
metadata-eval100.0%
add-log-exp100.0%
inv-pow100.0%
pow-pow100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
metadata-eval100.0%
Applied egg-rr100.0%
+-lft-identity100.0%
Simplified100.0%
Taylor expanded in x around 0 2.3%
Taylor expanded in x around inf 2.3%
associate-*r/2.3%
*-rgt-identity2.3%
Simplified2.3%
frac-2neg2.3%
div-inv2.3%
sqrt-div2.3%
metadata-eval2.3%
distribute-neg-frac2.3%
metadata-eval2.3%
add-sqr-sqrt2.3%
fabs-sqr2.3%
add-sqr-sqrt2.3%
Applied egg-rr2.3%
distribute-frac-neg22.3%
associate-*l/2.3%
mul-1-neg2.3%
remove-double-neg2.3%
Simplified2.3%
add-sqr-sqrt2.3%
associate-*r/2.3%
sqrt-div2.3%
*-commutative2.3%
sqrt-div2.3%
metadata-eval2.3%
div-inv2.3%
add-log-exp1.7%
*-un-lft-identity1.7%
associate-*l/1.7%
metadata-eval1.7%
sqrt-div1.7%
sqrt-div1.7%
associate-*r/1.7%
add-sqr-sqrt1.7%
Applied egg-rr98.9%
(FPCore (x) :precision binary64 (sqrt (/ (pow x 2.0) PI)))
double code(double x) {
return sqrt((pow(x, 2.0) / ((double) M_PI)));
}
public static double code(double x) {
return Math.sqrt((Math.pow(x, 2.0) / Math.PI));
}
def code(x): return math.sqrt((math.pow(x, 2.0) / math.pi))
function code(x) return sqrt(Float64((x ^ 2.0) / pi)) end
function tmp = code(x) tmp = sqrt(((x ^ 2.0) / pi)); end
code[x_] := N[Sqrt[N[(N[Power[x, 2.0], $MachinePrecision] / Pi), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\sqrt{\frac{{x}^{2}}{\pi}}
\end{array}
Initial program 100.0%
Simplified100.0%
add-log-exp100.0%
*-un-lft-identity100.0%
log-prod100.0%
metadata-eval100.0%
add-log-exp100.0%
inv-pow100.0%
pow-pow100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
metadata-eval100.0%
Applied egg-rr100.0%
+-lft-identity100.0%
Simplified100.0%
add-log-exp100.0%
*-un-lft-identity100.0%
log-prod100.0%
metadata-eval100.0%
add-log-exp100.0%
inv-pow100.0%
pow-pow100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
metadata-eval100.0%
Applied egg-rr100.0%
+-lft-identity100.0%
Simplified100.0%
Taylor expanded in x around 0 2.3%
Taylor expanded in x around inf 2.3%
associate-*r/2.3%
*-rgt-identity2.3%
Simplified2.3%
frac-2neg2.3%
div-inv2.3%
sqrt-div2.3%
metadata-eval2.3%
distribute-neg-frac2.3%
metadata-eval2.3%
add-sqr-sqrt2.3%
fabs-sqr2.3%
add-sqr-sqrt2.3%
Applied egg-rr2.3%
distribute-frac-neg22.3%
associate-*l/2.3%
mul-1-neg2.3%
remove-double-neg2.3%
Simplified2.3%
add-sqr-sqrt2.3%
sqrt-unprod2.2%
frac-times2.2%
pow22.2%
add-exp-log2.2%
neg-log2.2%
add-sqr-sqrt0.0%
sqrt-unprod50.5%
sqr-neg50.5%
sqrt-unprod50.5%
add-sqr-sqrt50.5%
add-exp-log50.5%
add-sqr-sqrt50.5%
Applied egg-rr50.5%
(FPCore (x) :precision binary64 (/ x (sqrt PI)))
double code(double x) {
return x / sqrt(((double) M_PI));
}
public static double code(double x) {
return x / Math.sqrt(Math.PI);
}
def code(x): return x / math.sqrt(math.pi)
function code(x) return Float64(x / sqrt(pi)) end
function tmp = code(x) tmp = x / sqrt(pi); end
code[x_] := N[(x / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{x}{\sqrt{\pi}}
\end{array}
Initial program 100.0%
Simplified100.0%
add-log-exp100.0%
*-un-lft-identity100.0%
log-prod100.0%
metadata-eval100.0%
add-log-exp100.0%
inv-pow100.0%
pow-pow100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
metadata-eval100.0%
Applied egg-rr100.0%
+-lft-identity100.0%
Simplified100.0%
add-log-exp100.0%
*-un-lft-identity100.0%
log-prod100.0%
metadata-eval100.0%
add-log-exp100.0%
inv-pow100.0%
pow-pow100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
metadata-eval100.0%
Applied egg-rr100.0%
+-lft-identity100.0%
Simplified100.0%
Taylor expanded in x around 0 2.3%
Taylor expanded in x around inf 2.3%
associate-*r/2.3%
*-rgt-identity2.3%
Simplified2.3%
frac-2neg2.3%
div-inv2.3%
sqrt-div2.3%
metadata-eval2.3%
distribute-neg-frac2.3%
metadata-eval2.3%
add-sqr-sqrt2.3%
fabs-sqr2.3%
add-sqr-sqrt2.3%
Applied egg-rr2.3%
distribute-frac-neg22.3%
associate-*l/2.3%
mul-1-neg2.3%
remove-double-neg2.3%
Simplified2.3%
div-inv2.3%
pow1/22.3%
pow-flip2.3%
metadata-eval2.3%
expm1-log1p-u2.3%
add-exp-log2.3%
neg-log2.3%
add-exp-log2.3%
exp-sum2.3%
expm1-undefine1.7%
Applied egg-rr5.4%
log1p-undefine5.4%
rem-exp-log5.4%
associate-+r-5.4%
+-commutative5.4%
associate-+l-5.4%
metadata-eval5.4%
--rgt-identity5.4%
Simplified5.4%
herbie shell --seed 2024107
(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)))))))