
(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 10 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 (* (+ (* (fma 0.5 (pow x -2.0) 1.0) (/ 1.0 x)) (* (+ (+ 1.0 (pow x -5.0)) -1.0) (+ 0.75 (/ (/ 1.875 x) x)))) (/ (pow (exp x) x) (sqrt PI))))
double code(double x) {
return ((fma(0.5, pow(x, -2.0), 1.0) * (1.0 / x)) + (((1.0 + pow(x, -5.0)) + -1.0) * (0.75 + ((1.875 / x) / x)))) * (pow(exp(x), x) / sqrt(((double) M_PI)));
}
function code(x) return Float64(Float64(Float64(fma(0.5, (x ^ -2.0), 1.0) * Float64(1.0 / x)) + Float64(Float64(Float64(1.0 + (x ^ -5.0)) + -1.0) * Float64(0.75 + Float64(Float64(1.875 / x) / x)))) * Float64((exp(x) ^ x) / sqrt(pi))) end
code[x_] := N[(N[(N[(N[(0.5 * N[Power[x, -2.0], $MachinePrecision] + 1.0), $MachinePrecision] * N[(1.0 / x), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(1.0 + N[Power[x, -5.0], $MachinePrecision]), $MachinePrecision] + -1.0), $MachinePrecision] * N[(0.75 + N[(N[(1.875 / x), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\mathsf{fma}\left(0.5, {x}^{-2}, 1\right) \cdot \frac{1}{x} + \left(\left(1 + {x}^{-5}\right) + -1\right) \cdot \left(0.75 + \frac{\frac{1.875}{x}}{x}\right)\right) \cdot \frac{{\left(e^{x}\right)}^{x}}{\sqrt{\pi}}
\end{array}
Initial program 100.0%
Simplified100.0%
expm1-log1p-u100.0%
expm1-udef100.0%
inv-pow100.0%
pow-pow100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
metadata-eval100.0%
Applied egg-rr100.0%
sub-neg100.0%
log1p-udef100.0%
add-exp-log100.0%
+-commutative100.0%
metadata-eval100.0%
Applied egg-rr100.0%
div-inv100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
+-commutative100.0%
div-inv100.0%
fma-def100.0%
pow2100.0%
pow-flip100.0%
metadata-eval100.0%
Applied egg-rr100.0%
Final simplification100.0%
(FPCore (x) :precision binary64 (* (/ (pow (exp x) x) (sqrt PI)) (+ (* (+ (+ 1.0 (pow x -5.0)) -1.0) (+ 0.75 (/ (/ 1.875 x) x))) (+ (/ 1.0 x) (/ 0.5 (pow x 3.0))))))
double code(double x) {
return (pow(exp(x), x) / sqrt(((double) M_PI))) * ((((1.0 + pow(x, -5.0)) + -1.0) * (0.75 + ((1.875 / x) / x))) + ((1.0 / x) + (0.5 / pow(x, 3.0))));
}
public static double code(double x) {
return (Math.pow(Math.exp(x), x) / Math.sqrt(Math.PI)) * ((((1.0 + Math.pow(x, -5.0)) + -1.0) * (0.75 + ((1.875 / x) / x))) + ((1.0 / x) + (0.5 / Math.pow(x, 3.0))));
}
def code(x): return (math.pow(math.exp(x), x) / math.sqrt(math.pi)) * ((((1.0 + math.pow(x, -5.0)) + -1.0) * (0.75 + ((1.875 / x) / x))) + ((1.0 / x) + (0.5 / math.pow(x, 3.0))))
function code(x) return Float64(Float64((exp(x) ^ x) / sqrt(pi)) * Float64(Float64(Float64(Float64(1.0 + (x ^ -5.0)) + -1.0) * Float64(0.75 + Float64(Float64(1.875 / x) / x))) + Float64(Float64(1.0 / x) + Float64(0.5 / (x ^ 3.0))))) end
function tmp = code(x) tmp = ((exp(x) ^ x) / sqrt(pi)) * ((((1.0 + (x ^ -5.0)) + -1.0) * (0.75 + ((1.875 / x) / x))) + ((1.0 / x) + (0.5 / (x ^ 3.0)))); end
