
(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}
Herbie found 13 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 (* (* (/ 1.0 (cbrt (sqrt (* (* PI PI) PI)))) (pow (exp (- x)) (- x))) (fma (pow (fabs x) -5.0) 0.75 (fma (pow (fabs x) -7.0) 1.875 (/ (+ (/ 0.5 (* x x)) 1.0) (fabs x))))))
double code(double x) {
return ((1.0 / cbrt(sqrt(((((double) M_PI) * ((double) M_PI)) * ((double) M_PI))))) * pow(exp(-x), -x)) * fma(pow(fabs(x), -5.0), 0.75, fma(pow(fabs(x), -7.0), 1.875, (((0.5 / (x * x)) + 1.0) / fabs(x))));
}
function code(x) return Float64(Float64(Float64(1.0 / cbrt(sqrt(Float64(Float64(pi * pi) * pi)))) * (exp(Float64(-x)) ^ Float64(-x))) * fma((abs(x) ^ -5.0), 0.75, fma((abs(x) ^ -7.0), 1.875, Float64(Float64(Float64(0.5 / Float64(x * x)) + 1.0) / abs(x))))) end
code[x_] := N[(N[(N[(1.0 / N[Power[N[Sqrt[N[(N[(Pi * Pi), $MachinePrecision] * Pi), $MachinePrecision]], $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision] * N[Power[N[Exp[(-x)], $MachinePrecision], (-x)], $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[Abs[x], $MachinePrecision], -5.0], $MachinePrecision] * 0.75 + N[(N[Power[N[Abs[x], $MachinePrecision], -7.0], $MachinePrecision] * 1.875 + N[(N[(N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{1}{\sqrt[3]{\sqrt{\left(\pi \cdot \pi\right) \cdot \pi}}} \cdot {\left(e^{-x}\right)}^{\left(-x\right)}\right) \cdot \mathsf{fma}\left({\left(\left|x\right|\right)}^{-5}, 0.75, \mathsf{fma}\left({\left(\left|x\right|\right)}^{-7}, 1.875, \frac{\frac{0.5}{x \cdot x} + 1}{\left|x\right|}\right)\right)
\end{array}
Initial program 100.0%
lift-exp.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-absN/A
sqr-neg-revN/A
exp-prodN/A
lower-pow.f64N/A
lower-exp.f64N/A
lower-neg.f64N/A
lower-neg.f64100.0
Applied rewrites100.0%
lift-PI.f64N/A
lift-sqrt.f64N/A
add-cbrt-cubeN/A
sqrt-cbrtN/A
lower-cbrt.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower-*.f64N/A
lift-PI.f64N/A
lift-PI.f64N/A
lift-PI.f64100.0
Applied rewrites100.0%
Taylor expanded in x around 0
Applied rewrites100.0%
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites100.0%
(FPCore (x) :precision binary64 (* (* (/ 1.0 (sqrt PI)) (pow (exp (- x)) (- x))) (fma 0.75 (/ 1.0 (* (* (* x x) (fabs x)) (* x x))) (fma (pow (fabs x) -7.0) 1.875 (/ (+ (/ 0.5 (* x x)) 1.0) (fabs x))))))
double code(double x) {
return ((1.0 / sqrt(((double) M_PI))) * pow(exp(-x), -x)) * fma(0.75, (1.0 / (((x * x) * fabs(x)) * (x * x))), fma(pow(fabs(x), -7.0), 1.875, (((0.5 / (x * x)) + 1.0) / fabs(x))));
}
function code(x) return Float64(Float64(Float64(1.0 / sqrt(pi)) * (exp(Float64(-x)) ^ Float64(-x))) * fma(0.75, Float64(1.0 / Float64(Float64(Float64(x * x) * abs(x)) * Float64(x * x))), fma((abs(x) ^ -7.0), 1.875, Float64(Float64(Float64(0.5 / Float64(x * x)) + 1.0) / abs(x))))) end
code[x_] := N[(N[(N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[Power[N[Exp[(-x)], $MachinePrecision], (-x)], $MachinePrecision]), $MachinePrecision] * N[(0.75 * N[(1.0 / N[(N[(N[(x * x), $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision] * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Power[N[Abs[x], $MachinePrecision], -7.0], $MachinePrecision] * 1.875 + N[(N[(N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{1}{\sqrt{\pi}} \cdot {\left(e^{-x}\right)}^{\left(-x\right)}\right) \cdot \mathsf{fma}\left(0.75, \frac{1}{\left(\left(x \cdot x\right) \cdot \left|x\right|\right) \cdot \left(x \cdot x\right)}, \mathsf{fma}\left({\left(\left|x\right|\right)}^{-7}, 1.875, \frac{\frac{0.5}{x \cdot x} + 1}{\left|x\right|}\right)\right)
