
(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 16 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 E (* x x)) (sqrt PI)) x) (+ 1.0 (/ (+ 0.5 (/ (+ 0.75 (/ 1.875 (* x x))) (* x x))) (* x x)))))
double code(double x) {
return ((pow(((double) M_E), (x * x)) / sqrt(((double) M_PI))) / x) * (1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x)));
}
public static double code(double x) {
return ((Math.pow(Math.E, (x * x)) / Math.sqrt(Math.PI)) / x) * (1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x)));
}
def code(x): return ((math.pow(math.e, (x * x)) / math.sqrt(math.pi)) / x) * (1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x)))
function code(x) return Float64(Float64(Float64((exp(1) ^ Float64(x * x)) / sqrt(pi)) / x) * Float64(1.0 + Float64(Float64(0.5 + Float64(Float64(0.75 + Float64(1.875 / Float64(x * x))) / Float64(x * x))) / Float64(x * x)))) end
function tmp = code(x) tmp = (((2.71828182845904523536 ^ (x * x)) / sqrt(pi)) / x) * (1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))); end
code[x_] := N[(N[(N[(N[Power[E, N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision] * N[(1.0 + N[(N[(0.5 + N[(N[(0.75 + N[(1.875 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{{e}^{\left(x \cdot x\right)}}{\sqrt{\pi}}}{x} \cdot \left(1 + \frac{0.5 + \frac{0.75 + \frac{1.875}{x \cdot x}}{x \cdot x}}{x \cdot x}\right)
\end{array}
Initial program 100.0%
Simplified100.0%
*-lowering-*.f64N/A
Applied egg-rr100.0%
*-lowering-*.f64N/A
associate-/l/N/A
associate-/r*N/A
clear-numN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
PI-lowering-PI.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
Applied egg-rr100.0%
*-lft-identityN/A
exp-prodN/A
pow-lowering-pow.f64N/A
exp-1-eN/A
E-lowering-E.f64N/A
*-lowering-*.f64100.0%
Applied egg-rr100.0%
(FPCore (x) :precision binary64 (* (+ 1.0 (/ (+ 0.5 (/ (+ 0.75 (/ 1.875 (* x x))) (* x x))) (* x x))) (/ (/ (exp (* x x)) (sqrt PI)) x)))
double code(double x) {
return (1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) * ((exp((x * x)) / sqrt(((double) M_PI))) / x);
}
public static double code(double x) {
return (1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) * ((Math.exp((x * x)) / Math.sqrt(Math.PI)) / x);
}
def code(x): return (1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) * ((math.exp((x * x)) / math.sqrt(math.pi)) / x)
function code(x) return Float64(Float64(1.0 + Float64(Float64(0.5 + Float64(Float64(0.75 + Float64(1.875 / Float64(x * x))) / Float64(x * x))) / Float64(x * x))) * Float64(Float64(exp(Float64(x * x)) / sqrt(pi)) / x)) end
function tmp = code(x) tmp = (1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) * ((exp((x * x)) / sqrt(pi)) / x); end
code[x_] := N[(N[(1.0 + N[(N[(0.5 + N[(N[(0.75 + N[(1.875 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(1 + \frac{0.5 + \frac{0.75 + \frac{1.875}{x \cdot x}}{x \cdot x}}{x \cdot x}\right) \cdot \frac{\frac{e^{x \cdot x}}{\sqrt{\pi}}}{x}
\end{array}
Initial program 100.0%
Simplified100.0%
*-lowering-*.f64N/A
Applied egg-rr100.0%
*-lowering-*.f64N/A
associate-/l/N/A
associate-/r*N/A
clear-numN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
PI-lowering-PI.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
Applied egg-rr100.0%
Final simplification100.0%
(FPCore (x) :precision binary64 (* (/ (/ (exp (* x x)) (sqrt PI)) x) (+ 1.0 (/ (+ 0.5 (/ 0.75 (* x x))) (* x x)))))
double code(double x) {
return ((exp((x * x)) / sqrt(((double) M_PI))) / x) * (1.0 + ((0.5 + (0.75 / (x * x))) / (x * x)));
}
public static double code(double x) {
return ((Math.exp((x * x)) / Math.sqrt(Math.PI)) / x) * (1.0 + ((0.5 + (0.75 / (x * x))) / (x * x)));
}
def code(x): return ((math.exp((x * x)) / math.sqrt(math.pi)) / x) * (1.0 + ((0.5 + (0.75 / (x * x))) / (x * x)))
function code(x) return Float64(Float64(Float64(exp(Float64(x * x)) / sqrt(pi)) / x) * Float64(1.0 + Float64(Float64(0.5 + Float64(0.75 / Float64(x * x))) / Float64(x * x)))) end
function tmp = code(x) tmp = ((exp((x * x)) / sqrt(pi)) / x) * (1.0 + ((0.5 + (0.75 / (x * x))) / (x * x))); end
code[x_] := N[(N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision] * N[(1.0 + N[(N[(0.5 + N[(0.75 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{e^{x \cdot x}}{\sqrt{\pi}}}{x} \cdot \left(1 + \frac{0.5 + \frac{0.75}{x \cdot x}}{x \cdot x}\right)
\end{array}
Initial program 100.0%
Simplified100.0%
*-lowering-*.f64N/A
Applied egg-rr100.0%
*-lowering-*.f64N/A
associate-/l/N/A
associate-/r*N/A
clear-numN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
