
(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 24 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 x) (/ (sqrt PI) (pow (exp (* x 2.0)) (/ x 2.0)))) (+ 1.0 (/ (+ 0.5 (/ (+ 0.75 (/ 1.875 (* x x))) (* x x))) (* x x)))))
double code(double x) {
return ((1.0 / x) / (sqrt(((double) M_PI)) / pow(exp((x * 2.0)), (x / 2.0)))) * (1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x)));
}
public static double code(double x) {
return ((1.0 / x) / (Math.sqrt(Math.PI) / Math.pow(Math.exp((x * 2.0)), (x / 2.0)))) * (1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x)));
}
def code(x): return ((1.0 / x) / (math.sqrt(math.pi) / math.pow(math.exp((x * 2.0)), (x / 2.0)))) * (1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x)))
function code(x) return Float64(Float64(Float64(1.0 / x) / Float64(sqrt(pi) / (exp(Float64(x * 2.0)) ^ Float64(x / 2.0)))) * Float64(1.0 + Float64(Float64(0.5 + Float64(Float64(0.75 + Float64(1.875 / Float64(x * x))) / Float64(x * x))) / Float64(x * x)))) end
function tmp = code(x) tmp = ((1.0 / x) / (sqrt(pi) / (exp((x * 2.0)) ^ (x / 2.0)))) * (1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))); end
code[x_] := N[(N[(N[(1.0 / x), $MachinePrecision] / N[(N[Sqrt[Pi], $MachinePrecision] / N[Power[N[Exp[N[(x * 2.0), $MachinePrecision]], $MachinePrecision], N[(x / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 + N[(N[(0.5 + N[(N[(0.75 + N[(1.875 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{1}{x}}{\frac{\sqrt{\pi}}{{\left(e^{x \cdot 2}\right)}^{\left(\frac{x}{2}\right)}}} \cdot \left(1 + \frac{0.5 + \frac{0.75 + \frac{1.875}{x \cdot x}}{x \cdot x}}{x \cdot x}\right)
\end{array}
Initial program 99.9%
Simplified99.9%
*-lowering-*.f64N/A
Applied egg-rr99.9%
exp-prodN/A
pow-lowering-pow.f64N/A
exp-lowering-exp.f64100.0%
Applied egg-rr100.0%
sqr-powN/A
pow-prod-downN/A
pow-lowering-pow.f64N/A
pow2N/A
pow-lowering-pow.f64N/A
exp-lowering-exp.f64N/A
/-lowering-/.f64100.0%
Applied egg-rr100.0%
pow-lowering-pow.f64N/A
pow-expN/A
rem-log-expN/A
pow-expN/A
exp-lowering-exp.f64N/A
pow-expN/A
rem-log-expN/A
*-lowering-*.f64N/A
/-lowering-/.f64100.0%
Applied egg-rr100.0%
(FPCore (x) :precision binary64 (* (+ 1.0 (/ (+ 0.5 (/ (+ 0.75 (/ 1.875 (* x x))) (* x x))) (* x x))) (/ (/ 1.0 x) (/ (sqrt PI) (pow (exp x) x)))))
double code(double x) {
return (1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) * ((1.0 / x) / (sqrt(((double) M_PI)) / pow(exp(x), x)));
}
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.sqrt(Math.PI) / Math.pow(Math.exp(x), x)));
}
def code(x): return (1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) * ((1.0 / x) / (math.sqrt(math.pi) / math.pow(math.exp(x), x)))
function code(x) return Float64(Float64(1.0 + Float64(Float64(0.5 + Float64(Float64(0.75 + Float64(1.875 / Float64(x * x))) / Float64(x * x))) / Float64(x * x))) * Float64(Float64(1.0 / x) / Float64(sqrt(pi) / (exp(x) ^ x)))) end
function tmp = code(x) tmp = (1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) * ((1.0 / x) / (sqrt(pi) / (exp(x) ^ x))); end
code[x_] := N[(N[(1.0 + N[(N[(0.5 + N[(N[(0.75 + N[(1.875 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 / x), $MachinePrecision] / N[(N[Sqrt[Pi], $MachinePrecision] / N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(1 + \frac{0.5 + \frac{0.75 + \frac{1.875}{x \cdot x}}{x \cdot x}}{x \cdot x}\right) \cdot \frac{\frac{1}{x}}{\frac{\sqrt{\pi}}{{\left(e^{x}\right)}^{x}}}
\end{array}
Initial program 99.9%
Simplified99.9%
*-lowering-*.f64N/A
Applied egg-rr99.9%
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 (/ (/ (sqrt PI) (exp (* x x))) (/ (+ 1.0 (/ (+ 0.5 (/ (+ 0.75 (/ 1.875 (* x x))) (* x x))) (* x x))) x))))
double code(double x) {
return 1.0 / ((sqrt(((double) M_PI)) / exp((x * x))) / ((1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) / x));
}
public static double code(double x) {
return 1.0 / ((Math.sqrt(Math.PI) / Math.exp((x * x))) / ((1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) / x));
}
def code(x): return 1.0 / ((math.sqrt(math.pi) / math.exp((x * x))) / ((1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) / x))
function code(x) return Float64(1.0 / Float64(Float64(sqrt(pi) / exp(Float64(x * x))) / Float64(Float64(1.0 + Float64(Float64(0.5 + Float64(Float64(0.75 + Float64(1.875 / Float64(x * x))) / Float64(x * x))) / Float64(x * x))) / x))) end
function tmp = code(x) tmp = 1.0 / ((sqrt(pi) / exp((x * x))) / ((1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) / x)); end
code[x_] := N[(1.0 / N[(N[(N[Sqrt[Pi], $MachinePrecision] / N[Exp[N[(x * x), $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] / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{1}{\frac{\frac{\sqrt{\pi}}{e^{x \cdot x}}}{\frac{1 + \frac{0.5 + \frac{0.75 + \frac{1.875}{x \cdot x}}{x \cdot x}}{x \cdot x}}{x}}}
\end{array}
Initial program 99.9%
Simplified99.9%
Applied egg-rr99.9%
times-fracN/A
Applied egg-rr99.9%
(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(Float64(1.0 + Float64(Float64(0.5 + Float64(Float64(0.75 + Float64(1.875 / Float64(x * x))) / Float64(x * x))) / Float64(x * x))) / 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[(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] / x), $MachinePrecision] * N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $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}}{x} \cdot \frac{e^{x \cdot x}}{\sqrt{\pi}}
\end{array}
Initial program 99.9%
Simplified99.9%
Applied egg-rr99.9%
associate-/l*N/A
Applied egg-rr99.9%
(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) / Float64(sqrt(pi) / 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[(N[Sqrt[Pi], $MachinePrecision] / N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]), $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]
\begin{array}{l}
\\
\frac{\frac{1}{x}}{\frac{\sqrt{\pi}}{e^{x \cdot x}}} \cdot \left(1 + \frac{0.5 + \frac{0.75}{x \cdot x}}{x \cdot x}\right)
