
(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 12 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 (/ 1.0 (fabs x))) (t_1 (pow t_0 3.0)))
(*
(/ (pow (exp x) x) (expm1 (log1p (sqrt PI))))
(fma
1.875
(* t_1 (/ t_1 (fabs x)))
(fma 0.75 (+ (exp (log1p (/ (pow x -4.0) x))) -1.0) (fma 0.5 t_1 t_0))))))
double code(double x) {
double t_0 = 1.0 / fabs(x);
double t_1 = pow(t_0, 3.0);
return (pow(exp(x), x) / expm1(log1p(sqrt(((double) M_PI))))) * fma(1.875, (t_1 * (t_1 / fabs(x))), fma(0.75, (exp(log1p((pow(x, -4.0) / x))) + -1.0), fma(0.5, t_1, t_0)));
}
function code(x) t_0 = Float64(1.0 / abs(x)) t_1 = t_0 ^ 3.0 return Float64(Float64((exp(x) ^ x) / expm1(log1p(sqrt(pi)))) * fma(1.875, Float64(t_1 * Float64(t_1 / abs(x))), fma(0.75, Float64(exp(log1p(Float64((x ^ -4.0) / x))) + -1.0), fma(0.5, t_1, t_0)))) end
code[x_] := Block[{t$95$0 = N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Power[t$95$0, 3.0], $MachinePrecision]}, N[(N[(N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision] / N[(Exp[N[Log[1 + N[Sqrt[Pi], $MachinePrecision]], $MachinePrecision]] - 1), $MachinePrecision]), $MachinePrecision] * N[(1.875 * N[(t$95$1 * N[(t$95$1 / N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.75 * N[(N[Exp[N[Log[1 + N[(N[Power[x, -4.0], $MachinePrecision] / x), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] + -1.0), $MachinePrecision] + N[(0.5 * t$95$1 + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{1}{\left|x\right|}\\
t_1 := {t\_0}^{3}\\
\frac{{\left(e^{x}\right)}^{x}}{\mathsf{expm1}\left(\mathsf{log1p}\left(\sqrt{\pi}\right)\right)} \cdot \mathsf{fma}\left(1.875, t\_1 \cdot \frac{t\_1}{\left|x\right|}, \mathsf{fma}\left(0.75, e^{\mathsf{log1p}\left(\frac{{x}^{-4}}{x}\right)} + -1, \mathsf{fma}\left(0.5, t\_1, t\_0\right)\right)\right)
\end{array}
\end{array}
Initial program 99.9%
Simplified100.0%
expm1-log1p-u100.0%
expm1-undefine100.0%
div-inv100.0%
pow-plus100.0%
metadata-eval100.0%
inv-pow100.0%
pow-pow100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
metadata-eval100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
Applied egg-rr100.0%
expm1-log1p-u100.0%
expm1-undefine100.0%
Applied egg-rr100.0%
expm1-define100.0%
Simplified100.0%
Final simplification100.0%
(FPCore (x)
:precision binary64
(*
(exp (- (pow x 2.0) (log (sqrt PI))))
(fma
0.75
(pow x -5.0)
(fma
1.875
(+ (+ 1.0 (pow x -7.0)) -1.0)
(/ (+ 1.0 (/ 0.5 (* x x))) (fabs x))))))
double code(double x) {
return exp((pow(x, 2.0) - log(sqrt(((double) M_PI))))) * fma(0.75, pow(x, -5.0), fma(1.875, ((1.0 + pow(x, -7.0)) + -1.0), ((1.0 + (0.5 / (x * x))) / fabs(x))));
}