\end{array}
Initial program 100.0%
lift-exp.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-absN/A
sqr-neg-revN/A
exp-prodN/A
lower-pow.f64N/A
lower-exp.f64N/A
lower-neg.f64N/A
lower-neg.f64100.0
Applied rewrites100.0%
Taylor expanded in x around 0
Applied rewrites100.0%
(FPCore (x) :precision binary64 (* (* (/ 1.0 (sqrt PI)) (pow (exp x) x)) (fma 0.75 (/ 1.0 (* (* (* x x) (fabs x)) (* x x))) (fma (pow (fabs x) -7.0) 1.875 (/ (+ (/ 0.5 (* x x)) 1.0) (fabs x))))))
double code(double x) {
return ((1.0 / sqrt(((double) M_PI))) * pow(exp(x), x)) * fma(0.75, (1.0 / (((x * x) * fabs(x)) * (x * x))), fma(pow(fabs(x), -7.0), 1.875, (((0.5 / (x * x)) + 1.0) / fabs(x))));
}
function code(x) return Float64(Float64(Float64(1.0 / sqrt(pi)) * (exp(x) ^ x)) * fma(0.75, Float64(1.0 / Float64(Float64(Float64(x * x) * abs(x)) * Float64(x * x))), fma((abs(x) ^ -7.0), 1.875, Float64(Float64(Float64(0.5 / Float64(x * x)) + 1.0) / abs(x))))) end
code[x_] := N[(N[(N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision]), $MachinePrecision] * N[(0.75 * N[(1.0 / N[(N[(N[(x * x), $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision] * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Power[N[Abs[x], $MachinePrecision], -7.0], $MachinePrecision] * 1.875 + N[(N[(N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{1}{\sqrt{\pi}} \cdot {\left(e^{x}\right)}^{x}\right) \cdot \mathsf{fma}\left(0.75, \frac{1}{\left(\left(x \cdot x\right) \cdot \left|x\right|\right) \cdot \left(x \cdot x\right)}, \mathsf{fma}\left({\left(\left|x\right|\right)}^{-7}, 1.875, \frac{\frac{0.5}{x \cdot x} + 1}{\left|x\right|}\right)\right)
\end{array}
Initial program 100.0%
lift-exp.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-absN/A
exp-prodN/A
lower-pow.f64N/A
lower-exp.f64100.0
Applied rewrites100.0%
Taylor expanded in x around 0
Applied rewrites100.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (* (* x x) x)))
(*
(/ 1.0 (sqrt PI))
(*
(exp (* x x))
(-
(fma
(pow (fabs x) -7.0)
1.875
(- (/ 1.0 (fabs x)) (/ -0.75 (* t_0 (* x x)))))
(/ -0.5 t_0))))))
double code(double x) {
double t_0 = (x * x) * x;
return (1.0 / sqrt(((double) M_PI))) * (exp((x * x)) * (fma(pow(fabs(x), -7.0), 1.875, ((1.0 / fabs(x)) - (-0.75 / (t_0 * (x * x))))) - (-0.5 / t_0)));
}
function code(x) t_0 = Float64(Float64(x * x) * x) return Float64(Float64(1.0 / sqrt(pi)) * Float64(exp(Float64(x * x)) * Float64(fma((abs(x) ^ -7.0), 1.875, Float64(Float64(1.0 / abs(x)) - Float64(-0.75 / Float64(t_0 * Float64(x * x))))) - Float64(-0.5 / t_0)))) end
code[x_] := Block[{t$95$0 = N[(N[(x * x), $MachinePrecision] * x), $MachinePrecision]}, N[(N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] * N[(N[(N[Power[N[Abs[x], $MachinePrecision], -7.0], $MachinePrecision] * 1.875 + N[(N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision] - N[(-0.75 / N[(t$95$0 * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(-0.5 / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(x \cdot x\right) \cdot x\\
\frac{1}{\sqrt{\pi}} \cdot \left(e^{x \cdot x} \cdot \left(\mathsf{fma}\left({\left(\left|x\right|\right)}^{-7}, 1.875, \frac{1}{\left|x\right|} - \frac{-0.75}{t\_0 \cdot \left(x \cdot x\right)}\right) - \frac{-0.5}{t\_0}\right)\right)
