
(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 (* (/ (pow (exp x) x) (* x (sqrt PI))) (+ (/ 0.75 (pow x 4.0)) (+ 1.0 (+ (/ 0.5 (* x x)) (/ 1.875 (pow (fabs x) 6.0)))))))
double code(double x) {
return (pow(exp(x), x) / (x * sqrt(((double) M_PI)))) * ((0.75 / pow(x, 4.0)) + (1.0 + ((0.5 / (x * x)) + (1.875 / pow(fabs(x), 6.0)))));
}
public static double code(double x) {
return (Math.pow(Math.exp(x), x) / (x * Math.sqrt(Math.PI))) * ((0.75 / Math.pow(x, 4.0)) + (1.0 + ((0.5 / (x * x)) + (1.875 / Math.pow(Math.abs(x), 6.0)))));
}
def code(x): return (math.pow(math.exp(x), x) / (x * math.sqrt(math.pi))) * ((0.75 / math.pow(x, 4.0)) + (1.0 + ((0.5 / (x * x)) + (1.875 / math.pow(math.fabs(x), 6.0)))))
function code(x) return Float64(Float64((exp(x) ^ x) / Float64(x * sqrt(pi))) * Float64(Float64(0.75 / (x ^ 4.0)) + Float64(1.0 + Float64(Float64(0.5 / Float64(x * x)) + Float64(1.875 / (abs(x) ^ 6.0)))))) end
function tmp = code(x) tmp = ((exp(x) ^ x) / (x * sqrt(pi))) * ((0.75 / (x ^ 4.0)) + (1.0 + ((0.5 / (x * x)) + (1.875 / (abs(x) ^ 6.0))))); end
code[x_] := N[(N[(N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision] / N[(x * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(0.75 / N[Power[x, 4.0], $MachinePrecision]), $MachinePrecision] + N[(1.0 + N[(N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision] + N[(1.875 / N[Power[N[Abs[x], $MachinePrecision], 6.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{{\left(e^{x}\right)}^{x}}{x \cdot \sqrt{\pi}} \cdot \left(\frac{0.75}{{x}^{4}} + \left(1 + \left(\frac{0.5}{x \cdot x} + \frac{1.875}{{\left(\left|x\right|\right)}^{6}}\right)\right)\right)
\end{array}
Initial program 100.0%
Simplified100.0%
add-sqr-sqrt100.0%
sqrt-div100.0%
sqrt-pow1100.0%
metadata-eval100.0%
pow2100.0%
sqr-abs100.0%
sqrt-div100.0%
sqrt-pow1100.0%
metadata-eval100.0%
pow2100.0%
sqr-abs100.0%
Applied egg-rr100.0%
associate-*l/100.0%
associate-*r/100.0%
rem-square-sqrt100.0%
associate-/r*100.0%
associate-*r*100.0%
unpow3100.0%
pow-plus100.0%
metadata-eval100.0%
Simplified100.0%
add-log-exp1.6%
*-un-lft-identity1.6%
log-prod1.6%
metadata-eval1.6%
add-log-exp100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
*-commutative100.0%
Applied egg-rr100.0%
+-lft-identity100.0%
*-commutative100.0%
Simplified100.0%
Final simplification100.0%
(FPCore (x) :precision binary64 (* (+ (/ (+ 1.0 (/ 0.5 (* x x))) (fabs x)) (* (pow x -5.0) (+ 0.75 (/ (/ 1.875 x) x)))) (/ (pow (exp x) x) (sqrt PI))))
double code(double x) {
return (((1.0 + (0.5 / (x * x))) / fabs(x)) + (pow(x, -5.0) * (0.75 + ((1.875 / x) / x)))) * (pow(exp(x), x) / sqrt(((double) M_PI)));
}
public static double code(double x) {
return (((1.0 + (0.5 / (x * x))) / Math.abs(x)) + (Math.pow(x, -5.0) * (0.75 + ((1.875 / x) / x)))) * (Math.pow(Math.exp(x), x) / Math.sqrt(Math.PI));
}
