
(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 21 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 (* (+ 1.0 (/ (+ 0.5 (/ (+ 0.75 (/ 1.875 (* x x))) (* x x))) (* x x))) (* (/ 1.0 x) (/ (pow (exp (* x 2.0)) (/ x 2.0)) (sqrt PI)))))
double code(double x) {
return (1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) * ((1.0 / x) * (pow(exp((x * 2.0)), (x / 2.0)) / 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) * (Math.pow(Math.exp((x * 2.0)), (x / 2.0)) / 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) * (math.pow(math.exp((x * 2.0)), (x / 2.0)) / 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 / x) * Float64((exp(Float64(x * 2.0)) ^ Float64(x / 2.0)) / 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) * ((exp((x * 2.0)) ^ (x / 2.0)) / 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 / x), $MachinePrecision] * N[(N[Power[N[Exp[N[(x * 2.0), $MachinePrecision]], $MachinePrecision], N[(x / 2.0), $MachinePrecision]], $MachinePrecision] / 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 \left(\frac{1}{x} \cdot \frac{{\left(e^{x \cdot 2}\right)}^{\left(\frac{x}{2}\right)}}{\sqrt{\pi}}\right)
\end{array}
Initial program 99.9%
Simplified99.6%
*-commutativeN/A
*-lowering-*.f64N/A
Applied egg-rr100.0%
exp-prodN/A
sqr-powN/A
pow-prod-downN/A
pow-lowering-pow.f64N/A
*-lowering-*.f64N/A
exp-lowering-exp.f64N/A
exp-lowering-exp.f64N/A
/-lowering-/.f64100.0%
Applied egg-rr100.0%
rem-exp-logN/A
exp-lowering-exp.f64N/A
exp-lft-sqrN/A
rem-log-expN/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))) (pow (exp x) x)) (/ (/ 1.0 x) (sqrt PI))))
double code(double x) {
return ((1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) * pow(exp(x), x)) * ((1.0 / 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))) * Math.pow(Math.exp(x), x)) * ((1.0 / x) / Math.sqrt(Math.PI));
}
def code(x): return ((1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) * math.pow(math.exp(x), x)) * ((1.0 / x) / math.sqrt(math.pi))
function code(x) return 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(x) ^ x)) * Float64(Float64(1.0 / x) / sqrt(pi))) end
function tmp = code(x) tmp = ((1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) * (exp(x) ^ x)) * ((1.0 / x) / sqrt(pi)); end
code[x_] := 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[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 / x), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(1 + \frac{0.5 + \frac{0.75 + \frac{1.875}{x \cdot x}}{x \cdot x}}{x \cdot x}\right) \cdot {\left(e^{x}\right)}^{x}\right) \cdot \frac{\frac{1}{x}}{\sqrt{\pi}}
\end{array}
Initial program 99.9%
Simplified99.6%
associate-*l/N/A
div-invN/A
*-lowering-*.f64N/A
Applied egg-rr100.0%
exp-prodN/A
pow-lowering-pow.f64N/A
exp-lowering-exp.f64100.0%
Applied egg-rr100.0%
Final simplification100.0%
(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%
Simplified99.6%
associate-*l/N/A
div-invN/A
*-lowering-*.f64N/A
Applied egg-rr100.0%
associate-*r/N/A
un-div-invN/A
associate-/r*N/A
*-commutativeN/A
associate-/r*N/A
/-lowering-/.f64N/A
Applied egg-rr100.0%
Final simplification100.0%
(FPCore (x) :precision binary64 (* (+ 1.0 (/ (+ 0.5 (/ 0.75 (* x x))) (* x x))) (* (/ 1.0 x) (/ (exp (* x x)) (sqrt PI)))))
double code(double x) {
return (1.0 + ((0.5 + (0.75 / (x * x))) / (x * x))) * ((1.0 / x) * (exp((x * x)) / sqrt(((double) M_PI))));
}
public static double code(double x) {
return (1.0 + ((0.5 + (0.75 / (x * x))) / (x * x))) * ((1.0 / x) * (Math.exp((x * x)) / Math.sqrt(Math.PI)));
}
def code(x): return (1.0 + ((0.5 + (0.75 / (x * x))) / (x * x))) * ((1.0 / x) * (math.exp((x * x)) / math.sqrt(math.pi)))
function code(x) return Float64(Float64(1.0 + Float64(Float64(0.5 + Float64(0.75 / Float64(x * x))) / Float64(x * x))) * Float64(Float64(1.0 / x) * Float64(exp(Float64(x * x)) / sqrt(pi)))) end
function tmp = code(x) tmp = (1.0 + ((0.5 + (0.75 / (x * x))) / (x * x))) * ((1.0 / x) * (exp((x * x)) / sqrt(pi))); 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[(1.0 / x), $MachinePrecision] * N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(1 + \frac{0.5 + \frac{0.75}{x \cdot x}}{x \cdot x}\right) \cdot \left(\frac{1}{x} \cdot \frac{e^{x \cdot x}}{\sqrt{\pi}}\right)
\end{array}
Initial program 99.9%
Simplified99.6%
*-commutativeN/A
*-lowering-*.f64N/A
Applied egg-rr100.0%
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-*.f6498.7%
Simplified98.7%
(FPCore (x) :precision binary64 (* (/ (/ 1.0 x) (sqrt PI)) (* (exp (* x x)) (+ 1.0 (/ (+ 0.5 (/ 0.75 (* x x))) (* x x))))))
double code(double x) {
return ((1.0 / x) / sqrt(((double) M_PI))) * (exp((x * x)) * (1.0 + ((0.5 + (0.75 / (x * x))) / (x * x))));
}
public static double code(double x) {
return ((1.0 / x) / Math.sqrt(Math.PI)) * (Math.exp((x * x)) * (1.0 + ((0.5 + (0.75 / (x * x))) / (x * x))));
}
def code(x): return ((1.0 / x) / math.sqrt(math.pi)) * (math.exp((x * x)) * (1.0 + ((0.5 + (0.75 / (x * x))) / (x * x))))