PI-lowering-PI.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
Applied egg-rr100.0%
Taylor expanded in x around inf
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6499.4%
Simplified99.4%
(FPCore (x) :precision binary64 (* (/ (/ (exp (* x x)) (sqrt PI)) x) (+ 1.0 (/ 0.5 (* x x)))))
double code(double x) {
return ((exp((x * x)) / sqrt(((double) M_PI))) / x) * (1.0 + (0.5 / (x * x)));
}
public static double code(double x) {
return ((Math.exp((x * x)) / Math.sqrt(Math.PI)) / x) * (1.0 + (0.5 / (x * x)));
}
def code(x): return ((math.exp((x * x)) / math.sqrt(math.pi)) / x) * (1.0 + (0.5 / (x * x)))
function code(x) return Float64(Float64(Float64(exp(Float64(x * x)) / sqrt(pi)) / x) * Float64(1.0 + Float64(0.5 / Float64(x * x)))) end
function tmp = code(x) tmp = ((exp((x * x)) / sqrt(pi)) / x) * (1.0 + (0.5 / (x * x))); end
code[x_] := N[(N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision] * N[(1.0 + N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{e^{x \cdot x}}{\sqrt{\pi}}}{x} \cdot \left(1 + \frac{0.5}{x \cdot x}\right)
\end{array}
Initial program 100.0%
Simplified100.0%
*-lowering-*.f64N/A
Applied egg-rr100.0%
*-lowering-*.f64N/A
associate-/l/N/A
associate-/r*N/A
clear-numN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
PI-lowering-PI.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
Applied egg-rr100.0%
Taylor expanded in x around inf
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6499.4%
Simplified99.4%
(FPCore (x) :precision binary64 (/ (/ (exp (* x x)) (sqrt PI)) x))
double code(double x) {
return (exp((x * x)) / sqrt(((double) M_PI))) / x;
}
public static double code(double x) {
return (Math.exp((x * x)) / Math.sqrt(Math.PI)) / x;
}
def code(x): return (math.exp((x * x)) / math.sqrt(math.pi)) / x
function code(x) return Float64(Float64(exp(Float64(x * x)) / sqrt(pi)) / x) end
function tmp = code(x) tmp = (exp((x * x)) / sqrt(pi)) / x; end
code[x_] := N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{e^{x \cdot x}}{\sqrt{\pi}}}{x}
\end{array}
Initial program 100.0%
Simplified100.0%
*-lowering-*.f64N/A
Applied egg-rr100.0%
Taylor expanded in x around inf
associate-*l/N/A
*-commutativeN/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
exp-lowering-exp.f64N/A
unpow2N/A
*-lowering-*.f6499.4%
Simplified99.4%
*-commutativeN/A
sqrt-divN/A
metadata-evalN/A
div-invN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
PI-lowering-PI.f6499.4%
Applied egg-rr99.4%
(FPCore (x)
:precision binary64
(let* ((t_0 (+ 0.5 (* (* x x) 0.16666666666666666)))
(t_1 (* x (* x t_0)))
(t_2 (- -1.0 t_1)))
(if (<= x 3.2e+51)
(*
(+ 1.0 (/ (+ 0.5 (/ (+ 0.75 (/ 1.875 (* x x))) (* x x))) (* x x)))
(/
(/
(*
(+ 1.0 (* (* (* x x) (* x x)) (* (+ 1.0 t_1) t_2)))
(/ 1.0 (+ 1.0 (* x (* x t_2)))))
(sqrt PI))
x))
(/ (/ (+ 1.0 (* (* x x) (+ 1.0 (* (* x x) t_0)))) (sqrt PI)) x))))
double code(double x) {
double t_0 = 0.5 + ((x * x) * 0.16666666666666666);
double t_1 = x * (x * t_0);
double t_2 = -1.0 - t_1;
double tmp;
if (x <= 3.2e+51) {
tmp = (1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) * ((((1.0 + (((x * x) * (x * x)) * ((1.0 + t_1) * t_2))) * (1.0 / (1.0 + (x * (x * t_2))))) / sqrt(((double) M_PI))) / x);
} else {
tmp = ((1.0 + ((x * x) * (1.0 + ((x * x) * t_0)))) / sqrt(((double) M_PI))) / x;
}
return tmp;
}
public static double code(double x) {
double t_0 = 0.5 + ((x * x) * 0.16666666666666666);
double t_1 = x * (x * t_0);
double t_2 = -1.0 - t_1;
double tmp;
if (x <= 3.2e+51) {
tmp = (1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) * ((((1.0 + (((x * x) * (x * x)) * ((1.0 + t_1) * t_2))) * (1.0 / (1.0 + (x * (x * t_2))))) / Math.sqrt(Math.PI)) / x);
} else {
tmp = ((1.0 + ((x * x) * (1.0 + ((x * x) * t_0)))) / Math.sqrt(Math.PI)) / x;
}
return tmp;
}
def code(x): t_0 = 0.5 + ((x * x) * 0.16666666666666666) t_1 = x * (x * t_0) t_2 = -1.0 - t_1 tmp = 0 if x <= 3.2e+51: tmp = (1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) * ((((1.0 + (((x * x) * (x * x)) * ((1.0 + t_1) * t_2))) * (1.0 / (1.0 + (x * (x * t_2))))) / math.sqrt(math.pi)) / x) else: tmp = ((1.0 + ((x * x) * (1.0 + ((x * x) * t_0)))) / math.sqrt(math.pi)) / x return tmp
function code(x) t_0 = Float64(0.5 + Float64(Float64(x * x) * 0.16666666666666666)) t_1 = Float64(x * Float64(x * t_0)) t_2 = Float64(-1.0 - t_1) tmp = 0.0 if (x <= 3.2e+51) tmp = Float64(Float64(1.0 + Float64(Float64(0.5 + Float64(Float64(0.75 + Float64(1.875 / Float64(x * x))) / Float64(x * x))) / Float64(x * x))) * Float64(Float64(Float64(Float64(1.0 + Float64(Float64(Float64(x * x) * Float64(x * x)) * Float64(Float64(1.0 + t_1) * t_2))) * Float64(1.0 / Float64(1.0 + Float64(x * Float64(x * t_2))))) / sqrt(pi)) / x)); else tmp = Float64(Float64(Float64(1.0 + Float64(Float64(x * x) * Float64(1.0 + Float64(Float64(x * x) * t_0)))) / sqrt(pi)) / x); end return tmp end