def code(x): return (((1.0 + (0.5 / (x * x))) / math.fabs(x)) + (math.pow(x, -5.0) * (0.75 + ((1.875 / x) / x)))) * (math.pow(math.exp(x), x) / math.sqrt(math.pi))
function code(x) return Float64(Float64(Float64(Float64(1.0 + Float64(0.5 / Float64(x * x))) / abs(x)) + Float64((x ^ -5.0) * Float64(0.75 + Float64(Float64(1.875 / x) / x)))) * Float64((exp(x) ^ x) / sqrt(pi))) end
function tmp = code(x) tmp = (((1.0 + (0.5 / (x * x))) / abs(x)) + ((x ^ -5.0) * (0.75 + ((1.875 / x) / x)))) * ((exp(x) ^ x) / sqrt(pi)); end
code[x_] := N[(N[(N[(N[(1.0 + N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision] + N[(N[Power[x, -5.0], $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(\frac{1 + \frac{0.5}{x \cdot x}}{\left|x\right|} + {x}^{-5} \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%
add-log-exp100.0%
*-un-lft-identity100.0%
log-prod100.0%
metadata-eval100.0%
add-log-exp100.0%
inv-pow100.0%
pow-pow100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
metadata-eval100.0%
Applied egg-rr100.0%
+-lft-identity100.0%
Simplified100.0%
Final simplification100.0%
(FPCore (x) :precision binary64 (* (/ (pow (exp x) x) (* x (sqrt PI))) (+ (/ 0.75 (pow x 4.0)) (+ (/ 0.5 (* x x)) (+ 1.0 (/ 1.875 (pow x 6.0)))))))
double code(double x) {
return (pow(exp(x), x) / (x * sqrt(((double) M_PI)))) * ((0.75 / pow(x, 4.0)) + ((0.5 / (x * x)) + (1.0 + (1.875 / pow(x, 6.0)))));
}
public static double code(double x) {
return (Math.pow(Math.exp(x), x) / (x * Math.sqrt(Math.PI))) * ((0.75 / Math.pow(x, 4.0)) + ((0.5 / (x * x)) + (1.0 + (1.875 / Math.pow(x, 6.0)))));
}
def code(x): return (math.pow(math.exp(x), x) / (x * math.sqrt(math.pi))) * ((0.75 / math.pow(x, 4.0)) + ((0.5 / (x * x)) + (1.0 + (1.875 / math.pow(x, 6.0)))))
function code(x) return Float64(Float64((exp(x) ^ x) / Float64(x * sqrt(pi))) * Float64(Float64(0.75 / (x ^ 4.0)) + Float64(Float64(0.5 / Float64(x * x)) + Float64(1.0 + Float64(1.875 / (x ^ 6.0)))))) end
function tmp = code(x) tmp = ((exp(x) ^ x) / (x * sqrt(pi))) * ((0.75 / (x ^ 4.0)) + ((0.5 / (x * x)) + (1.0 + (1.875 / (x ^ 6.0))))); end
code[x_] := N[(N[(N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision] / N[(x * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(0.75 / N[Power[x, 4.0], $MachinePrecision]), $MachinePrecision] + N[(N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision] + N[(1.0 + N[(1.875 / N[Power[x, 6.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{{\left(e^{x}\right)}^{x}}{x \cdot \sqrt{\pi}} \cdot \left(\frac{0.75}{{x}^{4}} + \left(\frac{0.5}{x \cdot x} + \left(1 + \frac{1.875}{{x}^{6}}\right)\right)\right)
\end{array}
Initial program 100.0%
Simplified100.0%
add-sqr-sqrt100.0%
sqrt-div100.0%
sqrt-pow1100.0%
metadata-eval100.0%
pow2100.0%
sqr-abs100.0%
sqrt-div100.0%
sqrt-pow1100.0%
metadata-eval100.0%
pow2100.0%
sqr-abs100.0%
Applied egg-rr100.0%
associate-*l/100.0%