function code(x) return Float64(Float64(Float64(1.0 / x) / sqrt(pi)) * Float64(exp(Float64(x * x)) * Float64(1.0 + Float64(Float64(0.5 + Float64(0.75 / Float64(x * x))) / Float64(x * x))))) end
function tmp = code(x) tmp = ((1.0 / x) / sqrt(pi)) * (exp((x * x)) * (1.0 + ((0.5 + (0.75 / (x * x))) / (x * x)))); end
code[x_] := N[(N[(N[(1.0 / x), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] * N[(1.0 + N[(N[(0.5 + N[(0.75 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{1}{x}}{\sqrt{\pi}} \cdot \left(e^{x \cdot x} \cdot \left(1 + \frac{0.5 + \frac{0.75}{x \cdot x}}{x \cdot x}\right)\right)
\end{array}
Initial program 99.9%
Simplified99.6%
associate-*l/N/A
div-invN/A
*-lowering-*.f64N/A
Applied egg-rr100.0%
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-*.f6498.7%
Simplified98.7%
Final simplification98.7%
(FPCore (x) :precision binary64 (* (* (/ 1.0 x) (/ (exp (* x x)) (sqrt PI))) (+ 1.0 (/ 0.5 (* x x)))))
double code(double x) {
return ((1.0 / x) * (exp((x * x)) / sqrt(((double) M_PI)))) * (1.0 + (0.5 / (x * x)));
}
public static double code(double x) {
return ((1.0 / x) * (Math.exp((x * x)) / Math.sqrt(Math.PI))) * (1.0 + (0.5 / (x * x)));
}
def code(x): return ((1.0 / x) * (math.exp((x * x)) / math.sqrt(math.pi))) * (1.0 + (0.5 / (x * x)))
function code(x) return Float64(Float64(Float64(1.0 / x) * Float64(exp(Float64(x * x)) / sqrt(pi))) * Float64(1.0 + Float64(0.5 / Float64(x * x)))) end
function tmp = code(x) tmp = ((1.0 / x) * (exp((x * x)) / sqrt(pi))) * (1.0 + (0.5 / (x * x))); end
code[x_] := N[(N[(N[(1.0 / x), $MachinePrecision] * N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 + N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{1}{x} \cdot \frac{e^{x \cdot x}}{\sqrt{\pi}}\right) \cdot \left(1 + \frac{0.5}{x \cdot x}\right)
\end{array}
Initial program 99.9%
Simplified99.6%
*-commutativeN/A
*-lowering-*.f64N/A
Applied egg-rr100.0%
Taylor expanded in x around inf
+-lowering-+.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6498.6%
Simplified98.6%
Final simplification98.6%
(FPCore (x) :precision binary64 (* (/ 1.0 x) (/ (exp (* x x)) (sqrt PI))))
double code(double x) {
return (1.0 / x) * (exp((x * x)) / sqrt(((double) M_PI)));
}
public static double code(double x) {
return (1.0 / x) * (Math.exp((x * x)) / Math.sqrt(Math.PI));
}
def code(x): return (1.0 / x) * (math.exp((x * x)) / math.sqrt(math.pi))
function code(x) return Float64(Float64(1.0 / x) * Float64(exp(Float64(x * x)) / sqrt(pi))) end
function tmp = code(x) tmp = (1.0 / x) * (exp((x * x)) / sqrt(pi)); end
code[x_] := N[(N[(1.0 / x), $MachinePrecision] * N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{1}{x} \cdot \frac{e^{x \cdot x}}{\sqrt{\pi}}
\end{array}
Initial program 99.9%
Simplified99.6%
*-commutativeN/A
*-lowering-*.f64N/A
Applied egg-rr100.0%
Taylor expanded in x around inf
Simplified98.5%
Final simplification98.5%
(FPCore (x) :precision binary64 (* (/ (/ 1.0 x) (sqrt PI)) (exp (* x x))))
double code(double x) {
return ((1.0 / x) / sqrt(((double) M_PI))) * exp((x * x));
}
public static double code(double x) {
return ((1.0 / x) / Math.sqrt(Math.PI)) * Math.exp((x * x));
}
def code(x): return ((1.0 / x) / math.sqrt(math.pi)) * math.exp((x * x))
function code(x) return Float64(Float64(Float64(1.0 / x) / sqrt(pi)) * exp(Float64(x * x))) end
function tmp = code(x) tmp = ((1.0 / x) / sqrt(pi)) * exp((x * x)); end
code[x_] := N[(N[(N[(1.0 / x), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{1}{x}}{\sqrt{\pi}} \cdot e^{x \cdot x}
\end{array}
Initial program 99.9%
Simplified99.6%
associate-*l/N/A
div-invN/A
*-lowering-*.f64N/A
Applied egg-rr100.0%
Taylor expanded in x around inf
exp-lowering-exp.f64N/A
unpow2N/A
*-lowering-*.f6498.5%
Simplified98.5%
Final simplification98.5%
(FPCore (x)
:precision binary64
(let* ((t_0 (* x (* x (+ 0.5 (* (* x x) 0.16666666666666666)))))
(t_1 (* (* x x) (+ 1.0 t_0)))
(t_2 (* (* x x) (- -1.0 t_0))))
(if (<= x 6.5e+23)
(/
(+ 1.0 (* t_1 (* t_1 t_1)))
(* (* x (sqrt PI)) (+ 1.0 (* t_1 (+ t_1 -1.0)))))
(if (<= x 3.2e+51)
(/
(*
(+ 1.0 (/ (+ 0.5 (/ (+ 0.75 (/ 1.875 (* x x))) (* x x))) (* x x)))
(/ (* (+ 1.0 (* t_1 t_2)) (/ 1.0 (+ 1.0 t_2))) x))
(sqrt PI))
(/ (/ (+ 1.0 t_1) x) (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 t_2 = (x * x) * (-1.0 - t_0);
double tmp;
if (x <= 6.5e+23) {
tmp = (1.0 + (t_1 * (t_1 * t_1))) / ((x * sqrt(((double) M_PI))) * (1.0 + (t_1 * (t_1 + -1.0))));
} else if (x <= 3.2e+51) {
tmp = ((1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) * (((1.0 + (t_1 * t_2)) * (1.0 / (1.0 + t_2))) / x)) / sqrt(((double) M_PI));
} else {
tmp = ((1.0 + t_1) / x) / 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 t_2 = (x * x) * (-1.0 - t_0);
double tmp;
if (x <= 6.5e+23) {
tmp = (1.0 + (t_1 * (t_1 * t_1))) / ((x * Math.sqrt(Math.PI)) * (1.0 + (t_1 * (t_1 + -1.0))));
} else if (x <= 3.2e+51) {
tmp = ((1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) * (((1.0 + (t_1 * t_2)) * (1.0 / (1.0 + t_2))) / x)) / Math.sqrt(Math.PI);
} else {
