
(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 14 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) (cbrt (pow PI 1.5))) (fma (+ 1.0 (/ 0.5 (* x x))) (/ 1.0 (fabs x)) (* (/ (log (exp (pow x -4.0))) (fabs x)) (+ 0.75 (/ 1.875 (* x x)))))))
double code(double x) {
return (pow(exp(x), x) / cbrt(pow(((double) M_PI), 1.5))) * fma((1.0 + (0.5 / (x * x))), (1.0 / fabs(x)), ((log(exp(pow(x, -4.0))) / fabs(x)) * (0.75 + (1.875 / (x * x)))));
}
function code(x) return Float64(Float64((exp(x) ^ x) / cbrt((pi ^ 1.5))) * fma(Float64(1.0 + Float64(0.5 / Float64(x * x))), Float64(1.0 / abs(x)), Float64(Float64(log(exp((x ^ -4.0))) / abs(x)) * Float64(0.75 + Float64(1.875 / Float64(x * x)))))) end
code[x_] := N[(N[(N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision] / N[Power[N[Power[Pi, 1.5], $MachinePrecision], 1/3], $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[(N[Log[N[Exp[N[Power[x, -4.0], $MachinePrecision]], $MachinePrecision]], $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision] * N[(0.75 + N[(1.875 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{{\left(e^{x}\right)}^{x}}{\sqrt[3]{{\pi}^{1.5}}} \cdot \mathsf{fma}\left(1 + \frac{0.5}{x \cdot x}, \frac{1}{\left|x\right|}, \frac{\log \left(e^{{x}^{-4}}\right)}{\left|x\right|} \cdot \left(0.75 + \frac{1.875}{x \cdot x}\right)\right)
\end{array}
Initial program 100.0%
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%
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%
Final simplification100.0%
(FPCore (x) :precision binary64 (* (/ (pow (exp x) x) (cbrt (pow PI 1.5))) (fma (+ 1.0 (/ 0.5 (* x x))) (/ 1.0 (fabs x)) (* (+ 0.75 (/ 1.875 (* x x))) (/ (pow x -4.0) (fabs x))))))
double code(double x) {
return (pow(exp(x), x) / cbrt(pow(((double) M_PI), 1.5))) * fma((1.0 + (0.5 / (x * x))), (1.0 / fabs(x)), ((0.75 + (1.875 / (x * x))) * (pow(x, -4.0) / fabs(x))));
}
function code(x) return Float64(Float64((exp(x) ^ x) / cbrt((pi ^ 1.5))) * fma(Float64(1.0 + Float64(0.5 / Float64(x * x))), Float64(1.0 / abs(x)), Float64(Float64(0.75 + Float64(1.875 / Float64(x * x))) * Float64((x ^ -4.0) / abs(x))))) end
code[x_] := N[(N[(N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision] / N[Power[N[Power[Pi, 1.5], $MachinePrecision], 1/3], $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[(1.875 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Power[x, -4.0], $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{{\left(e^{x}\right)}^{x}}{\sqrt[3]{{\pi}^{1.5}}} \cdot \mathsf{fma}\left(1 + \frac{0.5}{x \cdot x}, \frac{1}{\left|x\right|}, \left(0.75 + \frac{1.875}{x \cdot x}\right) \cdot \frac{{x}^{-4}}{\left|x\right|}\right)
\end{array}
Initial program 100.0%
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%
Taylor expanded in x around 0 100.0%
sqr-pow100.0%
associate-/r*100.0%
metadata-eval100.0%
unpow2100.0%
sqr-abs100.0%
associate-/r*100.0%
*-rgt-identity100.0%
associate-*r/100.0%
unpow-1100.0%
unpow-1100.0%
pow-sqr100.0%
metadata-eval100.0%
*-rgt-identity100.0%
metadata-eval100.0%
unpow2100.0%
sqr-abs100.0%
associate-*r/100.0%
associate-/r*100.0%
*-rgt-identity100.0%
associate-*r/100.0%
unpow-1100.0%
