
(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 18 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)
(+ 1.0 (/ (+ 0.5 (/ (+ 0.75 (/ 1.875 (* x x))) (* x x))) (* x x))))
(sqrt PI))
x))
double code(double x) {
return ((pow(exp(x), x) * (1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x)))) / sqrt(((double) M_PI))) / x;
}
public static double code(double x) {
return ((Math.pow(Math.exp(x), x) * (1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x)))) / Math.sqrt(Math.PI)) / x;
}
def code(x): return ((math.pow(math.exp(x), x) * (1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x)))) / math.sqrt(math.pi)) / x
function code(x) return Float64(Float64(Float64((exp(x) ^ x) * Float64(1.0 + Float64(Float64(0.5 + Float64(Float64(0.75 + Float64(1.875 / Float64(x * x))) / Float64(x * x))) / Float64(x * x)))) / sqrt(pi)) / x) end
function tmp = code(x) tmp = (((exp(x) ^ x) * (1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x)))) / sqrt(pi)) / x; end
code[x_] := N[(N[(N[(N[Power[N[Exp[x], $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] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{{\left(e^{x}\right)}^{x} \cdot \left(1 + \frac{0.5 + \frac{0.75 + \frac{1.875}{x \cdot x}}{x \cdot x}}{x \cdot x}\right)}{\sqrt{\pi}}}{x}
\end{array}
Initial program 99.9%
Simplified99.9%
Applied egg-rr99.9%
exp-prodN/A
pow-lowering-pow.f64N/A
exp-lowering-exp.f64100.0%
Applied egg-rr100.0%
remove-double-div100.0%
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(Float64(Float64(1.0 + Float64(Float64(0.5 + Float64(Float64(0.75 + Float64(1.875 / Float64(x * x))) / Float64(x * x))) / Float64(x * x))) * 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[(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[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{\left(1 + \frac{0.5 + \frac{0.75 + \frac{1.875}{x \cdot x}}{x \cdot x}}{x \cdot x}\right) \cdot e^{x \cdot x}}{\sqrt{\pi}}}{x}
\end{array}
Initial program 99.9%
Simplified99.9%
Applied egg-rr99.9%
remove-double-div99.9%
Applied egg-rr99.9%
Final simplification99.9%
(FPCore (x) :precision binary64 (/ (+ 1.0 (/ (+ 0.5 (/ (+ 0.75 (/ 1.875 (* x x))) (* x x))) (* x x))) (/ x (/ (exp (* x x)) (sqrt PI)))))
double code(double x) {
return (1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) / (x / (exp((x * 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))) / (x / (Math.exp((x * x)) / Math.sqrt(Math.PI)));
}
def code(x): return (1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) / (x / (math.exp((x * 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(x / Float64(exp(Float64(x * x)) / sqrt(pi)))) end
function tmp = code(x) tmp = (1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) / (x / (exp((x * 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[(x / N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{1 + \frac{0.5 + \frac{0.75 + \frac{1.875}{x \cdot x}}{x \cdot x}}{x \cdot x}}{\frac{x}{\frac{e^{x \cdot x}}{\sqrt{\pi}}}}
\end{array}
Initial program 99.9%
Simplified99.9%
Applied egg-rr99.9%
remove-double-div99.9%
Applied egg-rr99.9%
(FPCore (x) :precision binary64 (* (exp (* x x)) (/ (/ (+ 1.0 (/ (+ 0.5 (/ 0.75 (* x x))) (* x x))) (sqrt PI)) x)))
double code(double x) {
return exp((x * x)) * (((1.0 + ((0.5 + (0.75 / (x * x))) / (x * x))) / sqrt(((double) M_PI))) / x);
}
public static double code(double x) {
return Math.exp((x * x)) * (((1.0 + ((0.5 + (0.75 / (x * x))) / (x * x))) / Math.sqrt(Math.PI)) / x);
}
def code(x): return math.exp((x * x)) * (((1.0 + ((0.5 + (0.75 / (x * x))) / (x * x))) / math.sqrt(math.pi)) / x)
function code(x) return Float64(exp(Float64(x * x)) * Float64(Float64(Float64(1.0 + Float64(Float64(0.5 + Float64(0.75 / Float64(x * x))) / Float64(x * x))) / sqrt(pi)) / x)) end
function tmp = code(x) tmp = exp((x * x)) * (((1.0 + ((0.5 + (0.75 / (x * x))) / (x * x))) / sqrt(pi)) / x); end
code[x_] := N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] * N[(N[(N[(1.0 + N[(N[(0.5 + N[(0.75 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
e^{x \cdot x} \cdot \frac{\frac{1 + \frac{0.5 + \frac{0.75}{x \cdot x}}{x \cdot x}}{\sqrt{\pi}}}{x}