function tmp_2 = code(x) t_0 = 0.5 + ((x * x) * 0.16666666666666666); t_1 = x * (x * t_0); t_2 = -1.0 - t_1; tmp = 0.0; if (x <= 3.2e+51) tmp = (1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) * ((((1.0 + (((x * x) * (x * x)) * ((1.0 + t_1) * t_2))) * (1.0 / (1.0 + (x * (x * t_2))))) / sqrt(pi)) / x); else tmp = ((1.0 + ((x * x) * (1.0 + ((x * x) * t_0)))) / sqrt(pi)) / x; end tmp_2 = tmp; end
code[x_] := Block[{t$95$0 = N[(0.5 + N[(N[(x * x), $MachinePrecision] * 0.16666666666666666), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(x * N[(x * t$95$0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(-1.0 - t$95$1), $MachinePrecision]}, If[LessEqual[x, 3.2e+51], N[(N[(1.0 + N[(N[(0.5 + N[(N[(0.75 + N[(1.875 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(1.0 + N[(N[(N[(x * x), $MachinePrecision] * N[(x * x), $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 + t$95$1), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[(1.0 + N[(x * N[(x * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision], N[(N[(N[(1.0 + N[(N[(x * x), $MachinePrecision] * N[(1.0 + N[(N[(x * x), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 + \left(x \cdot x\right) \cdot 0.16666666666666666\\
t_1 := x \cdot \left(x \cdot t\_0\right)\\
t_2 := -1 - t\_1\\
\mathbf{if}\;x \leq 3.2 \cdot 10^{+51}:\\
\;\;\;\;\left(1 + \frac{0.5 + \frac{0.75 + \frac{1.875}{x \cdot x}}{x \cdot x}}{x \cdot x}\right) \cdot \frac{\frac{\left(1 + \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(\left(1 + t\_1\right) \cdot t\_2\right)\right) \cdot \frac{1}{1 + x \cdot \left(x \cdot t\_2\right)}}{\sqrt{\pi}}}{x}\\
\mathbf{else}:\\
\;\;\;\;\frac{\frac{1 + \left(x \cdot x\right) \cdot \left(1 + \left(x \cdot x\right) \cdot t\_0\right)}{\sqrt{\pi}}}{x}\\
\end{array}
\end{array}
if x < 3.2000000000000002e51Initial program 99.9%
Simplified99.9%
*-lowering-*.f64N/A
Applied egg-rr100.0%
*-lowering-*.f64N/A
associate-/l/N/A
associate-/r*N/A
clear-numN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
PI-lowering-PI.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
Applied egg-rr100.0%
Taylor expanded in x around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f645.4%
Simplified5.4%
flip-+N/A
div-invN/A
*-lowering-*.f64N/A
Applied egg-rr45.9%
if 3.2000000000000002e51 < x Initial program 100.0%
Simplified100.0%
*-lowering-*.f64N/A
Applied egg-rr100.0%
*-lowering-*.f64N/A
associate-/l/N/A
associate-/r*N/A
clear-numN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
PI-lowering-PI.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
Applied egg-rr100.0%
Taylor expanded in x around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64100.0%
Simplified100.0%
Taylor expanded in x around inf
Simplified100.0%
Final simplification89.6%
(FPCore (x)
:precision binary64
(let* ((t_0 (* (* x x) 0.5))
(t_1 (* x (+ x (* x t_0))))
(t_2
(+ 1.0 (/ (+ 0.5 (/ (+ 0.75 (/ 1.875 (* x x))) (* x x))) (* x x))))
(t_3 (* x (* x (+ 0.5 (* (* x x) 0.16666666666666666)))))
(t_4 (sqrt (/ 1.0 PI)))
(t_5 (- -1.0 t_3)))
(if (<= x 4e+38)
(*
t_2
(/
(+ 1.0 (* (* (* x x) (* x x)) (* (+ 1.0 t_3) t_5)))
(* (+ 1.0 (* x (* x t_5))) (* x (sqrt PI)))))
(if (<= x 1.35e+77)
(* t_2 (/ (* t_4 (/ (- 1.0 (* t_1 t_1)) (- 1.0 t_1))) x))
(/ (* t_4 (+ 1.0 (* (* x x) (+ 1.0 t_0)))) x)))))
double code(double x) {
double t_0 = (x * x) * 0.5;
double t_1 = x * (x + (x * t_0));
double t_2 = 1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x));
double t_3 = x * (x * (0.5 + ((x * x) * 0.16666666666666666)));
double t_4 = sqrt((1.0 / ((double) M_PI)));
double t_5 = -1.0 - t_3;
double tmp;
if (x <= 4e+38) {
tmp = t_2 * ((1.0 + (((x * x) * (x * x)) * ((1.0 + t_3) * t_5))) / ((1.0 + (x * (x * t_5))) * (x * sqrt(((double) M_PI)))));
} else if (x <= 1.35e+77) {
tmp = t_2 * ((t_4 * ((1.0 - (t_1 * t_1)) / (1.0 - t_1))) / x);
} else {
tmp = (t_4 * (1.0 + ((x * x) * (1.0 + t_0)))) / x;
}
return tmp;
}
public static double code(double x) {
double t_0 = (x * x) * 0.5;
double t_1 = x * (x + (x * t_0));
double t_2 = 1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x));
double t_3 = x * (x * (0.5 + ((x * x) * 0.16666666666666666)));
double t_4 = Math.sqrt((1.0 / Math.PI));
double t_5 = -1.0 - t_3;
double tmp;
if (x <= 4e+38) {
tmp = t_2 * ((1.0 + (((x * x) * (x * x)) * ((1.0 + t_3) * t_5))) / ((1.0 + (x * (x * t_5))) * (x * Math.sqrt(Math.PI))));