function code(x) return Float64(exp(Float64((x ^ 2.0) - log(sqrt(pi)))) * fma(0.75, (x ^ -5.0), fma(1.875, Float64(Float64(1.0 + (x ^ -7.0)) + -1.0), Float64(Float64(1.0 + Float64(0.5 / Float64(x * x))) / abs(x))))) end
code[x_] := N[(N[Exp[N[(N[Power[x, 2.0], $MachinePrecision] - N[Log[N[Sqrt[Pi], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(0.75 * N[Power[x, -5.0], $MachinePrecision] + N[(1.875 * N[(N[(1.0 + N[Power[x, -7.0], $MachinePrecision]), $MachinePrecision] + -1.0), $MachinePrecision] + N[(N[(1.0 + N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
e^{{x}^{2} - \log \left(\sqrt{\pi}\right)} \cdot \mathsf{fma}\left(0.75, {x}^{-5}, \mathsf{fma}\left(1.875, \left(1 + {x}^{-7}\right) + -1, \frac{1 + \frac{0.5}{x \cdot x}}{\left|x\right|}\right)\right)
\end{array}
Initial program 99.9%
Simplified99.9%
expm1-log1p-u99.9%
expm1-undefine99.9%
inv-pow99.9%
pow-pow99.9%
add-sqr-sqrt99.9%
fabs-sqr99.9%
add-sqr-sqrt99.9%
metadata-eval99.9%
Applied egg-rr99.9%
sub-neg99.9%
log1p-undefine99.9%
rem-exp-log99.9%
metadata-eval99.9%
Applied egg-rr99.9%
*-un-lft-identity99.9%
inv-pow99.9%
pow-pow99.9%
add-sqr-sqrt99.9%
fabs-sqr99.9%
add-sqr-sqrt99.9%
metadata-eval99.9%
Applied egg-rr99.9%
*-lft-identity99.9%
Simplified99.9%
add-exp-log100.0%
log-div100.0%
pow2100.0%
add-log-exp100.0%
Applied egg-rr100.0%
(FPCore (x) :precision binary64 (* (/ (pow (exp x) x) (sqrt PI)) (fma 0.75 (pow x -5.0) (fma 1.875 (pow x -7.0) (/ (+ 1.0 (/ 0.5 (* x x))) (fabs x))))))
double code(double x) {
return (pow(exp(x), x) / sqrt(((double) M_PI))) * fma(0.75, pow(x, -5.0), fma(1.875, pow(x, -7.0), ((1.0 + (0.5 / (x * x))) / fabs(x))));
}
function code(x) return Float64(Float64((exp(x) ^ x) / sqrt(pi)) * fma(0.75, (x ^ -5.0), fma(1.875, (x ^ -7.0), Float64(Float64(1.0 + Float64(0.5 / Float64(x * x))) / abs(x))))) end
code[x_] := N[(N[(N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(0.75 * N[Power[x, -5.0], $MachinePrecision] + N[(1.875 * N[Power[x, -7.0], $MachinePrecision] + N[(N[(1.0 + N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{{\left(e^{x}\right)}^{x}}{\sqrt{\pi}} \cdot \mathsf{fma}\left(0.75, {x}^{-5}, \mathsf{fma}\left(1.875, {x}^{-7}, \frac{1 + \frac{0.5}{x \cdot x}}{\left|x\right|}\right)\right)
\end{array}
Initial program 99.9%
Simplified99.9%
*-un-lft-identity99.9%
inv-pow99.9%
pow-pow99.9%
add-sqr-sqrt99.9%
fabs-sqr99.9%
add-sqr-sqrt99.9%
metadata-eval99.9%
Applied egg-rr99.9%
*-lft-identity99.9%
Simplified99.9%
*-un-lft-identity99.9%
inv-pow99.9%
pow-pow99.9%
add-sqr-sqrt99.9%
fabs-sqr99.9%
add-sqr-sqrt99.9%
metadata-eval99.9%
Applied egg-rr99.9%
*-lft-identity99.9%
Simplified99.9%
exp-prod100.0%
Applied egg-rr100.0%