\end{array}
Initial program 99.9%
Simplified99.9%
associate-*l/N/A
div-invN/A
*-lowering-*.f64N/A
Applied egg-rr99.9%
Taylor expanded in x around inf
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6498.6%
Simplified98.6%
un-div-invN/A
associate-/l*N/A
associate-/l*N/A
*-lowering-*.f64N/A
exp-lowering-exp.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
Applied egg-rr98.6%
(FPCore (x) :precision binary64 (* (/ (* (exp (* x x)) (+ 1.0 (/ 0.5 (* x x)))) (sqrt PI)) (/ 1.0 x)))
double code(double x) {
return ((exp((x * x)) * (1.0 + (0.5 / (x * x)))) / sqrt(((double) M_PI))) * (1.0 / x);
}
public static double code(double x) {
return ((Math.exp((x * x)) * (1.0 + (0.5 / (x * x)))) / Math.sqrt(Math.PI)) * (1.0 / x);
}
def code(x): return ((math.exp((x * x)) * (1.0 + (0.5 / (x * x)))) / math.sqrt(math.pi)) * (1.0 / x)
function code(x) return Float64(Float64(Float64(exp(Float64(x * x)) * Float64(1.0 + Float64(0.5 / Float64(x * x)))) / sqrt(pi)) * Float64(1.0 / x)) end
function tmp = code(x) tmp = ((exp((x * x)) * (1.0 + (0.5 / (x * x)))) / sqrt(pi)) * (1.0 / x); end
code[x_] := N[(N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] * N[(1.0 + N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(1.0 / x), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{e^{x \cdot x} \cdot \left(1 + \frac{0.5}{x \cdot x}\right)}{\sqrt{\pi}} \cdot \frac{1}{x}
\end{array}
Initial program 99.9%
Simplified99.9%
associate-*l/N/A
div-invN/A
*-lowering-*.f64N/A
Applied egg-rr99.9%
Taylor expanded in x around inf
+-lowering-+.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6498.5%
Simplified98.5%
(FPCore (x) :precision binary64 (* (/ (exp (* x x)) (sqrt PI)) (/ 1.0 x)))
double code(double x) {
return (exp((x * x)) / sqrt(((double) M_PI))) * (1.0 / x);
}
public static double code(double x) {
return (Math.exp((x * x)) / Math.sqrt(Math.PI)) * (1.0 / x);
}
def code(x): return (math.exp((x * x)) / math.sqrt(math.pi)) * (1.0 / x)
function code(x) return Float64(Float64(exp(Float64(x * x)) / sqrt(pi)) * Float64(1.0 / x)) end
function tmp = code(x) tmp = (exp((x * x)) / sqrt(pi)) * (1.0 / x); end
code[x_] := N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(1.0 / x), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{e^{x \cdot x}}{\sqrt{\pi}} \cdot \frac{1}{x}
\end{array}
Initial program 99.9%
Simplified99.9%
associate-*l/N/A
div-invN/A
*-lowering-*.f64N/A
Applied egg-rr99.9%
Taylor expanded in x around inf
exp-lowering-exp.f64N/A
unpow2N/A
*-lowering-*.f6498.5%
Simplified98.5%
(FPCore (x)
:precision binary64
(let* ((t_0 (- -1.0 (* x x)))
(t_1 (+ 0.5 (* (* x x) 0.16666666666666666)))
(t_2 (* x (* x t_1))))
(if (<= x 3.2e+51)
(*
(/ 1.0 x)
(/
(*
(+ 1.0 (/ (+ 0.5 (/ (+ 0.75 (/ 1.875 (* x x))) (* x x))) (* x x)))
(/
(+ (* (* x (* x (* x x))) (* t_2 t_2)) (* (+ 1.0 (* x x)) t_0))
(+ (* x (* x t_2)) t_0)))
(sqrt PI)))
(* (/ 1.0 x) (/ (+ 1.0 (* (* x x) (+ 1.0 (* (* x x) t_1)))) (sqrt PI))))))
double code(double x) {
double t_0 = -1.0 - (x * x);
double t_1 = 0.5 + ((x * x) * 0.16666666666666666);
double t_2 = x * (x * t_1);
double tmp;
if (x <= 3.2e+51) {
tmp = (1.0 / x) * (((1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) * ((((x * (x * (x * x))) * (t_2 * t_2)) + ((1.0 + (x * x)) * t_0)) / ((x * (x * t_2)) + t_0))) / sqrt(((double) M_PI)));
} else {
tmp = (1.0 / x) * ((1.0 + ((x * x) * (1.0 + ((x * x) * t_1)))) / sqrt(((double) M_PI)));
}
return tmp;
}
public static double code(double x) {
double t_0 = -1.0 - (x * x);
double t_1 = 0.5 + ((x * x) * 0.16666666666666666);
double t_2 = x * (x * t_1);
double tmp;
if (x <= 3.2e+51) {
tmp = (1.0 / x) * (((1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) * ((((x * (x * (x * x))) * (t_2 * t_2)) + ((1.0 + (x * x)) * t_0)) / ((x * (x * t_2)) + t_0))) / Math.sqrt(Math.PI));
} else {
tmp = (1.0 / x) * ((1.0 + ((x * x) * (1.0 + ((x * x) * t_1)))) / Math.sqrt(Math.PI));
}
return tmp;
}