} else if (x <= 1.35e+77) {
tmp = t_2 * ((t_4 * ((1.0 - (t_1 * t_1)) / (1.0 - t_1))) / x);
} else {
tmp = (t_4 * (1.0 + ((x * x) * (1.0 + t_0)))) / x;
}
return tmp;
}
def code(x): t_0 = (x * x) * 0.5 t_1 = x * (x + (x * t_0)) t_2 = 1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x)) t_3 = x * (x * (0.5 + ((x * x) * 0.16666666666666666))) t_4 = math.sqrt((1.0 / math.pi)) t_5 = -1.0 - t_3 tmp = 0 if x <= 4e+38: tmp = t_2 * ((1.0 + (((x * x) * (x * x)) * ((1.0 + t_3) * t_5))) / ((1.0 + (x * (x * t_5))) * (x * math.sqrt(math.pi)))) elif x <= 1.35e+77: tmp = t_2 * ((t_4 * ((1.0 - (t_1 * t_1)) / (1.0 - t_1))) / x) else: tmp = (t_4 * (1.0 + ((x * x) * (1.0 + t_0)))) / x return tmp
function code(x) t_0 = Float64(Float64(x * x) * 0.5) t_1 = Float64(x * Float64(x + Float64(x * t_0))) t_2 = Float64(1.0 + Float64(Float64(0.5 + Float64(Float64(0.75 + Float64(1.875 / Float64(x * x))) / Float64(x * x))) / Float64(x * x))) t_3 = Float64(x * Float64(x * Float64(0.5 + Float64(Float64(x * x) * 0.16666666666666666)))) t_4 = sqrt(Float64(1.0 / pi)) t_5 = Float64(-1.0 - t_3) tmp = 0.0 if (x <= 4e+38) tmp = Float64(t_2 * Float64(Float64(1.0 + Float64(Float64(Float64(x * x) * Float64(x * x)) * Float64(Float64(1.0 + t_3) * t_5))) / Float64(Float64(1.0 + Float64(x * Float64(x * t_5))) * Float64(x * sqrt(pi))))); elseif (x <= 1.35e+77) tmp = Float64(t_2 * Float64(Float64(t_4 * Float64(Float64(1.0 - Float64(t_1 * t_1)) / Float64(1.0 - t_1))) / x)); else tmp = Float64(Float64(t_4 * Float64(1.0 + Float64(Float64(x * x) * Float64(1.0 + t_0)))) / x); end return tmp end
function tmp_2 = code(x) t_0 = (x * x) * 0.5; t_1 = x * (x + (x * t_0)); t_2 = 1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x)); t_3 = x * (x * (0.5 + ((x * x) * 0.16666666666666666))); t_4 = sqrt((1.0 / pi)); t_5 = -1.0 - t_3; tmp = 0.0; if (x <= 4e+38) tmp = t_2 * ((1.0 + (((x * x) * (x * x)) * ((1.0 + t_3) * t_5))) / ((1.0 + (x * (x * t_5))) * (x * sqrt(pi)))); elseif (x <= 1.35e+77) tmp = t_2 * ((t_4 * ((1.0 - (t_1 * t_1)) / (1.0 - t_1))) / x); else tmp = (t_4 * (1.0 + ((x * x) * (1.0 + t_0)))) / x; end tmp_2 = tmp; end
code[x_] := Block[{t$95$0 = N[(N[(x * x), $MachinePrecision] * 0.5), $MachinePrecision]}, Block[{t$95$1 = N[(x * N[(x + N[(x * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(1.0 + N[(N[(0.5 + N[(N[(0.75 + N[(1.875 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(x * N[(x * N[(0.5 + N[(N[(x * x), $MachinePrecision] * 0.16666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(1.0 / Pi), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(-1.0 - t$95$3), $MachinePrecision]}, If[LessEqual[x, 4e+38], N[(t$95$2 * N[(N[(1.0 + N[(N[(N[(x * x), $MachinePrecision] * N[(x * x), $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 + t$95$3), $MachinePrecision] * t$95$5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(1.0 + N[(x * N[(x * t$95$5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(x * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 1.35e+77], N[(t$95$2 * N[(N[(t$95$4 * N[(N[(1.0 - N[(t$95$1 * t$95$1), $MachinePrecision]), $MachinePrecision] / N[(1.0 - t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$4 * N[(1.0 + N[(N[(x * x), $MachinePrecision] * N[(1.0 + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(x \cdot x\right) \cdot 0.5\\
t_1 := x \cdot \left(x + x \cdot t\_0\right)\\
t_2 := 1 + \frac{0.5 + \frac{0.75 + \frac{1.875}{x \cdot x}}{x \cdot x}}{x \cdot x}\\
t_3 := x \cdot \left(x \cdot \left(0.5 + \left(x \cdot x\right) \cdot 0.16666666666666666\right)\right)\\
t_4 := \sqrt{\frac{1}{\pi}}\\
t_5 := -1 - t\_3\\
\mathbf{if}\;x \leq 4 \cdot 10^{+38}:\\
\;\;\;\;t\_2 \cdot \frac{1 + \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(\left(1 + t\_3\right) \cdot t\_5\right)}{\left(1 + x \cdot \left(x \cdot t\_5\right)\right) \cdot \left(x \cdot \sqrt{\pi}\right)}\\
\mathbf{elif}\;x \leq 1.35 \cdot 10^{+77}:\\
\;\;\;\;t\_2 \cdot \frac{t\_4 \cdot \frac{1 - t\_1 \cdot t\_1}{1 - t\_1}}{x}\\
\mathbf{else}:\\
\;\;\;\;\frac{t\_4 \cdot \left(1 + \left(x \cdot x\right) \cdot \left(1 + t\_0\right)\right)}{x}\\
\end{array}
\end{array}
if x < 3.99999999999999991e38Initial program 99.9%
Simplified99.9%
*-lowering-*.f64N/A
Applied egg-rr100.0%
*-lowering-*.f64N/A
associate-/l/N/A
associate-/r*N/A
clear-numN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
PI-lowering-PI.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
Applied egg-rr100.0%
Taylor expanded in x around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f645.1%
Simplified5.1%