tmp = ((1.0 + t_1) / x) / 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) t_2 = (x * x) * (-1.0 - t_0) tmp = 0 if x <= 6.5e+23: tmp = (1.0 + (t_1 * (t_1 * t_1))) / ((x * math.sqrt(math.pi)) * (1.0 + (t_1 * (t_1 + -1.0)))) elif x <= 3.2e+51: tmp = ((1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) * (((1.0 + (t_1 * t_2)) * (1.0 / (1.0 + t_2))) / x)) / math.sqrt(math.pi) else: tmp = ((1.0 + t_1) / x) / math.sqrt(math.pi) return tmp
function code(x) t_0 = Float64(x * Float64(x * Float64(0.5 + Float64(Float64(x * x) * 0.16666666666666666)))) t_1 = Float64(Float64(x * x) * Float64(1.0 + t_0)) t_2 = Float64(Float64(x * x) * Float64(-1.0 - t_0)) tmp = 0.0 if (x <= 6.5e+23) tmp = Float64(Float64(1.0 + Float64(t_1 * Float64(t_1 * t_1))) / Float64(Float64(x * sqrt(pi)) * Float64(1.0 + Float64(t_1 * Float64(t_1 + -1.0))))); elseif (x <= 3.2e+51) tmp = 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(1.0 + Float64(t_1 * t_2)) * Float64(1.0 / Float64(1.0 + t_2))) / x)) / sqrt(pi)); else tmp = Float64(Float64(Float64(1.0 + t_1) / x) / 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); t_2 = (x * x) * (-1.0 - t_0); tmp = 0.0; if (x <= 6.5e+23) tmp = (1.0 + (t_1 * (t_1 * t_1))) / ((x * sqrt(pi)) * (1.0 + (t_1 * (t_1 + -1.0)))); elseif (x <= 3.2e+51) tmp = ((1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) * (((1.0 + (t_1 * t_2)) * (1.0 / (1.0 + t_2))) / x)) / sqrt(pi); else tmp = ((1.0 + t_1) / x) / sqrt(pi); end tmp_2 = tmp; end
code[x_] := Block[{t$95$0 = N[(x * N[(x * N[(0.5 + N[(N[(x * x), $MachinePrecision] * 0.16666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(x * x), $MachinePrecision] * N[(1.0 + t$95$0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(x * x), $MachinePrecision] * N[(-1.0 - t$95$0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, 6.5e+23], N[(N[(1.0 + N[(t$95$1 * N[(t$95$1 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(x * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(1.0 + N[(t$95$1 * N[(t$95$1 + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 3.2e+51], 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[(1.0 + N[(t$95$1 * t$95$2), $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[(1.0 + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision], N[(N[(N[(1.0 + t$95$1), $MachinePrecision] / x), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := x \cdot \left(x \cdot \left(0.5 + \left(x \cdot x\right) \cdot 0.16666666666666666\right)\right)\\
t_1 := \left(x \cdot x\right) \cdot \left(1 + t\_0\right)\\
t_2 := \left(x \cdot x\right) \cdot \left(-1 - t\_0\right)\\
\mathbf{if}\;x \leq 6.5 \cdot 10^{+23}:\\
\;\;\;\;\frac{1 + t\_1 \cdot \left(t\_1 \cdot t\_1\right)}{\left(x \cdot \sqrt{\pi}\right) \cdot \left(1 + t\_1 \cdot \left(t\_1 + -1\right)\right)}\\
\mathbf{elif}\;x \leq 3.2 \cdot 10^{+51}:\\
\;\;\;\;\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(1 + t\_1 \cdot t\_2\right) \cdot \frac{1}{1 + t\_2}}{x}}{\sqrt{\pi}}\\
\mathbf{else}:\\
\;\;\;\;\frac{\frac{1 + t\_1}{x}}{\sqrt{\pi}}\\
\end{array}
\end{array}
if x < 6.4999999999999996e23Initial program 99.2%
Simplified99.5%
*-commutativeN/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-*.f646.4%
Simplified6.4%
Taylor expanded in x around inf
Simplified5.5%
Applied egg-rr27.6%
if 6.4999999999999996e23 < x < 3.2000000000000002e51Initial program 100.0%
Simplified100.0%
*-commutativeN/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-*.f645.2%
Simplified5.2%
*-commutativeN/A
associate-*r/N/A
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr5.2%
flip-+N/A
div-invN/A
*-lowering-*.f64N/A
Applied egg-rr90.9%
if 3.2000000000000002e51 < x Initial program 100.0%
Simplified99.5%
*-commutativeN/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%
*-lft-identityN/A
*-commutativeN/A
distribute-lft-inN/A
associate-*r*N/A
distribute-lft-inN/A
associate-*r*N/A
associate-*l/N/A
div-invN/A
Applied egg-rr100.0%
Final simplification91.9%
(FPCore (x)
:precision binary64
(let* ((t_0 (* x (* x (+ 0.5 (* (* x x) 0.16666666666666666)))))
(t_1 (* (* x x) (+ 1.0 t_0)))
(t_2 (* (* x x) (- -1.0 t_0))))
(if (<= x 3.2e+51)
(/
(*
(+ 1.0 (/ (+ 0.5 (/ (+ 0.75 (/ 1.875 (* x x))) (* x x))) (* x x)))
(/ (* (+ 1.0 (* t_1 t_2)) (/ 1.0 (+ 1.0 t_2))) x))
(sqrt PI))
(/ (/ (+ 1.0 t_1) x) (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 t_2 = (x * x) * (-1.0 - t_0);
double tmp;
if (x <= 3.2e+51) {
tmp = ((1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) * (((1.0 + (t_1 * t_2)) * (1.0 / (1.0 + t_2))) / x)) / sqrt(((double) M_PI));
} else {
tmp = ((1.0 + t_1) / x) / 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 t_2 = (x * x) * (-1.0 - t_0);
double tmp;
if (x <= 3.2e+51) {
tmp = ((1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) * (((1.0 + (t_1 * t_2)) * (1.0 / (1.0 + t_2))) / x)) / Math.sqrt(Math.PI);
} else {
tmp = ((1.0 + t_1) / x) / 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) t_2 = (x * x) * (-1.0 - t_0) tmp = 0 if x <= 3.2e+51: tmp = ((1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) * (((1.0 + (t_1 * t_2)) * (1.0 / (1.0 + t_2))) / x)) / math.sqrt(math.pi) else: tmp = ((1.0 + t_1) / x) / math.sqrt(math.pi) return tmp