\end{array}
Initial program 99.9%
Simplified99.9%
*-lowering-*.f64N/A
Applied egg-rr99.9%
Taylor expanded in x around inf
/-lowering-/.f64N/A
+-lowering-+.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6499.0%
Simplified99.0%
(FPCore (x) :precision binary64 (* (/ (/ (exp (* x x)) (sqrt PI)) x) (+ 1.0 (/ 0.5 (* x x)))))
double code(double x) {
return ((exp((x * x)) / sqrt(((double) M_PI))) / x) * (1.0 + (0.5 / (x * x)));
}
public static double code(double x) {
return ((Math.exp((x * x)) / Math.sqrt(Math.PI)) / x) * (1.0 + (0.5 / (x * x)));
}
def code(x): return ((math.exp((x * x)) / math.sqrt(math.pi)) / x) * (1.0 + (0.5 / (x * x)))
function code(x) return Float64(Float64(Float64(exp(Float64(x * x)) / sqrt(pi)) / x) * Float64(1.0 + Float64(0.5 / Float64(x * x)))) end
function tmp = code(x) tmp = ((exp((x * x)) / sqrt(pi)) / x) * (1.0 + (0.5 / (x * x))); end
code[x_] := N[(N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision] * N[(1.0 + N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{e^{x \cdot x}}{\sqrt{\pi}}}{x} \cdot \left(1 + \frac{0.5}{x \cdot x}\right)
\end{array}
Initial program 99.9%
Simplified99.9%
*-lowering-*.f64N/A
Applied egg-rr99.9%
Taylor expanded in x around inf
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6498.9%
Simplified98.9%
associate-/l/N/A
associate-/r*N/A
pow-expN/A
clear-numN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
pow-expN/A
exp-lowering-exp.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
PI-lowering-PI.f6498.9%
Applied egg-rr98.9%
(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(1.0 / Float64(Float64(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[(1.0 / N[(N[(x * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] / N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{1}{\frac{x \cdot \sqrt{\pi}}{e^{x \cdot x}}}
\end{array}
Initial program 99.9%
Simplified99.9%
Applied egg-rr99.9%
times-fracN/A
Applied egg-rr99.9%
Taylor expanded in x around inf
*-commutativeN/A
associate-*r/N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
PI-lowering-PI.f64N/A
exp-lowering-exp.f64N/A
unpow2N/A
*-lowering-*.f6498.8%
Simplified98.8%
(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 (/ (+ 0.5 (/ (+ 0.75 (/ 1.875 (* x x))) (* x x))) (* x x)))
(/ x (pow PI -0.5)))
(+ 1.0 (* (* (* x x) (+ 1.0 t_0)) t_1)))
(+ 1.0 t_1))
(/
(/ 1.0 (* x (sqrt PI)))
(/
1.0
(+
1.0
(*
(* x x)
(+ 1.0 (* (* x x) (+ 0.5 (* (* x x) 0.16666666666666666)))))))))))
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 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) / (x / pow(((double) M_PI), -0.5))) * (1.0 + (((x * x) * (1.0 + t_0)) * t_1))) / (1.0 + t_1);
} else {
tmp = (1.0 / (x * sqrt(((double) M_PI)))) / (1.0 / (1.0 + ((x * x) * (1.0 + ((x * x) * (0.5 + ((x * x) * 0.16666666666666666)))))));
}
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 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) / (x / Math.pow(Math.PI, -0.5))) * (1.0 + (((x * x) * (1.0 + t_0)) * t_1))) / (1.0 + t_1);
} else {
tmp = (1.0 / (x * Math.sqrt(Math.PI))) / (1.0 / (1.0 + ((x * x) * (1.0 + ((x * x) * (0.5 + ((x * x) * 0.16666666666666666)))))));
}
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 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) / (x / math.pow(math.pi, -0.5))) * (1.0 + (((x * x) * (1.0 + t_0)) * t_1))) / (1.0 + t_1) else: tmp = (1.0 / (x * math.sqrt(math.pi))) / (1.0 / (1.0 + ((x * x) * (1.0 + ((x * x) * (0.5 + ((x * x) * 0.16666666666666666))))))) 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(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 / (pi ^ -0.5))) * Float64(1.0 + Float64(Float64(Float64(x * x) * Float64(1.0 + t_0)) * t_1))) / Float64(1.0 + t_1)); else tmp = Float64(Float64(1.0 / Float64(x * sqrt(pi))) / Float64(1.0 / Float64(1.0 + Float64(Float64(x * x) * Float64(1.0 + Float64(Float64(x * x) * Float64(0.5 + Float64(Float64(x * x) * 0.16666666666666666)))))))); 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 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) / (x / (pi ^ -0.5))) * (1.0 + (((x * x) * (1.0 + t_0)) * t_1))) / (1.0 + t_1); else tmp = (1.0 / (x * sqrt(pi))) / (1.0 / (1.0 + ((x * x) * (1.0 + ((x * x) * (0.5 + ((x * x) * 0.16666666666666666))))))); 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[(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[Power[Pi, -0.5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 + N[(N[(N[(x * x), $MachinePrecision] * N[(1.0 + t$95$0), $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + t$95$1), $MachinePrecision]), $MachinePrecision], N[(N[(1.0 / N[(x * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 / 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]), $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{\frac{1 + \frac{0.5 + \frac{0.75 + \frac{1.875}{x \cdot x}}{x \cdot x}}{x \cdot x}}{\frac{x}{{\pi}^{-0.5}}} \cdot \left(1 + \left(\left(x \cdot x\right) \cdot \left(1 + t\_0\right)\right) \cdot t\_1\right)}{1 + t\_1}\\
\mathbf{else}:\\
\;\;\;\;\frac{\frac{1}{x \cdot \sqrt{\pi}}}{\frac{1}{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)}}\\
\end{array}
\end{array}
if x < 3.2000000000000002e51Initial program 99.4%
Simplified99.4%
*-lowering-*.f64N/A
Applied egg-rr99.5%
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-*.f645.9%
Simplified5.9%
*-commutativeN/A
associate-*r/N/A
div-invN/A
div-invN/A
associate-/r*N/A
Applied egg-rr5.9%
Applied egg-rr62.1%
if 3.2000000000000002e51 < x Initial program 100.0%
Simplified100.0%
*-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
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/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
div-invN/A
div-invN/A
associate-/r*N/A
Applied egg-rr100.0%
Taylor expanded in x around inf
Simplified100.0%
Final simplification93.8%
(FPCore (x)
:precision binary64
(let* ((t_0 (* (* x x) (+ 0.5 (* (* x x) 0.16666666666666666))))
(t_1 (- -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)))