code[x_] := N[(N[(N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(1.0 + N[Power[x, -5.0], $MachinePrecision]), $MachinePrecision] + -1.0), $MachinePrecision] * N[(0.75 + N[(N[(1.875 / x), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 / x), $MachinePrecision] + N[(0.5 / N[Power[x, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{{\left(e^{x}\right)}^{x}}{\sqrt{\pi}} \cdot \left(\left(\left(1 + {x}^{-5}\right) + -1\right) \cdot \left(0.75 + \frac{\frac{1.875}{x}}{x}\right) + \left(\frac{1}{x} + \frac{0.5}{{x}^{3}}\right)\right)
\end{array}
Initial program 100.0%
Simplified100.0%
expm1-log1p-u100.0%
expm1-udef100.0%
inv-pow100.0%
pow-pow100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
metadata-eval100.0%
Applied egg-rr100.0%
sub-neg100.0%
log1p-udef100.0%
add-exp-log100.0%
+-commutative100.0%
metadata-eval100.0%
Applied egg-rr100.0%
Taylor expanded in x around 0 100.0%
+-commutative99.8%
associate-*r/99.8%
metadata-eval99.8%
unpow199.8%
metadata-eval99.8%
pow-sqr99.8%
unpow1/299.8%
unpow1/299.8%
fabs-sqr99.8%
unpow1/299.8%
unpow1/299.8%
pow-sqr99.8%
metadata-eval99.8%
unpow199.8%
pow-plus99.8%
metadata-eval99.8%
unpow199.8%
metadata-eval99.8%
pow-sqr99.8%
unpow1/299.8%
unpow1/299.8%
fabs-sqr99.8%
Simplified100.0%
Final simplification100.0%
(FPCore (x) :precision binary64 (* (/ (pow (exp x) x) (sqrt PI)) (+ (+ (/ 1.0 x) (/ 0.5 (pow x 3.0))) (* (pow x -5.0) (+ 0.75 (/ (/ 1.875 x) x))))))
double code(double x) {
return (pow(exp(x), x) / sqrt(((double) M_PI))) * (((1.0 / x) + (0.5 / pow(x, 3.0))) + (pow(x, -5.0) * (0.75 + ((1.875 / x) / x))));
}
public static double code(double x) {
return (Math.pow(Math.exp(x), x) / Math.sqrt(Math.PI)) * (((1.0 / x) + (0.5 / Math.pow(x, 3.0))) + (Math.pow(x, -5.0) * (0.75 + ((1.875 / x) / x))));
}
def code(x): return (math.pow(math.exp(x), x) / math.sqrt(math.pi)) * (((1.0 / x) + (0.5 / math.pow(x, 3.0))) + (math.pow(x, -5.0) * (0.75 + ((1.875 / x) / x))))
function code(x) return Float64(Float64((exp(x) ^ x) / sqrt(pi)) * Float64(Float64(Float64(1.0 / x) + Float64(0.5 / (x ^ 3.0))) + Float64((x ^ -5.0) * Float64(0.75 + Float64(Float64(1.875 / x) / x))))) end
function tmp = code(x) tmp = ((exp(x) ^ x) / sqrt(pi)) * (((1.0 / x) + (0.5 / (x ^ 3.0))) + ((x ^ -5.0) * (0.75 + ((1.875 / x) / x)))); end
code[x_] := N[(N[(N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(1.0 / x), $MachinePrecision] + N[(0.5 / N[Power[x, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Power[x, -5.0], $MachinePrecision] * N[(0.75 + N[(N[(1.875 / x), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{{\left(e^{x}\right)}^{x}}{\sqrt{\pi}} \cdot \left(\left(\frac{1}{x} + \frac{0.5}{{x}^{3}}\right) + {x}^{-5} \cdot \left(0.75 + \frac{\frac{1.875}{x}}{x}\right)\right)
\end{array}
Initial program 100.0%
Simplified100.0%
expm1-log1p-u100.0%
expm1-udef100.0%
inv-pow100.0%
pow-pow100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