(FPCore (x) :precision binary64 (* (/ (pow (exp x) x) (sqrt PI)) (+ (+ (* 0.75 (pow x -5.0)) (* 1.875 (pow x -7.0))) (/ (fma 0.5 (pow x -2.0) 1.0) x))))
double code(double x) {
return (pow(exp(x), x) / sqrt(((double) M_PI))) * (((0.75 * pow(x, -5.0)) + (1.875 * pow(x, -7.0))) + (fma(0.5, pow(x, -2.0), 1.0) / x));
}
function code(x) return Float64(Float64((exp(x) ^ x) / sqrt(pi)) * Float64(Float64(Float64(0.75 * (x ^ -5.0)) + Float64(1.875 * (x ^ -7.0))) + Float64(fma(0.5, (x ^ -2.0), 1.0) / x))) end
code[x_] := N[(N[(N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(0.75 * N[Power[x, -5.0], $MachinePrecision]), $MachinePrecision] + N[(1.875 * N[Power[x, -7.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(0.5 * N[Power[x, -2.0], $MachinePrecision] + 1.0), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{{\left(e^{x}\right)}^{x}}{\sqrt{\pi}} \cdot \left(\left(0.75 \cdot {x}^{-5} + 1.875 \cdot {x}^{-7}\right) + \frac{\mathsf{fma}\left(0.5, {x}^{-2}, 1\right)}{x}\right)
\end{array}
Initial program 99.9%
Simplified99.9%
*-un-lft-identity99.9%
inv-pow99.9%
pow-pow99.9%
add-sqr-sqrt99.9%
fabs-sqr99.9%
add-sqr-sqrt99.9%
metadata-eval99.9%
Applied egg-rr99.9%
*-lft-identity99.9%
Simplified99.9%
*-un-lft-identity99.9%
inv-pow99.9%
pow-pow99.9%
add-sqr-sqrt99.9%
fabs-sqr99.9%
add-sqr-sqrt99.9%
metadata-eval99.9%
Applied egg-rr99.9%
*-lft-identity99.9%
Simplified99.9%
exp-prod100.0%
Applied egg-rr100.0%
fma-undefine100.0%
fma-undefine100.0%
associate-+r+100.0%
+-commutative100.0%
pow2100.0%
div-inv100.0%
fma-define100.0%
pow-flip100.0%
metadata-eval100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
Applied egg-rr100.0%
(FPCore (x) :precision binary64 (* (+ (+ (* 0.75 (pow x -5.0)) (* 1.875 (pow x -7.0))) (/ (fma 0.5 (pow x -2.0) 1.0) x)) (/ (exp (* x x)) (sqrt PI))))
double code(double x) {
return (((0.75 * pow(x, -5.0)) + (1.875 * pow(x, -7.0))) + (fma(0.5, pow(x, -2.0), 1.0) / x)) * (exp((x * x)) / sqrt(((double) M_PI)));
}
function code(x) return Float64(Float64(Float64(Float64(0.75 * (x ^ -5.0)) + Float64(1.875 * (x ^ -7.0))) + Float64(fma(0.5, (x ^ -2.0), 1.0) / x)) * Float64(exp(Float64(x * x)) / sqrt(pi))) end
code[x_] := N[(N[(N[(N[(0.75 * N[Power[x, -5.0], $MachinePrecision]), $MachinePrecision] + N[(1.875 * N[Power[x, -7.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(0.5 * N[Power[x, -2.0], $MachinePrecision] + 1.0), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision] * N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(0.75 \cdot {x}^{-5} + 1.875 \cdot {x}^{-7}\right) + \frac{\mathsf{fma}\left(0.5, {x}^{-2}, 1\right)}{x}\right) \cdot \frac{e^{x \cdot x}}{\sqrt{\pi}}
\end{array}