\end{array}
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Applied rewrites100.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (* (* x x) x)))
(*
(/ (exp (* x x)) (sqrt PI))
(fma
(pow (fabs x) -7.0)
1.875
(- (- (/ 1.0 (fabs x)) (/ -0.75 (* t_0 (* x x)))) (/ -0.5 t_0))))))
double code(double x) {
double t_0 = (x * x) * x;
return (exp((x * x)) / sqrt(((double) M_PI))) * fma(pow(fabs(x), -7.0), 1.875, (((1.0 / fabs(x)) - (-0.75 / (t_0 * (x * x)))) - (-0.5 / t_0)));
}
function code(x) t_0 = Float64(Float64(x * x) * x) return Float64(Float64(exp(Float64(x * x)) / sqrt(pi)) * fma((abs(x) ^ -7.0), 1.875, Float64(Float64(Float64(1.0 / abs(x)) - Float64(-0.75 / Float64(t_0 * Float64(x * x)))) - Float64(-0.5 / t_0)))) end
code[x_] := Block[{t$95$0 = N[(N[(x * x), $MachinePrecision] * x), $MachinePrecision]}, N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[Abs[x], $MachinePrecision], -7.0], $MachinePrecision] * 1.875 + N[(N[(N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision] - N[(-0.75 / N[(t$95$0 * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(-0.5 / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(x \cdot x\right) \cdot x\\
\frac{e^{x \cdot x}}{\sqrt{\pi}} \cdot \mathsf{fma}\left({\left(\left|x\right|\right)}^{-7}, 1.875, \left(\frac{1}{\left|x\right|} - \frac{-0.75}{t\_0 \cdot \left(x \cdot x\right)}\right) - \frac{-0.5}{t\_0}\right)
\end{array}
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Applied rewrites100.0%
Applied rewrites100.0%
(FPCore (x)
:precision binary64
(*
(/ 1.0 (sqrt PI))
(*
(exp (* x x))
(-
(/ 1.0 x)
(-
(/ (- (- (/ 0.75 (* x x)) -0.5)) (* (* x x) x))
(* (pow (fabs x) -7.0) 1.875))))))
double code(double x) {
return (1.0 / sqrt(((double) M_PI))) * (exp((x * x)) * ((1.0 / x) - ((-((0.75 / (x * x)) - -0.5) / ((x * x) * x)) - (pow(fabs(x), -7.0) * 1.875))));
}
public static double code(double x) {
return (1.0 / Math.sqrt(Math.PI)) * (Math.exp((x * x)) * ((1.0 / x) - ((-((0.75 / (x * x)) - -0.5) / ((x * x) * x)) - (Math.pow(Math.abs(x), -7.0) * 1.875))));
}
def code(x): return (1.0 / math.sqrt(math.pi)) * (math.exp((x * x)) * ((1.0 / x) - ((-((0.75 / (x * x)) - -0.5) / ((x * x) * x)) - (math.pow(math.fabs(x), -7.0) * 1.875))))
function code(x) return Float64(Float64(1.0 / sqrt(pi)) * Float64(exp(Float64(x * x)) * Float64(Float64(1.0 / x) - Float64(Float64(Float64(-Float64(Float64(0.75 / Float64(x * x)) - -0.5)) / Float64(Float64(x * x) * x)) - Float64((abs(x) ^ -7.0) * 1.875))))) end
function tmp = code(x) tmp = (1.0 / sqrt(pi)) * (exp((x * x)) * ((1.0 / x) - ((-((0.75 / (x * x)) - -0.5) / ((x * x) * x)) - ((abs(x) ^ -7.0) * 1.875)))); end
code[x_] := N[(N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] * N[(N[(1.0 / x), $MachinePrecision] - N[(N[((-N[(N[(0.75 / N[(x * x), $MachinePrecision]), $MachinePrecision] - -0.5), $MachinePrecision]) / N[(N[(x * x), $MachinePrecision] * x), $MachinePrecision]), $MachinePrecision] - N[(N[Power[N[Abs[x], $MachinePrecision], -7.0], $MachinePrecision] * 1.875), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{1}{\sqrt{\pi}} \cdot \left(e^{x \cdot x} \cdot \left(\frac{1}{x} - \left(\frac{-\left(\frac{0.75}{x \cdot x} - -0.5\right)}{\left(x \cdot x\right) \cdot x} - {\left(\left|x\right|\right)}^{-7} \cdot 1.875\right)\right)\right)