def code(x): t_0 = -1.0 - (x * x) t_1 = 0.5 + ((x * x) * 0.16666666666666666) t_2 = x * (x * t_1) tmp = 0 if x <= 3.2e+51: tmp = (1.0 / x) * (((1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) * ((((x * (x * (x * x))) * (t_2 * t_2)) + ((1.0 + (x * x)) * t_0)) / ((x * (x * t_2)) + t_0))) / math.sqrt(math.pi)) else: tmp = (1.0 / x) * ((1.0 + ((x * x) * (1.0 + ((x * x) * t_1)))) / math.sqrt(math.pi)) return tmp
function code(x) t_0 = Float64(-1.0 - Float64(x * x)) t_1 = Float64(0.5 + Float64(Float64(x * x) * 0.16666666666666666)) t_2 = Float64(x * Float64(x * t_1)) tmp = 0.0 if (x <= 3.2e+51) tmp = Float64(Float64(1.0 / x) * Float64(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(x * Float64(x * Float64(x * x))) * Float64(t_2 * t_2)) + Float64(Float64(1.0 + Float64(x * x)) * t_0)) / Float64(Float64(x * Float64(x * t_2)) + t_0))) / sqrt(pi))); else tmp = Float64(Float64(1.0 / x) * Float64(Float64(1.0 + Float64(Float64(x * x) * Float64(1.0 + Float64(Float64(x * x) * t_1)))) / sqrt(pi))); end return tmp end
function tmp_2 = code(x) t_0 = -1.0 - (x * x); t_1 = 0.5 + ((x * x) * 0.16666666666666666); t_2 = x * (x * t_1); tmp = 0.0; if (x <= 3.2e+51) tmp = (1.0 / x) * (((1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) * ((((x * (x * (x * x))) * (t_2 * t_2)) + ((1.0 + (x * x)) * t_0)) / ((x * (x * t_2)) + t_0))) / sqrt(pi)); else tmp = (1.0 / x) * ((1.0 + ((x * x) * (1.0 + ((x * x) * t_1)))) / sqrt(pi)); end tmp_2 = tmp; end
code[x_] := Block[{t$95$0 = N[(-1.0 - N[(x * x), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 + N[(N[(x * x), $MachinePrecision] * 0.16666666666666666), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(x * N[(x * t$95$1), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, 3.2e+51], N[(N[(1.0 / x), $MachinePrecision] * N[(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[(x * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(t$95$2 * t$95$2), $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 + N[(x * x), $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] / N[(N[(x * N[(x * t$95$2), $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(1.0 / x), $MachinePrecision] * N[(N[(1.0 + N[(N[(x * x), $MachinePrecision] * N[(1.0 + N[(N[(x * x), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := -1 - x \cdot x\\
t_1 := 0.5 + \left(x \cdot x\right) \cdot 0.16666666666666666\\
t_2 := x \cdot \left(x \cdot t\_1\right)\\
\mathbf{if}\;x \leq 3.2 \cdot 10^{+51}:\\
\;\;\;\;\frac{1}{x} \cdot \frac{\left(1 + \frac{0.5 + \frac{0.75 + \frac{1.875}{x \cdot x}}{x \cdot x}}{x \cdot x}\right) \cdot \frac{\left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right) \cdot \left(t\_2 \cdot t\_2\right) + \left(1 + x \cdot x\right) \cdot t\_0}{x \cdot \left(x \cdot t\_2\right) + t\_0}}{\sqrt{\pi}}\\
\mathbf{else}:\\
\;\;\;\;\frac{1}{x} \cdot \frac{1 + \left(x \cdot x\right) \cdot \left(1 + \left(x \cdot x\right) \cdot t\_1\right)}{\sqrt{\pi}}\\
\end{array}
\end{array}
if x < 3.2000000000000002e51Initial program 99.5%
Simplified99.6%
associate-*l/N/A
div-invN/A
*-lowering-*.f64N/A
Applied egg-rr99.6%
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-*.f646.6%
Simplified6.6%
distribute-lft-inN/A
*-commutativeN/A
*-rgt-identityN/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f646.6%
Applied egg-rr6.6%
Applied egg-rr56.0%
if 3.2000000000000002e51 < x Initial program 100.0%
Simplified100.0%
associate-*l/N/A
div-invN/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 simplification92.8%
(FPCore (x)
:precision binary64
(let* ((t_0 (* (* x x) (+ 0.5 (* x (* x 0.16666666666666666)))))
(t_1 (* (* x x) (- -1.0 t_0))))
(if (<= x 3.2e+51)
(*
(/ 1.0 x)
(/
(/
(*
(+ 1.0 (/ (+ 0.5 (/ (+ 0.75 (/ 1.875 (* x x))) (* x x))) (* x x)))
(+ 1.0 (* x (* (* x (+ 1.0 t_0)) t_1))))
(+ 1.0 t_1))
(sqrt PI)))
(*
(/ 1.0 x)
(/
(+
1.0
(*
(* x x)
(+ 1.0 (* (* x x) (+ 0.5 (* (* x x) 0.16666666666666666))))))
(sqrt PI))))))
double code(double x) {
double t_0 = (x * x) * (0.5 + (x * (x * 0.16666666666666666)));
double t_1 = (x * x) * (-1.0 - t_0);
double tmp;
if (x <= 3.2e+51) {
tmp = (1.0 / x) * ((((1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) * (1.0 + (x * ((x * (1.0 + t_0)) * t_1)))) / (1.0 + t_1)) / sqrt(((double) M_PI)));
} else {
tmp = (1.0 / x) * ((1.0 + ((x * x) * (1.0 + ((x * x) * (0.5 + ((x * x) * 0.16666666666666666)))))) / sqrt(((double) M_PI)));
