
(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 6 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)) (fabs (* x (sqrt PI)))))
double code(double x) {
return exp((x * x)) / fabs((x * sqrt(((double) M_PI))));
}
public static double code(double x) {
return Math.exp((x * x)) / Math.abs((x * Math.sqrt(Math.PI)));
}
def code(x): return math.exp((x * x)) / math.fabs((x * math.sqrt(math.pi)))
function code(x) return Float64(exp(Float64(x * x)) / abs(Float64(x * sqrt(pi)))) end
function tmp = code(x) tmp = exp((x * x)) / abs((x * sqrt(pi))); end
code[x_] := N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Abs[N[(x * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{e^{x \cdot x}}{\left|x \cdot \sqrt{\pi}\right|}
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around inf
associate-*r/N/A
*-commutativeN/A
associate-/l*N/A
lower-*.f64N/A
unpow2N/A
sqr-absN/A
unpow2N/A
lower-exp.f64N/A
unpow2N/A
lower-*.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-PI.f64N/A
lower-fabs.f64100.0
Applied rewrites100.0%
lift-*.f64N/A
lift-exp.f64N/A
lift-PI.f64N/A
lift-/.f64N/A
lift-sqrt.f64N/A
lift-fabs.f64N/A
div-invN/A
div-invN/A
clear-numN/A
un-div-invN/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-/.f64N/A
sqrt-divN/A
metadata-evalN/A
associate-/r/N/A
/-rgt-identityN/A
lift-fabs.f64N/A
rem-square-sqrtN/A
Applied rewrites100.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (fabs (* x (sqrt PI)))) (t_1 (fma (* x x) 0.5 1.0)))
(if (<= (fabs x) 1e+51)
(/
(fma (* x x) (* t_1 (* x (fma x (* x (* x 0.5)) x))) -1.0)
(* t_0 (fma (* x x) t_1 -1.0)))
(/
(fma x (fma (fma x (* x 0.16666666666666666) 0.5) (* x (* x x)) x) 1.0)
t_0))))
double code(double x) {
double t_0 = fabs((x * sqrt(((double) M_PI))));
double t_1 = fma((x * x), 0.5, 1.0);
double tmp;
if (fabs(x) <= 1e+51) {
tmp = fma((x * x), (t_1 * (x * fma(x, (x * (x * 0.5)), x))), -1.0) / (t_0 * fma((x * x), t_1, -1.0));
} else {
tmp = fma(x, fma(fma(x, (x * 0.16666666666666666), 0.5), (x * (x * x)), x), 1.0) / t_0;
}
return tmp;
}
function code(x) t_0 = abs(Float64(x * sqrt(pi))) t_1 = fma(Float64(x * x), 0.5, 1.0) tmp = 0.0 if (abs(x) <= 1e+51) tmp = Float64(fma(Float64(x * x), Float64(t_1 * Float64(x * fma(x, Float64(x * Float64(x * 0.5)), x))), -1.0) / Float64(t_0 * fma(Float64(x * x), t_1, -1.0))); else tmp = Float64(fma(x, fma(fma(x, Float64(x * 0.16666666666666666), 0.5), Float64(x * Float64(x * x)), x), 1.0) / t_0); end return tmp end
code[x_] := Block[{t$95$0 = N[Abs[N[(x * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[(x * x), $MachinePrecision] * 0.5 + 1.0), $MachinePrecision]}, If[LessEqual[N[Abs[x], $MachinePrecision], 1e+51], N[(N[(N[(x * x), $MachinePrecision] * N[(t$95$1 * N[(x * N[(x * N[(x * N[(x * 0.5), $MachinePrecision]), $MachinePrecision] + x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + -1.0), $MachinePrecision] / N[(t$95$0 * N[(N[(x * x), $MachinePrecision] * t$95$1 + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(x * N[(N[(x * N[(x * 0.16666666666666666), $MachinePrecision] + 0.5), $MachinePrecision] * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision] + x), $MachinePrecision] + 1.0), $MachinePrecision] / t$95$0), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left|x \cdot \sqrt{\pi}\right|\\
t_1 := \mathsf{fma}\left(x \cdot x, 0.5, 1\right)\\
\mathbf{if}\;\left|x\right| \leq 10^{+51}:\\