associate-*r/100.0%
rem-square-sqrt100.0%
associate-/r*100.0%
associate-*r*100.0%
unpow3100.0%
pow-plus100.0%
metadata-eval100.0%
Simplified100.0%
add-log-exp1.6%
*-un-lft-identity1.6%
log-prod1.6%
metadata-eval1.6%
add-log-exp100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
*-commutative100.0%
Applied egg-rr100.0%
+-lft-identity100.0%
*-commutative100.0%
Simplified100.0%
Final simplification100.0%
(FPCore (x) :precision binary64 (* (+ (/ 0.75 (pow x 4.0)) (+ (/ 0.5 (* x x)) (+ 1.0 (/ 1.875 (pow x 6.0))))) (/ (exp (* x x)) (* x (sqrt PI)))))
double code(double x) {
return ((0.75 / pow(x, 4.0)) + ((0.5 / (x * x)) + (1.0 + (1.875 / pow(x, 6.0))))) * (exp((x * x)) / (x * sqrt(((double) M_PI))));
}
public static double code(double x) {
return ((0.75 / Math.pow(x, 4.0)) + ((0.5 / (x * x)) + (1.0 + (1.875 / Math.pow(x, 6.0))))) * (Math.exp((x * x)) / (x * Math.sqrt(Math.PI)));
}
def code(x): return ((0.75 / math.pow(x, 4.0)) + ((0.5 / (x * x)) + (1.0 + (1.875 / math.pow(x, 6.0))))) * (math.exp((x * x)) / (x * math.sqrt(math.pi)))
function code(x) return Float64(Float64(Float64(0.75 / (x ^ 4.0)) + Float64(Float64(0.5 / Float64(x * x)) + Float64(1.0 + Float64(1.875 / (x ^ 6.0))))) * Float64(exp(Float64(x * x)) / Float64(x * sqrt(pi)))) end
function tmp = code(x) tmp = ((0.75 / (x ^ 4.0)) + ((0.5 / (x * x)) + (1.0 + (1.875 / (x ^ 6.0))))) * (exp((x * x)) / (x * sqrt(pi))); end
code[x_] := N[(N[(N[(0.75 / N[Power[x, 4.0], $MachinePrecision]), $MachinePrecision] + N[(N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision] + N[(1.0 + N[(1.875 / N[Power[x, 6.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[(x * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{0.75}{{x}^{4}} + \left(\frac{0.5}{x \cdot x} + \left(1 + \frac{1.875}{{x}^{6}}\right)\right)\right) \cdot \frac{e^{x \cdot x}}{x \cdot \sqrt{\pi}}
\end{array}
Initial program 100.0%
Simplified100.0%
add-sqr-sqrt100.0%
sqrt-div100.0%
sqrt-pow1100.0%
metadata-eval100.0%
pow2100.0%
sqr-abs100.0%
sqrt-div100.0%
sqrt-pow1100.0%
metadata-eval100.0%
pow2100.0%
sqr-abs100.0%
Applied egg-rr100.0%
associate-*l/100.0%
associate-*r/100.0%
rem-square-sqrt100.0%
associate-/r*100.0%
associate-*r*100.0%
unpow3100.0%
pow-plus100.0%
metadata-eval100.0%
Simplified100.0%
add-log-exp1.6%
*-un-lft-identity1.6%
log-prod1.6%
metadata-eval1.6%
add-log-exp100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
*-commutative100.0%
Applied egg-rr100.0%
+-lft-identity100.0%
*-commutative100.0%
Simplified100.0%
Taylor expanded in x around inf 100.0%
unpow299.2%
Simplified100.0%
Final simplification100.0%
(FPCore (x) :precision binary64 (* (+ (/ (+ 1.0 (/ 0.5 (* x x))) (fabs x)) (/ 0.75 (pow x 5.0))) (/ (exp (* x x)) (sqrt PI))))
double code(double x) {
return (((1.0 + (0.5 / (x * x))) / fabs(x)) + (0.75 / pow(x, 5.0))) * (exp((x * x)) / sqrt(((double) M_PI)));
}