function code(x) t_0 = Float64(x * Float64(x * Float64(0.5 + Float64(Float64(x * x) * 0.16666666666666666)))) t_1 = Float64(Float64(x * x) * Float64(1.0 + t_0)) t_2 = Float64(Float64(x * x) * Float64(-1.0 - t_0)) tmp = 0.0 if (x <= 3.2e+51) tmp = 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(1.0 + Float64(t_1 * t_2)) * Float64(1.0 / Float64(1.0 + t_2))) / x)) / sqrt(pi)); else tmp = Float64(Float64(Float64(1.0 + t_1) / x) / 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); t_2 = (x * x) * (-1.0 - t_0); 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 + (t_1 * t_2)) * (1.0 / (1.0 + t_2))) / x)) / sqrt(pi); else tmp = ((1.0 + t_1) / x) / sqrt(pi); end tmp_2 = tmp; end
code[x_] := Block[{t$95$0 = N[(x * N[(x * N[(0.5 + N[(N[(x * x), $MachinePrecision] * 0.16666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(x * x), $MachinePrecision] * N[(1.0 + t$95$0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(x * x), $MachinePrecision] * N[(-1.0 - t$95$0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, 3.2e+51], 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[(1.0 + N[(t$95$1 * t$95$2), $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[(1.0 + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision], N[(N[(N[(1.0 + t$95$1), $MachinePrecision] / x), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := x \cdot \left(x \cdot \left(0.5 + \left(x \cdot x\right) \cdot 0.16666666666666666\right)\right)\\
t_1 := \left(x \cdot x\right) \cdot \left(1 + t\_0\right)\\
t_2 := \left(x \cdot x\right) \cdot \left(-1 - t\_0\right)\\
\mathbf{if}\;x \leq 3.2 \cdot 10^{+51}:\\
\;\;\;\;\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(1 + t\_1 \cdot t\_2\right) \cdot \frac{1}{1 + t\_2}}{x}}{\sqrt{\pi}}\\
\mathbf{else}:\\
\;\;\;\;\frac{\frac{1 + t\_1}{x}}{\sqrt{\pi}}\\
\end{array}
\end{array}
if x < 3.2000000000000002e51Initial program 99.6%
Simplified99.7%
*-commutativeN/A
*-lowering-*.f64N/A
Applied egg-rr99.8%
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-*.f645.9%
Simplified5.9%
*-commutativeN/A
associate-*r/N/A
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr5.9%
flip-+N/A
div-invN/A
*-lowering-*.f64N/A
Applied egg-rr44.1%
if 3.2000000000000002e51 < x Initial program 100.0%
Simplified99.5%
*-commutativeN/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%
*-lft-identityN/A
*-commutativeN/A
distribute-lft-inN/A
associate-*r*N/A
distribute-lft-inN/A
associate-*r*N/A
associate-*l/N/A
div-invN/A
Applied egg-rr100.0%
Final simplification89.7%
(FPCore (x)
:precision binary64
(let* ((t_0 (+ 0.5 (* (* x x) 0.16666666666666666)))
(t_1 (* t_0 (* t_0 (* (* x x) (* x x)))))
(t_2 (* x (* x t_0))))
(if (<= x 1e+31)
(*
(/ 1.0 x)
(/
(+ 1.0 (/ (* (* x x) (+ 1.0 (* t_2 t_1))) (+ 1.0 (* t_2 (+ t_2 -1.0)))))
(sqrt PI)))
(if (<= x 5e+61)
(*
(/ 1.0 x)
(/ (+ 1.0 (/ (* (* x x) (- 1.0 t_1)) (- 1.0 t_2))) (sqrt PI)))
(/ (* 0.16666666666666666 (* x (* x (* x (* x x))))) (sqrt PI))))))
double code(double x) {
double t_0 = 0.5 + ((x * x) * 0.16666666666666666);
double t_1 = t_0 * (t_0 * ((x * x) * (x * x)));
double t_2 = x * (x * t_0);
double tmp;
if (x <= 1e+31) {
tmp = (1.0 / x) * ((1.0 + (((x * x) * (1.0 + (t_2 * t_1))) / (1.0 + (t_2 * (t_2 + -1.0))))) / sqrt(((double) M_PI)));
} else if (x <= 5e+61) {
tmp = (1.0 / x) * ((1.0 + (((x * x) * (1.0 - t_1)) / (1.0 - t_2))) / sqrt(((double) M_PI)));
} else {
tmp = (0.16666666666666666 * (x * (x * (x * (x * x))))) / sqrt(((double) M_PI));
}
return tmp;
}
public static double code(double x) {
double t_0 = 0.5 + ((x * x) * 0.16666666666666666);
double t_1 = t_0 * (t_0 * ((x * x) * (x * x)));
double t_2 = x * (x * t_0);
double tmp;
if (x <= 1e+31) {
tmp = (1.0 / x) * ((1.0 + (((x * x) * (1.0 + (t_2 * t_1))) / (1.0 + (t_2 * (t_2 + -1.0))))) / Math.sqrt(Math.PI));
} else if (x <= 5e+61) {
tmp = (1.0 / x) * ((1.0 + (((x * x) * (1.0 - t_1)) / (1.0 - t_2))) / Math.sqrt(Math.PI));
} else {
tmp = (0.16666666666666666 * (x * (x * (x * (x * x))))) / Math.sqrt(Math.PI);
}
return tmp;
}
def code(x): t_0 = 0.5 + ((x * x) * 0.16666666666666666) t_1 = t_0 * (t_0 * ((x * x) * (x * x))) t_2 = x * (x * t_0) tmp = 0 if x <= 1e+31: tmp = (1.0 / x) * ((1.0 + (((x * x) * (1.0 + (t_2 * t_1))) / (1.0 + (t_2 * (t_2 + -1.0))))) / math.sqrt(math.pi)) elif x <= 5e+61: tmp = (1.0 / x) * ((1.0 + (((x * x) * (1.0 - t_1)) / (1.0 - t_2))) / math.sqrt(math.pi)) else: tmp = (0.16666666666666666 * (x * (x * (x * (x * x))))) / math.sqrt(math.pi) return tmp
function code(x) t_0 = Float64(0.5 + Float64(Float64(x * x) * 0.16666666666666666)) t_1 = Float64(t_0 * Float64(t_0 * Float64(Float64(x * x) * Float64(x * x)))) t_2 = Float64(x * Float64(x * t_0)) tmp = 0.0 if (x <= 1e+31) tmp = Float64(Float64(1.0 / x) * Float64(Float64(1.0 + Float64(Float64(Float64(x * x) * Float64(1.0 + Float64(t_2 * t_1))) / Float64(1.0 + Float64(t_2 * Float64(t_2 + -1.0))))) / sqrt(pi))); elseif (x <= 5e+61) tmp = Float64(Float64(1.0 / x) * Float64(Float64(1.0 + Float64(Float64(Float64(x * x) * Float64(1.0 - t_1)) / Float64(1.0 - t_2))) / sqrt(pi))); else tmp = Float64(Float64(0.16666666666666666 * Float64(x * Float64(x * Float64(x * Float64(x * x))))) / sqrt(pi)); end return tmp end