\;\;\;\;\frac{\mathsf{fma}\left(x \cdot x, t\_1 \cdot \left(x \cdot \mathsf{fma}\left(x, x \cdot \left(x \cdot 0.5\right), x\right)\right), -1\right)}{t\_0 \cdot \mathsf{fma}\left(x \cdot x, t\_1, -1\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(x, \mathsf{fma}\left(\mathsf{fma}\left(x, x \cdot 0.16666666666666666, 0.5\right), x \cdot \left(x \cdot x\right), x\right), 1\right)}{t\_0}\\
\end{array}
\end{array}
if (fabs.f64 x) < 1e51Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around inf
associate-*r/N/A
*-commutativeN/A
associate-/l*N/A
lower-*.f64N/A
unpow2N/A
sqr-absN/A
unpow2N/A
lower-exp.f64N/A
unpow2N/A
lower-*.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-PI.f64N/A
lower-fabs.f64100.0
Applied rewrites100.0%
Taylor expanded in x around 0
+-commutativeN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
+-commutativeN/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f643.9
Applied rewrites3.9%
Applied rewrites34.1%
if 1e51 < (fabs.f64 x) Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around inf
associate-*r/N/A
*-commutativeN/A
associate-/l*N/A
lower-*.f64N/A
unpow2N/A
sqr-absN/A
unpow2N/A
lower-exp.f64N/A
unpow2N/A
lower-*.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-PI.f64N/A
lower-fabs.f64100.0
Applied rewrites100.0%
lift-*.f64N/A
lift-exp.f64N/A
lift-PI.f64N/A
lift-/.f64N/A
lift-sqrt.f64N/A
lift-fabs.f64N/A
div-invN/A
div-invN/A
clear-numN/A
un-div-invN/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-/.f64N/A
sqrt-divN/A
metadata-evalN/A
associate-/r/N/A
/-rgt-identityN/A
lift-fabs.f64N/A
rem-square-sqrtN/A
Applied rewrites100.0%
Taylor expanded in x around 0
+-commutativeN/A
unpow2N/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites100.0%
Final simplification90.2%
(FPCore (x) :precision binary64 (/ (fma x (fma (fma x (* x 0.16666666666666666) 0.5) (* x (* x x)) x) 1.0) (fabs (* x (sqrt PI)))))
double code(double x) {
return fma(x, fma(fma(x, (x * 0.16666666666666666), 0.5), (x * (x * x)), x), 1.0) / fabs((x * sqrt(((double) M_PI))));
}
function code(x) return Float64(fma(x, fma(fma(x, Float64(x * 0.16666666666666666), 0.5), Float64(x * Float64(x * x)), x), 1.0) / abs(Float64(x * sqrt(pi)))) end
code[x_] := N[(N[(x * N[(N[(x * N[(x * 0.16666666666666666), $MachinePrecision] + 0.5), $MachinePrecision] * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision] + x), $MachinePrecision] + 1.0), $MachinePrecision] / N[Abs[N[(x * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(x, \mathsf{fma}\left(\mathsf{fma}\left(x, x \cdot 0.16666666666666666, 0.5\right), x \cdot \left(x \cdot x\right), x\right), 1\right)}{\left|x \cdot \sqrt{\pi}\right|}
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around inf
associate-*r/N/A
*-commutativeN/A
associate-/l*N/A
lower-*.f64N/A
unpow2N/A
sqr-absN/A
unpow2N/A
lower-exp.f64N/A
unpow2N/A
lower-*.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-PI.f64N/A
lower-fabs.f64100.0
Applied rewrites100.0%
lift-*.f64N/A
lift-exp.f64N/A
lift-PI.f64N/A
lift-/.f64N/A
lift-sqrt.f64N/A
lift-fabs.f64N/A
div-invN/A
div-invN/A
clear-numN/A
un-div-invN/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-/.f64N/A
sqrt-divN/A
metadata-evalN/A
associate-/r/N/A
/-rgt-identityN/A
lift-fabs.f64N/A
rem-square-sqrtN/A
Applied rewrites100.0%
Taylor expanded in x around 0
+-commutativeN/A
unpow2N/A
associate-*l*N/A
lower-fma.f64N/A
Applied rewrites85.9%
(FPCore (x) :precision binary64 (/ (fma (* x x) (fma (* x x) 0.5 1.0) 1.0) (fabs (* x (sqrt PI)))))
double code(double x) {
return fma((x * x), fma((x * x), 0.5, 1.0), 1.0) / fabs((x * sqrt(((double) M_PI))));
}
function code(x) return Float64(fma(Float64(x * x), fma(Float64(x * x), 0.5, 1.0), 1.0) / abs(Float64(x * sqrt(pi)))) end