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around inf
metadata-evalN/A
lower--.f64N/A
Applied rewrites100.0%
Applied rewrites100.0%
(FPCore (x)
:precision binary64
(*
(/ (exp (+ 0.0 (* x x))) (sqrt PI))
(-
(/ 1.0 x)
(-
(/ (- (- (/ 0.75 (* x x)) -0.5)) (* (* x x) x))
(* (pow (fabs x) -7.0) 1.875)))))
double code(double x) {
return (exp((0.0 + (x * x))) / sqrt(((double) M_PI))) * ((1.0 / x) - ((-((0.75 / (x * x)) - -0.5) / ((x * x) * x)) - (pow(fabs(x), -7.0) * 1.875)));
}
public static double code(double x) {
return (Math.exp((0.0 + (x * x))) / Math.sqrt(Math.PI)) * ((1.0 / x) - ((-((0.75 / (x * x)) - -0.5) / ((x * x) * x)) - (Math.pow(Math.abs(x), -7.0) * 1.875)));
}
def code(x): return (math.exp((0.0 + (x * x))) / math.sqrt(math.pi)) * ((1.0 / x) - ((-((0.75 / (x * x)) - -0.5) / ((x * x) * x)) - (math.pow(math.fabs(x), -7.0) * 1.875)))
function code(x) return Float64(Float64(exp(Float64(0.0 + Float64(x * x))) / sqrt(pi)) * Float64(Float64(1.0 / x) - Float64(Float64(Float64(-Float64(Float64(0.75 / Float64(x * x)) - -0.5)) / Float64(Float64(x * x) * x)) - Float64((abs(x) ^ -7.0) * 1.875)))) end
function tmp = code(x) tmp = (exp((0.0 + (x * x))) / sqrt(pi)) * ((1.0 / x) - ((-((0.75 / (x * x)) - -0.5) / ((x * x) * x)) - ((abs(x) ^ -7.0) * 1.875))); end
code[x_] := N[(N[(N[Exp[N[(0.0 + N[(x * x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 / x), $MachinePrecision] - N[(N[((-N[(N[(0.75 / N[(x * x), $MachinePrecision]), $MachinePrecision] - -0.5), $MachinePrecision]) / N[(N[(x * x), $MachinePrecision] * x), $MachinePrecision]), $MachinePrecision] - N[(N[Power[N[Abs[x], $MachinePrecision], -7.0], $MachinePrecision] * 1.875), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{e^{0 + x \cdot x}}{\sqrt{\pi}} \cdot \left(\frac{1}{x} - \left(\frac{-\left(\frac{0.75}{x \cdot x} - -0.5\right)}{\left(x \cdot x\right) \cdot x} - {\left(\left|x\right|\right)}^{-7} \cdot 1.875\right)\right)
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around inf
metadata-evalN/A
lower--.f64N/A
Applied rewrites100.0%
Applied rewrites100.0%
(FPCore (x) :precision binary64 (* (* (/ 1.0 (sqrt PI)) (exp (* (fabs x) (fabs x)))) (- (/ 1.0 (fabs x)) (/ -0.75 (* (* (* x x) x) (* x x))))))
double code(double x) {
return ((1.0 / sqrt(((double) M_PI))) * exp((fabs(x) * fabs(x)))) * ((1.0 / fabs(x)) - (-0.75 / (((x * x) * x) * (x * x))));
}
public static double code(double x) {
return ((1.0 / Math.sqrt(Math.PI)) * Math.exp((Math.abs(x) * Math.abs(x)))) * ((1.0 / Math.abs(x)) - (-0.75 / (((x * x) * x) * (x * x))));
}
def code(x): return ((1.0 / math.sqrt(math.pi)) * math.exp((math.fabs(x) * math.fabs(x)))) * ((1.0 / math.fabs(x)) - (-0.75 / (((x * x) * x) * (x * x))))
function code(x) return Float64(Float64(Float64(1.0 / sqrt(pi)) * exp(Float64(abs(x) * abs(x)))) * Float64(Float64(1.0 / abs(x)) - Float64(-0.75 / Float64(Float64(Float64(x * x) * x) * Float64(x * x))))) end
function tmp = code(x) tmp = ((1.0 / sqrt(pi)) * exp((abs(x) * abs(x)))) * ((1.0 / abs(x)) - (-0.75 / (((x * x) * x) * (x * x)))); end
code[x_] := 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[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision] - N[(-0.75 / N[(N[(N[(x * x), $MachinePrecision] * x), $MachinePrecision] * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{1}{\sqrt{\pi}} \cdot e^{\left|x\right| \cdot \left|x\right|}\right) \cdot \left(\frac{1}{\left|x\right|} - \frac{-0.75}{\left(\left(x \cdot x\right) \cdot x\right) \cdot \left(x \cdot x\right)}\right)