function tmp_2 = code(x) t_0 = 0.5 + ((x * x) * 0.16666666666666666); t_1 = t_0 * (t_0 * ((x * x) * (x * x))); t_2 = x * (x * t_0); tmp = 0.0; if (x <= 1e+31) tmp = (1.0 / x) * ((1.0 + (((x * x) * (1.0 + (t_2 * t_1))) / (1.0 + (t_2 * (t_2 + -1.0))))) / sqrt(pi)); elseif (x <= 5e+61) tmp = (1.0 / x) * ((1.0 + (((x * x) * (1.0 - t_1)) / (1.0 - t_2))) / sqrt(pi)); else tmp = (0.16666666666666666 * (x * (x * (x * (x * x))))) / 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[(t$95$0 * N[(t$95$0 * N[(N[(x * x), $MachinePrecision] * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(x * N[(x * t$95$0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, 1e+31], N[(N[(1.0 / x), $MachinePrecision] * N[(N[(1.0 + N[(N[(N[(x * x), $MachinePrecision] * N[(1.0 + N[(t$95$2 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(t$95$2 * N[(t$95$2 + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 5e+61], N[(N[(1.0 / x), $MachinePrecision] * N[(N[(1.0 + N[(N[(N[(x * x), $MachinePrecision] * N[(1.0 - t$95$1), $MachinePrecision]), $MachinePrecision] / N[(1.0 - t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(0.16666666666666666 * N[(x * N[(x * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 + \left(x \cdot x\right) \cdot 0.16666666666666666\\
t_1 := t\_0 \cdot \left(t\_0 \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right)\\
t_2 := x \cdot \left(x \cdot t\_0\right)\\
\mathbf{if}\;x \leq 10^{+31}:\\
\;\;\;\;\frac{1}{x} \cdot \frac{1 + \frac{\left(x \cdot x\right) \cdot \left(1 + t\_2 \cdot t\_1\right)}{1 + t\_2 \cdot \left(t\_2 + -1\right)}}{\sqrt{\pi}}\\
\mathbf{elif}\;x \leq 5 \cdot 10^{+61}:\\
\;\;\;\;\frac{1}{x} \cdot \frac{1 + \frac{\left(x \cdot x\right) \cdot \left(1 - t\_1\right)}{1 - t\_2}}{\sqrt{\pi}}\\
\mathbf{else}:\\
\;\;\;\;\frac{0.16666666666666666 \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right)}{\sqrt{\pi}}\\
\end{array}
\end{array}
if x < 9.9999999999999996e30Initial program 99.4%
Simplified99.6%
*-commutativeN/A
*-lowering-*.f64N/A
Applied egg-rr99.7%
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-*.f646.0%
Simplified6.0%
Taylor expanded in x around inf
Simplified5.3%
distribute-lft-inN/A
associate-*r*N/A
distribute-lft-inN/A
*-commutativeN/A
flip3-+N/A
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr26.2%
if 9.9999999999999996e30 < x < 5.00000000000000018e61Initial program 100.0%
Simplified100.0%
*-commutativeN/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-*.f6445.5%
Simplified45.5%
Taylor expanded in x around inf
Simplified45.5%
*-commutativeN/A
associate-*r*N/A
flip-+N/A
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr100.0%
if 5.00000000000000018e61 < x Initial program 100.0%
Simplified99.5%
*-commutativeN/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%
*-commutativeN/A
associate-*r/N/A
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr100.0%
Taylor expanded in x around inf
*-lowering-*.f64N/A
metadata-evalN/A
pow-plusN/A
*-lowering-*.f64N/A
metadata-evalN/A
pow-sqrN/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64100.0%
Simplified100.0%
Final simplification90.8%
(FPCore (x)
:precision binary64
(let* ((t_0 (* x (* x (+ 0.5 (* (* x x) 0.16666666666666666)))))
(t_1 (* (* x x) (- -1.0 t_0)))
(t_2 (* (* x x) (+ 1.0 t_0))))
(if (<= x 1.3e+44)
(/ (+ 1.0 (* t_2 t_1)) (* (* x (sqrt PI)) (+ 1.0 t_1)))
(/ (/ (+ 1.0 t_2) x) (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 t_2 = (x * x) * (1.0 + t_0);
double tmp;
if (x <= 1.3e+44) {
tmp = (1.0 + (t_2 * t_1)) / ((x * sqrt(((double) M_PI))) * (1.0 + t_1));
} else {
tmp = ((1.0 + t_2) / x) / 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 t_2 = (x * x) * (1.0 + t_0);
double tmp;
if (x <= 1.3e+44) {
tmp = (1.0 + (t_2 * t_1)) / ((x * Math.sqrt(Math.PI)) * (1.0 + t_1));
} else {
tmp = ((1.0 + t_2) / x) / 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) t_2 = (x * x) * (1.0 + t_0) tmp = 0 if x <= 1.3e+44: tmp = (1.0 + (t_2 * t_1)) / ((x * math.sqrt(math.pi)) * (1.0 + t_1)) else: tmp = ((1.0 + t_2) / x) / math.sqrt(math.pi) return tmp
function code(x) t_0 = Float64(x * Float64(x * Float64(0.5 + Float64(Float64(x * x) * 0.16666666666666666)))) t_1 = Float64(Float64(x * x) * Float64(-1.0 - t_0)) t_2 = Float64(Float64(x * x) * Float64(1.0 + t_0)) tmp = 0.0 if (x <= 1.3e+44) tmp = Float64(Float64(1.0 + Float64(t_2 * t_1)) / Float64(Float64(x * sqrt(pi)) * Float64(1.0 + t_1))); else tmp = Float64(Float64(Float64(1.0 + t_2) / x) / 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); t_2 = (x * x) * (1.0 + t_0); tmp = 0.0; if (x <= 1.3e+44) tmp = (1.0 + (t_2 * t_1)) / ((x * sqrt(pi)) * (1.0 + t_1)); else tmp = ((1.0 + t_2) / x) / sqrt(pi); end tmp_2 = tmp; end
