
(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 5 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x)
:precision binary64
(let* ((t_0 (/ 1.0 (fabs x)))
(t_1 (* (* t_0 t_0) t_0))
(t_2 (* (* t_1 t_0) t_0)))
(*
(* (/ 1.0 (sqrt PI)) (exp (* (fabs x) (fabs x))))
(+
(+ (+ t_0 (* (/ 1.0 2.0) t_1)) (* (/ 3.0 4.0) t_2))
(* (/ 15.0 8.0) (* (* t_2 t_0) t_0))))))
double code(double x) {
double t_0 = 1.0 / fabs(x);
double t_1 = (t_0 * t_0) * t_0;
double t_2 = (t_1 * t_0) * t_0;
return ((1.0 / sqrt(((double) M_PI))) * exp((fabs(x) * fabs(x)))) * (((t_0 + ((1.0 / 2.0) * t_1)) + ((3.0 / 4.0) * t_2)) + ((15.0 / 8.0) * ((t_2 * t_0) * t_0)));
}
public static double code(double x) {
double t_0 = 1.0 / Math.abs(x);
double t_1 = (t_0 * t_0) * t_0;
double t_2 = (t_1 * t_0) * t_0;
return ((1.0 / Math.sqrt(Math.PI)) * Math.exp((Math.abs(x) * Math.abs(x)))) * (((t_0 + ((1.0 / 2.0) * t_1)) + ((3.0 / 4.0) * t_2)) + ((15.0 / 8.0) * ((t_2 * t_0) * t_0)));
}
def code(x): t_0 = 1.0 / math.fabs(x) t_1 = (t_0 * t_0) * t_0 t_2 = (t_1 * t_0) * t_0 return ((1.0 / math.sqrt(math.pi)) * math.exp((math.fabs(x) * math.fabs(x)))) * (((t_0 + ((1.0 / 2.0) * t_1)) + ((3.0 / 4.0) * t_2)) + ((15.0 / 8.0) * ((t_2 * t_0) * t_0)))
function code(x) t_0 = Float64(1.0 / abs(x)) t_1 = Float64(Float64(t_0 * t_0) * t_0) t_2 = Float64(Float64(t_1 * t_0) * t_0) return Float64(Float64(Float64(1.0 / sqrt(pi)) * exp(Float64(abs(x) * abs(x)))) * Float64(Float64(Float64(t_0 + Float64(Float64(1.0 / 2.0) * t_1)) + Float64(Float64(3.0 / 4.0) * t_2)) + Float64(Float64(15.0 / 8.0) * Float64(Float64(t_2 * t_0) * t_0)))) end
function tmp = code(x) t_0 = 1.0 / abs(x); t_1 = (t_0 * t_0) * t_0; t_2 = (t_1 * t_0) * t_0; tmp = ((1.0 / sqrt(pi)) * exp((abs(x) * abs(x)))) * (((t_0 + ((1.0 / 2.0) * t_1)) + ((3.0 / 4.0) * t_2)) + ((15.0 / 8.0) * ((t_2 * t_0) * t_0))); end
code[x_] := Block[{t$95$0 = N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(t$95$0 * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]}, Block[{t$95$2 = N[(N[(t$95$1 * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]}, N[(N[(N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[Exp[N[(N[Abs[x], $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(t$95$0 + N[(N[(1.0 / 2.0), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] + N[(N[(3.0 / 4.0), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision] + N[(N[(15.0 / 8.0), $MachinePrecision] * N[(N[(t$95$2 * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{1}{\left|x\right|}\\
t_1 := \left(t\_0 \cdot t\_0\right) \cdot t\_0\\
t_2 := \left(t\_1 \cdot t\_0\right) \cdot t\_0\\
\left(\frac{1}{\sqrt{\pi}} \cdot e^{\left|x\right| \cdot \left|x\right|}\right) \cdot \left(\left(\left(t\_0 + \frac{1}{2} \cdot t\_1\right) + \frac{3}{4} \cdot t\_2\right) + \frac{15}{8} \cdot \left(\left(t\_2 \cdot t\_0\right) \cdot t\_0\right)\right)
\end{array}
\end{array}
(FPCore (x)
:precision binary64
(let* ((t_0 (- (fabs x))) (t_1 (/ 1.0 (fabs x))))
(*
(* (/ 1.0 (sqrt PI)) (pow (exp t_0) t_0))
(+
(+
(+ t_1 (* (/ 1.0 2.0) (* (/ 1.0 (* x x)) t_1)))
(* (/ 3.0 4.0) (* (* (* (* t_1 t_1) t_1) t_1) t_1)))
(* (/ 15.0 8.0) (pow x -7.0))))))
double code(double x) {
double t_0 = -fabs(x);
double t_1 = 1.0 / fabs(x);
return ((1.0 / sqrt(((double) M_PI))) * pow(exp(t_0), t_0)) * (((t_1 + ((1.0 / 2.0) * ((1.0 / (x * x)) * t_1))) + ((3.0 / 4.0) * ((((t_1 * t_1) * t_1) * t_1) * t_1))) + ((15.0 / 8.0) * pow(x, -7.0)));