(/
(* (/ (pow PI -0.5) x) (+ 1.0 (* x (* t_2 (* x t_1)))))
(+ 1.0 (* (* x x) t_1))))
(/ (/ 1.0 (* x (sqrt PI))) (/ 1.0 (+ 1.0 t_2))))))
double code(double x) {
double t_0 = (x * x) * (0.5 + ((x * x) * 0.16666666666666666));
double t_1 = -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))) * (((pow(((double) M_PI), -0.5) / x) * (1.0 + (x * (t_2 * (x * t_1))))) / (1.0 + ((x * x) * t_1)));
} else {
tmp = (1.0 / (x * sqrt(((double) M_PI)))) / (1.0 / (1.0 + t_2));
}
return tmp;
}
public static double code(double x) {
double t_0 = (x * x) * (0.5 + ((x * x) * 0.16666666666666666));
double t_1 = -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))) * (((Math.pow(Math.PI, -0.5) / x) * (1.0 + (x * (t_2 * (x * t_1))))) / (1.0 + ((x * x) * t_1)));
} else {
tmp = (1.0 / (x * Math.sqrt(Math.PI))) / (1.0 / (1.0 + t_2));
}
return tmp;
}
def code(x): t_0 = (x * x) * (0.5 + ((x * x) * 0.16666666666666666)) t_1 = -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))) * (((math.pow(math.pi, -0.5) / x) * (1.0 + (x * (t_2 * (x * t_1))))) / (1.0 + ((x * x) * t_1))) else: tmp = (1.0 / (x * math.sqrt(math.pi))) / (1.0 / (1.0 + t_2)) return tmp
function code(x) t_0 = Float64(Float64(x * x) * Float64(0.5 + Float64(Float64(x * x) * 0.16666666666666666))) t_1 = 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(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((pi ^ -0.5) / x) * Float64(1.0 + Float64(x * Float64(t_2 * Float64(x * t_1))))) / Float64(1.0 + Float64(Float64(x * x) * t_1)))); else tmp = Float64(Float64(1.0 / Float64(x * sqrt(pi))) / Float64(1.0 / Float64(1.0 + t_2))); end return tmp end
function tmp_2 = code(x) t_0 = (x * x) * (0.5 + ((x * x) * 0.16666666666666666)); t_1 = -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))) * ((((pi ^ -0.5) / x) * (1.0 + (x * (t_2 * (x * t_1))))) / (1.0 + ((x * x) * t_1))); else tmp = (1.0 / (x * sqrt(pi))) / (1.0 / (1.0 + t_2)); end tmp_2 = tmp; end
code[x_] := Block[{t$95$0 = N[(N[(x * x), $MachinePrecision] * N[(0.5 + N[(N[(x * x), $MachinePrecision] * 0.16666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(-1.0 - t$95$0), $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[(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[Power[Pi, -0.5], $MachinePrecision] / x), $MachinePrecision] * N[(1.0 + N[(x * N[(t$95$2 * N[(x * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(N[(x * x), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(1.0 / N[(x * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 / N[(1.0 + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(x \cdot x\right) \cdot \left(0.5 + \left(x \cdot x\right) \cdot 0.16666666666666666\right)\\
t_1 := -1 - t\_0\\
t_2 := \left(x \cdot x\right) \cdot \left(1 + t\_0\right)\\
\mathbf{if}\;x \leq 3.2 \cdot 10^{+51}:\\
\;\;\;\;\left(1 + \frac{0.5 + \frac{0.75 + \frac{1.875}{x \cdot x}}{x \cdot x}}{x \cdot x}\right) \cdot \frac{\frac{{\pi}^{-0.5}}{x} \cdot \left(1 + x \cdot \left(t\_2 \cdot \left(x \cdot t\_1\right)\right)\right)}{1 + \left(x \cdot x\right) \cdot t\_1}\\
\mathbf{else}:\\
\;\;\;\;\frac{\frac{1}{x \cdot \sqrt{\pi}}}{\frac{1}{1 + t\_2}}\\
\end{array}
\end{array}
if x < 3.2000000000000002e51Initial program 99.4%
Simplified99.4%
*-lowering-*.f64N/A
Applied egg-rr99.5%
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-*.f645.9%
Simplified5.9%
associate-/r/N/A
flip-+N/A
associate-*r/N/A
/-lowering-/.f64N/A
Applied egg-rr62.1%
if 3.2000000000000002e51 < x Initial program 100.0%
Simplified100.0%
*-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
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/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
div-invN/A
div-invN/A
associate-/r*N/A
Applied egg-rr100.0%
Taylor expanded in x around inf
Simplified100.0%
Final simplification93.8%
(FPCore (x)
:precision binary64
(let* ((t_0 (+ 0.5 (* x (* x 0.16666666666666666)))))
(if (<= x 2e+77)
(/
(/
(+ 1.0 (/ (+ 0.5 (/ (+ 0.75 (/ 1.875 (* x x))) (* x x))) (* x x)))
(* x (sqrt PI)))
(/
1.0
(+
1.0
(/
(* (* x x) (- 1.0 (* t_0 (* t_0 (* x (* x (* x x)))))))
(- 1.0 (* (* x x) t_0))))))
(*
(+ 1.0 (/ 0.5 (* x x)))
(/
(/ 1.0 x)
(/ (sqrt PI) (+ 1.0 (* x (* x (+ 1.0 (* 0.5 (* x x))))))))))))
double code(double x) {
double t_0 = 0.5 + (x * (x * 0.16666666666666666));
double tmp;
if (x <= 2e+77) {
tmp = ((1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) / (x * sqrt(((double) M_PI)))) / (1.0 / (1.0 + (((x * x) * (1.0 - (t_0 * (t_0 * (x * (x * (x * x))))))) / (1.0 - ((x * x) * t_0)))));
} else {
tmp = (1.0 + (0.5 / (x * x))) * ((1.0 / x) / (sqrt(((double) M_PI)) / (1.0 + (x * (x * (1.0 + (0.5 * (x * x))))))));
}
return tmp;
}
public static double code(double x) {
double t_0 = 0.5 + (x * (x * 0.16666666666666666));
double tmp;
if (x <= 2e+77) {
tmp = ((1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) / (x * Math.sqrt(Math.PI))) / (1.0 / (1.0 + (((x * x) * (1.0 - (t_0 * (t_0 * (x * (x * (x * x))))))) / (1.0 - ((x * x) * t_0)))));
} else {
tmp = (1.0 + (0.5 / (x * x))) * ((1.0 / x) / (Math.sqrt(Math.PI) / (1.0 + (x * (x * (1.0 + (0.5 * (x * x))))))));
}
return tmp;
}
def code(x): t_0 = 0.5 + (x * (x * 0.16666666666666666)) tmp = 0 if x <= 2e+77: tmp = ((1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) / (x * math.sqrt(math.pi))) / (1.0 / (1.0 + (((x * x) * (1.0 - (t_0 * (t_0 * (x * (x * (x * x))))))) / (1.0 - ((x * x) * t_0))))) else: tmp = (1.0 + (0.5 / (x * x))) * ((1.0 / x) / (math.sqrt(math.pi) / (1.0 + (x * (x * (1.0 + (0.5 * (x * x)))))))) return tmp
function code(x) t_0 = Float64(0.5 + Float64(x * Float64(x * 0.16666666666666666))) tmp = 0.0 if (x <= 2e+77) 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(x * sqrt(pi))) / Float64(1.0 / Float64(1.0 + Float64(Float64(Float64(x * x) * Float64(1.0 - Float64(t_0 * Float64(t_0 * Float64(x * Float64(x * Float64(x * x))))))) / Float64(1.0 - Float64(Float64(x * x) * t_0)))))); else tmp = Float64(Float64(1.0 + Float64(0.5 / Float64(x * x))) * Float64(Float64(1.0 / x) / Float64(sqrt(pi) / Float64(1.0 + Float64(x * Float64(x * Float64(1.0 + Float64(0.5 * Float64(x * x))))))))); end return tmp end