Initial program 99.9%
Simplified99.9%
*-un-lft-identity99.9%
inv-pow99.9%
pow-pow99.9%
add-sqr-sqrt99.9%
fabs-sqr99.9%
add-sqr-sqrt99.9%
metadata-eval99.9%
Applied egg-rr99.9%
*-lft-identity99.9%
Simplified99.9%
*-un-lft-identity99.9%
inv-pow99.9%
pow-pow99.9%
add-sqr-sqrt99.9%
fabs-sqr99.9%
add-sqr-sqrt99.9%
metadata-eval99.9%
Applied egg-rr99.9%
*-lft-identity99.9%
Simplified99.9%
fma-undefine100.0%
fma-undefine100.0%
associate-+r+100.0%
+-commutative100.0%
pow2100.0%
div-inv100.0%
fma-define100.0%
pow-flip100.0%
metadata-eval100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
Applied egg-rr99.9%
Final simplification99.9%
(FPCore (x) :precision binary64 (* (/ (exp (* x x)) (sqrt PI)) (+ (/ 0.5 (* (fabs x) (pow x 2.0))) (+ (/ 1.0 (fabs x)) (/ 0.75 (pow x 5.0))))))
double code(double x) {
return (exp((x * x)) / sqrt(((double) M_PI))) * ((0.5 / (fabs(x) * pow(x, 2.0))) + ((1.0 / fabs(x)) + (0.75 / pow(x, 5.0))));
}
public static double code(double x) {
return (Math.exp((x * x)) / Math.sqrt(Math.PI)) * ((0.5 / (Math.abs(x) * Math.pow(x, 2.0))) + ((1.0 / Math.abs(x)) + (0.75 / Math.pow(x, 5.0))));
}
def code(x): return (math.exp((x * x)) / math.sqrt(math.pi)) * ((0.5 / (math.fabs(x) * math.pow(x, 2.0))) + ((1.0 / math.fabs(x)) + (0.75 / math.pow(x, 5.0))))
function code(x) return Float64(Float64(exp(Float64(x * x)) / sqrt(pi)) * Float64(Float64(0.5 / Float64(abs(x) * (x ^ 2.0))) + Float64(Float64(1.0 / abs(x)) + Float64(0.75 / (x ^ 5.0))))) end
function tmp = code(x) tmp = (exp((x * x)) / sqrt(pi)) * ((0.5 / (abs(x) * (x ^ 2.0))) + ((1.0 / 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[(0.5 / N[(N[Abs[x], $MachinePrecision] * N[Power[x, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision] + N[(0.75 / N[Power[x, 5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{e^{x \cdot x}}{\sqrt{\pi}} \cdot \left(\frac{0.5}{\left|x\right| \cdot {x}^{2}} + \left(\frac{1}{\left|x\right|} + \frac{0.75}{{x}^{5}}\right)\right)
\end{array}
Initial program 99.9%
Simplified99.9%
*-un-lft-identity99.9%
inv-pow99.9%
pow-pow99.9%
add-sqr-sqrt99.9%
fabs-sqr99.9%
add-sqr-sqrt99.9%
metadata-eval99.9%
Applied egg-rr99.9%
*-lft-identity99.9%
Simplified99.9%
*-un-lft-identity99.9%
inv-pow99.9%
pow-pow99.9%
add-sqr-sqrt99.9%
fabs-sqr99.9%
add-sqr-sqrt99.9%
metadata-eval99.9%
Applied egg-rr99.9%
*-lft-identity99.9%
Simplified99.9%
Taylor expanded in x around inf 99.0%
+-commutative99.0%
Simplified99.0%
Final simplification99.0%
(FPCore (x) :precision binary64 (* (/ (exp (* x x)) (sqrt PI)) (+ (/ 1.0 (fabs x)) (log (exp (/ 0.5 (pow x 3.0)))))))
double code(double x) {