}
public static double code(double x) {
double t_0 = -Math.abs(x);
double t_1 = 1.0 / Math.abs(x);
return ((1.0 / Math.sqrt(Math.PI)) * Math.pow(Math.exp(t_0), t_0)) * (((t_1 + ((1.0 / 2.0) * ((1.0 / (x * x)) * t_1))) + ((3.0 / 4.0) * ((((t_1 * t_1) * t_1) * t_1) * t_1))) + ((15.0 / 8.0) * Math.pow(x, -7.0)));
}
def code(x): t_0 = -math.fabs(x) t_1 = 1.0 / math.fabs(x) return ((1.0 / math.sqrt(math.pi)) * math.pow(math.exp(t_0), t_0)) * (((t_1 + ((1.0 / 2.0) * ((1.0 / (x * x)) * t_1))) + ((3.0 / 4.0) * ((((t_1 * t_1) * t_1) * t_1) * t_1))) + ((15.0 / 8.0) * math.pow(x, -7.0)))
function code(x) t_0 = Float64(-abs(x)) t_1 = Float64(1.0 / abs(x)) return Float64(Float64(Float64(1.0 / sqrt(pi)) * (exp(t_0) ^ t_0)) * Float64(Float64(Float64(t_1 + Float64(Float64(1.0 / 2.0) * Float64(Float64(1.0 / Float64(x * x)) * t_1))) + Float64(Float64(3.0 / 4.0) * Float64(Float64(Float64(Float64(t_1 * t_1) * t_1) * t_1) * t_1))) + Float64(Float64(15.0 / 8.0) * (x ^ -7.0)))) end
function tmp = code(x) t_0 = -abs(x); t_1 = 1.0 / abs(x); tmp = ((1.0 / sqrt(pi)) * (exp(t_0) ^ t_0)) * (((t_1 + ((1.0 / 2.0) * ((1.0 / (x * x)) * t_1))) + ((3.0 / 4.0) * ((((t_1 * t_1) * t_1) * t_1) * t_1))) + ((15.0 / 8.0) * (x ^ -7.0))); end
code[x_] := Block[{t$95$0 = (-N[Abs[x], $MachinePrecision])}, Block[{t$95$1 = N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[Power[N[Exp[t$95$0], $MachinePrecision], t$95$0], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(t$95$1 + N[(N[(1.0 / 2.0), $MachinePrecision] * N[(N[(1.0 / N[(x * x), $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(3.0 / 4.0), $MachinePrecision] * N[(N[(N[(N[(t$95$1 * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(15.0 / 8.0), $MachinePrecision] * N[Power[x, -7.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := -\left|x\right|\\
t_1 := \frac{1}{\left|x\right|}\\
\left(\frac{1}{\sqrt{\pi}} \cdot {\left(e^{t\_0}\right)}^{t\_0}\right) \cdot \left(\left(\left(t\_1 + \frac{1}{2} \cdot \left(\frac{1}{x \cdot x} \cdot t\_1\right)\right) + \frac{3}{4} \cdot \left(\left(\left(\left(t\_1 \cdot t\_1\right) \cdot t\_1\right) \cdot t\_1\right) \cdot t\_1\right)\right) + \frac{15}{8} \cdot {x}^{-7}\right)
\end{array}
\end{array}
Initial program 100.0%
lift-exp.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-neg-revN/A
exp-prodN/A
lower-pow.f64N/A
lower-exp.f64N/A
lower-neg.f64N/A
lift-fabs.f64N/A
lower-neg.f64N/A
lift-fabs.f64100.0
Applied rewrites100.0%
Taylor expanded in x around 0
pow-flipN/A
metadata-evalN/A
lift-pow.f64N/A
rem-sqrt-square-revN/A
sqrt-unprodN/A
rem-square-sqrt100.0
Applied rewrites100.0%
lift-*.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
frac-timesN/A
metadata-evalN/A
sqr-abs-revN/A
pow2N/A
lower-/.f64N/A
pow2N/A
lift-*.f64100.0
Applied rewrites100.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (/ 1.0 (fabs x))))
(*
(* (/ 1.0 (sqrt PI)) (exp (* x x)))
(+
(+
(+ t_0 (/ (/ 0.5 (* x x)) (fabs x)))
(* (/ 3.0 4.0) (* (* (* (* t_0 t_0) t_0) t_0) t_0)))
(* (/ 15.0 8.0) (pow x -7.0))))))
double code(double x) {
double t_0 = 1.0 / fabs(x);
return ((1.0 / sqrt(((double) M_PI))) * exp((x * x))) * (((t_0 + ((0.5 / (x * x)) / fabs(x))) + ((3.0 / 4.0) * ((((t_0 * t_0) * t_0) * t_0) * t_0))) + ((15.0 / 8.0) * pow(x, -7.0)));
}
public static double code(double x) {
double t_0 = 1.0 / Math.abs(x);