metadata-eval100.0%
Applied egg-rr100.0%
sub-neg100.0%
log1p-udef100.0%
add-exp-log100.0%
+-commutative100.0%
metadata-eval100.0%
Applied egg-rr100.0%
Taylor expanded in x around 0 100.0%
+-commutative99.8%
associate-*r/99.8%
metadata-eval99.8%
unpow199.8%
metadata-eval99.8%
pow-sqr99.8%
unpow1/299.8%
unpow1/299.8%
fabs-sqr99.8%
unpow1/299.8%
unpow1/299.8%
pow-sqr99.8%
metadata-eval99.8%
unpow199.8%
pow-plus99.8%
metadata-eval99.8%
unpow199.8%
metadata-eval99.8%
pow-sqr99.8%
unpow1/299.8%
unpow1/299.8%
fabs-sqr99.8%
Simplified100.0%
*-commutative100.0%
associate-+l+100.0%
metadata-eval100.0%
metadata-eval100.0%
distribute-lft-in100.0%
*-commutative100.0%
*-un-lft-identity100.0%
*-un-lft-identity100.0%
associate-/l/100.0%
associate-/l/100.0%
metadata-eval100.0%
Applied egg-rr100.0%
mul0-rgt100.0%
+-rgt-identity100.0%
associate-/r*100.0%
Simplified100.0%
Final simplification100.0%
(FPCore (x) :precision binary64 (* (+ (* (+ (+ 1.0 (pow x -5.0)) -1.0) (+ 0.75 (/ (/ 1.875 x) x))) (+ (/ 1.0 x) (/ 0.5 (pow x 3.0)))) (/ (exp (* x x)) (sqrt PI))))
double code(double x) {
return ((((1.0 + pow(x, -5.0)) + -1.0) * (0.75 + ((1.875 / x) / x))) + ((1.0 / x) + (0.5 / pow(x, 3.0)))) * (exp((x * x)) / sqrt(((double) M_PI)));
}
public static double code(double x) {
return ((((1.0 + Math.pow(x, -5.0)) + -1.0) * (0.75 + ((1.875 / x) / x))) + ((1.0 / x) + (0.5 / Math.pow(x, 3.0)))) * (Math.exp((x * x)) / Math.sqrt(Math.PI));
}
def code(x): return ((((1.0 + math.pow(x, -5.0)) + -1.0) * (0.75 + ((1.875 / x) / x))) + ((1.0 / x) + (0.5 / math.pow(x, 3.0)))) * (math.exp((x * x)) / math.sqrt(math.pi))
function code(x) return Float64(Float64(Float64(Float64(Float64(1.0 + (x ^ -5.0)) + -1.0) * Float64(0.75 + Float64(Float64(1.875 / x) / x))) + Float64(Float64(1.0 / x) + Float64(0.5 / (x ^ 3.0)))) * Float64(exp(Float64(x * x)) / sqrt(pi))) end
function tmp = code(x) tmp = ((((1.0 + (x ^ -5.0)) + -1.0) * (0.75 + ((1.875 / x) / x))) + ((1.0 / x) + (0.5 / (x ^ 3.0)))) * (exp((x * x)) / sqrt(pi)); end
code[x_] := N[(N[(N[(N[(N[(1.0 + N[Power[x, -5.0], $MachinePrecision]), $MachinePrecision] + -1.0), $MachinePrecision] * N[(0.75 + N[(N[(1.875 / x), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 / x), $MachinePrecision] + N[(0.5 / N[Power[x, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(1 + {x}^{-5}\right) + -1\right) \cdot \left(0.75 + \frac{\frac{1.875}{x}}{x}\right) + \left(\frac{1}{x} + \frac{0.5}{{x}^{3}}\right)\right) \cdot \frac{e^{x \cdot x}}{\sqrt{\pi}}
\end{array}
Initial program 100.0%
Simplified100.0%
expm1-log1p-u100.0%
expm1-udef100.0%
inv-pow100.0%
pow-pow100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
metadata-eval100.0%
Applied egg-rr100.0%
sub-neg100.0%
log1p-udef100.0%
add-exp-log100.0%
+-commutative100.0%
metadata-eval100.0%
Applied egg-rr100.0%
Taylor expanded in x around 0 100.0%
+-commutative99.8%