function tmp_2 = code(x) t_0 = 0.5 + (x * (x * 0.16666666666666666)); tmp = 0.0; if (x <= 2e+77) tmp = ((1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) / (x * sqrt(pi))) / (1.0 / (1.0 + (((x * x) * (1.0 - (t_0 * (t_0 * (x * (x * (x * x))))))) / (1.0 - ((x * x) * t_0))))); else tmp = (1.0 + (0.5 / (x * x))) * ((1.0 / x) / (sqrt(pi) / (1.0 + (x * (x * (1.0 + (0.5 * (x * x)))))))); end tmp_2 = tmp; end
code[x_] := Block[{t$95$0 = N[(0.5 + N[(x * N[(x * 0.16666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, 2e+77], 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[(x * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 / N[(1.0 + N[(N[(N[(x * x), $MachinePrecision] * N[(1.0 - N[(t$95$0 * N[(t$95$0 * N[(x * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 - N[(N[(x * x), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(1.0 + N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 / x), $MachinePrecision] / N[(N[Sqrt[Pi], $MachinePrecision] / N[(1.0 + N[(x * N[(x * N[(1.0 + N[(0.5 * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 + x \cdot \left(x \cdot 0.16666666666666666\right)\\
\mathbf{if}\;x \leq 2 \cdot 10^{+77}:\\
\;\;\;\;\frac{\frac{1 + \frac{0.5 + \frac{0.75 + \frac{1.875}{x \cdot x}}{x \cdot x}}{x \cdot x}}{x \cdot \sqrt{\pi}}}{\frac{1}{1 + \frac{\left(x \cdot x\right) \cdot \left(1 - t\_0 \cdot \left(t\_0 \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right)\right)}{1 - \left(x \cdot x\right) \cdot t\_0}}}\\
\mathbf{else}:\\
\;\;\;\;\left(1 + \frac{0.5}{x \cdot x}\right) \cdot \frac{\frac{1}{x}}{\frac{\sqrt{\pi}}{1 + x \cdot \left(x \cdot \left(1 + 0.5 \cdot \left(x \cdot x\right)\right)\right)}}\\
\end{array}
\end{array}
if x < 1.99999999999999997e77Initial program 99.6%
Simplified99.6%
*-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
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6435.2%
Simplified35.2%
*-commutativeN/A
associate-*r/N/A
div-invN/A
div-invN/A
associate-/r*N/A
Applied egg-rr35.2%
*-commutativeN/A
associate-*r*N/A
flip-+N/A
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr67.6%
if 1.99999999999999997e77 < x Initial program 100.0%
Simplified100.0%
*-lowering-*.f64N/A
Applied egg-rr100.0%
Taylor expanded in x around inf
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64100.0%
Simplified100.0%
Taylor expanded in x around 0
+-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-*.f64100.0%
Simplified100.0%
Final simplification92.3%
(FPCore (x)
:precision binary64
(let* ((t_0 (* x (* x 0.16666666666666666))))
(if (<= x 2e+77)
(/
(/
(+ 1.0 (/ (+ 0.5 (/ (+ 0.75 (/ 1.875 (* x x))) (* x x))) (* x x)))
(* x (sqrt PI)))
(/
1.0
(+
1.0
(*
(* x x)
(+
1.0
(/
(*
(* x x)
(+ 0.125 (* (* (* x x) (* x (* x (* x x)))) 0.004629629629629629)))
(+ 0.25 (* t_0 (- t_0 0.5)))))))))
(*
(+ 1.0 (/ 0.5 (* x x)))
(/
(/ 1.0 x)
(/ (sqrt PI) (+ 1.0 (* x (* x (+ 1.0 (* 0.5 (* x x))))))))))))
double code(double x) {
double t_0 = x * (x * 0.16666666666666666);
double tmp;
if (x <= 2e+77) {
tmp = ((1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) / (x * sqrt(((double) M_PI)))) / (1.0 / (1.0 + ((x * x) * (1.0 + (((x * x) * (0.125 + (((x * x) * (x * (x * (x * x)))) * 0.004629629629629629))) / (0.25 + (t_0 * (t_0 - 0.5))))))));
} else {
tmp = (1.0 + (0.5 / (x * x))) * ((1.0 / x) / (sqrt(((double) M_PI)) / (1.0 + (x * (x * (1.0 + (0.5 * (x * x))))))));
}
return tmp;
}
public static double code(double x) {
double t_0 = x * (x * 0.16666666666666666);
double tmp;
if (x <= 2e+77) {
tmp = ((1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) / (x * Math.sqrt(Math.PI))) / (1.0 / (1.0 + ((x * x) * (1.0 + (((x * x) * (0.125 + (((x * x) * (x * (x * (x * x)))) * 0.004629629629629629))) / (0.25 + (t_0 * (t_0 - 0.5))))))));
} else {
tmp = (1.0 + (0.5 / (x * x))) * ((1.0 / x) / (Math.sqrt(Math.PI) / (1.0 + (x * (x * (1.0 + (0.5 * (x * x))))))));
}
return tmp;
}
def code(x): t_0 = x * (x * 0.16666666666666666) tmp = 0 if x <= 2e+77: tmp = ((1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) / (x * math.sqrt(math.pi))) / (1.0 / (1.0 + ((x * x) * (1.0 + (((x * x) * (0.125 + (((x * x) * (x * (x * (x * x)))) * 0.004629629629629629))) / (0.25 + (t_0 * (t_0 - 0.5)))))))) else: tmp = (1.0 + (0.5 / (x * x))) * ((1.0 / x) / (math.sqrt(math.pi) / (1.0 + (x * (x * (1.0 + (0.5 * (x * x)))))))) return tmp
function code(x) t_0 = Float64(x * Float64(x * 0.16666666666666666)) tmp = 0.0 if (x <= 2e+77) 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(x * sqrt(pi))) / Float64(1.0 / Float64(1.0 + Float64(Float64(x * x) * Float64(1.0 + Float64(Float64(Float64(x * x) * Float64(0.125 + Float64(Float64(Float64(x * x) * Float64(x * Float64(x * Float64(x * x)))) * 0.004629629629629629))) / Float64(0.25 + Float64(t_0 * Float64(t_0 - 0.5))))))))); else tmp = Float64(Float64(1.0 + Float64(0.5 / Float64(x * x))) * Float64(Float64(1.0 / x) / Float64(sqrt(pi) / Float64(1.0 + Float64(x * Float64(x * Float64(1.0 + Float64(0.5 * Float64(x * x))))))))); end return tmp end
function tmp_2 = code(x) t_0 = x * (x * 0.16666666666666666); tmp = 0.0; if (x <= 2e+77) tmp = ((1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) / (x * sqrt(pi))) / (1.0 / (1.0 + ((x * x) * (1.0 + (((x * x) * (0.125 + (((x * x) * (x * (x * (x * x)))) * 0.004629629629629629))) / (0.25 + (t_0 * (t_0 - 0.5)))))))); else tmp = (1.0 + (0.5 / (x * x))) * ((1.0 / x) / (sqrt(pi) / (1.0 + (x * (x * (1.0 + (0.5 * (x * x)))))))); end tmp_2 = tmp; end