return ((1.0 / Math.sqrt(Math.PI)) * Math.exp((x * x))) * (((t_0 + ((0.5 / (x * x)) / Math.abs(x))) + ((3.0 / 4.0) * ((((t_0 * t_0) * t_0) * t_0) * t_0))) + ((15.0 / 8.0) * Math.pow(x, -7.0)));
}
def code(x): t_0 = 1.0 / math.fabs(x) return ((1.0 / math.sqrt(math.pi)) * math.exp((x * x))) * (((t_0 + ((0.5 / (x * x)) / math.fabs(x))) + ((3.0 / 4.0) * ((((t_0 * t_0) * t_0) * t_0) * t_0))) + ((15.0 / 8.0) * math.pow(x, -7.0)))
function code(x) t_0 = Float64(1.0 / abs(x)) return Float64(Float64(Float64(1.0 / sqrt(pi)) * exp(Float64(x * x))) * Float64(Float64(Float64(t_0 + Float64(Float64(0.5 / Float64(x * x)) / abs(x))) + Float64(Float64(3.0 / 4.0) * Float64(Float64(Float64(Float64(t_0 * t_0) * t_0) * t_0) * t_0))) + Float64(Float64(15.0 / 8.0) * (x ^ -7.0)))) end
function tmp = code(x) t_0 = 1.0 / abs(x); tmp = ((1.0 / sqrt(pi)) * exp((x * x))) * (((t_0 + ((0.5 / (x * x)) / abs(x))) + ((3.0 / 4.0) * ((((t_0 * t_0) * t_0) * t_0) * t_0))) + ((15.0 / 8.0) * (x ^ -7.0))); end
code[x_] := Block[{t$95$0 = N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(t$95$0 + N[(N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(3.0 / 4.0), $MachinePrecision] * N[(N[(N[(N[(t$95$0 * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(15.0 / 8.0), $MachinePrecision] * N[Power[x, -7.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{1}{\left|x\right|}\\
\left(\frac{1}{\sqrt{\pi}} \cdot e^{x \cdot x}\right) \cdot \left(\left(\left(t\_0 + \frac{\frac{0.5}{x \cdot x}}{\left|x\right|}\right) + \frac{3}{4} \cdot \left(\left(\left(\left(t\_0 \cdot t\_0\right) \cdot t\_0\right) \cdot t\_0\right) \cdot t\_0\right)\right) + \frac{15}{8} \cdot {x}^{-7}\right)
\end{array}
\end{array}
Initial program 100.0%
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
associate-*r/N/A
*-rgt-identityN/A
associate-*r/N/A
lower-/.f64N/A
Applied rewrites100.0%
Taylor expanded in x around 0
pow-flipN/A
metadata-evalN/A
lift-pow.f64N/A
rem-sqrt-square-revN/A
sqrt-unprodN/A
rem-square-sqrt100.0
Applied rewrites100.0%
Final simplification100.0%
(FPCore (x) :precision binary64 (* (* (/ 1.0 (sqrt PI)) (exp (* x x))) (fma (/ (- -1.0 (/ 0.5 (* (fabs x) x))) x) -1.0 (fma (pow (fabs x) -7.0) 1.875 (* (pow (fabs x) -5.0) 0.75)))))
double code(double x) {
return ((1.0 / sqrt(((double) M_PI))) * exp((x * x))) * fma(((-1.0 - (0.5 / (fabs(x) * x))) / x), -1.0, fma(pow(fabs(x), -7.0), 1.875, (pow(fabs(x), -5.0) * 0.75)));
}
function code(x) return Float64(Float64(Float64(1.0 / sqrt(pi)) * exp(Float64(x * x))) * fma(Float64(Float64(-1.0 - Float64(0.5 / Float64(abs(x) * x))) / x), -1.0, fma((abs(x) ^ -7.0), 1.875, Float64((abs(x) ^ -5.0) * 0.75)))) end
code[x_] := N[(N[(N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(-1.0 - N[(0.5 / N[(N[Abs[x], $MachinePrecision] * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision] * -1.0 + N[(N[Power[N[Abs[x], $MachinePrecision], -7.0], $MachinePrecision] * 1.875 + N[(N[Power[N[Abs[x], $MachinePrecision], -5.0], $MachinePrecision] * 0.75), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{1}{\sqrt{\pi}} \cdot e^{x \cdot x}\right) \cdot \mathsf{fma}\left(\frac{-1 - \frac{0.5}{\left|x\right| \cdot x}}{x}, -1, \mathsf{fma}\left({\left(\left|x\right|\right)}^{-7}, 1.875, {\left(\left|x\right|\right)}^{-5} \cdot 0.75\right)\right)
\end{array}
Initial program 100.0%
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