code[x_] := N[(N[(N[(x * x), $MachinePrecision] * N[(N[(x * x), $MachinePrecision] * 0.5 + 1.0), $MachinePrecision] + 1.0), $MachinePrecision] / N[Abs[N[(x * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, 0.5, 1\right), 1\right)}{\left|x \cdot \sqrt{\pi}\right|}
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around inf
associate-*r/N/A
*-commutativeN/A
associate-/l*N/A
lower-*.f64N/A
unpow2N/A
sqr-absN/A
unpow2N/A
lower-exp.f64N/A
unpow2N/A
lower-*.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-PI.f64N/A
lower-fabs.f64100.0
Applied rewrites100.0%
Taylor expanded in x around 0
+-commutativeN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
+-commutativeN/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f6476.9
Applied rewrites76.9%
lift-*.f64N/A
lift-*.f64N/A
lift-fma.f64N/A
lift-fma.f64N/A
lift-PI.f64N/A
frac-2negN/A
metadata-evalN/A
metadata-evalN/A
frac-2negN/A
lift-/.f64N/A
lift-sqrt.f64N/A
lift-fabs.f64N/A
clear-numN/A
un-div-invN/A
Applied rewrites76.9%
(FPCore (x) :precision binary64 (/ (fma x x 1.0) (fabs (* x (sqrt PI)))))
double code(double x) {
return fma(x, x, 1.0) / fabs((x * sqrt(((double) M_PI))));
}
function code(x) return Float64(fma(x, x, 1.0) / abs(Float64(x * sqrt(pi)))) end
code[x_] := N[(N[(x * x + 1.0), $MachinePrecision] / N[Abs[N[(x * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(x, x, 1\right)}{\left|x \cdot \sqrt{\pi}\right|}
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around inf
associate-*r/N/A
*-commutativeN/A
associate-/l*N/A
lower-*.f64N/A
unpow2N/A
sqr-absN/A
unpow2N/A
lower-exp.f64N/A
unpow2N/A
lower-*.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-PI.f64N/A
lower-fabs.f64100.0
Applied rewrites100.0%
Taylor expanded in x around 0
+-commutativeN/A
unpow2N/A
lower-fma.f6451.5
Applied rewrites51.5%
lift-fma.f64N/A
lift-PI.f64N/A
frac-2negN/A
metadata-evalN/A
metadata-evalN/A
frac-2negN/A
lift-/.f64N/A
lift-sqrt.f64N/A
lift-fabs.f64N/A
div-invN/A
div-invN/A
clear-numN/A
un-div-invN/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-/.f64N/A
sqrt-divN/A
metadata-evalN/A
lift-sqrt.f64N/A
Applied rewrites51.5%
(FPCore (x) :precision binary64 (/ 1.0 (fabs (* x (sqrt PI)))))
double code(double x) {
return 1.0 / fabs((x * sqrt(((double) M_PI))));
}
public static double code(double x) {
return 1.0 / Math.abs((x * Math.sqrt(Math.PI)));
}
def code(x): return 1.0 / math.fabs((x * math.sqrt(math.pi)))
function code(x) return Float64(1.0 / abs(Float64(x * sqrt(pi)))) end
function tmp = code(x) tmp = 1.0 / abs((x * sqrt(pi))); end
code[x_] := N[(1.0 / N[Abs[N[(x * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{1}{\left|x \cdot \sqrt{\pi}\right|}
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around inf
associate-*r/N/A
*-commutativeN/A
associate-/l*N/A
lower-*.f64N/A
unpow2N/A
sqr-absN/A
unpow2N/A
lower-exp.f64N/A
unpow2N/A
lower-*.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-PI.f64N/A
lower-fabs.f64100.0
Applied rewrites100.0%
Taylor expanded in x around 0
associate-*r/N/A
*-rgt-identityN/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-PI.f64N/A
lower-fabs.f642.3
Applied rewrites2.3%
lift-PI.f64N/A
frac-2negN/A
metadata-evalN/A
metadata-evalN/A
frac-2negN/A
lift-/.f64N/A
lift-sqrt.f64N/A
lift-fabs.f64N/A
clear-numN/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-/.f64N/A
sqrt-divN/A
metadata-evalN/A
lift-sqrt.f64N/A
associate-/r/N/A
/-rgt-identityN/A
lift-fabs.f64N/A
rem-square-sqrtN/A
sqrt-prodN/A
rem-sqrt-squareN/A
Applied rewrites2.3%
herbie shell --seed 2024219
(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)))))))