code[x_] := Block[{t$95$0 = N[(x * N[(x * 0.16666666666666666), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, 2e+77], 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[(x * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 / N[(1.0 + N[(N[(x * x), $MachinePrecision] * N[(1.0 + N[(N[(N[(x * x), $MachinePrecision] * N[(0.125 + N[(N[(N[(x * x), $MachinePrecision] * N[(x * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 0.004629629629629629), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(0.25 + N[(t$95$0 * N[(t$95$0 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(1.0 + N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 / x), $MachinePrecision] / N[(N[Sqrt[Pi], $MachinePrecision] / N[(1.0 + N[(x * N[(x * N[(1.0 + N[(0.5 * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := x \cdot \left(x \cdot 0.16666666666666666\right)\\
\mathbf{if}\;x \leq 2 \cdot 10^{+77}:\\
\;\;\;\;\frac{\frac{1 + \frac{0.5 + \frac{0.75 + \frac{1.875}{x \cdot x}}{x \cdot x}}{x \cdot x}}{x \cdot \sqrt{\pi}}}{\frac{1}{1 + \left(x \cdot x\right) \cdot \left(1 + \frac{\left(x \cdot x\right) \cdot \left(0.125 + \left(\left(x \cdot x\right) \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right) \cdot 0.004629629629629629\right)}{0.25 + t\_0 \cdot \left(t\_0 - 0.5\right)}\right)}}\\
\mathbf{else}:\\
\;\;\;\;\left(1 + \frac{0.5}{x \cdot x}\right) \cdot \frac{\frac{1}{x}}{\frac{\sqrt{\pi}}{1 + x \cdot \left(x \cdot \left(1 + 0.5 \cdot \left(x \cdot x\right)\right)\right)}}\\
\end{array}
\end{array}
if x < 1.99999999999999997e77Initial program 99.6%
Simplified99.6%
*-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
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6435.2%
Simplified35.2%
*-commutativeN/A
associate-*r/N/A
div-invN/A
div-invN/A
associate-/r*N/A
Applied egg-rr35.2%
*-commutativeN/A
flip3-+N/A
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr56.7%
if 1.99999999999999997e77 < x Initial program 100.0%
Simplified100.0%
*-lowering-*.f64N/A
Applied egg-rr100.0%
Taylor expanded in x around inf
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64100.0%
Simplified100.0%
Taylor expanded in x around 0
+-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-*.f64100.0%
Simplified100.0%
Final simplification89.7%
(FPCore (x)
:precision binary64
(let* ((t_0 (* x (* x x))) (t_1 (* (* x x) 0.16666666666666666)))
(if (<= x 2e+77)
(*
(+ 1.0 (/ (+ 0.5 (/ (+ 0.75 (/ 1.875 (* x x))) (* x x))) (* x x)))
(/
(/ 1.0 x)
(/
(sqrt PI)
(+
1.0
(*
(* x x)
(+
1.0
(/
(* (* x x) (+ 0.125 (* 0.004629629629629629 (* t_0 t_0))))
(+ 0.25 (* t_1 (- t_1 0.5))))))))))
(*
(+ 1.0 (/ 0.5 (* x x)))
(/
(/ 1.0 x)
(/ (sqrt PI) (+ 1.0 (* x (* x (+ 1.0 (* 0.5 (* x x))))))))))))
double code(double x) {
double t_0 = x * (x * x);
double t_1 = (x * x) * 0.16666666666666666;
double tmp;
if (x <= 2e+77) {
tmp = (1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) * ((1.0 / x) / (sqrt(((double) M_PI)) / (1.0 + ((x * x) * (1.0 + (((x * x) * (0.125 + (0.004629629629629629 * (t_0 * t_0)))) / (0.25 + (t_1 * (t_1 - 0.5)))))))));
} else {
tmp = (1.0 + (0.5 / (x * x))) * ((1.0 / x) / (sqrt(((double) M_PI)) / (1.0 + (x * (x * (1.0 + (0.5 * (x * x))))))));
}
return tmp;
}
public static double code(double x) {
double t_0 = x * (x * x);
double t_1 = (x * x) * 0.16666666666666666;
double tmp;
if (x <= 2e+77) {
tmp = (1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) * ((1.0 / x) / (Math.sqrt(Math.PI) / (1.0 + ((x * x) * (1.0 + (((x * x) * (0.125 + (0.004629629629629629 * (t_0 * t_0)))) / (0.25 + (t_1 * (t_1 - 0.5)))))))));
} else {
tmp = (1.0 + (0.5 / (x * x))) * ((1.0 / x) / (Math.sqrt(Math.PI) / (1.0 + (x * (x * (1.0 + (0.5 * (x * x))))))));
}
return tmp;
}
def code(x): t_0 = x * (x * x) t_1 = (x * x) * 0.16666666666666666 tmp = 0 if x <= 2e+77: tmp = (1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) * ((1.0 / x) / (math.sqrt(math.pi) / (1.0 + ((x * x) * (1.0 + (((x * x) * (0.125 + (0.004629629629629629 * (t_0 * t_0)))) / (0.25 + (t_1 * (t_1 - 0.5))))))))) else: tmp = (1.0 + (0.5 / (x * x))) * ((1.0 / x) / (math.sqrt(math.pi) / (1.0 + (x * (x * (1.0 + (0.5 * (x * x)))))))) return tmp
function code(x) t_0 = Float64(x * Float64(x * x)) t_1 = Float64(Float64(x * x) * 0.16666666666666666) tmp = 0.0 if (x <= 2e+77) tmp = Float64(Float64(1.0 + Float64(Float64(0.5 + Float64(Float64(0.75 + Float64(1.875 / Float64(x * x))) / Float64(x * x))) / Float64(x * x))) * Float64(Float64(1.0 / x) / Float64(sqrt(pi) / Float64(1.0 + Float64(Float64(x * x) * Float64(1.0 + Float64(Float64(Float64(x * x) * Float64(0.125 + Float64(0.004629629629629629 * Float64(t_0 * t_0)))) / Float64(0.25 + Float64(t_1 * Float64(t_1 - 0.5)))))))))); else tmp = Float64(Float64(1.0 + Float64(0.5 / Float64(x * x))) * Float64(Float64(1.0 / x) / Float64(sqrt(pi) / Float64(1.0 + Float64(x * Float64(x * Float64(1.0 + Float64(0.5 * Float64(x * x))))))))); end return tmp end
function tmp_2 = code(x) t_0 = x * (x * x); t_1 = (x * x) * 0.16666666666666666; tmp = 0.0; if (x <= 2e+77) tmp = (1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) * ((1.0 / x) / (sqrt(pi) / (1.0 + ((x * x) * (1.0 + (((x * x) * (0.125 + (0.004629629629629629 * (t_0 * t_0)))) / (0.25 + (t_1 * (t_1 - 0.5))))))))); else tmp = (1.0 + (0.5 / (x * x))) * ((1.0 / x) / (sqrt(pi) / (1.0 + (x * (x * (1.0 + (0.5 * (x * x)))))))); end tmp_2 = tmp; end
code[x_] := Block[{t$95$0 = N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(x * x), $MachinePrecision] * 0.16666666666666666), $MachinePrecision]}, If[LessEqual[x, 2e+77], N[(N[(1.0 + N[(N[(0.5 + N[(N[(0.75 + N[(1.875 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 / x), $MachinePrecision] / N[(N[Sqrt[Pi], $MachinePrecision] / N[(1.0 + N[(N[(x * x), $MachinePrecision] * N[(1.0 + N[(N[(N[(x * x), $MachinePrecision] * N[(0.125 + N[(0.004629629629629629 * N[(t$95$0 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(0.25 + N[(t$95$1 * N[(t$95$1 - 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(1.0 + N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 / x), $MachinePrecision] / N[(N[Sqrt[Pi], $MachinePrecision] / N[(1.0 + N[(x * N[(x * N[(1.0 + N[(0.5 * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := x \cdot \left(x \cdot x\right)\\