associate-/l/N/A
flip-+N/A
associate-/l/N/A
/-lowering-/.f64N/A
Applied egg-rr26.3%
if 3.99999999999999991e38 < x < 1.3499999999999999e77Initial program 100.0%
Simplified100.0%
*-lowering-*.f64N/A
Applied egg-rr100.0%
Taylor expanded in x around 0
/-lowering-/.f64N/A
Simplified4.9%
associate-+l+N/A
flip-+N/A
/-lowering-/.f64N/A
Applied egg-rr100.0%
if 1.3499999999999999e77 < x Initial program 100.0%
Simplified100.0%
*-lowering-*.f64N/A
Applied egg-rr100.0%
Taylor expanded in x around inf
associate-*l/N/A
*-commutativeN/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
exp-lowering-exp.f64N/A
unpow2N/A
*-lowering-*.f64100.0%
Simplified100.0%
Taylor expanded in x around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64100.0%
Simplified100.0%
Final simplification89.6%
(FPCore (x)
:precision binary64
(let* ((t_0 (sqrt (/ 1.0 PI)))
(t_1 (* (* x x) 0.5))
(t_2 (* x (+ x (* x t_1)))))
(if (<= x 1.35e+77)
(*
(+ 1.0 (/ (+ 0.5 (/ (+ 0.75 (/ 1.875 (* x x))) (* x x))) (* x x)))
(/ (* t_0 (/ (- 1.0 (* t_2 t_2)) (- 1.0 t_2))) x))
(/ (* t_0 (+ 1.0 (* (* x x) (+ 1.0 t_1)))) x))))
double code(double x) {
double t_0 = sqrt((1.0 / ((double) M_PI)));
double t_1 = (x * x) * 0.5;
double t_2 = x * (x + (x * t_1));
double tmp;
if (x <= 1.35e+77) {
tmp = (1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) * ((t_0 * ((1.0 - (t_2 * t_2)) / (1.0 - t_2))) / x);
} else {
tmp = (t_0 * (1.0 + ((x * x) * (1.0 + t_1)))) / x;
}
return tmp;
}
public static double code(double x) {
double t_0 = Math.sqrt((1.0 / Math.PI));
double t_1 = (x * x) * 0.5;
double t_2 = x * (x + (x * t_1));
double tmp;
if (x <= 1.35e+77) {
tmp = (1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) * ((t_0 * ((1.0 - (t_2 * t_2)) / (1.0 - t_2))) / x);
} else {
tmp = (t_0 * (1.0 + ((x * x) * (1.0 + t_1)))) / x;
}
return tmp;
}
def code(x): t_0 = math.sqrt((1.0 / math.pi)) t_1 = (x * x) * 0.5 t_2 = x * (x + (x * t_1)) tmp = 0 if x <= 1.35e+77: tmp = (1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) * ((t_0 * ((1.0 - (t_2 * t_2)) / (1.0 - t_2))) / x) else: tmp = (t_0 * (1.0 + ((x * x) * (1.0 + t_1)))) / x return tmp
function code(x) t_0 = sqrt(Float64(1.0 / pi)) t_1 = Float64(Float64(x * x) * 0.5) t_2 = Float64(x * Float64(x + Float64(x * t_1))) tmp = 0.0 if (x <= 1.35e+77) tmp = Float64(Float64(1.0 + Float64(Float64(0.5 + Float64(Float64(0.75 + Float64(1.875 / Float64(x * x))) / Float64(x * x))) / Float64(x * x))) * Float64(Float64(t_0 * Float64(Float64(1.0 - Float64(t_2 * t_2)) / Float64(1.0 - t_2))) / x)); else tmp = Float64(Float64(t_0 * Float64(1.0 + Float64(Float64(x * x) * Float64(1.0 + t_1)))) / x); end return tmp end
function tmp_2 = code(x) t_0 = sqrt((1.0 / pi)); t_1 = (x * x) * 0.5; t_2 = x * (x + (x * t_1)); tmp = 0.0; if (x <= 1.35e+77) tmp = (1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) * ((t_0 * ((1.0 - (t_2 * t_2)) / (1.0 - t_2))) / x); else tmp = (t_0 * (1.0 + ((x * x) * (1.0 + t_1)))) / x; end tmp_2 = tmp; end
code[x_] := Block[{t$95$0 = N[Sqrt[N[(1.0 / Pi), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[(x * x), $MachinePrecision] * 0.5), $MachinePrecision]}, Block[{t$95$2 = N[(x * N[(x + N[(x * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, 1.35e+77], N[(N[(1.0 + N[(N[(0.5 + N[(N[(0.75 + N[(1.875 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(t$95$0 * N[(N[(1.0 - N[(t$95$2 * t$95$2), $MachinePrecision]), $MachinePrecision] / N[(1.0 - t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$0 * N[(1.0 + N[(N[(x * x), $MachinePrecision] * N[(1.0 + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{\frac{1}{\pi}}\\
t_1 := \left(x \cdot x\right) \cdot 0.5\\
t_2 := x \cdot \left(x + x \cdot t\_1\right)\\
\mathbf{if}\;x \leq 1.35 \cdot 10^{+77}:\\
\;\;\;\;\left(1 + \frac{0.5 + \frac{0.75 + \frac{1.875}{x \cdot x}}{x \cdot x}}{x \cdot x}\right) \cdot \frac{t\_0 \cdot \frac{1 - t\_2 \cdot t\_2}{1 - t\_2}}{x}\\
\mathbf{else}:\\
\;\;\;\;\frac{t\_0 \cdot \left(1 + \left(x \cdot x\right) \cdot \left(1 + t\_1\right)\right)}{x}\\
\end{array}
\end{array}
if x < 1.3499999999999999e77Initial program 100.0%
Simplified100.0%
*-lowering-*.f64N/A
Applied egg-rr100.0%
Taylor expanded in x around 0
/-lowering-/.f64N/A
Simplified4.8%
associate-+l+N/A
flip-+N/A
/-lowering-/.f64N/A
Applied egg-rr49.5%
if 1.3499999999999999e77 < x Initial program 100.0%
Simplified100.0%
*-lowering-*.f64N/A
Applied egg-rr100.0%
Taylor expanded in x around inf
associate-*l/N/A
*-commutativeN/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
exp-lowering-exp.f64N/A
unpow2N/A
*-lowering-*.f64100.0%
Simplified100.0%