public static double code(double x) {
return (((1.0 + (0.5 / (x * x))) / Math.abs(x)) + (0.75 / Math.pow(x, 5.0))) * (Math.exp((x * x)) / Math.sqrt(Math.PI));
}
def code(x): return (((1.0 + (0.5 / (x * x))) / math.fabs(x)) + (0.75 / math.pow(x, 5.0))) * (math.exp((x * x)) / math.sqrt(math.pi))
function code(x) return Float64(Float64(Float64(Float64(1.0 + Float64(0.5 / Float64(x * x))) / abs(x)) + Float64(0.75 / (x ^ 5.0))) * Float64(exp(Float64(x * x)) / sqrt(pi))) end
function tmp = code(x) tmp = (((1.0 + (0.5 / (x * x))) / abs(x)) + (0.75 / (x ^ 5.0))) * (exp((x * x)) / sqrt(pi)); end
code[x_] := N[(N[(N[(N[(1.0 + N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision] + N[(0.75 / N[Power[x, 5.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{1 + \frac{0.5}{x \cdot x}}{\left|x\right|} + \frac{0.75}{{x}^{5}}\right) \cdot \frac{e^{x \cdot x}}{\sqrt{\pi}}
\end{array}
Initial program 100.0%
Simplified100.0%
add-log-exp100.0%
*-un-lft-identity100.0%
log-prod100.0%
metadata-eval100.0%
add-log-exp100.0%
inv-pow100.0%
pow-pow100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
metadata-eval100.0%
Applied egg-rr100.0%
+-lft-identity100.0%
Simplified100.0%
Taylor expanded in x around inf 99.2%
Taylor expanded in x around inf 99.2%
unpow299.2%
Simplified99.2%
Final simplification99.2%
(FPCore (x) :precision binary64 (* (+ (/ 0.75 (pow x 4.0)) (+ (/ 0.5 (* x x)) (+ 1.0 (/ 1.875 (pow x 6.0))))) (/ (+ 1.0 (* x x)) (* x (sqrt PI)))))
double code(double x) {
return ((0.75 / pow(x, 4.0)) + ((0.5 / (x * x)) + (1.0 + (1.875 / pow(x, 6.0))))) * ((1.0 + (x * x)) / (x * sqrt(((double) M_PI))));
}
public static double code(double x) {
return ((0.75 / Math.pow(x, 4.0)) + ((0.5 / (x * x)) + (1.0 + (1.875 / Math.pow(x, 6.0))))) * ((1.0 + (x * x)) / (x * Math.sqrt(Math.PI)));
}
def code(x): return ((0.75 / math.pow(x, 4.0)) + ((0.5 / (x * x)) + (1.0 + (1.875 / math.pow(x, 6.0))))) * ((1.0 + (x * x)) / (x * math.sqrt(math.pi)))
function code(x) return Float64(Float64(Float64(0.75 / (x ^ 4.0)) + Float64(Float64(0.5 / Float64(x * x)) + Float64(1.0 + Float64(1.875 / (x ^ 6.0))))) * Float64(Float64(1.0 + Float64(x * x)) / Float64(x * sqrt(pi)))) end
function tmp = code(x) tmp = ((0.75 / (x ^ 4.0)) + ((0.5 / (x * x)) + (1.0 + (1.875 / (x ^ 6.0))))) * ((1.0 + (x * x)) / (x * sqrt(pi))); end
code[x_] := N[(N[(N[(0.75 / N[Power[x, 4.0], $MachinePrecision]), $MachinePrecision] + N[(N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision] + N[(1.0 + N[(1.875 / N[Power[x, 6.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 + N[(x * x), $MachinePrecision]), $MachinePrecision] / N[(x * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{0.75}{{x}^{4}} + \left(\frac{0.5}{x \cdot x} + \left(1 + \frac{1.875}{{x}^{6}}\right)\right)\right) \cdot \frac{1 + x \cdot x}{x \cdot \sqrt{\pi}}
\end{array}
Initial program 100.0%