t_1 := \left(x \cdot x\right) \cdot 0.16666666666666666\\
\mathbf{if}\;x \leq 2 \cdot 10^{+77}:\\
\;\;\;\;\left(1 + \frac{0.5 + \frac{0.75 + \frac{1.875}{x \cdot x}}{x \cdot x}}{x \cdot x}\right) \cdot \frac{\frac{1}{x}}{\frac{\sqrt{\pi}}{1 + \left(x \cdot x\right) \cdot \left(1 + \frac{\left(x \cdot x\right) \cdot \left(0.125 + 0.004629629629629629 \cdot \left(t\_0 \cdot t\_0\right)\right)}{0.25 + t\_1 \cdot \left(t\_1 - 0.5\right)}\right)}}\\
\mathbf{else}:\\
\;\;\;\;\left(1 + \frac{0.5}{x \cdot x}\right) \cdot \frac{\frac{1}{x}}{\frac{\sqrt{\pi}}{1 + x \cdot \left(x \cdot \left(1 + 0.5 \cdot \left(x \cdot x\right)\right)\right)}}\\
\end{array}
\end{array}
if x < 1.99999999999999997e77Initial program 99.6%
Simplified99.6%
*-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
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6435.2%
Simplified35.2%
associate-*r*N/A
flip3-+N/A
associate-*r/N/A
/-lowering-/.f64N/A
Applied egg-rr56.7%
if 1.99999999999999997e77 < x Initial program 100.0%
Simplified100.0%
*-lowering-*.f64N/A
Applied egg-rr100.0%
Taylor expanded in x around inf
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64100.0%
Simplified100.0%
Taylor expanded in x around 0
+-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-*.f64100.0%
Simplified100.0%
Final simplification89.7%
(FPCore (x)
:precision binary64
(*
(/
(/ 1.0 x)
(/
(sqrt PI)
(+
1.0
(* (* x x) (+ 1.0 (* x (* x (+ 0.5 (* (* x x) 0.16666666666666666)))))))))
(+ 1.0 (/ 1.0 (/ (* x x) (+ 0.5 (/ (+ 0.75 (/ 1.875 (* x x))) (* x x))))))))
double code(double x) {
return ((1.0 / x) / (sqrt(((double) M_PI)) / (1.0 + ((x * x) * (1.0 + (x * (x * (0.5 + ((x * x) * 0.16666666666666666))))))))) * (1.0 + (1.0 / ((x * x) / (0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))))));
}
public static double code(double x) {
return ((1.0 / x) / (Math.sqrt(Math.PI) / (1.0 + ((x * x) * (1.0 + (x * (x * (0.5 + ((x * x) * 0.16666666666666666))))))))) * (1.0 + (1.0 / ((x * x) / (0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))))));
}
def code(x): return ((1.0 / x) / (math.sqrt(math.pi) / (1.0 + ((x * x) * (1.0 + (x * (x * (0.5 + ((x * x) * 0.16666666666666666))))))))) * (1.0 + (1.0 / ((x * x) / (0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))))))
function code(x) return Float64(Float64(Float64(1.0 / x) / Float64(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))))))))) * Float64(1.0 + Float64(1.0 / Float64(Float64(x * x) / Float64(0.5 + Float64(Float64(0.75 + Float64(1.875 / Float64(x * x))) / Float64(x * x))))))) end
function tmp = code(x) tmp = ((1.0 / x) / (sqrt(pi) / (1.0 + ((x * x) * (1.0 + (x * (x * (0.5 + ((x * x) * 0.16666666666666666))))))))) * (1.0 + (1.0 / ((x * x) / (0.5 + ((0.75 + (1.875 / (x * x))) / (x * x)))))); end
code[x_] := N[(N[(N[(1.0 / x), $MachinePrecision] / N[(N[Sqrt[Pi], $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] * N[(1.0 + N[(1.0 / N[(N[(x * x), $MachinePrecision] / N[(0.5 + N[(N[(0.75 + N[(1.875 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{1}{x}}{\frac{\sqrt{\pi}}{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)}} \cdot \left(1 + \frac{1}{\frac{x \cdot x}{0.5 + \frac{0.75 + \frac{1.875}{x \cdot x}}{x \cdot x}}}\right)
\end{array}
Initial program 99.9%
Simplified99.9%
*-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
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6484.6%
Simplified84.6%
clear-numN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6484.6%
Applied egg-rr84.6%
(FPCore (x)
:precision binary64
(*
(/ (+ 1.0 (/ (+ 0.5 (/ (+ 0.75 (/ 1.875 (* x x))) (* x x))) (* x 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 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * 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 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * 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 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * 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(Float64(1.0 + Float64(Float64(0.5 + Float64(Float64(0.75 + Float64(1.875 / Float64(x * x))) / Float64(x * x))) / Float64(x * x))) / x) * Float64(Float64(1.0 + Float64(Float64(x * x) * Float64(1.0 + Float64(Float64(x * x) * Float64(0.5 + Float64(x * Float64(x * 0.16666666666666666))))))) / sqrt(pi))) end
function tmp = code(x) tmp = ((1.0 + ((0.5 + ((0.75 + (1.875 / (x * x))) / (x * x))) / (x * x))) / x) * ((1.0 + ((x * x) * (1.0 + ((x * x) * (0.5 + (x * (x * 0.16666666666666666))))))) / 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] / x), $MachinePrecision] * 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[Sqrt[Pi], $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}}{x} \cdot \frac{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)}{\sqrt{\pi}}
\end{array}
Initial program 99.9%
Simplified99.9%
Applied egg-rr99.9%
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-*.f6484.6%
Simplified84.6%
Applied egg-rr84.6%
(FPCore (x)
:precision binary64
(*
(+ 1.0 (/ (+ 0.5 (/ 0.75 (* x x))) (* x x)))
(/
(/ 1.0 x)
(/
(sqrt PI)
(+
1.0
(*
(* x x)
(+ 1.0 (* x (* x (+ 0.5 (* (* x x) 0.16666666666666666)))))))))))
double code(double x) {
return (1.0 + ((0.5 + (0.75 / (x * x))) / (x * x))) * ((1.0 / x) / (sqrt(((double) M_PI)) / (1.0 + ((x * x) * (1.0 + (x * (x * (0.5 + ((x * x) * 0.16666666666666666)))))))));
}
public static double code(double x) {
return (1.0 + ((0.5 + (0.75 / (x * x))) / (x * x))) * ((1.0 / x) / (Math.sqrt(Math.PI) / (1.0 + ((x * x) * (1.0 + (x * (x * (0.5 + ((x * x) * 0.16666666666666666)))))))));
}
def code(x): return (1.0 + ((0.5 + (0.75 / (x * x))) / (x * x))) * ((1.0 / x) / (math.sqrt(math.pi) / (1.0 + ((x * x) * (1.0 + (x * (x * (0.5 + ((x * x) * 0.16666666666666666)))))))))
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(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)))))))))) end