unpow-1100.0%
pow-sqr100.0%
metadata-eval100.0%
Simplified100.0%
Final simplification100.0%
(FPCore (x) :precision binary64 (* (fma (+ 1.0 (/ 0.5 (* x x))) (/ 1.0 (fabs x)) (* (+ 0.75 (/ 1.875 (* x x))) (/ (pow x -4.0) (fabs 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 + (1.875 / (x * x))) * (pow(x, -4.0) / fabs(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 + Float64(1.875 / Float64(x * x))) * Float64((x ^ -4.0) / abs(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[(1.875 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Power[x, -4.0], $MachinePrecision] / N[Abs[x], $MachinePrecision]), $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|}, \left(0.75 + \frac{1.875}{x \cdot x}\right) \cdot \frac{{x}^{-4}}{\left|x\right|}\right) \cdot \frac{{\left(e^{x}\right)}^{x}}{\sqrt{\pi}}
\end{array}
Initial program 100.0%
Simplified100.0%
Taylor expanded in x around 0 100.0%
sqr-pow100.0%
associate-/r*100.0%
metadata-eval100.0%
unpow2100.0%
sqr-abs100.0%
associate-/r*100.0%
*-rgt-identity100.0%
associate-*r/100.0%
unpow-1100.0%
unpow-1100.0%
pow-sqr100.0%
metadata-eval100.0%
*-rgt-identity100.0%
metadata-eval100.0%
unpow2100.0%
sqr-abs100.0%
associate-*r/100.0%
associate-/r*100.0%
*-rgt-identity100.0%
associate-*r/100.0%
unpow-1100.0%
unpow-1100.0%
pow-sqr100.0%
metadata-eval100.0%
Simplified100.0%
Final simplification100.0%
(FPCore (x) :precision binary64 (* (/ (exp (* x x)) (sqrt PI)) (+ (/ (+ 1.0 (/ 0.5 (* x x))) (fabs x)) (* (+ 0.75 (/ 1.875 (* x x))) (pow (/ 1.0 (fabs x)) 5.0)))))
double code(double x) {
return (exp((x * x)) / sqrt(((double) M_PI))) * (((1.0 + (0.5 / (x * x))) / fabs(x)) + ((0.75 + (1.875 / (x * x))) * pow((1.0 / fabs(x)), 5.0)));
}
public static double code(double x) {
return (Math.exp((x * x)) / Math.sqrt(Math.PI)) * (((1.0 + (0.5 / (x * x))) / Math.abs(x)) + ((0.75 + (1.875 / (x * x))) * Math.pow((1.0 / Math.abs(x)), 5.0)));
}
def code(x): return (math.exp((x * x)) / math.sqrt(math.pi)) * (((1.0 + (0.5 / (x * x))) / math.fabs(x)) + ((0.75 + (1.875 / (x * x))) * math.pow((1.0 / math.fabs(x)), 5.0)))
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(Float64(0.75 + Float64(1.875 / Float64(x * x))) * (Float64(1.0 / abs(x)) ^ 5.0)))) end
function tmp = code(x) tmp = (exp((x * x)) / sqrt(pi)) * (((1.0 + (0.5 / (x * x))) / abs(x)) + ((0.75 + (1.875 / (x * x))) * ((1.0 / abs(x)) ^ 5.0))); 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[(0.75 + N[(1.875 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Power[N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision], 5.0], $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|} + \left(0.75 + \frac{1.875}{x \cdot x}\right) \cdot {\left(\frac{1}{\left|x\right|}\right)}^{5}\right)
\end{array}
Initial program 100.0%
Simplified100.0%
Final simplification100.0%
(FPCore (x) :precision binary64 (* (/ (exp (* x x)) (sqrt PI)) (+ (/ (+ 1.0 (/ 0.5 (* x x))) (fabs x)) (* (+ 0.75 (/ 1.875 (* x x))) (pow x -5.0)))))
double code(double x) {
return (exp((x * x)) / sqrt(((double) M_PI))) * (((1.0 + (0.5 / (x * x))) / fabs(x)) + ((0.75 + (1.875 / (x * x))) * pow(x, -5.0)));
}
public static double code(double x) {