associate-*r/N/A
*-rgt-identityN/A
associate-*r/N/A
lower-/.f64N/A
Applied rewrites100.0%
lift-/.f64N/A
lift-fabs.f64N/A
rem-sqrt-square-revN/A
sqrt-unprodN/A
associate-/r*N/A
lower-/.f64N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64100.0
Applied rewrites100.0%
Taylor expanded in x around -inf
Applied rewrites100.0%
Final simplification100.0%
(FPCore (x) :precision binary64 (* (* (/ 1.0 (sqrt PI)) (exp (* x x))) (/ (/ (+ (/ 0.5 (fabs x)) x) x) x)))
double code(double x) {
return ((1.0 / sqrt(((double) M_PI))) * exp((x * x))) * ((((0.5 / fabs(x)) + x) / x) / x);
}
public static double code(double x) {
return ((1.0 / Math.sqrt(Math.PI)) * Math.exp((x * x))) * ((((0.5 / Math.abs(x)) + x) / x) / x);
}
def code(x): return ((1.0 / math.sqrt(math.pi)) * math.exp((x * x))) * ((((0.5 / math.fabs(x)) + x) / x) / x)
function code(x) return Float64(Float64(Float64(1.0 / sqrt(pi)) * exp(Float64(x * x))) * Float64(Float64(Float64(Float64(0.5 / abs(x)) + x) / x) / x)) end
function tmp = code(x) tmp = ((1.0 / sqrt(pi)) * exp((x * x))) * ((((0.5 / abs(x)) + x) / x) / x); end
code[x_] := N[(N[(N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(0.5 / N[Abs[x], $MachinePrecision]), $MachinePrecision] + x), $MachinePrecision] / x), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{1}{\sqrt{\pi}} \cdot e^{x \cdot x}\right) \cdot \frac{\frac{\frac{0.5}{\left|x\right|} + x}{x}}{x}
\end{array}
Initial program 100.0%
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
associate-*r/N/A
*-rgt-identityN/A
associate-*r/N/A
lower-/.f64N/A
Applied rewrites100.0%
lift-/.f64N/A
lift-fabs.f64N/A
rem-sqrt-square-revN/A
sqrt-unprodN/A
associate-/r*N/A
lower-/.f64N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64100.0
Applied rewrites100.0%
Taylor expanded in x around 0
metadata-evalN/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
associate-*r/N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-/.f64N/A
metadata-evalN/A
lift-fabs.f64N/A
pow2N/A
lift-*.f6448.0
Applied rewrites48.0%
Taylor expanded in x around 0
metadata-evalN/A
+-commutativeN/A
associate-*r/N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
pow2N/A
associate-/r*N/A
Applied rewrites99.2%
Final simplification99.2%
(FPCore (x) :precision binary64 (* (* (/ 1.0 (sqrt PI)) (exp (* x x))) (/ 1.0 x)))
double code(double x) {
return ((1.0 / sqrt(((double) M_PI))) * exp((x * x))) * (1.0 / x);
}
public static double code(double x) {
return ((1.0 / Math.sqrt(Math.PI)) * Math.exp((x * x))) * (1.0 / x);
}
def code(x): return ((1.0 / math.sqrt(math.pi)) * math.exp((x * x))) * (1.0 / x)
function code(x) return Float64(Float64(Float64(1.0 / sqrt(pi)) * exp(Float64(x * x))) * Float64(1.0 / x)) end
function tmp = code(x) tmp = ((1.0 / sqrt(pi)) * exp((x * x))) * (1.0 / x); end
code[x_] := N[(N[(N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(1.0 / x), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{1}{\sqrt{\pi}} \cdot e^{x \cdot x}\right) \cdot \frac{1}{x}
\end{array}
Initial program 100.0%
lift-fabs.f64N/A
rem-sqrt-square-revN/A
sqrt-prodN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64100.0
Applied rewrites100.0%
Taylor expanded in x around 0
Applied rewrites99.1%
lift-pow.f64N/A
inv-powN/A
lower-/.f6499.1
Applied rewrites99.1%
Final simplification99.1%
herbie shell --seed 2025083
(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)))))))