}
return tmp;
}
public static double code(double x) {
double t_0 = (x * x) * (0.5 + (x * (x * 0.16666666666666666)));
double t_1 = (x * x) * (-1.0 - t_0);
double tmp;
if (x <= 3.2e+51) {
tmp = (1.0 / x) * ((((1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) * (1.0 + (x * ((x * (1.0 + t_0)) * t_1)))) / (1.0 + t_1)) / Math.sqrt(Math.PI));
} else {
tmp = (1.0 / x) * ((1.0 + ((x * x) * (1.0 + ((x * x) * (0.5 + ((x * x) * 0.16666666666666666)))))) / Math.sqrt(Math.PI));
}
return tmp;
}
def code(x): t_0 = (x * x) * (0.5 + (x * (x * 0.16666666666666666))) t_1 = (x * x) * (-1.0 - t_0) tmp = 0 if x <= 3.2e+51: tmp = (1.0 / x) * ((((1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) * (1.0 + (x * ((x * (1.0 + t_0)) * t_1)))) / (1.0 + t_1)) / math.sqrt(math.pi)) else: tmp = (1.0 / x) * ((1.0 + ((x * x) * (1.0 + ((x * x) * (0.5 + ((x * x) * 0.16666666666666666)))))) / math.sqrt(math.pi)) return tmp
function code(x) t_0 = Float64(Float64(x * x) * Float64(0.5 + Float64(x * Float64(x * 0.16666666666666666)))) t_1 = Float64(Float64(x * x) * Float64(-1.0 - t_0)) tmp = 0.0 if (x <= 3.2e+51) tmp = Float64(Float64(1.0 / x) * Float64(Float64(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(1.0 + Float64(x * Float64(Float64(x * Float64(1.0 + t_0)) * t_1)))) / Float64(1.0 + t_1)) / sqrt(pi))); else tmp = Float64(Float64(1.0 / x) * 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))); end return tmp end
function tmp_2 = code(x) t_0 = (x * x) * (0.5 + (x * (x * 0.16666666666666666))); t_1 = (x * x) * (-1.0 - t_0); tmp = 0.0; if (x <= 3.2e+51) tmp = (1.0 / x) * ((((1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) * (1.0 + (x * ((x * (1.0 + t_0)) * t_1)))) / (1.0 + t_1)) / sqrt(pi)); else tmp = (1.0 / x) * ((1.0 + ((x * x) * (1.0 + ((x * x) * (0.5 + ((x * x) * 0.16666666666666666)))))) / sqrt(pi)); end tmp_2 = tmp; end
code[x_] := Block[{t$95$0 = N[(N[(x * x), $MachinePrecision] * N[(0.5 + N[(x * N[(x * 0.16666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(x * x), $MachinePrecision] * N[(-1.0 - t$95$0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, 3.2e+51], N[(N[(1.0 / x), $MachinePrecision] * N[(N[(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[(1.0 + N[(x * N[(N[(x * N[(1.0 + t$95$0), $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + t$95$1), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(1.0 / x), $MachinePrecision] * 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]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(x \cdot x\right) \cdot \left(0.5 + x \cdot \left(x \cdot 0.16666666666666666\right)\right)\\
t_1 := \left(x \cdot x\right) \cdot \left(-1 - t\_0\right)\\
\mathbf{if}\;x \leq 3.2 \cdot 10^{+51}:\\
\;\;\;\;\frac{1}{x} \cdot \frac{\frac{\left(1 + \frac{0.5 + \frac{0.75 + \frac{1.875}{x \cdot x}}{x \cdot x}}{x \cdot x}\right) \cdot \left(1 + x \cdot \left(\left(x \cdot \left(1 + t\_0\right)\right) \cdot t\_1\right)\right)}{1 + t\_1}}{\sqrt{\pi}}\\
\mathbf{else}:\\
\;\;\;\;\frac{1}{x} \cdot \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}}\\
\end{array}
\end{array}
if x < 3.2000000000000002e51Initial program 99.5%
Simplified99.6%
associate-*l/N/A
div-invN/A
*-lowering-*.f64N/A
Applied egg-rr99.6%
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-*.f646.6%
Simplified6.6%
flip-+N/A
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr56.0%
if 3.2000000000000002e51 < x Initial program 100.0%
Simplified100.0%
associate-*l/N/A
div-invN/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 simplification92.8%
(FPCore (x)
:precision binary64
(let* ((t_0 (+ 0.5 (* (* x x) 0.16666666666666666)))
(t_1 (* x (* x t_0)))
(t_2 (* (* x x) (- -1.0 t_1))))
(if (<= x 3.2e+51)
(*
(/ 1.0 x)
(/
(/
(*
(+ 1.0 (/ (+ 0.5 (/ 0.75 (* x x))) (* x x)))
(+ 1.0 (* (* (* x x) (+ 1.0 t_1)) t_2)))
(+ 1.0 t_2))
(sqrt PI)))
(* (/ 1.0 x) (/ (+ 1.0 (* (* x x) (+ 1.0 (* (* x x) t_0)))) (sqrt PI))))))
double code(double x) {
double t_0 = 0.5 + ((x * x) * 0.16666666666666666);
double t_1 = x * (x * t_0);
double t_2 = (x * x) * (-1.0 - t_1);
double tmp;