associate-*r/99.8%
metadata-eval99.8%
unpow199.8%
metadata-eval99.8%
pow-sqr99.8%
unpow1/299.8%
unpow1/299.8%
fabs-sqr99.8%
unpow1/299.8%
unpow1/299.8%
pow-sqr99.8%
metadata-eval99.8%
unpow199.8%
pow-plus99.8%
metadata-eval99.8%
unpow199.8%
metadata-eval99.8%
pow-sqr99.8%
unpow1/299.8%
unpow1/299.8%
fabs-sqr99.8%
Simplified100.0%
pow-exp99.7%
Applied egg-rr100.0%
Final simplification100.0%
(FPCore (x) :precision binary64 (* (/ (exp (* x x)) (sqrt PI)) (+ (+ (/ 1.0 x) (/ 0.5 (pow x 3.0))) (/ 0.75 (pow x 5.0)))))
double code(double x) {
return (exp((x * x)) / sqrt(((double) M_PI))) * (((1.0 / x) + (0.5 / pow(x, 3.0))) + (0.75 / pow(x, 5.0)));
}
public static double code(double x) {
return (Math.exp((x * x)) / Math.sqrt(Math.PI)) * (((1.0 / x) + (0.5 / Math.pow(x, 3.0))) + (0.75 / Math.pow(x, 5.0)));
}
def code(x): return (math.exp((x * x)) / math.sqrt(math.pi)) * (((1.0 / x) + (0.5 / math.pow(x, 3.0))) + (0.75 / math.pow(x, 5.0)))
function code(x) return Float64(Float64(exp(Float64(x * x)) / sqrt(pi)) * Float64(Float64(Float64(1.0 / x) + Float64(0.5 / (x ^ 3.0))) + Float64(0.75 / (x ^ 5.0)))) end
function tmp = code(x) tmp = (exp((x * x)) / sqrt(pi)) * (((1.0 / x) + (0.5 / (x ^ 3.0))) + (0.75 / (x ^ 5.0))); end
code[x_] := N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(1.0 / x), $MachinePrecision] + N[(0.5 / N[Power[x, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.75 / N[Power[x, 5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{e^{x \cdot x}}{\sqrt{\pi}} \cdot \left(\left(\frac{1}{x} + \frac{0.5}{{x}^{3}}\right) + \frac{0.75}{{x}^{5}}\right)
\end{array}
Initial program 100.0%
Simplified100.0%
Taylor expanded in x around 0 100.0%
sqr-pow100.0%
associate-/r*100.0%
unpow1100.0%
metadata-eval100.0%
pow-sqr100.0%
unpow1/2100.0%
unpow1/2100.0%
fabs-sqr100.0%
unpow1/2100.0%
unpow1/2100.0%
pow-sqr100.0%
metadata-eval100.0%
unpow1100.0%
metadata-eval100.0%
exp-to-pow100.0%
exp-neg100.0%
distribute-rgt-neg-in100.0%
metadata-eval100.0%
exp-to-pow100.0%
*-rgt-identity100.0%
Simplified100.0%
Taylor expanded in x around inf 99.8%
Taylor expanded in x around 0 99.8%
+-commutative99.8%
associate-*r/99.8%
metadata-eval99.8%
unpow199.8%
metadata-eval99.8%
pow-sqr99.8%
unpow1/299.8%
unpow1/299.8%
fabs-sqr99.8%
unpow1/299.8%
unpow1/299.8%
pow-sqr99.8%
metadata-eval99.8%
unpow199.8%
pow-plus99.8%
metadata-eval99.8%
unpow199.8%
metadata-eval99.8%
pow-sqr99.8%
unpow1/299.8%
unpow1/299.8%
fabs-sqr99.8%
Simplified99.8%
pow-exp99.7%
Applied egg-rr99.8%
Final simplification99.8%
(FPCore (x) :precision binary64 (* (/ (exp (* x x)) (sqrt PI)) (+ (/ 1.0 x) (* (+ (+ 1.0 (pow x -5.0)) -1.0) (+ 0.75 (/ (/ 1.875 x) x))))))
double code(double x) {
return (exp((x * x)) / sqrt(((double) M_PI))) * ((1.0 / x) + (((1.0 + pow(x, -5.0)) + -1.0) * (0.75 + ((1.875 / x) / x))));
}
public static double code(double x) {