Taylor expanded in x around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64100.0%
Simplified100.0%
Final simplification86.6%
(FPCore (x)
:precision binary64
(*
(+ 1.0 (/ (+ 0.5 (/ (+ 0.75 (/ 1.875 (* x x))) (* x x))) (* x x)))
(/
(+
1.0
(* x (* x (+ 1.0 (* x (* x (+ 0.5 (* (* x x) 0.16666666666666666))))))))
(* x (sqrt PI)))))
double code(double x) {
return (1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) * ((1.0 + (x * (x * (1.0 + (x * (x * (0.5 + ((x * x) * 0.16666666666666666)))))))) / (x * sqrt(((double) M_PI))));
}
public static double code(double x) {
return (1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) * ((1.0 + (x * (x * (1.0 + (x * (x * (0.5 + ((x * x) * 0.16666666666666666)))))))) / (x * Math.sqrt(Math.PI)));
}
def code(x): return (1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) * ((1.0 + (x * (x * (1.0 + (x * (x * (0.5 + ((x * x) * 0.16666666666666666)))))))) / (x * math.sqrt(math.pi)))
function code(x) return Float64(Float64(1.0 + Float64(Float64(0.5 + Float64(Float64(0.75 + Float64(1.875 / Float64(x * x))) / Float64(x * x))) / Float64(x * x))) * Float64(Float64(1.0 + Float64(x * Float64(x * Float64(1.0 + Float64(x * Float64(x * Float64(0.5 + Float64(Float64(x * x) * 0.16666666666666666)))))))) / Float64(x * sqrt(pi)))) end
function tmp = code(x) tmp = (1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) * ((1.0 + (x * (x * (1.0 + (x * (x * (0.5 + ((x * x) * 0.16666666666666666)))))))) / (x * sqrt(pi))); end
code[x_] := N[(N[(1.0 + N[(N[(0.5 + N[(N[(0.75 + N[(1.875 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 + N[(x * N[(x * N[(1.0 + N[(x * N[(x * N[(0.5 + N[(N[(x * x), $MachinePrecision] * 0.16666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(1 + \frac{0.5 + \frac{0.75 + \frac{1.875}{x \cdot x}}{x \cdot x}}{x \cdot x}\right) \cdot \frac{1 + x \cdot \left(x \cdot \left(1 + x \cdot \left(x \cdot \left(0.5 + \left(x \cdot x\right) \cdot 0.16666666666666666\right)\right)\right)\right)}{x \cdot \sqrt{\pi}}
\end{array}
Initial program 100.0%
Simplified100.0%
*-lowering-*.f64N/A
Applied egg-rr100.0%
*-lowering-*.f64N/A
associate-/l/N/A
associate-/r*N/A
clear-numN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
PI-lowering-PI.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
Applied egg-rr100.0%
Taylor expanded in x around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6481.9%
Simplified81.9%
*-lowering-*.f64N/A
Applied egg-rr81.9%
Final simplification81.9%
(FPCore (x)
:precision binary64
(*
(+ 1.0 (/ (+ 0.5 (/ 0.75 (* x x))) (* x x)))
(/
(/
(+
1.0
(* (* x x) (+ 1.0 (* (* x x) (+ 0.5 (* (* x x) 0.16666666666666666))))))
(sqrt PI))
x)))
double code(double x) {
return (1.0 + ((0.5 + (0.75 / (x * x))) / (x * x))) * (((1.0 + ((x * x) * (1.0 + ((x * x) * (0.5 + ((x * x) * 0.16666666666666666)))))) / sqrt(((double) M_PI))) / x);
}
public static double code(double x) {
return (1.0 + ((0.5 + (0.75 / (x * x))) / (x * x))) * (((1.0 + ((x * x) * (1.0 + ((x * x) * (0.5 + ((x * x) * 0.16666666666666666)))))) / Math.sqrt(Math.PI)) / x);
}
def code(x): return (1.0 + ((0.5 + (0.75 / (x * x))) / (x * x))) * (((1.0 + ((x * x) * (1.0 + ((x * x) * (0.5 + ((x * x) * 0.16666666666666666)))))) / math.sqrt(math.pi)) / x)
function code(x) return Float64(Float64(1.0 + Float64(Float64(0.5 + Float64(0.75 / Float64(x * x))) / Float64(x * x))) * Float64(Float64(Float64(1.0 + Float64(Float64(x * x) * Float64(1.0 + Float64(Float64(x * x) * Float64(0.5 + Float64(Float64(x * x) * 0.16666666666666666)))))) / sqrt(pi)) / x)) end
function tmp = code(x) tmp = (1.0 + ((0.5 + (0.75 / (x * x))) / (x * x))) * (((1.0 + ((x * x) * (1.0 + ((x * x) * (0.5 + ((x * x) * 0.16666666666666666)))))) / sqrt(pi)) / x); end
code[x_] := N[(N[(1.0 + N[(N[(0.5 + N[(0.75 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(1.0 + N[(N[(x * x), $MachinePrecision] * N[(1.0 + N[(N[(x * x), $MachinePrecision] * N[(0.5 + N[(N[(x * x), $MachinePrecision] * 0.16666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(1 + \frac{0.5 + \frac{0.75}{x \cdot x}}{x \cdot x}\right) \cdot \frac{\frac{1 + \left(x \cdot x\right) \cdot \left(1 + \left(x \cdot x\right) \cdot \left(0.5 + \left(x \cdot x\right) \cdot 0.16666666666666666\right)\right)}{\sqrt{\pi}}}{x}
\end{array}
Initial program 100.0%
Simplified100.0%
*-lowering-*.f64N/A
Applied egg-rr100.0%
*-lowering-*.f64N/A
associate-/l/N/A
associate-/r*N/A
clear-numN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
PI-lowering-PI.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
Applied egg-rr100.0%