if (x <= 3.2e+51) {
tmp = (1.0 / x) * ((((1.0 + ((0.5 + (0.75 / (x * x))) / (x * x))) * (1.0 + (((x * x) * (1.0 + t_1)) * t_2))) / (1.0 + t_2)) / sqrt(((double) M_PI)));
} else {
tmp = (1.0 / x) * ((1.0 + ((x * x) * (1.0 + ((x * x) * t_0)))) / sqrt(((double) M_PI)));
}
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 = (x * x) * (-1.0 - t_1);
double tmp;
if (x <= 3.2e+51) {
tmp = (1.0 / x) * ((((1.0 + ((0.5 + (0.75 / (x * x))) / (x * x))) * (1.0 + (((x * x) * (1.0 + t_1)) * t_2))) / (1.0 + t_2)) / Math.sqrt(Math.PI));
} else {
tmp = (1.0 / x) * ((1.0 + ((x * x) * (1.0 + ((x * x) * t_0)))) / Math.sqrt(Math.PI));
}
return tmp;
}
def code(x): t_0 = 0.5 + ((x * x) * 0.16666666666666666) t_1 = x * (x * t_0) t_2 = (x * x) * (-1.0 - t_1) tmp = 0 if x <= 3.2e+51: tmp = (1.0 / x) * ((((1.0 + ((0.5 + (0.75 / (x * x))) / (x * x))) * (1.0 + (((x * x) * (1.0 + t_1)) * t_2))) / (1.0 + t_2)) / math.sqrt(math.pi)) else: tmp = (1.0 / x) * ((1.0 + ((x * x) * (1.0 + ((x * x) * t_0)))) / math.sqrt(math.pi)) 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(Float64(x * x) * Float64(-1.0 - t_1)) tmp = 0.0 if (x <= 3.2e+51) tmp = Float64(Float64(1.0 / x) * Float64(Float64(Float64(Float64(1.0 + Float64(Float64(0.5 + Float64(0.75 / Float64(x * x))) / Float64(x * x))) * Float64(1.0 + Float64(Float64(Float64(x * x) * Float64(1.0 + t_1)) * t_2))) / Float64(1.0 + t_2)) / sqrt(pi))); else tmp = Float64(Float64(1.0 / x) * Float64(Float64(1.0 + Float64(Float64(x * x) * Float64(1.0 + Float64(Float64(x * x) * t_0)))) / sqrt(pi))); 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 = (x * x) * (-1.0 - t_1); tmp = 0.0; if (x <= 3.2e+51) tmp = (1.0 / x) * ((((1.0 + ((0.5 + (0.75 / (x * x))) / (x * x))) * (1.0 + (((x * x) * (1.0 + t_1)) * t_2))) / (1.0 + t_2)) / sqrt(pi)); else tmp = (1.0 / x) * ((1.0 + ((x * x) * (1.0 + ((x * x) * t_0)))) / sqrt(pi)); 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[(N[(x * x), $MachinePrecision] * N[(-1.0 - t$95$1), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, 3.2e+51], N[(N[(1.0 / x), $MachinePrecision] * N[(N[(N[(N[(1.0 + N[(N[(0.5 + N[(0.75 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 + N[(N[(N[(x * x), $MachinePrecision] * N[(1.0 + t$95$1), $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + t$95$2), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(1.0 / x), $MachinePrecision] * 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]), $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 := \left(x \cdot x\right) \cdot \left(-1 - t\_1\right)\\
\mathbf{if}\;x \leq 3.2 \cdot 10^{+51}:\\
\;\;\;\;\frac{1}{x} \cdot \frac{\frac{\left(1 + \frac{0.5 + \frac{0.75}{x \cdot x}}{x \cdot x}\right) \cdot \left(1 + \left(\left(x \cdot x\right) \cdot \left(1 + t\_1\right)\right) \cdot t\_2\right)}{1 + t\_2}}{\sqrt{\pi}}\\
\mathbf{else}:\\
\;\;\;\;\frac{1}{x} \cdot \frac{1 + \left(x \cdot x\right) \cdot \left(1 + \left(x \cdot x\right) \cdot t\_0\right)}{\sqrt{\pi}}\\
\end{array}
\end{array}
if x < 3.2000000000000002e51Initial program 99.5%
Simplified99.6%
associate-*l/N/A
div-invN/A
*-lowering-*.f64N/A
Applied egg-rr99.6%
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-*.f646.6%
Simplified6.6%
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-*.f646.0%
Simplified6.0%
flip-+N/A
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr55.5%
if 3.2000000000000002e51 < x Initial program 100.0%
Simplified100.0%
associate-*l/N/A
div-invN/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 simplification92.7%
(FPCore (x) :precision binary64 (* (+ 1.0 (* (* x x) (+ 1.0 (* (* x x) (+ 0.5 (* x (* x 0.16666666666666666))))))) (/ (+ 1.0 (/ (+ 0.5 (/ (+ 0.75 (/ 1.875 (* x x))) (* x x))) (* x x))) (* x (sqrt PI)))))
double code(double x) {
return (1.0 + ((x * x) * (1.0 + ((x * x) * (0.5 + (x * (x * 0.16666666666666666))))))) * ((1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) / (x * sqrt(((double) M_PI))));
}
public static double code(double x) {
return (1.0 + ((x * x) * (1.0 + ((x * x) * (0.5 + (x * (x * 0.16666666666666666))))))) * ((1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) / (x * Math.sqrt(Math.PI)));