return (exp((x * x)) / sqrt(((double) M_PI))) * ((1.0 / fabs(x)) + log(exp((0.5 / pow(x, 3.0)))));
}
public static double code(double x) {
return (Math.exp((x * x)) / Math.sqrt(Math.PI)) * ((1.0 / Math.abs(x)) + Math.log(Math.exp((0.5 / Math.pow(x, 3.0)))));
}
def code(x): return (math.exp((x * x)) / math.sqrt(math.pi)) * ((1.0 / math.fabs(x)) + math.log(math.exp((0.5 / math.pow(x, 3.0)))))
function code(x) return Float64(Float64(exp(Float64(x * x)) / sqrt(pi)) * Float64(Float64(1.0 / abs(x)) + log(exp(Float64(0.5 / (x ^ 3.0)))))) end
function tmp = code(x) tmp = (exp((x * x)) / sqrt(pi)) * ((1.0 / abs(x)) + log(exp((0.5 / (x ^ 3.0))))); end
code[x_] := N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision] + N[Log[N[Exp[N[(0.5 / N[Power[x, 3.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{e^{x \cdot x}}{\sqrt{\pi}} \cdot \left(\frac{1}{\left|x\right|} + \log \left(e^{\frac{0.5}{{x}^{3}}}\right)\right)
\end{array}
Initial program 99.9%
Simplified99.9%
*-un-lft-identity99.9%
inv-pow99.9%
pow-pow99.9%
add-sqr-sqrt99.9%
fabs-sqr99.9%
add-sqr-sqrt99.9%
metadata-eval99.9%
Applied egg-rr99.9%
*-lft-identity99.9%
Simplified99.9%
*-un-lft-identity99.9%
inv-pow99.9%
pow-pow99.9%
add-sqr-sqrt99.9%
fabs-sqr99.9%
add-sqr-sqrt99.9%
metadata-eval99.9%
Applied egg-rr99.9%
*-lft-identity99.9%
Simplified99.9%
Taylor expanded in x around inf 98.9%
associate-*r/98.9%
metadata-eval98.9%
Simplified98.9%
add-log-exp98.9%
pow298.9%
associate-/r*98.9%
add-sqr-sqrt98.9%
fabs-sqr98.9%
add-sqr-sqrt98.9%
associate-/r*98.9%
pow398.9%
Applied egg-rr98.9%
(FPCore (x) :precision binary64 (* (/ (exp (* x x)) (sqrt PI)) (+ (/ 1.0 (fabs x)) (/ 0.5 (pow x 3.0)))))
double code(double x) {
return (exp((x * x)) / sqrt(((double) M_PI))) * ((1.0 / fabs(x)) + (0.5 / pow(x, 3.0)));
}
public static double code(double x) {
return (Math.exp((x * x)) / Math.sqrt(Math.PI)) * ((1.0 / Math.abs(x)) + (0.5 / Math.pow(x, 3.0)));
}
def code(x): return (math.exp((x * x)) / math.sqrt(math.pi)) * ((1.0 / math.fabs(x)) + (0.5 / math.pow(x, 3.0)))
function code(x) return Float64(Float64(exp(Float64(x * x)) / sqrt(pi)) * Float64(Float64(1.0 / abs(x)) + Float64(0.5 / (x ^ 3.0)))) end
function tmp = code(x) tmp = (exp((x * x)) / sqrt(pi)) * ((1.0 / abs(x)) + (0.5 / (x ^ 3.0))); end
code[x_] := N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision] + N[(0.5 / N[Power[x, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{e^{x \cdot x}}{\sqrt{\pi}} \cdot \left(\frac{1}{\left|x\right|} + \frac{0.5}{{x}^{3}}\right)
\end{array}
Initial program 99.9%
Simplified99.9%
*-un-lft-identity99.9%
inv-pow99.9%
pow-pow99.9%
add-sqr-sqrt99.9%
fabs-sqr99.9%
add-sqr-sqrt99.9%
metadata-eval99.9%
Applied egg-rr99.9%