Taylor expanded in x around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6481.9%
Simplified81.9%
Taylor expanded in x around inf
/-lowering-/.f64N/A
+-lowering-+.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6481.8%
Simplified81.8%
Final simplification81.8%
(FPCore (x)
:precision binary64
(*
(+ 1.0 (/ 0.5 (* x x)))
(/
(/
(+
1.0
(* (* x x) (+ 1.0 (* (* x x) (+ 0.5 (* (* x x) 0.16666666666666666))))))
(sqrt PI))
x)))
double code(double x) {
return (1.0 + (0.5 / (x * x))) * (((1.0 + ((x * x) * (1.0 + ((x * x) * (0.5 + ((x * x) * 0.16666666666666666)))))) / sqrt(((double) M_PI))) / x);
}
public static double code(double x) {
return (1.0 + (0.5 / (x * x))) * (((1.0 + ((x * x) * (1.0 + ((x * x) * (0.5 + ((x * x) * 0.16666666666666666)))))) / Math.sqrt(Math.PI)) / x);
}
def code(x): return (1.0 + (0.5 / (x * x))) * (((1.0 + ((x * x) * (1.0 + ((x * x) * (0.5 + ((x * x) * 0.16666666666666666)))))) / math.sqrt(math.pi)) / x)
function code(x) return Float64(Float64(1.0 + Float64(0.5 / Float64(x * x))) * Float64(Float64(Float64(1.0 + Float64(Float64(x * x) * Float64(1.0 + Float64(Float64(x * x) * Float64(0.5 + Float64(Float64(x * x) * 0.16666666666666666)))))) / sqrt(pi)) / x)) end
function tmp = code(x) tmp = (1.0 + (0.5 / (x * x))) * (((1.0 + ((x * x) * (1.0 + ((x * x) * (0.5 + ((x * x) * 0.16666666666666666)))))) / sqrt(pi)) / x); end
code[x_] := N[(N[(1.0 + N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(1.0 + N[(N[(x * x), $MachinePrecision] * N[(1.0 + N[(N[(x * x), $MachinePrecision] * N[(0.5 + N[(N[(x * x), $MachinePrecision] * 0.16666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(1 + \frac{0.5}{x \cdot x}\right) \cdot \frac{\frac{1 + \left(x \cdot x\right) \cdot \left(1 + \left(x \cdot x\right) \cdot \left(0.5 + \left(x \cdot x\right) \cdot 0.16666666666666666\right)\right)}{\sqrt{\pi}}}{x}
\end{array}
Initial program 100.0%
Simplified100.0%
*-lowering-*.f64N/A
Applied egg-rr100.0%
*-lowering-*.f64N/A
associate-/l/N/A
associate-/r*N/A
clear-numN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
PI-lowering-PI.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
Applied egg-rr100.0%
Taylor expanded in x around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6481.9%
Simplified81.9%
Taylor expanded in x around inf
+-lowering-+.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6481.8%
Simplified81.8%
Final simplification81.8%
(FPCore (x)
:precision binary64
(/
(/
(+
1.0
(* (* x x) (+ 1.0 (* (* x x) (+ 0.5 (* (* x x) 0.16666666666666666))))))
(sqrt PI))
x))
double code(double x) {
return ((1.0 + ((x * x) * (1.0 + ((x * x) * (0.5 + ((x * x) * 0.16666666666666666)))))) / sqrt(((double) M_PI))) / x;
}
public static double code(double x) {
return ((1.0 + ((x * x) * (1.0 + ((x * x) * (0.5 + ((x * x) * 0.16666666666666666)))))) / Math.sqrt(Math.PI)) / x;
}
def code(x): return ((1.0 + ((x * x) * (1.0 + ((x * x) * (0.5 + ((x * x) * 0.16666666666666666)))))) / math.sqrt(math.pi)) / x
function code(x) return Float64(Float64(Float64(1.0 + Float64(Float64(x * x) * Float64(1.0 + Float64(Float64(x * x) * Float64(0.5 + Float64(Float64(x * x) * 0.16666666666666666)))))) / sqrt(pi)) / x) end
function tmp = code(x) tmp = ((1.0 + ((x * x) * (1.0 + ((x * x) * (0.5 + ((x * x) * 0.16666666666666666)))))) / sqrt(pi)) / x; end
code[x_] := N[(N[(N[(1.0 + N[(N[(x * x), $MachinePrecision] * N[(1.0 + N[(N[(x * x), $MachinePrecision] * N[(0.5 + N[(N[(x * x), $MachinePrecision] * 0.16666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{1 + \left(x \cdot x\right) \cdot \left(1 + \left(x \cdot x\right) \cdot \left(0.5 + \left(x \cdot x\right) \cdot 0.16666666666666666\right)\right)}{\sqrt{\pi}}}{x}
\end{array}
Initial program 100.0%
Simplified100.0%
*-lowering-*.f64N/A
Applied egg-rr100.0%
*-lowering-*.f64N/A
associate-/l/N/A
associate-/r*N/A
clear-numN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
PI-lowering-PI.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
Applied egg-rr100.0%
Taylor expanded in x around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6481.9%
Simplified81.9%
Taylor expanded in x around inf
Simplified81.8%
Final simplification81.8%
(FPCore (x) :precision binary64 (/ (* (sqrt (/ 1.0 PI)) (+ 1.0 (* (* x x) (+ 1.0 (* (* x x) 0.5))))) x))
double code(double x) {
return (sqrt((1.0 / ((double) M_PI))) * (1.0 + ((x * x) * (1.0 + ((x * x) * 0.5))))) / x;
}
public static double code(double x) {
return (Math.sqrt((1.0 / Math.PI)) * (1.0 + ((x * x) * (1.0 + ((x * x) * 0.5))))) / x;
}
def code(x): return (math.sqrt((1.0 / math.pi)) * (1.0 + ((x * x) * (1.0 + ((x * x) * 0.5))))) / x