Simplified100.0%
add-sqr-sqrt100.0%
sqrt-div100.0%
sqrt-pow1100.0%
metadata-eval100.0%
pow2100.0%
sqr-abs100.0%
sqrt-div100.0%
sqrt-pow1100.0%
metadata-eval100.0%
pow2100.0%
sqr-abs100.0%
Applied egg-rr100.0%
associate-*l/100.0%
associate-*r/100.0%
rem-square-sqrt100.0%
associate-/r*100.0%
associate-*r*100.0%
unpow3100.0%
pow-plus100.0%
metadata-eval100.0%
Simplified100.0%
add-log-exp1.6%
*-un-lft-identity1.6%
log-prod1.6%
metadata-eval1.6%
add-log-exp100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
*-commutative100.0%
Applied egg-rr100.0%
+-lft-identity100.0%
*-commutative100.0%
Simplified100.0%
Taylor expanded in x around 0 50.1%
unpow250.1%
Simplified50.1%
Final simplification50.1%
(FPCore (x) :precision binary64 (* (+ (/ (+ 1.0 (/ 0.5 (* x x))) (fabs x)) (/ 0.75 (pow x 5.0))) (/ (+ 1.0 (* x x)) (sqrt PI))))
double code(double x) {
return (((1.0 + (0.5 / (x * x))) / fabs(x)) + (0.75 / pow(x, 5.0))) * ((1.0 + (x * x)) / sqrt(((double) M_PI)));
}
public static double code(double x) {
return (((1.0 + (0.5 / (x * x))) / Math.abs(x)) + (0.75 / Math.pow(x, 5.0))) * ((1.0 + (x * x)) / Math.sqrt(Math.PI));
}
def code(x): return (((1.0 + (0.5 / (x * x))) / math.fabs(x)) + (0.75 / math.pow(x, 5.0))) * ((1.0 + (x * x)) / math.sqrt(math.pi))
function code(x) return Float64(Float64(Float64(Float64(1.0 + Float64(0.5 / Float64(x * x))) / abs(x)) + Float64(0.75 / (x ^ 5.0))) * Float64(Float64(1.0 + Float64(x * x)) / sqrt(pi))) end
function tmp = code(x) tmp = (((1.0 + (0.5 / (x * x))) / abs(x)) + (0.75 / (x ^ 5.0))) * ((1.0 + (x * x)) / sqrt(pi)); end
code[x_] := N[(N[(N[(N[(1.0 + N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Abs[x], $MachinePrecision]), $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 + \frac{0.5}{x \cdot x}}{\left|x\right|} + \frac{0.75}{{x}^{5}}\right) \cdot \frac{1 + x \cdot x}{\sqrt{\pi}}
\end{array}
Initial program 100.0%
Simplified100.0%
add-log-exp100.0%
*-un-lft-identity100.0%
log-prod100.0%
metadata-eval100.0%
add-log-exp100.0%
inv-pow100.0%
pow-pow100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
metadata-eval100.0%
Applied egg-rr100.0%
+-lft-identity100.0%
Simplified100.0%
Taylor expanded in x around inf 99.2%
Taylor expanded in x around 0 50.1%
unpow250.1%
Simplified50.1%
Final simplification50.1%
(FPCore (x) :precision binary64 (* (sqrt (/ 1.0 PI)) (+ (/ 1.5 x) (/ (* x x) x))))
double code(double x) {
return sqrt((1.0 / ((double) M_PI))) * ((1.5 / x) + ((x * x) / x));
}
public static double code(double x) {
return Math.sqrt((1.0 / Math.PI)) * ((1.5 / x) + ((x * x) / x));
}
def code(x): return math.sqrt((1.0 / math.pi)) * ((1.5 / x) + ((x * x) / x))
function code(x) return Float64(sqrt(Float64(1.0 / pi)) * Float64(Float64(1.5 / x) + Float64(Float64(x * x) / x))) end
function tmp = code(x) tmp = sqrt((1.0 / pi)) * ((1.5 / x) + ((x * x) / x)); end