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around 0
lower-/.f64N/A
metadata-evalN/A
pow-prod-upN/A
lower-*.f64N/A
pow3N/A
lift-*.f64N/A
lift-*.f64N/A
pow2N/A
lift-*.f6499.6
Applied rewrites99.6%
(FPCore (x) :precision binary64 (* (/ (exp (* x x)) (sqrt PI)) (fma (pow (fabs x) -7.0) 1.875 (/ 1.0 (fabs x)))))
double code(double x) {
return (exp((x * x)) / sqrt(((double) M_PI))) * fma(pow(fabs(x), -7.0), 1.875, (1.0 / fabs(x)));
}
function code(x) return Float64(Float64(exp(Float64(x * x)) / sqrt(pi)) * fma((abs(x) ^ -7.0), 1.875, Float64(1.0 / abs(x)))) end
code[x_] := N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[Abs[x], $MachinePrecision], -7.0], $MachinePrecision] * 1.875 + N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{e^{x \cdot x}}{\sqrt{\pi}} \cdot \mathsf{fma}\left({\left(\left|x\right|\right)}^{-7}, 1.875, \frac{1}{\left|x\right|}\right)
\end{array}
Initial program 100.0%
Applied rewrites99.6%
Taylor expanded in x around 0
lower-/.f64N/A
metadata-evalN/A
pow-prod-upN/A
lower-*.f64N/A
pow3N/A
lift-*.f64N/A
lift-*.f64N/A
pow2N/A
lift-*.f641.7
Applied rewrites1.7%
Taylor expanded in x around inf
Applied rewrites99.6%
(FPCore (x) :precision binary64 (/ (* (fma (pow (fabs x) -7.0) 1.875 (/ 1.0 x)) (exp (* x x))) (sqrt PI)))
double code(double x) {
return (fma(pow(fabs(x), -7.0), 1.875, (1.0 / x)) * exp((x * x))) / sqrt(((double) M_PI));
}
function code(x) return Float64(Float64(fma((abs(x) ^ -7.0), 1.875, Float64(1.0 / x)) * exp(Float64(x * x))) / sqrt(pi)) end
code[x_] := N[(N[(N[(N[Power[N[Abs[x], $MachinePrecision], -7.0], $MachinePrecision] * 1.875 + N[(1.0 / x), $MachinePrecision]), $MachinePrecision] * N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left({\left(\left|x\right|\right)}^{-7}, 1.875, \frac{1}{x}\right) \cdot e^{x \cdot x}}{\sqrt{\pi}}
\end{array}
Initial program 100.0%
Applied rewrites99.6%
Taylor expanded in x around 0
lower-/.f64N/A
metadata-evalN/A
pow-prod-upN/A
lower-*.f64N/A
pow3N/A
lift-*.f64N/A
lift-*.f64N/A
pow2N/A
lift-*.f641.7
Applied rewrites1.7%
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
pow3N/A
associate-*r*N/A
pow-plusN/A
metadata-evalN/A
metadata-evalN/A
pow-prod-upN/A
pow2-fabs-revN/A
pow2-fabs-revN/A
pow-prod-upN/A
metadata-evalN/A
lower-*.f64N/A
metadata-evalN/A
pow-prod-upN/A
pow2-fabs-revN/A
pow2-fabs-revN/A
pow-prod-upN/A
metadata-evalN/A
metadata-evalN/A
pow-plusN/A
lower-*.f64N/A
pow3N/A
lift-*.f64N/A
lift-*.f641.7
Applied rewrites1.7%
Taylor expanded in x around inf
metadata-evalN/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites99.6%
(FPCore (x) :precision binary64 (* (/ (exp (* x x)) (* (sqrt PI) (* (* x x) x))) (/ 0.75 (* x x))))
double code(double x) {
return (exp((x * x)) / (sqrt(((double) M_PI)) * ((x * x) * x))) * (0.75 / (x * x));
}
public static double code(double x) {
return (Math.exp((x * x)) / (Math.sqrt(Math.PI) * ((x * x) * x))) * (0.75 / (x * x));
}
def code(x): return (math.exp((x * x)) / (math.sqrt(math.pi) * ((x * x) * x))) * (0.75 / (x * x))
function code(x) return Float64(Float64(exp(Float64(x * x)) / Float64(sqrt(pi) * Float64(Float64(x * x) * x))) * Float64(0.75 / Float64(x * x))) end
function tmp = code(x) tmp = (exp((x * x)) / (sqrt(pi) * ((x * x) * x))) * (0.75 / (x * x)); end