function code(x) return Float64(Float64(sqrt(Float64(1.0 / pi)) * Float64(1.0 + Float64(Float64(x * x) * Float64(1.0 + Float64(Float64(x * x) * 0.5))))) / x) end
function tmp = code(x) tmp = (sqrt((1.0 / pi)) * (1.0 + ((x * x) * (1.0 + ((x * x) * 0.5))))) / x; end
code[x_] := N[(N[(N[Sqrt[N[(1.0 / Pi), $MachinePrecision]], $MachinePrecision] * N[(1.0 + N[(N[(x * x), $MachinePrecision] * N[(1.0 + N[(N[(x * x), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]
\begin{array}{l}
\\
\frac{\sqrt{\frac{1}{\pi}} \cdot \left(1 + \left(x \cdot x\right) \cdot \left(1 + \left(x \cdot x\right) \cdot 0.5\right)\right)}{x}
\end{array}
Initial program 100.0%
Simplified100.0%
*-lowering-*.f64N/A
Applied egg-rr100.0%
Taylor expanded in x around inf
associate-*l/N/A
*-commutativeN/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
exp-lowering-exp.f64N/A
unpow2N/A
*-lowering-*.f6499.4%
Simplified99.4%
Taylor expanded in x around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6474.7%
Simplified74.7%
(FPCore (x) :precision binary64 (* (* (sqrt (/ 1.0 PI)) (* x (* x x))) (+ 0.5 (/ 1.25 (* x x)))))
double code(double x) {
return (sqrt((1.0 / ((double) M_PI))) * (x * (x * x))) * (0.5 + (1.25 / (x * x)));
}
public static double code(double x) {
return (Math.sqrt((1.0 / Math.PI)) * (x * (x * x))) * (0.5 + (1.25 / (x * x)));
}
def code(x): return (math.sqrt((1.0 / math.pi)) * (x * (x * x))) * (0.5 + (1.25 / (x * x)))
function code(x) return Float64(Float64(sqrt(Float64(1.0 / pi)) * Float64(x * Float64(x * x))) * Float64(0.5 + Float64(1.25 / Float64(x * x)))) end
function tmp = code(x) tmp = (sqrt((1.0 / pi)) * (x * (x * x))) * (0.5 + (1.25 / (x * x))); end
code[x_] := N[(N[(N[Sqrt[N[(1.0 / Pi), $MachinePrecision]], $MachinePrecision] * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(0.5 + N[(1.25 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\sqrt{\frac{1}{\pi}} \cdot \left(x \cdot \left(x \cdot x\right)\right)\right) \cdot \left(0.5 + \frac{1.25}{x \cdot x}\right)
\end{array}
Initial program 100.0%
Simplified100.0%
*-lowering-*.f64N/A
Applied egg-rr100.0%
Taylor expanded in x around 0
/-lowering-/.f64N/A
Simplified74.7%
Taylor expanded in x around inf
distribute-rgt-inN/A
associate-*r*N/A
*-commutativeN/A
associate-*r*N/A
associate-*l*N/A
*-commutativeN/A
distribute-rgt-outN/A
*-lowering-*.f64N/A
Simplified69.6%
(FPCore (x) :precision binary64 (* (sqrt (/ 1.0 PI)) (* x (* (* x x) 0.5))))
double code(double x) {
return sqrt((1.0 / ((double) M_PI))) * (x * ((x * x) * 0.5));
}
public static double code(double x) {
return Math.sqrt((1.0 / Math.PI)) * (x * ((x * x) * 0.5));
}
def code(x): return math.sqrt((1.0 / math.pi)) * (x * ((x * x) * 0.5))
function code(x) return Float64(sqrt(Float64(1.0 / pi)) * Float64(x * Float64(Float64(x * x) * 0.5))) end
function tmp = code(x) tmp = sqrt((1.0 / pi)) * (x * ((x * x) * 0.5)); end
code[x_] := N[(N[Sqrt[N[(1.0 / Pi), $MachinePrecision]], $MachinePrecision] * N[(x * N[(N[(x * x), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt{\frac{1}{\pi}} \cdot \left(x \cdot \left(\left(x \cdot x\right) \cdot 0.5\right)\right)
\end{array}
Initial program 100.0%
Simplified100.0%
*-lowering-*.f64N/A
Applied egg-rr100.0%
Taylor expanded in x around 0
/-lowering-/.f64N/A
Simplified74.7%
Taylor expanded in x around inf
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
unpow3N/A
unpow2N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6469.6%
Simplified69.6%
Final simplification69.6%
(FPCore (x) :precision binary64 (/ x (sqrt PI)))
double code(double x) {
return x / sqrt(((double) M_PI));
}
public static double code(double x) {
return x / Math.sqrt(Math.PI);
}
def code(x): return x / math.sqrt(math.pi)
function code(x) return Float64(x / sqrt(pi)) end
function tmp = code(x) tmp = x / sqrt(pi); end
code[x_] := N[(x / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{x}{\sqrt{\pi}}
\end{array}
Initial program 100.0%
Simplified100.0%
*-lowering-*.f64N/A
Applied egg-rr100.0%
Taylor expanded in x around 0
distribute-rgt1-inN/A
*-commutativeN/A
associate-/l*N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
/-lowering-/.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
unpow2N/A
*-lowering-*.f6453.2%
Simplified53.2%
Taylor expanded in x around inf
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f645.6%
Simplified5.6%
sqrt-divN/A
metadata-evalN/A
un-div-invN/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
PI-lowering-PI.f645.6%
Applied egg-rr5.6%
herbie shell --seed 2024144
(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)))))))