function tmp = code(x) tmp = (1.0 + ((0.5 + (0.75 / (x * x))) / (x * x))) * ((1.0 / x) / (sqrt(pi) / (1.0 + ((x * x) * (1.0 + (x * (x * (0.5 + ((x * x) * 0.16666666666666666))))))))); 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[Sqrt[Pi], $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]), $MachinePrecision]
\begin{array}{l}
\\
\left(1 + \frac{0.5 + \frac{0.75}{x \cdot x}}{x \cdot x}\right) \cdot \frac{\frac{1}{x}}{\frac{\sqrt{\pi}}{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)}}
\end{array}
Initial program 99.9%
Simplified99.9%
*-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
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6484.6%
Simplified84.6%
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-*.f6484.5%
Simplified84.5%
Final simplification84.5%
(FPCore (x)
:precision binary64
(*
(+ 1.0 (/ 0.5 (* x x)))
(/
(/ 1.0 x)
(/
(sqrt PI)
(+
1.0
(*
(* x x)
(+ 1.0 (* x (* x (+ 0.5 (* (* x x) 0.16666666666666666)))))))))))
double code(double x) {
return (1.0 + (0.5 / (x * x))) * ((1.0 / x) / (sqrt(((double) M_PI)) / (1.0 + ((x * x) * (1.0 + (x * (x * (0.5 + ((x * x) * 0.16666666666666666)))))))));
}
public static double code(double x) {
return (1.0 + (0.5 / (x * x))) * ((1.0 / x) / (Math.sqrt(Math.PI) / (1.0 + ((x * x) * (1.0 + (x * (x * (0.5 + ((x * x) * 0.16666666666666666)))))))));
}
def code(x): return (1.0 + (0.5 / (x * x))) * ((1.0 / x) / (math.sqrt(math.pi) / (1.0 + ((x * x) * (1.0 + (x * (x * (0.5 + ((x * x) * 0.16666666666666666)))))))))
function code(x) return Float64(Float64(1.0 + Float64(0.5 / Float64(x * x))) * Float64(Float64(1.0 / x) / Float64(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)))))))))) end
function tmp = code(x) tmp = (1.0 + (0.5 / (x * x))) * ((1.0 / x) / (sqrt(pi) / (1.0 + ((x * x) * (1.0 + (x * (x * (0.5 + ((x * x) * 0.16666666666666666))))))))); end
code[x_] := N[(N[(1.0 + N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 / x), $MachinePrecision] / N[(N[Sqrt[Pi], $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]), $MachinePrecision]
\begin{array}{l}
\\
\left(1 + \frac{0.5}{x \cdot x}\right) \cdot \frac{\frac{1}{x}}{\frac{\sqrt{\pi}}{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)}}
\end{array}
Initial program 99.9%
Simplified99.9%
*-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
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6484.6%
Simplified84.6%
Taylor expanded in x around inf
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6484.5%
Simplified84.5%
Final simplification84.5%
(FPCore (x)
:precision binary64
(/
(/ 1.0 (* x (sqrt PI)))
(/
1.0
(+
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 / (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 / (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 / (1.0 + ((x * x) * (1.0 + ((x * x) * (0.5 + ((x * x) * 0.16666666666666666)))))))
function code(x) return Float64(Float64(1.0 / Float64(x * sqrt(pi))) / Float64(1.0 / Float64(1.0 + Float64(Float64(x * x) * Float64(1.0 + Float64(Float64(x * x) * Float64(0.5 + Float64(Float64(x * x) * 0.16666666666666666)))))))) end
function tmp = code(x) tmp = (1.0 / (x * sqrt(pi))) / (1.0 / (1.0 + ((x * x) * (1.0 + ((x * x) * (0.5 + ((x * x) * 0.16666666666666666))))))); end
code[x_] := N[(N[(1.0 / N[(x * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 / 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]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{1}{x \cdot \sqrt{\pi}}}{\frac{1}{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)}}
\end{array}
Initial program 99.9%
Simplified99.9%
*-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
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6484.6%
Simplified84.6%
*-commutativeN/A
associate-*r/N/A
div-invN/A
div-invN/A
associate-/r*N/A
Applied egg-rr84.6%
Taylor expanded in x around inf
Simplified84.5%
(FPCore (x) :precision binary64 (* (+ 1.0 (/ 0.5 (* x x))) (/ (/ 1.0 x) (/ (sqrt PI) (+ 1.0 (* x (* x (+ 1.0 (* 0.5 (* x x))))))))))
double code(double x) {
return (1.0 + (0.5 / (x * x))) * ((1.0 / x) / (sqrt(((double) M_PI)) / (1.0 + (x * (x * (1.0 + (0.5 * (x * x))))))));
}
public static double code(double x) {
return (1.0 + (0.5 / (x * x))) * ((1.0 / x) / (Math.sqrt(Math.PI) / (1.0 + (x * (x * (1.0 + (0.5 * (x * x))))))));
}
def code(x): return (1.0 + (0.5 / (x * x))) * ((1.0 / x) / (math.sqrt(math.pi) / (1.0 + (x * (x * (1.0 + (0.5 * (x * x))))))))
function code(x) return Float64(Float64(1.0 + Float64(0.5 / Float64(x * x))) * Float64(Float64(1.0 / x) / Float64(sqrt(pi) / Float64(1.0 + Float64(x * Float64(x * Float64(1.0 + Float64(0.5 * Float64(x * x))))))))) end
function tmp = code(x) tmp = (1.0 + (0.5 / (x * x))) * ((1.0 / x) / (sqrt(pi) / (1.0 + (x * (x * (1.0 + (0.5 * (x * x)))))))); end
code[x_] := N[(N[(1.0 + N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 / x), $MachinePrecision] / N[(N[Sqrt[Pi], $MachinePrecision] / N[(1.0 + N[(x * N[(x * N[(1.0 + N[(0.5 * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(1 + \frac{0.5}{x \cdot x}\right) \cdot \frac{\frac{1}{x}}{\frac{\sqrt{\pi}}{1 + x \cdot \left(x \cdot \left(1 + 0.5 \cdot \left(x \cdot x\right)\right)\right)}}
\end{array}
Initial program 99.9%
Simplified99.9%
*-lowering-*.f64N/A
Applied egg-rr99.9%
Taylor expanded in x around inf
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6498.9%
Simplified98.9%
Taylor expanded in x around 0
+-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-*.f6477.3%
Simplified77.3%
Final simplification77.3%
(FPCore (x) :precision binary64 (* (+ 1.0 (/ (+ 0.5 (/ 0.75 (* x x))) (* x x))) (/ (/ 1.0 x) (/ (sqrt PI) (+ 1.0 (* x x))))))
double code(double x) {
return (1.0 + ((0.5 + (0.75 / (x * x))) / (x * x))) * ((1.0 / x) / (sqrt(((double) M_PI)) / (1.0 + (x * x))));
}
public static double code(double x) {
return (1.0 + ((0.5 + (0.75 / (x * x))) / (x * x))) * ((1.0 / x) / (Math.sqrt(Math.PI) / (1.0 + (x * x))));
}
def code(x): return (1.0 + ((0.5 + (0.75 / (x * x))) / (x * x))) * ((1.0 / x) / (math.sqrt(math.pi) / (1.0 + (x * x))))