return (Math.exp((x * x)) / Math.sqrt(Math.PI)) * ((1.0 / x) + (((1.0 + Math.pow(x, -5.0)) + -1.0) * (0.75 + ((1.875 / x) / x))));
}
def code(x): return (math.exp((x * x)) / math.sqrt(math.pi)) * ((1.0 / x) + (((1.0 + math.pow(x, -5.0)) + -1.0) * (0.75 + ((1.875 / x) / x))))
function code(x) return Float64(Float64(exp(Float64(x * x)) / sqrt(pi)) * Float64(Float64(1.0 / x) + Float64(Float64(Float64(1.0 + (x ^ -5.0)) + -1.0) * Float64(0.75 + Float64(Float64(1.875 / x) / x))))) end
function tmp = code(x) tmp = (exp((x * x)) / sqrt(pi)) * ((1.0 / x) + (((1.0 + (x ^ -5.0)) + -1.0) * (0.75 + ((1.875 / x) / x)))); end
code[x_] := N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 / x), $MachinePrecision] + N[(N[(N[(1.0 + N[Power[x, -5.0], $MachinePrecision]), $MachinePrecision] + -1.0), $MachinePrecision] * N[(0.75 + N[(N[(1.875 / x), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{e^{x \cdot x}}{\sqrt{\pi}} \cdot \left(\frac{1}{x} + \left(\left(1 + {x}^{-5}\right) + -1\right) \cdot \left(0.75 + \frac{\frac{1.875}{x}}{x}\right)\right)
\end{array}
Initial program 100.0%
Simplified100.0%
expm1-log1p-u100.0%
expm1-udef100.0%
inv-pow100.0%
pow-pow100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
metadata-eval100.0%
Applied egg-rr100.0%
sub-neg100.0%
log1p-udef100.0%
add-exp-log100.0%
+-commutative100.0%
metadata-eval100.0%
Applied egg-rr100.0%
Taylor expanded in x around inf 99.7%
unpow199.7%
metadata-eval99.7%
pow-sqr99.7%
unpow1/299.7%
unpow1/299.7%
fabs-sqr99.7%
unpow1/299.7%
unpow1/299.7%
pow-sqr99.7%
metadata-eval99.7%
unpow199.7%
Simplified99.7%
pow-exp99.7%
Applied egg-rr99.7%
Final simplification99.7%
(FPCore (x) :precision binary64 (* (/ (exp (* x x)) (sqrt PI)) (+ (/ 1.0 x) (/ 0.75 (pow x 5.0)))))
double code(double x) {
return (exp((x * x)) / sqrt(((double) M_PI))) * ((1.0 / x) + (0.75 / pow(x, 5.0)));
}
public static double code(double x) {
return (Math.exp((x * x)) / Math.sqrt(Math.PI)) * ((1.0 / x) + (0.75 / Math.pow(x, 5.0)));
}
def code(x): return (math.exp((x * x)) / math.sqrt(math.pi)) * ((1.0 / x) + (0.75 / math.pow(x, 5.0)))
function code(x) return Float64(Float64(exp(Float64(x * x)) / sqrt(pi)) * Float64(Float64(1.0 / x) + Float64(0.75 / (x ^ 5.0)))) end
function tmp = code(x) tmp = (exp((x * x)) / sqrt(pi)) * ((1.0 / 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[(1.0 / x), $MachinePrecision] + N[(0.75 / N[Power[x, 5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{e^{x \cdot x}}{\sqrt{\pi}} \cdot \left(\frac{1}{x} + \frac{0.75}{{x}^{5}}\right)
\end{array}
Initial program 100.0%
Simplified100.0%
Taylor expanded in x around 0 100.0%
sqr-pow100.0%
associate-/r*100.0%
unpow1100.0%
metadata-eval100.0%
pow-sqr100.0%
unpow1/2100.0%
unpow1/2100.0%
fabs-sqr100.0%
unpow1/2100.0%
unpow1/2100.0%
pow-sqr100.0%
metadata-eval100.0%
unpow1100.0%
metadata-eval100.0%
exp-to-pow100.0%
exp-neg100.0%
distribute-rgt-neg-in100.0%
metadata-eval100.0%