code[x_] := N[(N[Sqrt[N[(1.0 / Pi), $MachinePrecision]], $MachinePrecision] * N[(N[(1.5 / x), $MachinePrecision] + N[(N[(x * x), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt{\frac{1}{\pi}} \cdot \left(\frac{1.5}{x} + \frac{x \cdot x}{x}\right)
\end{array}
Initial program 100.0%
Simplified100.0%
add-log-exp100.0%
*-un-lft-identity100.0%
log-prod100.0%
metadata-eval100.0%
add-log-exp100.0%
inv-pow100.0%
pow-pow100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
metadata-eval100.0%
Applied egg-rr100.0%
+-lft-identity100.0%
Simplified100.0%
Taylor expanded in x around inf 99.2%
Taylor expanded in x around 0 50.1%
unpow250.1%
Simplified50.1%
Taylor expanded in x around inf 50.1%
associate-*r*50.1%
distribute-rgt-out50.1%
associate-*r/50.1%
metadata-eval50.1%
unpow150.1%
sqr-pow50.1%
fabs-sqr50.1%
sqr-pow50.1%
unpow150.1%
unpow250.1%
unpow150.1%
sqr-pow50.1%
fabs-sqr50.1%
sqr-pow50.1%
unpow150.1%
Simplified50.1%
Final simplification50.1%
(FPCore (x) :precision binary64 (* (sqrt (/ 1.0 PI)) (/ (* x x) x)))
double code(double x) {
return sqrt((1.0 / ((double) M_PI))) * ((x * x) / x);
}
public static double code(double x) {
return Math.sqrt((1.0 / Math.PI)) * ((x * x) / x);
}
def code(x): return math.sqrt((1.0 / math.pi)) * ((x * x) / x)
function code(x) return Float64(sqrt(Float64(1.0 / pi)) * Float64(Float64(x * x) / x)) end
function tmp = code(x) tmp = sqrt((1.0 / pi)) * ((x * x) / x); end
code[x_] := N[(N[Sqrt[N[(1.0 / Pi), $MachinePrecision]], $MachinePrecision] * N[(N[(x * x), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt{\frac{1}{\pi}} \cdot \frac{x \cdot x}{x}
\end{array}
Initial program 100.0%
Simplified100.0%
add-log-exp100.0%
*-un-lft-identity100.0%
log-prod100.0%
metadata-eval100.0%
add-log-exp100.0%
inv-pow100.0%
pow-pow100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
metadata-eval100.0%
Applied egg-rr100.0%
+-lft-identity100.0%
Simplified100.0%
Taylor expanded in x around inf 99.2%
Taylor expanded in x around 0 50.1%
unpow250.1%
Simplified50.1%
Taylor expanded in x around inf 50.1%
*-commutative50.1%
unpow250.1%
unpow150.1%
sqr-pow50.1%
fabs-sqr50.1%
sqr-pow50.1%
unpow150.1%
Simplified50.1%
Final simplification50.1%
(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 100.0%
Simplified100.0%
add-log-exp100.0%
*-un-lft-identity100.0%
log-prod100.0%
metadata-eval100.0%
add-log-exp100.0%
inv-pow100.0%
pow-pow100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
metadata-eval100.0%
Applied egg-rr100.0%
+-lft-identity100.0%
Simplified100.0%
Taylor expanded in x around inf 99.2%
Taylor expanded in x around 0 2.4%
Taylor expanded in x around inf 2.4%
associate-*l/2.4%
*-lft-identity2.4%
unpow12.4%
sqr-pow2.4%
fabs-sqr2.4%
sqr-pow2.4%
unpow12.4%
Simplified2.4%
Final simplification2.4%
herbie shell --seed 2023279
(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)))))))