code[x_] := Block[{t$95$0 = N[(x * N[(x * N[(0.5 + N[(N[(x * x), $MachinePrecision] * 0.16666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(x * x), $MachinePrecision] * N[(-1.0 - t$95$0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(x * x), $MachinePrecision] * N[(1.0 + t$95$0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, 1.3e+44], N[(N[(1.0 + N[(t$95$2 * t$95$1), $MachinePrecision]), $MachinePrecision] / N[(N[(x * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(1.0 + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(1.0 + t$95$2), $MachinePrecision] / x), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := x \cdot \left(x \cdot \left(0.5 + \left(x \cdot x\right) \cdot 0.16666666666666666\right)\right)\\
t_1 := \left(x \cdot x\right) \cdot \left(-1 - t\_0\right)\\
t_2 := \left(x \cdot x\right) \cdot \left(1 + t\_0\right)\\
\mathbf{if}\;x \leq 1.3 \cdot 10^{+44}:\\
\;\;\;\;\frac{1 + t\_2 \cdot t\_1}{\left(x \cdot \sqrt{\pi}\right) \cdot \left(1 + t\_1\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\frac{1 + t\_2}{x}}{\sqrt{\pi}}\\
\end{array}
\end{array}
if x < 1.3e44Initial program 99.6%
Simplified99.7%
*-commutativeN/A
*-lowering-*.f64N/A
Applied egg-rr99.8%
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-*.f645.8%
Simplified5.8%
Taylor expanded in x around inf
Simplified5.3%
*-lft-identityN/A
frac-timesN/A
distribute-lft-inN/A
associate-*r*N/A
distribute-lft-inN/A
associate-*r*N/A
*-lft-identityN/A
Applied egg-rr41.1%
if 1.3e44 < x Initial program 100.0%
Simplified99.5%
*-commutativeN/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-*.f6499.1%
Simplified99.1%
Taylor expanded in x around inf
Simplified99.1%
*-lft-identityN/A
*-commutativeN/A
distribute-lft-inN/A
associate-*r*N/A
distribute-lft-inN/A
associate-*r*N/A
associate-*l/N/A
div-invN/A
Applied egg-rr99.1%
Final simplification88.9%
(FPCore (x)
:precision binary64
(let* ((t_0 (+ 0.5 (* (* x x) 0.16666666666666666))))
(if (<= x 5e+61)
(*
(/ 1.0 x)
(/
(+
1.0
(/
(* (* x x) (- 1.0 (* t_0 (* t_0 (* (* x x) (* x x))))))
(- 1.0 (* x (* x t_0)))))
(sqrt PI)))
(/ (* 0.16666666666666666 (* x (* x (* x (* x x))))) (sqrt PI)))))
double code(double x) {
double t_0 = 0.5 + ((x * x) * 0.16666666666666666);
double tmp;
if (x <= 5e+61) {
tmp = (1.0 / x) * ((1.0 + (((x * x) * (1.0 - (t_0 * (t_0 * ((x * x) * (x * x)))))) / (1.0 - (x * (x * t_0))))) / sqrt(((double) M_PI)));
} else {
tmp = (0.16666666666666666 * (x * (x * (x * (x * x))))) / sqrt(((double) M_PI));
}
return tmp;
}
public static double code(double x) {
double t_0 = 0.5 + ((x * x) * 0.16666666666666666);
double tmp;
if (x <= 5e+61) {
tmp = (1.0 / x) * ((1.0 + (((x * x) * (1.0 - (t_0 * (t_0 * ((x * x) * (x * x)))))) / (1.0 - (x * (x * t_0))))) / Math.sqrt(Math.PI));
} else {
tmp = (0.16666666666666666 * (x * (x * (x * (x * x))))) / Math.sqrt(Math.PI);
}
return tmp;
}
def code(x): t_0 = 0.5 + ((x * x) * 0.16666666666666666) tmp = 0 if x <= 5e+61: tmp = (1.0 / x) * ((1.0 + (((x * x) * (1.0 - (t_0 * (t_0 * ((x * x) * (x * x)))))) / (1.0 - (x * (x * t_0))))) / math.sqrt(math.pi)) else: tmp = (0.16666666666666666 * (x * (x * (x * (x * x))))) / math.sqrt(math.pi) return tmp
function code(x) t_0 = Float64(0.5 + Float64(Float64(x * x) * 0.16666666666666666)) tmp = 0.0 if (x <= 5e+61) tmp = Float64(Float64(1.0 / x) * Float64(Float64(1.0 + Float64(Float64(Float64(x * x) * Float64(1.0 - Float64(t_0 * Float64(t_0 * Float64(Float64(x * x) * Float64(x * x)))))) / Float64(1.0 - Float64(x * Float64(x * t_0))))) / sqrt(pi))); else tmp = Float64(Float64(0.16666666666666666 * Float64(x * Float64(x * Float64(x * Float64(x * x))))) / sqrt(pi)); end return tmp end
function tmp_2 = code(x) t_0 = 0.5 + ((x * x) * 0.16666666666666666); tmp = 0.0; if (x <= 5e+61) tmp = (1.0 / x) * ((1.0 + (((x * x) * (1.0 - (t_0 * (t_0 * ((x * x) * (x * x)))))) / (1.0 - (x * (x * t_0))))) / sqrt(pi)); else tmp = (0.16666666666666666 * (x * (x * (x * (x * x))))) / 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]}, If[LessEqual[x, 5e+61], N[(N[(1.0 / x), $MachinePrecision] * N[(N[(1.0 + N[(N[(N[(x * x), $MachinePrecision] * N[(1.0 - N[(t$95$0 * N[(t$95$0 * N[(N[(x * x), $MachinePrecision] * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 - N[(x * N[(x * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(0.16666666666666666 * N[(x * N[(x * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 + \left(x \cdot x\right) \cdot 0.16666666666666666\\
\mathbf{if}\;x \leq 5 \cdot 10^{+61}:\\
\;\;\;\;\frac{1}{x} \cdot \frac{1 + \frac{\left(x \cdot x\right) \cdot \left(1 - t\_0 \cdot \left(t\_0 \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right)\right)}{1 - x \cdot \left(x \cdot t\_0\right)}}{\sqrt{\pi}}\\
\mathbf{else}:\\
\;\;\;\;\frac{0.16666666666666666 \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right)}{\sqrt{\pi}}\\
\end{array}
\end{array}
if x < 5.00000000000000018e61Initial program 99.7%
Simplified99.8%
*-commutativeN/A
*-lowering-*.f64N/A
Applied egg-rr99.8%
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-*.f6423.7%
Simplified23.7%
Taylor expanded in x around inf
Simplified23.3%
*-commutativeN/A
associate-*r*N/A
flip-+N/A
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr47.8%