exp-to-pow100.0%
*-rgt-identity100.0%
Simplified100.0%
Taylor expanded in x around inf 99.8%
Taylor expanded in x around inf 99.7%
unpow199.7%
metadata-eval99.7%
pow-sqr99.7%
unpow1/299.7%
unpow1/299.7%
fabs-sqr99.7%
unpow1/299.7%
unpow1/299.7%
pow-sqr99.7%
metadata-eval99.7%
unpow199.7%
Simplified99.7%
pow-exp99.7%
Applied egg-rr99.7%
Final simplification99.7%
(FPCore (x) :precision binary64 (* (+ (/ 1.0 x) (* (+ (+ 1.0 (pow x -5.0)) -1.0) (+ 0.75 (/ (/ 1.875 x) x)))) (/ (+ 1.0 (* x x)) (sqrt PI))))
double code(double x) {
return ((1.0 / x) + (((1.0 + pow(x, -5.0)) + -1.0) * (0.75 + ((1.875 / x) / x)))) * ((1.0 + (x * x)) / sqrt(((double) M_PI)));
}
public static double code(double x) {
return ((1.0 / x) + (((1.0 + Math.pow(x, -5.0)) + -1.0) * (0.75 + ((1.875 / x) / x)))) * ((1.0 + (x * x)) / Math.sqrt(Math.PI));
}
def code(x): return ((1.0 / x) + (((1.0 + math.pow(x, -5.0)) + -1.0) * (0.75 + ((1.875 / x) / x)))) * ((1.0 + (x * x)) / math.sqrt(math.pi))
function code(x) return Float64(Float64(Float64(1.0 / x) + Float64(Float64(Float64(1.0 + (x ^ -5.0)) + -1.0) * Float64(0.75 + Float64(Float64(1.875 / x) / x)))) * Float64(Float64(1.0 + Float64(x * x)) / sqrt(pi))) end
function tmp = code(x) tmp = ((1.0 / x) + (((1.0 + (x ^ -5.0)) + -1.0) * (0.75 + ((1.875 / x) / x)))) * ((1.0 + (x * x)) / sqrt(pi)); end
code[x_] := N[(N[(N[(1.0 / x), $MachinePrecision] + N[(N[(N[(1.0 + N[Power[x, -5.0], $MachinePrecision]), $MachinePrecision] + -1.0), $MachinePrecision] * N[(0.75 + N[(N[(1.875 / x), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 + N[(x * x), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{1}{x} + \left(\left(1 + {x}^{-5}\right) + -1\right) \cdot \left(0.75 + \frac{\frac{1.875}{x}}{x}\right)\right) \cdot \frac{1 + x \cdot x}{\sqrt{\pi}}
\end{array}
Initial program 100.0%
Simplified100.0%
expm1-log1p-u100.0%
expm1-udef100.0%
inv-pow100.0%
pow-pow100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
metadata-eval100.0%
Applied egg-rr100.0%
sub-neg100.0%
log1p-udef100.0%
add-exp-log100.0%
+-commutative100.0%
metadata-eval100.0%
Applied egg-rr100.0%
Taylor expanded in x around inf 99.7%
unpow199.7%
metadata-eval99.7%
pow-sqr99.7%
unpow1/299.7%
unpow1/299.7%
fabs-sqr99.7%
unpow1/299.7%
unpow1/299.7%
pow-sqr99.7%
metadata-eval99.7%
unpow199.7%
Simplified99.7%
Taylor expanded in x around 0 51.6%
unpow251.6%
Simplified51.6%
Final simplification51.6%
(FPCore (x) :precision binary64 (* (+ (/ 1.0 x) (/ 0.75 (pow x 5.0))) (/ (+ 1.0 (* x x)) (sqrt PI))))
double code(double x) {
return ((1.0 / x) + (0.75 / pow(x, 5.0))) * ((1.0 + (x * x)) / sqrt(((double) M_PI)));
}
public static double code(double x) {
return ((1.0 / x) + (0.75 / Math.pow(x, 5.0))) * ((1.0 + (x * x)) / Math.sqrt(Math.PI));
}
def code(x): return ((1.0 / x) + (0.75 / math.pow(x, 5.0))) * ((1.0 + (x * x)) / math.sqrt(math.pi))