return (Math.exp((x * x)) / Math.sqrt(Math.PI)) * (((1.0 + (0.5 / (x * x))) / Math.abs(x)) + ((0.75 + (1.875 / (x * x))) * Math.pow(x, -5.0)));
}
def code(x): return (math.exp((x * x)) / math.sqrt(math.pi)) * (((1.0 + (0.5 / (x * x))) / math.fabs(x)) + ((0.75 + (1.875 / (x * x))) * math.pow(x, -5.0)))
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(Float64(0.75 + Float64(1.875 / Float64(x * x))) * (x ^ -5.0)))) end
function tmp = code(x) tmp = (exp((x * x)) / sqrt(pi)) * (((1.0 + (0.5 / (x * x))) / abs(x)) + ((0.75 + (1.875 / (x * x))) * (x ^ -5.0))); 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[(0.75 + N[(1.875 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Power[x, -5.0], $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|} + \left(0.75 + \frac{1.875}{x \cdot x}\right) \cdot {x}^{-5}\right)
\end{array}
Initial program 100.0%
Simplified100.0%
expm1-log1p-u100.0%
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-def100.0%
expm1-log1p100.0%
Simplified100.0%
Final simplification100.0%
(FPCore (x) :precision binary64 (* (/ (/ (exp (* x x)) (fabs x)) (sqrt PI)) (+ 1.0 (+ (/ 1.875 (pow x 6.0)) (/ (+ 0.5 (/ 0.75 (* x x))) (* x x))))))
double code(double x) {
return ((exp((x * x)) / fabs(x)) / sqrt(((double) M_PI))) * (1.0 + ((1.875 / pow(x, 6.0)) + ((0.5 + (0.75 / (x * x))) / (x * x))));
}
public static double code(double x) {
return ((Math.exp((x * x)) / Math.abs(x)) / Math.sqrt(Math.PI)) * (1.0 + ((1.875 / Math.pow(x, 6.0)) + ((0.5 + (0.75 / (x * x))) / (x * x))));
}
def code(x): return ((math.exp((x * x)) / math.fabs(x)) / math.sqrt(math.pi)) * (1.0 + ((1.875 / math.pow(x, 6.0)) + ((0.5 + (0.75 / (x * x))) / (x * x))))
function code(x) return Float64(Float64(Float64(exp(Float64(x * x)) / abs(x)) / sqrt(pi)) * Float64(1.0 + Float64(Float64(1.875 / (x ^ 6.0)) + Float64(Float64(0.5 + Float64(0.75 / Float64(x * x))) / Float64(x * x))))) end
function tmp = code(x) tmp = ((exp((x * x)) / abs(x)) / sqrt(pi)) * (1.0 + ((1.875 / (x ^ 6.0)) + ((0.5 + (0.75 / (x * x))) / (x * x)))); end
code[x_] := N[(N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(1.0 + N[(N[(1.875 / N[Power[x, 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{\frac{e^{x \cdot x}}{\left|x\right|}}{\sqrt{\pi}} \cdot \left(1 + \left(\frac{1.875}{{x}^{6}} + \frac{0.5 + \frac{0.75}{x \cdot x}}{x \cdot x}\right)\right)
\end{array}
Initial program 100.0%
Simplified100.0%
Final simplification100.0%
(FPCore (x) :precision binary64 (* (/ (exp (* x x)) (sqrt PI)) (+ (/ (+ 1.0 (/ 0.5 (* x x))) (fabs x)) (/ 0.75 (pow x 5.0)))))
double code(double x) {
return (exp((x * x)) / sqrt(((double) M_PI))) * (((1.0 + (0.5 / (x * x))) / fabs(x)) + (0.75 / pow(x, 5.0)));
}
public static double code(double x) {
return (Math.exp((x * x)) / Math.sqrt(Math.PI)) * (((1.0 + (0.5 / (x * x))) / Math.abs(x)) + (0.75 / Math.pow(x, 5.0)));
}
def code(x): return (math.exp((x * x)) / math.sqrt(math.pi)) * (((1.0 + (0.5 / (x * x))) / math.fabs(x)) + (0.75 / math.pow(x, 5.0)))
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(0.75 / (x ^ 5.0)))) end