}
def code(x): return (1.0 + ((x * x) * (1.0 + ((x * x) * (0.5 + (x * (x * 0.16666666666666666))))))) * ((1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) / (x * math.sqrt(math.pi)))
function code(x) return Float64(Float64(1.0 + Float64(Float64(x * x) * Float64(1.0 + Float64(Float64(x * x) * Float64(0.5 + Float64(x * Float64(x * 0.16666666666666666))))))) * 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(x * sqrt(pi)))) end
function tmp = code(x) tmp = (1.0 + ((x * x) * (1.0 + ((x * x) * (0.5 + (x * (x * 0.16666666666666666))))))) * ((1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) / (x * sqrt(pi))); end
code[x_] := N[(N[(1.0 + N[(N[(x * x), $MachinePrecision] * N[(1.0 + N[(N[(x * x), $MachinePrecision] * N[(0.5 + N[(x * N[(x * 0.16666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 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[(x * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(1 + \left(x \cdot x\right) \cdot \left(1 + \left(x \cdot x\right) \cdot \left(0.5 + x \cdot \left(x \cdot 0.16666666666666666\right)\right)\right)\right) \cdot \frac{1 + \frac{0.5 + \frac{0.75 + \frac{1.875}{x \cdot x}}{x \cdot x}}{x \cdot x}}{x \cdot \sqrt{\pi}}
\end{array}
Initial program 99.9%
Simplified99.9%
associate-*l/N/A
div-invN/A
*-lowering-*.f64N/A
Applied egg-rr99.9%
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-*.f6484.7%
Simplified84.7%
un-div-invN/A
associate-/l*N/A
associate-/l*N/A
associate-/r*N/A
*-commutativeN/A
Applied egg-rr84.7%
(FPCore (x)
:precision binary64
(/
(*
(/ (+ 1.0 (/ (+ 0.5 (/ 0.75 (* x x))) (* x x))) (sqrt PI))
(+
1.0
(* (* x x) (+ 1.0 (* x (* x (+ 0.5 (* (* x x) 0.16666666666666666))))))))
x))
double code(double x) {
return (((1.0 + ((0.5 + (0.75 / (x * x))) / (x * x))) / sqrt(((double) M_PI))) * (1.0 + ((x * x) * (1.0 + (x * (x * (0.5 + ((x * x) * 0.16666666666666666)))))))) / x;
}
public static double code(double x) {
return (((1.0 + ((0.5 + (0.75 / (x * x))) / (x * x))) / Math.sqrt(Math.PI)) * (1.0 + ((x * x) * (1.0 + (x * (x * (0.5 + ((x * x) * 0.16666666666666666)))))))) / x;
}
def code(x): return (((1.0 + ((0.5 + (0.75 / (x * x))) / (x * x))) / math.sqrt(math.pi)) * (1.0 + ((x * x) * (1.0 + (x * (x * (0.5 + ((x * x) * 0.16666666666666666)))))))) / x
function code(x) return Float64(Float64(Float64(Float64(1.0 + Float64(Float64(0.5 + Float64(0.75 / Float64(x * x))) / Float64(x * x))) / sqrt(pi)) * Float64(1.0 + Float64(Float64(x * x) * Float64(1.0 + Float64(x * Float64(x * Float64(0.5 + Float64(Float64(x * x) * 0.16666666666666666)))))))) / x) end
function tmp = code(x) tmp = (((1.0 + ((0.5 + (0.75 / (x * x))) / (x * x))) / sqrt(pi)) * (1.0 + ((x * x) * (1.0 + (x * (x * (0.5 + ((x * x) * 0.16666666666666666)))))))) / x; end
code[x_] := N[(N[(N[(N[(1.0 + N[(N[(0.5 + N[(0.75 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(1.0 + N[(N[(x * x), $MachinePrecision] * 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] / x), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{1 + \frac{0.5 + \frac{0.75}{x \cdot x}}{x \cdot x}}{\sqrt{\pi}} \cdot \left(1 + \left(x \cdot x\right) \cdot \left(1 + x \cdot \left(x \cdot \left(0.5 + \left(x \cdot x\right) \cdot 0.16666666666666666\right)\right)\right)\right)}{x}
\end{array}
Initial program 99.9%
Simplified99.9%
associate-*l/N/A
div-invN/A
*-lowering-*.f64N/A
Applied egg-rr99.9%
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-*.f6484.7%
Simplified84.7%
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-*.f6484.6%
Simplified84.6%
Applied egg-rr84.6%
Final simplification84.6%
(FPCore (x)
:precision binary64
(*
(/ 1.0 x)
(/
(*
(+ 1.0 (/ 0.5 (* x x)))
(+
1.0
(* (* x x) (+ 1.0 (* (* x x) (+ 0.5 (* (* x x) 0.16666666666666666)))))))
(sqrt PI))))
double code(double x) {
return (1.0 / x) * (((1.0 + (0.5 / (x * x))) * (1.0 + ((x * x) * (1.0 + ((x * x) * (0.5 + ((x * x) * 0.16666666666666666))))))) / sqrt(((double) M_PI)));
}
public static double code(double x) {
return (1.0 / x) * (((1.0 + (0.5 / (x * x))) * (1.0 + ((x * x) * (1.0 + ((x * x) * (0.5 + ((x * x) * 0.16666666666666666))))))) / Math.sqrt(Math.PI));
}