*-lft-identity99.9%
Simplified99.9%
*-un-lft-identity99.9%
inv-pow99.9%
pow-pow99.9%
add-sqr-sqrt99.9%
fabs-sqr99.9%
add-sqr-sqrt99.9%
metadata-eval99.9%
Applied egg-rr99.9%
*-lft-identity99.9%
Simplified99.9%
Taylor expanded in x around inf 98.9%
associate-*r/98.9%
metadata-eval98.9%
Simplified98.9%
expm1-log1p-u98.9%
expm1-undefine98.9%
pow298.9%
associate-/r*98.9%
add-sqr-sqrt98.9%
fabs-sqr98.9%
add-sqr-sqrt98.9%
associate-/r*98.9%
pow398.9%
Applied egg-rr98.9%
log1p-undefine98.9%
rem-exp-log98.9%
+-commutative98.9%
associate--l+98.9%
metadata-eval98.9%
+-commutative98.9%
+-lft-identity98.9%
Simplified98.9%
(FPCore (x) :precision binary64 (/ 1.0 (/ x (/ (exp (pow x 2.0)) (sqrt PI)))))
double code(double x) {
return 1.0 / (x / (exp(pow(x, 2.0)) / sqrt(((double) M_PI))));
}
public static double code(double x) {
return 1.0 / (x / (Math.exp(Math.pow(x, 2.0)) / Math.sqrt(Math.PI)));
}
def code(x): return 1.0 / (x / (math.exp(math.pow(x, 2.0)) / math.sqrt(math.pi)))
function code(x) return Float64(1.0 / Float64(x / Float64(exp((x ^ 2.0)) / sqrt(pi)))) end
function tmp = code(x) tmp = 1.0 / (x / (exp((x ^ 2.0)) / sqrt(pi))); end
code[x_] := N[(1.0 / N[(x / N[(N[Exp[N[Power[x, 2.0], $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{1}{\frac{x}{\frac{e^{{x}^{2}}}{\sqrt{\pi}}}}
\end{array}
Initial program 99.9%
Simplified99.9%
*-un-lft-identity99.9%
inv-pow99.9%
pow-pow99.9%
add-sqr-sqrt99.9%
fabs-sqr99.9%
add-sqr-sqrt99.9%
metadata-eval99.9%
Applied egg-rr99.9%
*-lft-identity99.9%
Simplified99.9%
*-un-lft-identity99.9%
inv-pow99.9%
pow-pow99.9%
add-sqr-sqrt99.9%
fabs-sqr99.9%
add-sqr-sqrt99.9%
metadata-eval99.9%
Applied egg-rr99.9%
*-lft-identity99.9%
Simplified99.9%
Taylor expanded in x around inf 98.8%
un-div-inv98.8%
add-sqr-sqrt98.8%
fabs-sqr98.8%
add-sqr-sqrt98.8%
clear-num98.8%
pow298.8%
Applied egg-rr98.8%
(FPCore (x) :precision binary64 (/ (/ (exp (pow x 2.0)) x) (sqrt PI)))
double code(double x) {
return (exp(pow(x, 2.0)) / x) / sqrt(((double) M_PI));
}
public static double code(double x) {
return (Math.exp(Math.pow(x, 2.0)) / x) / Math.sqrt(Math.PI);
}
def code(x): return (math.exp(math.pow(x, 2.0)) / x) / math.sqrt(math.pi)
function code(x) return Float64(Float64(exp((x ^ 2.0)) / x) / sqrt(pi)) end
function tmp = code(x) tmp = (exp((x ^ 2.0)) / x) / sqrt(pi); end
code[x_] := N[(N[(N[Exp[N[Power[x, 2.0], $MachinePrecision]], $MachinePrecision] / x), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{e^{{x}^{2}}}{x}}{\sqrt{\pi}}
\end{array}
Initial program 99.9%
Simplified99.9%
*-un-lft-identity99.9%
inv-pow99.9%
pow-pow99.9%
add-sqr-sqrt99.9%
fabs-sqr99.9%
add-sqr-sqrt99.9%