function tmp = code(x) tmp = (exp((x * x)) / sqrt(pi)) * (((1.0 + (0.5 / (x * x))) / abs(x)) + (0.75 / (x ^ 5.0))); 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[(0.75 / N[Power[x, 5.0], $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|} + \frac{0.75}{{x}^{5}}\right)
\end{array}
Initial program 100.0%
Simplified100.0%
expm1-log1p-u100.0%
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-def100.0%
expm1-log1p100.0%
Simplified100.0%
Taylor expanded in x around inf 99.3%
Final simplification99.3%
(FPCore (x) :precision binary64 (* (+ (/ (+ 1.0 (/ 0.5 (* x x))) (fabs x)) (/ 1.875 (pow x 7.0))) (* x (* x (sqrt (/ 1.0 PI))))))
double code(double x) {
return (((1.0 + (0.5 / (x * x))) / fabs(x)) + (1.875 / pow(x, 7.0))) * (x * (x * sqrt((1.0 / ((double) M_PI)))));
}
public static double code(double x) {
return (((1.0 + (0.5 / (x * x))) / Math.abs(x)) + (1.875 / Math.pow(x, 7.0))) * (x * (x * Math.sqrt((1.0 / Math.PI))));
}
def code(x): return (((1.0 + (0.5 / (x * x))) / math.fabs(x)) + (1.875 / math.pow(x, 7.0))) * (x * (x * math.sqrt((1.0 / math.pi))))
function code(x) return Float64(Float64(Float64(Float64(1.0 + Float64(0.5 / Float64(x * x))) / abs(x)) + Float64(1.875 / (x ^ 7.0))) * Float64(x * Float64(x * sqrt(Float64(1.0 / pi))))) end
function tmp = code(x) tmp = (((1.0 + (0.5 / (x * x))) / abs(x)) + (1.875 / (x ^ 7.0))) * (x * (x * sqrt((1.0 / 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[(1.875 / N[Power[x, 7.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(x * N[(x * N[Sqrt[N[(1.0 / Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{1 + \frac{0.5}{x \cdot x}}{\left|x\right|} + \frac{1.875}{{x}^{7}}\right) \cdot \left(x \cdot \left(x \cdot \sqrt{\frac{1}{\pi}}\right)\right)
\end{array}
Initial program 100.0%
Simplified100.0%
expm1-log1p-u100.0%
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-def100.0%
expm1-log1p100.0%
Simplified100.0%
Taylor expanded in x around 0 99.2%
Taylor expanded in x around 0 52.4%
unpow252.4%
Simplified52.4%
Taylor expanded in x around inf 52.4%
*-commutative52.4%
unpow252.4%
associate-*l*52.4%
Simplified52.4%
Final simplification52.4%
(FPCore (x) :precision binary64 (* (+ (/ (+ 1.0 (/ 0.5 (* x x))) (fabs x)) (/ 0.75 (pow x 5.0))) (/ (+ 1.0 (* x x)) (sqrt PI))))
double code(double x) {
return (((1.0 + (0.5 / (x * x))) / fabs(x)) + (0.75 / pow(x, 5.0))) * ((1.0 + (x * x)) / sqrt(((double) M_PI)));
}
public static double code(double x) {
return (((1.0 + (0.5 / (x * x))) / Math.abs(x)) + (0.75 / Math.pow(x, 5.0))) * ((1.0 + (x * x)) / Math.sqrt(Math.PI));
}
def code(x): return (((1.0 + (0.5 / (x * x))) / math.fabs(x)) + (0.75 / math.pow(x, 5.0))) * ((1.0 + (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(0.75 / (x ^ 5.0))) * Float64(Float64(1.0 + Float64(x * x)) / sqrt(pi))) end
function tmp = code(x) tmp = (((1.0 + (0.5 / (x * x))) / abs(x)) + (0.75 / (x ^ 5.0))) * ((1.0 + (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[(0.75 / N[Power[x, 5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 + 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|} + \frac{0.75}{{x}^{5}}\right) \cdot \frac{1 + x \cdot x}{\sqrt{\pi}}
\end{array}
Initial program 100.0%
Simplified100.0%
expm1-log1p-u100.0%