if 5.00000000000000018e61 < x Initial program 100.0%
Simplified99.5%
*-commutativeN/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%
*-commutativeN/A
associate-*r/N/A
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr100.0%
Taylor expanded in x around inf
*-lowering-*.f64N/A
metadata-evalN/A
pow-plusN/A
*-lowering-*.f64N/A
metadata-evalN/A
pow-sqrN/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64100.0%
Simplified100.0%
Final simplification88.2%
(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(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(x * Float64(x * 0.16666666666666666))))))))) / 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[(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[(x * N[(x * 0.16666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\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 + x \cdot \left(x \cdot 0.16666666666666666\right)\right)\right)\right)\right)}{x}}{\sqrt{\pi}}
\end{array}
Initial program 99.9%
Simplified99.6%
*-commutativeN/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-*.f6482.7%
Simplified82.7%
*-commutativeN/A
associate-*r/N/A
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr82.7%
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f6482.7%
Applied egg-rr82.7%
Final simplification82.7%
(FPCore (x)
:precision binary64
(*
(/ (/ 1.0 x) (sqrt PI))
(*
(+ 1.0 (/ (+ 0.5 (/ 0.75 (* x x))) (* x x)))
(+
1.0
(* (* x x) (+ 1.0 (* x (* x (+ 0.5 (* (* x x) 0.16666666666666666))))))))))
double code(double x) {
return ((1.0 / x) / sqrt(((double) M_PI))) * ((1.0 + ((0.5 + (0.75 / (x * x))) / (x * x))) * (1.0 + ((x * x) * (1.0 + (x * (x * (0.5 + ((x * x) * 0.16666666666666666))))))));
}
public static double code(double x) {
return ((1.0 / x) / Math.sqrt(Math.PI)) * ((1.0 + ((0.5 + (0.75 / (x * x))) / (x * x))) * (1.0 + ((x * x) * (1.0 + (x * (x * (0.5 + ((x * x) * 0.16666666666666666))))))));
}
def code(x): return ((1.0 / x) / math.sqrt(math.pi)) * ((1.0 + ((0.5 + (0.75 / (x * x))) / (x * x))) * (1.0 + ((x * x) * (1.0 + (x * (x * (0.5 + ((x * x) * 0.16666666666666666))))))))
function code(x) return Float64(Float64(Float64(1.0 / x) / sqrt(pi)) * Float64(Float64(1.0 + Float64(Float64(0.5 + Float64(0.75 / Float64(x * x))) / Float64(x * x))) * Float64(1.0 + Float64(Float64(x * x) * Float64(1.0 + Float64(x * Float64(x * Float64(0.5 + Float64(Float64(x * x) * 0.16666666666666666))))))))) end
function tmp = code(x) tmp = ((1.0 / x) / sqrt(pi)) * ((1.0 + ((0.5 + (0.75 / (x * x))) / (x * x))) * (1.0 + ((x * x) * (1.0 + (x * (x * (0.5 + ((x * x) * 0.16666666666666666)))))))); end
code[x_] := N[(N[(N[(1.0 / x), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * 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[(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]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{1}{x}}{\sqrt{\pi}} \cdot \left(\left(1 + \frac{0.5 + \frac{0.75}{x \cdot x}}{x \cdot x}\right) \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)\right)
\end{array}
Initial program 99.9%
Simplified99.6%
associate-*l/N/A
div-invN/A
*-lowering-*.f64N/A
Applied egg-rr100.0%
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-*.f6498.7%
Simplified98.7%
Taylor expanded in x around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6482.6%
Simplified82.6%
Final simplification82.6%
(FPCore (x)
:precision binary64
(/
(*
(+ 1.0 (/ 0.5 (* 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 / (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 / (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 / (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(Float64(1.0 + Float64(0.5 / 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)))))))) / x)) / sqrt(pi)) 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)))))))) / x)) / sqrt(pi); end
code[x_] := N[(N[(N[(1.0 + N[(0.5 / 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] / x), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\left(1 + \frac{0.5}{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}}{\sqrt{\pi}}
\end{array}
Initial program 99.9%
Simplified99.6%
*-commutativeN/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-*.f6482.7%
Simplified82.7%
*-commutativeN/A
associate-*r/N/A
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr82.7%
Taylor expanded in x around inf
+-lowering-+.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6482.6%
Simplified82.6%
Final simplification82.6%
(FPCore (x)
:precision binary64
(/
(/
(+
1.0
(* (* x x) (+ 1.0 (* x (* x (+ 0.5 (* (* x x) 0.16666666666666666)))))))
x)
(sqrt PI)))
double code(double x) {
return ((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 + ((x * x) * (1.0 + (x * (x * (0.5 + ((x * x) * 0.16666666666666666))))))) / x) / Math.sqrt(Math.PI);
}
def code(x): return ((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(Float64(1.0 + Float64(Float64(x * x) * Float64(1.0 + Float64(x * Float64(x * Float64(0.5 + Float64(Float64(x * x) * 0.16666666666666666))))))) / x) / sqrt(pi)) end