code[x_] := N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[(N[Sqrt[Pi], $MachinePrecision] * N[(N[(x * x), $MachinePrecision] * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(0.75 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{e^{x \cdot x}}{\sqrt{\pi} \cdot \left(\left(x \cdot x\right) \cdot x\right)} \cdot \frac{0.75}{x \cdot x}
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around 0
Applied rewrites18.5%
lift-/.f64N/A
lift-/.f64N/A
associate-/l/N/A
lift-exp.f64N/A
lift-*.f64N/A
lift-+.f64N/A
pow2N/A
+-lft-identityN/A
lower-/.f64N/A
pow2N/A
lift-exp.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
Applied rewrites18.5%
metadata-evalN/A
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
lift-exp.f64N/A
lift-*.f64N/A
pow2N/A
lift-*.f64N/A
lift-*.f64N/A
pow2N/A
lower-*.f64N/A
associate-*r*N/A
times-fracN/A
Applied rewrites32.0%
(FPCore (x) :precision binary64 (* (/ (exp (* x x)) (* (sqrt PI) (* (* (* x x) x) (* x x)))) 0.75))
double code(double x) {
return (exp((x * x)) / (sqrt(((double) M_PI)) * (((x * x) * x) * (x * x)))) * 0.75;
}
public static double code(double x) {
return (Math.exp((x * x)) / (Math.sqrt(Math.PI) * (((x * x) * x) * (x * x)))) * 0.75;
}
def code(x): return (math.exp((x * x)) / (math.sqrt(math.pi) * (((x * x) * x) * (x * x)))) * 0.75
function code(x) return Float64(Float64(exp(Float64(x * x)) / Float64(sqrt(pi) * Float64(Float64(Float64(x * x) * x) * Float64(x * x)))) * 0.75) end
function tmp = code(x) tmp = (exp((x * x)) / (sqrt(pi) * (((x * x) * x) * (x * x)))) * 0.75; end
code[x_] := N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[(N[Sqrt[Pi], $MachinePrecision] * N[(N[(N[(x * x), $MachinePrecision] * x), $MachinePrecision] * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 0.75), $MachinePrecision]
\begin{array}{l}
\\
\frac{e^{x \cdot x}}{\sqrt{\pi} \cdot \left(\left(\left(x \cdot x\right) \cdot x\right) \cdot \left(x \cdot x\right)\right)} \cdot 0.75
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around 0
Applied rewrites18.5%
lift-/.f64N/A
lift-/.f64N/A
associate-/l/N/A
lift-exp.f64N/A
lift-*.f64N/A
lift-+.f64N/A
pow2N/A
+-lft-identityN/A
lower-/.f64N/A
pow2N/A
lift-exp.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
Applied rewrites18.5%
(FPCore (x) :precision binary64 (/ (/ 0.75 (* (* (* x x) x) (* x x))) (sqrt PI)))
double code(double x) {
return (0.75 / (((x * x) * x) * (x * x))) / sqrt(((double) M_PI));
}
public static double code(double x) {
return (0.75 / (((x * x) * x) * (x * x))) / Math.sqrt(Math.PI);
}
def code(x): return (0.75 / (((x * x) * x) * (x * x))) / math.sqrt(math.pi)
function code(x) return Float64(Float64(0.75 / Float64(Float64(Float64(x * x) * x) * Float64(x * x))) / sqrt(pi)) end
function tmp = code(x) tmp = (0.75 / (((x * x) * x) * (x * x))) / sqrt(pi); end
code[x_] := N[(N[(0.75 / N[(N[(N[(x * x), $MachinePrecision] * x), $MachinePrecision] * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{0.75}{\left(\left(x \cdot x\right) \cdot x\right) \cdot \left(x \cdot x\right)}}{\sqrt{\pi}}
\end{array}
Initial program 100.0%
Applied rewrites99.6%
Taylor expanded in x around 0
lower-/.f64N/A
metadata-evalN/A
pow-prod-upN/A
lower-*.f64N/A
pow3N/A
lift-*.f64N/A
lift-*.f64N/A
pow2N/A
lift-*.f641.7
Applied rewrites1.7%
herbie shell --seed 2025132
(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)))))))