def code(x): return (1.0 / x) * (((1.0 + (0.5 / (x * x))) * (1.0 + ((x * x) * (1.0 + ((x * x) * (0.5 + ((x * x) * 0.16666666666666666))))))) / math.sqrt(math.pi))
function code(x) return Float64(Float64(1.0 / x) * Float64(Float64(Float64(1.0 + Float64(0.5 / Float64(x * x))) * 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))) end
function tmp = code(x) tmp = (1.0 / x) * (((1.0 + (0.5 / (x * x))) * (1.0 + ((x * x) * (1.0 + ((x * x) * (0.5 + ((x * x) * 0.16666666666666666))))))) / sqrt(pi)); end
code[x_] := N[(N[(1.0 / x), $MachinePrecision] * N[(N[(N[(1.0 + N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 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]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{1}{x} \cdot \frac{\left(1 + \frac{0.5}{x \cdot x}\right) \cdot \left(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)\right)}{\sqrt{\pi}}
\end{array}
Initial program 99.9%
Simplified99.9%
associate-*l/N/A
div-invN/A
*-lowering-*.f64N/A
Applied egg-rr99.9%
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-*.f6484.7%
Simplified84.7%
Taylor expanded in x around inf
+-lowering-+.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6484.6%
Simplified84.6%
Final simplification84.6%
(FPCore (x)
:precision binary64
(*
(/ 1.0 x)
(/
(+
1.0
(* (* x x) (+ 1.0 (* (* x x) (+ 0.5 (* (* x x) 0.16666666666666666))))))
(sqrt PI))))
double code(double x) {
return (1.0 / x) * ((1.0 + ((x * x) * (1.0 + ((x * x) * (0.5 + ((x * x) * 0.16666666666666666)))))) / sqrt(((double) M_PI)));
}
public static double code(double x) {
return (1.0 / x) * ((1.0 + ((x * x) * (1.0 + ((x * x) * (0.5 + ((x * x) * 0.16666666666666666)))))) / Math.sqrt(Math.PI));
}
def code(x): return (1.0 / x) * ((1.0 + ((x * x) * (1.0 + ((x * x) * (0.5 + ((x * x) * 0.16666666666666666)))))) / math.sqrt(math.pi))
function code(x) return Float64(Float64(1.0 / x) * 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))) end
function tmp = code(x) tmp = (1.0 / x) * ((1.0 + ((x * x) * (1.0 + ((x * x) * (0.5 + ((x * x) * 0.16666666666666666)))))) / sqrt(pi)); end
code[x_] := N[(N[(1.0 / x), $MachinePrecision] * 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]), $MachinePrecision]
\begin{array}{l}
\\
\frac{1}{x} \cdot \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}}
\end{array}
Initial program 99.9%
Simplified99.9%
associate-*l/N/A
div-invN/A
*-lowering-*.f64N/A
Applied egg-rr99.9%
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-*.f6484.7%
Simplified84.7%
Taylor expanded in x around inf
Simplified84.6%
Final simplification84.6%
(FPCore (x) :precision binary64 (* (/ 1.0 x) (/ (* (+ 1.0 (/ (+ 0.5 (/ 0.75 (* x x))) (* x x))) (+ 1.0 (* x x))) (sqrt PI))))
double code(double x) {
return (1.0 / x) * (((1.0 + ((0.5 + (0.75 / (x * x))) / (x * x))) * (1.0 + (x * x))) / sqrt(((double) M_PI)));
}
public static double code(double x) {
return (1.0 / x) * (((1.0 + ((0.5 + (0.75 / (x * x))) / (x * x))) * (1.0 + (x * x))) / Math.sqrt(Math.PI));
}
def code(x): return (1.0 / x) * (((1.0 + ((0.5 + (0.75 / (x * x))) / (x * x))) * (1.0 + (x * x))) / math.sqrt(math.pi))
function code(x) return Float64(Float64(1.0 / x) * Float64(Float64(Float64(1.0 + Float64(Float64(0.5 + Float64(0.75 / Float64(x * x))) / Float64(x * x))) * Float64(1.0 + Float64(x * x))) / sqrt(pi))) end
function tmp = code(x) tmp = (1.0 / x) * (((1.0 + ((0.5 + (0.75 / (x * x))) / (x * x))) * (1.0 + (x * x))) / sqrt(pi)); end
code[x_] := N[(N[(1.0 / x), $MachinePrecision] * N[(N[(N[(1.0 + N[(N[(0.5 + N[(0.75 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 + N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{1}{x} \cdot \frac{\left(1 + \frac{0.5 + \frac{0.75}{x \cdot x}}{x \cdot x}\right) \cdot \left(1 + x \cdot x\right)}{\sqrt{\pi}}
\end{array}
Initial program 99.9%
Simplified99.9%
associate-*l/N/A
div-invN/A
*-lowering-*.f64N/A
Applied egg-rr99.9%
Taylor expanded in x around inf
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6498.6%
Simplified98.6%
Taylor expanded in x around 0
+-lowering-+.f64N/A
unpow2N/A
*-lowering-*.f6455.1%
Simplified55.1%
Final simplification55.1%