function tmp = code(x) tmp = ((1.0 + ((x * x) * (1.0 + (x * (x * (0.5 + ((x * x) * 0.16666666666666666))))))) / x) / sqrt(pi); end
code[x_] := N[(N[(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] / x), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{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)}{x}}{\sqrt{\pi}}
\end{array}
Initial program 99.9%
Simplified99.6%
*-commutativeN/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-*.f6482.7%
Simplified82.7%
Taylor expanded in x around inf
Simplified82.6%
*-lft-identityN/A
*-commutativeN/A
distribute-lft-inN/A
associate-*r*N/A
distribute-lft-inN/A
associate-*r*N/A
associate-*l/N/A
div-invN/A
Applied egg-rr82.6%
(FPCore (x) :precision binary64 (/ (* (* x (* x (* x (* x x)))) (+ 0.16666666666666666 (/ 0.5833333333333334 (* x x)))) (sqrt PI)))
double code(double x) {
return ((x * (x * (x * (x * x)))) * (0.16666666666666666 + (0.5833333333333334 / (x * x)))) / sqrt(((double) M_PI));
}
public static double code(double x) {
return ((x * (x * (x * (x * x)))) * (0.16666666666666666 + (0.5833333333333334 / (x * x)))) / Math.sqrt(Math.PI);
}
def code(x): return ((x * (x * (x * (x * x)))) * (0.16666666666666666 + (0.5833333333333334 / (x * x)))) / math.sqrt(math.pi)
function code(x) return Float64(Float64(Float64(x * Float64(x * Float64(x * Float64(x * x)))) * Float64(0.16666666666666666 + Float64(0.5833333333333334 / Float64(x * x)))) / sqrt(pi)) end
function tmp = code(x) tmp = ((x * (x * (x * (x * x)))) * (0.16666666666666666 + (0.5833333333333334 / (x * x)))) / sqrt(pi); end
code[x_] := N[(N[(N[(x * N[(x * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(0.16666666666666666 + N[(0.5833333333333334 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot \left(0.16666666666666666 + \frac{0.5833333333333334}{x \cdot x}\right)}{\sqrt{\pi}}
\end{array}
Initial program 99.9%
Simplified99.6%
*-commutativeN/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-*.f6482.7%
Simplified82.7%
*-commutativeN/A
associate-*r/N/A
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr82.7%
Taylor expanded in x around inf
*-lowering-*.f64N/A
metadata-evalN/A
pow-plusN/A
*-lowering-*.f64N/A
metadata-evalN/A
pow-sqrN/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6478.8%
Simplified78.8%
Final simplification78.8%
(FPCore (x) :precision binary64 (/ (* 0.16666666666666666 (* x (* x (* x (* x x))))) (sqrt PI)))
double code(double x) {
return (0.16666666666666666 * (x * (x * (x * (x * x))))) / sqrt(((double) M_PI));
}
public static double code(double x) {
return (0.16666666666666666 * (x * (x * (x * (x * x))))) / Math.sqrt(Math.PI);
}
def code(x): return (0.16666666666666666 * (x * (x * (x * (x * x))))) / math.sqrt(math.pi)
function code(x) return Float64(Float64(0.16666666666666666 * Float64(x * Float64(x * Float64(x * Float64(x * x))))) / sqrt(pi)) end
function tmp = code(x) tmp = (0.16666666666666666 * (x * (x * (x * (x * x))))) / sqrt(pi); end
code[x_] := N[(N[(0.16666666666666666 * N[(x * N[(x * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{0.16666666666666666 \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right)}{\sqrt{\pi}}
\end{array}
Initial program 99.9%
Simplified99.6%
*-commutativeN/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-*.f6482.7%
Simplified82.7%
*-commutativeN/A
associate-*r/N/A
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr82.7%
Taylor expanded in x around inf
*-lowering-*.f64N/A
metadata-evalN/A
pow-plusN/A
*-lowering-*.f64N/A
metadata-evalN/A
pow-sqrN/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6478.8%
Simplified78.8%
Final simplification78.8%
(FPCore (x) :precision binary64 (* (sqrt (/ 1.0 PI)) (/ (+ 1.0 (* x x)) x)))
double code(double x) {
return sqrt((1.0 / ((double) M_PI))) * ((1.0 + (x * x)) / x);
}
public static double code(double x) {
return Math.sqrt((1.0 / Math.PI)) * ((1.0 + (x * x)) / x);
}
def code(x): return math.sqrt((1.0 / math.pi)) * ((1.0 + (x * x)) / x)
function code(x) return Float64(sqrt(Float64(1.0 / pi)) * Float64(Float64(1.0 + Float64(x * x)) / x)) end
function tmp = code(x) tmp = sqrt((1.0 / pi)) * ((1.0 + (x * x)) / x); end
code[x_] := N[(N[Sqrt[N[(1.0 / Pi), $MachinePrecision]], $MachinePrecision] * N[(N[(1.0 + N[(x * x), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt{\frac{1}{\pi}} \cdot \frac{1 + x \cdot x}{x}
\end{array}
Initial program 99.9%
Simplified99.6%
*-commutativeN/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-*.f6482.7%
Simplified82.7%
Taylor expanded in x around inf
Simplified82.6%
Taylor expanded in x around 0
*-lft-identityN/A
distribute-rgt-inN/A
associate-/l*N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
unpow2N/A
*-lowering-*.f6450.6%
Simplified50.6%
(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%
Simplified99.6%
*-commutativeN/A
*-lowering-*.f64N/A
Applied egg-rr100.0%
Taylor expanded in x around 0
+-lowering-+.f64N/A
unpow2N/A
*-lowering-*.f6450.6%
Simplified50.6%
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 2024191
(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)))))))