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-def100.0%
expm1-log1p100.0%
Simplified100.0%
Taylor expanded in x around inf 99.3%
Taylor expanded in x around 0 52.4%
unpow252.4%
Simplified52.4%
Final simplification52.4%
(FPCore (x) :precision binary64 (* (/ (+ 1.0 (* x x)) (sqrt PI)) (+ (/ (+ 1.0 (/ 0.5 (* x x))) (fabs x)) (/ 1.875 (pow x 7.0)))))
double code(double x) {
return ((1.0 + (x * x)) / sqrt(((double) M_PI))) * (((1.0 + (0.5 / (x * x))) / fabs(x)) + (1.875 / pow(x, 7.0)));
}
public static double code(double x) {
return ((1.0 + (x * x)) / Math.sqrt(Math.PI)) * (((1.0 + (0.5 / (x * x))) / Math.abs(x)) + (1.875 / Math.pow(x, 7.0)));
}
def code(x): return ((1.0 + (x * x)) / math.sqrt(math.pi)) * (((1.0 + (0.5 / (x * x))) / math.fabs(x)) + (1.875 / math.pow(x, 7.0)))
function code(x) return Float64(Float64(Float64(1.0 + Float64(x * x)) / sqrt(pi)) * Float64(Float64(Float64(1.0 + Float64(0.5 / Float64(x * x))) / abs(x)) + Float64(1.875 / (x ^ 7.0)))) end
function tmp = code(x) tmp = ((1.0 + (x * x)) / sqrt(pi)) * (((1.0 + (0.5 / (x * x))) / abs(x)) + (1.875 / (x ^ 7.0))); end
code[x_] := N[(N[(N[(1.0 + 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[(1.875 / N[Power[x, 7.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{1 + x \cdot x}{\sqrt{\pi}} \cdot \left(\frac{1 + \frac{0.5}{x \cdot x}}{\left|x\right|} + \frac{1.875}{{x}^{7}}\right)
\end{array}
Initial program 100.0%
Simplified100.0%
expm1-log1p-u100.0%
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-def100.0%
expm1-log1p100.0%
Simplified100.0%
Taylor expanded in x around 0 99.2%
Taylor expanded in x around 0 52.4%
unpow252.4%
Simplified52.4%
Final simplification52.4%
(FPCore (x) :precision binary64 (* (sqrt (/ 1.0 PI)) (/ (* x x) (fabs x))))
double code(double x) {
return sqrt((1.0 / ((double) M_PI))) * ((x * x) / fabs(x));
}
public static double code(double x) {
return Math.sqrt((1.0 / Math.PI)) * ((x * x) / Math.abs(x));
}
def code(x): return math.sqrt((1.0 / math.pi)) * ((x * x) / math.fabs(x))
function code(x) return Float64(sqrt(Float64(1.0 / pi)) * Float64(Float64(x * x) / abs(x))) end
function tmp = code(x) tmp = sqrt((1.0 / pi)) * ((x * x) / abs(x)); end
code[x_] := N[(N[Sqrt[N[(1.0 / Pi), $MachinePrecision]], $MachinePrecision] * N[(N[(x * x), $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt{\frac{1}{\pi}} \cdot \frac{x \cdot x}{\left|x\right|}
\end{array}
Initial program 100.0%
Simplified100.0%
expm1-log1p-u100.0%
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-def100.0%
expm1-log1p100.0%
Simplified100.0%
Taylor expanded in x around inf 99.3%
Taylor expanded in x around 0 52.4%
unpow252.4%
Simplified52.4%
Taylor expanded in x around inf 52.4%
*-commutative52.4%
unpow252.4%
Simplified52.4%
Final simplification52.4%
(FPCore (x) :precision binary64 (* (sqrt (/ 1.0 PI)) (+ (/ 1.5 x) (/ x (/ x x)))))
double code(double x) {
return sqrt((1.0 / ((double) M_PI))) * ((1.5 / x) + (x / (x / x)));
}
public static double code(double x) {
return Math.sqrt((1.0 / Math.PI)) * ((1.5 / x) + (x / (x / x)));
}
def code(x): return math.sqrt((1.0 / math.pi)) * ((1.5 / x) + (x / (x / x)))