(FPCore (x) :precision binary64 (/ (+ 1.0 (/ 0.5 (* x x))) (/ (/ 1.0 (/ 1.0 x)) (/ (+ 1.0 (* x x)) (sqrt PI)))))
double code(double x) {
return (1.0 + (0.5 / (x * x))) / ((1.0 / (1.0 / x)) / ((1.0 + (x * x)) / sqrt(((double) M_PI))));
}
public static double code(double x) {
return (1.0 + (0.5 / (x * x))) / ((1.0 / (1.0 / x)) / ((1.0 + (x * x)) / Math.sqrt(Math.PI)));
}
def code(x): return (1.0 + (0.5 / (x * x))) / ((1.0 / (1.0 / x)) / ((1.0 + (x * x)) / math.sqrt(math.pi)))
function code(x) return Float64(Float64(1.0 + Float64(0.5 / Float64(x * x))) / Float64(Float64(1.0 / Float64(1.0 / x)) / Float64(Float64(1.0 + Float64(x * x)) / sqrt(pi)))) end
function tmp = code(x) tmp = (1.0 + (0.5 / (x * x))) / ((1.0 / (1.0 / x)) / ((1.0 + (x * x)) / sqrt(pi))); end
code[x_] := N[(N[(1.0 + N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(1.0 / N[(1.0 / x), $MachinePrecision]), $MachinePrecision] / N[(N[(1.0 + N[(x * x), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{1 + \frac{0.5}{x \cdot x}}{\frac{\frac{1}{\frac{1}{x}}}{\frac{1 + x \cdot x}{\sqrt{\pi}}}}
\end{array}
Initial program 99.9%
Simplified99.9%
Applied egg-rr99.9%
Taylor expanded in x around 0
+-lowering-+.f64N/A
unpow2N/A
*-lowering-*.f6455.2%
Simplified55.2%
Taylor expanded in x around inf
+-lowering-+.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6455.1%
Simplified55.1%
(FPCore (x) :precision binary64 (/ 1.0 (/ (/ 1.0 (/ 1.0 x)) (/ (+ 1.0 (* x x)) (sqrt PI)))))
double code(double x) {
return 1.0 / ((1.0 / (1.0 / x)) / ((1.0 + (x * x)) / sqrt(((double) M_PI))));
}
public static double code(double x) {
return 1.0 / ((1.0 / (1.0 / x)) / ((1.0 + (x * x)) / Math.sqrt(Math.PI)));
}
def code(x): return 1.0 / ((1.0 / (1.0 / x)) / ((1.0 + (x * x)) / math.sqrt(math.pi)))
function code(x) return Float64(1.0 / Float64(Float64(1.0 / Float64(1.0 / x)) / Float64(Float64(1.0 + Float64(x * x)) / sqrt(pi)))) end
function tmp = code(x) tmp = 1.0 / ((1.0 / (1.0 / x)) / ((1.0 + (x * x)) / sqrt(pi))); end
code[x_] := N[(1.0 / N[(N[(1.0 / N[(1.0 / x), $MachinePrecision]), $MachinePrecision] / N[(N[(1.0 + N[(x * x), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{1}{\frac{\frac{1}{\frac{1}{x}}}{\frac{1 + x \cdot x}{\sqrt{\pi}}}}
\end{array}
Initial program 99.9%
Simplified99.9%
Applied egg-rr99.9%
Taylor expanded in x around 0
+-lowering-+.f64N/A
unpow2N/A
*-lowering-*.f6455.2%
Simplified55.2%
Taylor expanded in x around inf
Simplified55.1%
(FPCore (x) :precision binary64 (* x (* (+ 1.0 (/ 1.5 (* x x))) (sqrt (/ 1.0 PI)))))
double code(double x) {
return x * ((1.0 + (1.5 / (x * x))) * sqrt((1.0 / ((double) M_PI))));
}
public static double code(double x) {
return x * ((1.0 + (1.5 / (x * x))) * Math.sqrt((1.0 / Math.PI)));
}
def code(x): return x * ((1.0 + (1.5 / (x * x))) * math.sqrt((1.0 / math.pi)))
function code(x) return Float64(x * Float64(Float64(1.0 + Float64(1.5 / Float64(x * x))) * sqrt(Float64(1.0 / pi)))) end
function tmp = code(x) tmp = x * ((1.0 + (1.5 / (x * x))) * sqrt((1.0 / pi))); end
code[x_] := N[(x * N[(N[(1.0 + N[(1.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(1.0 / Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
x \cdot \left(\left(1 + \frac{1.5}{x \cdot x}\right) \cdot \sqrt{\frac{1}{\pi}}\right)
\end{array}
Initial program 99.9%
Simplified99.9%
Applied egg-rr99.9%
Taylor expanded in x around 0
+-lowering-+.f64N/A
unpow2N/A
*-lowering-*.f6455.2%
Simplified55.2%
Taylor expanded in x around inf
*-lowering-*.f64N/A
associate-*r*N/A
distribute-rgt1-inN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f645.6%
Simplified5.6%
Final simplification5.6%
(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 99.9%
Simplified99.9%
Applied egg-rr99.9%
Taylor expanded in x around 0
+-lowering-+.f64N/A
unpow2N/A
*-lowering-*.f6455.2%
Simplified55.2%
Taylor expanded in x around inf
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f645.5%
Simplified5.5%
sqrt-divN/A
metadata-evalN/A
un-div-invN/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
PI-lowering-PI.f645.5%
Applied egg-rr5.5%
herbie shell --seed 2024138
(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)))))))