metadata-eval99.9%
Applied egg-rr99.9%
*-lft-identity99.9%
Simplified99.9%
*-un-lft-identity99.9%
inv-pow99.9%
pow-pow99.9%
add-sqr-sqrt99.9%
fabs-sqr99.9%
add-sqr-sqrt99.9%
metadata-eval99.9%
Applied egg-rr99.9%
*-lft-identity99.9%
Simplified99.9%
Taylor expanded in x around inf 98.8%
expm1-log1p-u98.8%
expm1-undefine98.8%
un-div-inv98.8%
add-sqr-sqrt98.8%
fabs-sqr98.8%
add-sqr-sqrt98.8%
associate-/l/98.0%
pow298.0%
Applied egg-rr98.0%
sub-neg98.0%
metadata-eval98.0%
+-commutative98.0%
log1p-undefine98.0%
rem-exp-log98.0%
associate-+r+98.0%
metadata-eval98.0%
metadata-eval98.0%
associate--r-98.0%
neg-sub098.0%
distribute-frac-neg98.0%
neg-sub098.0%
distribute-frac-neg98.0%
remove-double-neg98.0%
associate-/r*98.8%
Simplified98.8%
(FPCore (x) :precision binary64 (* (fma x x 1.0) (/ (sqrt (/ 1.0 PI)) x)))
double code(double x) {
return fma(x, x, 1.0) * (sqrt((1.0 / ((double) M_PI))) / x);
}
function code(x) return Float64(fma(x, x, 1.0) * Float64(sqrt(Float64(1.0 / pi)) / x)) end
code[x_] := N[(N[(x * x + 1.0), $MachinePrecision] * N[(N[Sqrt[N[(1.0 / Pi), $MachinePrecision]], $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\mathsf{fma}\left(x, x, 1\right) \cdot \frac{\sqrt{\frac{1}{\pi}}}{x}
\end{array}
Initial program 99.9%
Simplified99.9%
*-un-lft-identity99.9%
inv-pow99.9%
pow-pow99.9%
add-sqr-sqrt99.9%
fabs-sqr99.9%
add-sqr-sqrt99.9%
metadata-eval99.9%
Applied egg-rr99.9%
*-lft-identity99.9%
Simplified99.9%
*-un-lft-identity99.9%
inv-pow99.9%
pow-pow99.9%
add-sqr-sqrt99.9%
fabs-sqr99.9%
add-sqr-sqrt99.9%
metadata-eval99.9%
Applied egg-rr99.9%
*-lft-identity99.9%
Simplified99.9%
Taylor expanded in x around inf 98.8%
Taylor expanded in x around 0 49.0%
associate-*l/49.0%
*-commutative49.0%
associate-*l/49.0%
*-rgt-identity49.0%
associate-*r/49.0%
*-commutative49.0%
distribute-rgt1-in49.0%
unpow249.0%
fma-define49.0%
associate-*r/49.0%
*-rgt-identity49.0%
rem-square-sqrt49.0%
fabs-sqr49.0%
rem-square-sqrt49.0%
Simplified49.0%
(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 99.9%
Simplified99.9%
*-un-lft-identity99.9%
inv-pow99.9%
pow-pow99.9%
add-sqr-sqrt99.9%
fabs-sqr99.9%
add-sqr-sqrt99.9%
metadata-eval99.9%
Applied egg-rr99.9%
*-lft-identity99.9%
Simplified99.9%
*-un-lft-identity99.9%
inv-pow99.9%
pow-pow99.9%
add-sqr-sqrt99.9%
fabs-sqr99.9%
add-sqr-sqrt99.9%
metadata-eval99.9%
Applied egg-rr99.9%
*-lft-identity99.9%
Simplified99.9%
Taylor expanded in x around inf 98.8%
Taylor expanded in x around 0 2.4%
associate-*r/2.4%
*-rgt-identity2.4%
rem-square-sqrt2.4%
fabs-sqr2.4%
rem-square-sqrt2.4%
Simplified2.4%
herbie shell --seed 2024106
(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)))))))