function code(x) return Float64(Float64(Float64(1.0 / x) + Float64(0.75 / (x ^ 5.0))) * Float64(Float64(1.0 + Float64(x * x)) / sqrt(pi))) end
function tmp = code(x) tmp = ((1.0 / x) + (0.75 / (x ^ 5.0))) * ((1.0 + (x * x)) / sqrt(pi)); end
code[x_] := N[(N[(N[(1.0 / x), $MachinePrecision] + N[(0.75 / N[Power[x, 5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 + N[(x * x), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{1}{x} + \frac{0.75}{{x}^{5}}\right) \cdot \frac{1 + x \cdot x}{\sqrt{\pi}}
\end{array}
Initial program 100.0%
Simplified100.0%
Taylor expanded in x around 0 100.0%
sqr-pow100.0%
associate-/r*100.0%
unpow1100.0%
metadata-eval100.0%
pow-sqr100.0%
unpow1/2100.0%
unpow1/2100.0%
fabs-sqr100.0%
unpow1/2100.0%
unpow1/2100.0%
pow-sqr100.0%
metadata-eval100.0%
unpow1100.0%
metadata-eval100.0%
exp-to-pow100.0%
exp-neg100.0%
distribute-rgt-neg-in100.0%
metadata-eval100.0%
exp-to-pow100.0%
*-rgt-identity100.0%
Simplified100.0%
Taylor expanded in x around inf 99.8%
Taylor expanded in x around inf 99.7%
unpow199.7%
metadata-eval99.7%
pow-sqr99.7%
unpow1/299.7%
unpow1/299.7%
fabs-sqr99.7%
unpow1/299.7%
unpow1/299.7%
pow-sqr99.7%
metadata-eval99.7%
unpow199.7%
Simplified99.7%
Taylor expanded in x around 0 51.6%
unpow251.6%
Simplified51.6%
Final simplification51.6%
(FPCore (x) :precision binary64 (* (+ (/ 1.0 x) (/ 0.75 (pow x 5.0))) (/ 1.0 (sqrt PI))))
double code(double x) {
return ((1.0 / x) + (0.75 / pow(x, 5.0))) * (1.0 / sqrt(((double) M_PI)));
}
public static double code(double x) {
return ((1.0 / x) + (0.75 / Math.pow(x, 5.0))) * (1.0 / Math.sqrt(Math.PI));
}
def code(x): return ((1.0 / x) + (0.75 / math.pow(x, 5.0))) * (1.0 / math.sqrt(math.pi))
function code(x) return Float64(Float64(Float64(1.0 / x) + Float64(0.75 / (x ^ 5.0))) * Float64(1.0 / sqrt(pi))) end
function tmp = code(x) tmp = ((1.0 / x) + (0.75 / (x ^ 5.0))) * (1.0 / sqrt(pi)); end
code[x_] := N[(N[(N[(1.0 / x), $MachinePrecision] + N[(0.75 / N[Power[x, 5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{1}{x} + \frac{0.75}{{x}^{5}}\right) \cdot \frac{1}{\sqrt{\pi}}
\end{array}
Initial program 100.0%
Simplified100.0%
Taylor expanded in x around 0 100.0%
sqr-pow100.0%
associate-/r*100.0%
unpow1100.0%
metadata-eval100.0%
pow-sqr100.0%
unpow1/2100.0%
unpow1/2100.0%
fabs-sqr100.0%
unpow1/2100.0%
unpow1/2100.0%
pow-sqr100.0%
metadata-eval100.0%
unpow1100.0%
metadata-eval100.0%
exp-to-pow100.0%
exp-neg100.0%
distribute-rgt-neg-in100.0%
metadata-eval100.0%
exp-to-pow100.0%
*-rgt-identity100.0%
Simplified100.0%
Taylor expanded in x around inf 99.8%
Taylor expanded in x around inf 99.7%
unpow199.7%
metadata-eval99.7%
pow-sqr99.7%
unpow1/299.7%
unpow1/299.7%
fabs-sqr99.7%
unpow1/299.7%
unpow1/299.7%
pow-sqr99.7%
metadata-eval99.7%
unpow199.7%
Simplified99.7%
Taylor expanded in x around 0 2.3%
Final simplification2.3%
herbie shell --seed 2023285
(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)))))))