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(sqrt(pi) / Float64(1.0 + Float64(x * x))))) end
function tmp = code(x) tmp = (1.0 + ((0.5 + (0.75 / (x * x))) / (x * x))) * ((1.0 / x) / (sqrt(pi) / (1.0 + (x * x)))); end
code[x_] := N[(N[(1.0 + N[(N[(0.5 + N[(0.75 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 / x), $MachinePrecision] / N[(N[Sqrt[Pi], $MachinePrecision] / N[(1.0 + N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(1 + \frac{0.5 + \frac{0.75}{x \cdot x}}{x \cdot x}\right) \cdot \frac{\frac{1}{x}}{\frac{\sqrt{\pi}}{1 + x \cdot x}}
\end{array}
Initial program 99.9%
Simplified99.9%
*-lowering-*.f64N/A
Applied egg-rr99.9%
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
+-lowering-+.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6450.6%
Simplified50.6%
Final simplification50.6%
(FPCore (x) :precision binary64 (* (+ 1.0 (/ 0.5 (* x x))) (/ (* (+ 1.0 (* x x)) (sqrt (/ 1.0 PI))) x)))
double code(double x) {
return (1.0 + (0.5 / (x * x))) * (((1.0 + (x * x)) * sqrt((1.0 / ((double) M_PI)))) / x);
}
public static double code(double x) {
return (1.0 + (0.5 / (x * x))) * (((1.0 + (x * x)) * Math.sqrt((1.0 / Math.PI))) / x);
}
def code(x): return (1.0 + (0.5 / (x * x))) * (((1.0 + (x * x)) * math.sqrt((1.0 / math.pi))) / x)
function code(x) return Float64(Float64(1.0 + Float64(0.5 / Float64(x * x))) * Float64(Float64(Float64(1.0 + Float64(x * x)) * sqrt(Float64(1.0 / pi))) / x)) end
function tmp = code(x) tmp = (1.0 + (0.5 / (x * x))) * (((1.0 + (x * x)) * sqrt((1.0 / pi))) / x); end
code[x_] := N[(N[(1.0 + N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(1.0 + N[(x * x), $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(1.0 / Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(1 + \frac{0.5}{x \cdot x}\right) \cdot \frac{\left(1 + x \cdot x\right) \cdot \sqrt{\frac{1}{\pi}}}{x}
\end{array}
Initial program 99.9%
Simplified99.9%
*-lowering-*.f64N/A
Applied egg-rr99.9%
Taylor expanded in x around inf
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6498.9%
Simplified98.9%
Taylor expanded in x around 0
/-lowering-/.f64N/A
distribute-rgt1-inN/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
unpow2N/A
*-lowering-*.f6450.5%
Simplified50.5%
Final simplification50.5%
(FPCore (x) :precision binary64 (* x (* (sqrt (/ 1.0 PI)) (+ 1.0 (/ 1.5 (* x x))))))
double code(double x) {
return x * (sqrt((1.0 / ((double) M_PI))) * (1.0 + (1.5 / (x * x))));
}
public static double code(double x) {
return x * (Math.sqrt((1.0 / Math.PI)) * (1.0 + (1.5 / (x * x))));
}
def code(x): return x * (math.sqrt((1.0 / math.pi)) * (1.0 + (1.5 / (x * x))))
function code(x) return Float64(x * Float64(sqrt(Float64(1.0 / pi)) * Float64(1.0 + Float64(1.5 / Float64(x * x))))) end
function tmp = code(x) tmp = x * (sqrt((1.0 / pi)) * (1.0 + (1.5 / (x * x)))); end
code[x_] := N[(x * N[(N[Sqrt[N[(1.0 / Pi), $MachinePrecision]], $MachinePrecision] * N[(1.0 + N[(1.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
x \cdot \left(\sqrt{\frac{1}{\pi}} \cdot \left(1 + \frac{1.5}{x \cdot x}\right)\right)
\end{array}
Initial program 99.9%
Simplified99.9%
*-lowering-*.f64N/A
Applied egg-rr99.9%
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
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.f645.4%
Simplified5.4%
Final simplification5.4%
(FPCore (x) :precision binary64 (/ (/ 1.0 x) (/ (sqrt PI) (+ 1.0 (* x x)))))
double code(double x) {
return (1.0 / x) / (sqrt(((double) M_PI)) / (1.0 + (x * x)));
}
public static double code(double x) {
return (1.0 / x) / (Math.sqrt(Math.PI) / (1.0 + (x * x)));
}
def code(x): return (1.0 / x) / (math.sqrt(math.pi) / (1.0 + (x * x)))
function code(x) return Float64(Float64(1.0 / x) / Float64(sqrt(pi) / Float64(1.0 + Float64(x * x)))) end
function tmp = code(x) tmp = (1.0 / x) / (sqrt(pi) / (1.0 + (x * x))); end
code[x_] := N[(N[(1.0 / x), $MachinePrecision] / N[(N[Sqrt[Pi], $MachinePrecision] / N[(1.0 + N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{1}{x}}{\frac{\sqrt{\pi}}{1 + x \cdot x}}
\end{array}
Initial program 99.9%
Simplified99.9%
*-lowering-*.f64N/A
Applied egg-rr99.9%
Taylor expanded in x around 0
+-lowering-+.f64N/A
unpow2N/A
*-lowering-*.f6450.6%
Simplified50.6%
Taylor expanded in x around inf
Simplified50.5%
Final simplification50.5%
(FPCore (x) :precision binary64 (* x (sqrt (/ 1.0 PI))))
double code(double x) {
return x * sqrt((1.0 / ((double) M_PI)));
}
public static double code(double x) {
return x * Math.sqrt((1.0 / Math.PI));
}
def code(x): return x * math.sqrt((1.0 / math.pi))
function code(x) return Float64(x * sqrt(Float64(1.0 / pi))) end
function tmp = code(x) tmp = x * sqrt((1.0 / pi)); end
code[x_] := N[(x * N[Sqrt[N[(1.0 / Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
x \cdot \sqrt{\frac{1}{\pi}}
\end{array}
Initial program 99.9%
Simplified99.9%
*-lowering-*.f64N/A
Applied egg-rr99.9%
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.f645.4%
Simplified5.4%
(FPCore (x) :precision binary64 (/ (pow PI -0.5) x))
double code(double x) {
return pow(((double) M_PI), -0.5) / x;
}
public static double code(double x) {
return Math.pow(Math.PI, -0.5) / x;
}
def code(x): return math.pow(math.pi, -0.5) / x
function code(x) return Float64((pi ^ -0.5) / x) end
function tmp = code(x) tmp = (pi ^ -0.5) / x; end
code[x_] := N[(N[Power[Pi, -0.5], $MachinePrecision] / x), $MachinePrecision]
\begin{array}{l}
\\
\frac{{\pi}^{-0.5}}{x}
\end{array}
Initial program 99.9%
Simplified99.9%
*-lowering-*.f64N/A
Applied egg-rr99.9%
Taylor expanded in x around 0
sqrt-lowering-sqrt.f64N/A
PI-lowering-PI.f642.4%
Simplified2.4%
Taylor expanded in x around inf
associate-*l/N/A
*-lft-identityN/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f642.4%
Simplified2.4%
/-lowering-/.f64N/A
pow1/2N/A
inv-powN/A
pow-powN/A
pow-lowering-pow.f64N/A
PI-lowering-PI.f64N/A
metadata-eval2.4%
Applied egg-rr2.4%
herbie shell --seed 2024141
(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)))))))