function code(x) return Float64(sqrt(Float64(1.0 / pi)) * Float64(Float64(1.5 / x) + Float64(x / Float64(x / x)))) end
function tmp = code(x) tmp = sqrt((1.0 / pi)) * ((1.5 / x) + (x / (x / x))); end
code[x_] := N[(N[Sqrt[N[(1.0 / Pi), $MachinePrecision]], $MachinePrecision] * N[(N[(1.5 / x), $MachinePrecision] + N[(x / N[(x / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt{\frac{1}{\pi}} \cdot \left(\frac{1.5}{x} + \frac{x}{\frac{x}{x}}\right)
\end{array}
Initial program 100.0%
Simplified100.0%
expm1-log1p-u100.0%
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-def100.0%
expm1-log1p100.0%
Simplified100.0%
Taylor expanded in x around inf 99.3%
Taylor expanded in x around 0 52.4%
unpow252.4%
Simplified52.4%
Taylor expanded in x around inf 52.4%
associate-*r*52.4%
distribute-rgt-out52.4%
associate-*r/52.4%
metadata-eval52.4%
unpow152.4%
sqr-pow52.4%
fabs-sqr52.4%
sqr-pow52.4%
unpow152.4%
unpow252.4%
associate-/l*5.5%
unpow15.5%
sqr-pow5.5%
fabs-sqr5.5%
sqr-pow5.5%
unpow15.5%
Simplified5.5%
Final simplification5.5%
(FPCore (x) :precision binary64 (* (sqrt (/ 1.0 PI)) (/ x (/ x x))))
double code(double x) {
return sqrt((1.0 / ((double) M_PI))) * (x / (x / x));
}
public static double code(double x) {
return Math.sqrt((1.0 / Math.PI)) * (x / (x / x));
}
def code(x): return math.sqrt((1.0 / math.pi)) * (x / (x / x))
function code(x) return Float64(sqrt(Float64(1.0 / pi)) * Float64(x / Float64(x / x))) end
function tmp = code(x) tmp = sqrt((1.0 / pi)) * (x / (x / x)); end
code[x_] := N[(N[Sqrt[N[(1.0 / Pi), $MachinePrecision]], $MachinePrecision] * N[(x / N[(x / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt{\frac{1}{\pi}} \cdot \frac{x}{\frac{x}{x}}
\end{array}
Initial program 100.0%
Simplified100.0%
expm1-log1p-u100.0%
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-def100.0%
expm1-log1p100.0%
Simplified100.0%
Taylor expanded in x around inf 99.3%
Taylor expanded in x around 0 52.4%
unpow252.4%
Simplified52.4%
Taylor expanded in x around inf 52.4%
*-commutative52.4%
unpow252.4%
associate-/l*5.5%
unpow15.5%
sqr-pow5.5%
fabs-sqr5.5%
sqr-pow5.5%
unpow15.5%
Simplified5.5%
Final simplification5.5%
(FPCore (x) :precision binary64 (/ (sqrt (/ 1.0 PI)) x))
double code(double x) {
return sqrt((1.0 / ((double) M_PI))) / x;
}
public static double code(double x) {
return Math.sqrt((1.0 / Math.PI)) / x;
}
def code(x): return math.sqrt((1.0 / math.pi)) / x
function code(x) return Float64(sqrt(Float64(1.0 / pi)) / x) end
function tmp = code(x) tmp = sqrt((1.0 / pi)) / x; end
code[x_] := N[(N[Sqrt[N[(1.0 / Pi), $MachinePrecision]], $MachinePrecision] / x), $MachinePrecision]
\begin{array}{l}
\\
\frac{\sqrt{\frac{1}{\pi}}}{x}
\end{array}
Initial program 100.0%
Simplified100.0%
expm1-log1p-u100.0%
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-def100.0%
expm1-log1p100.0%
Simplified100.0%
Taylor expanded in x around inf 99.3%
Taylor expanded in x around 0 2.3%
Taylor expanded in x around inf 2.3%
associate-*l/2.3%
unpow12.3%
sqr-pow2.3%
fabs-sqr2.3%
*-lft-identity2.3%
sqr-pow2.3%
unpow12.3%
Simplified2.3%
Final simplification2.3%
herbie shell --seed 2023222
(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)))))))