
(FPCore (z)
:precision binary64
(let* ((t_0 (- (- 1.0 z) 1.0)) (t_1 (+ t_0 7.0)) (t_2 (+ t_1 0.5)))
(*
(/ PI (sin (* PI z)))
(*
(* (* (sqrt (* PI 2.0)) (pow t_2 (+ t_0 0.5))) (exp (- t_2)))
(+
(+
(+
(+
(+
(+
(+
(+ 0.9999999999998099 (/ 676.5203681218851 (+ t_0 1.0)))
(/ -1259.1392167224028 (+ t_0 2.0)))
(/ 771.3234287776531 (+ t_0 3.0)))
(/ -176.6150291621406 (+ t_0 4.0)))
(/ 12.507343278686905 (+ t_0 5.0)))
(/ -0.13857109526572012 (+ t_0 6.0)))
(/ 9.984369578019572e-6 t_1))
(/ 1.5056327351493116e-7 (+ t_0 8.0)))))))
double code(double z) {
double t_0 = (1.0 - z) - 1.0;
double t_1 = t_0 + 7.0;
double t_2 = t_1 + 0.5;
return (((double) M_PI) / sin((((double) M_PI) * z))) * (((sqrt((((double) M_PI) * 2.0)) * pow(t_2, (t_0 + 0.5))) * exp(-t_2)) * ((((((((0.9999999999998099 + (676.5203681218851 / (t_0 + 1.0))) + (-1259.1392167224028 / (t_0 + 2.0))) + (771.3234287776531 / (t_0 + 3.0))) + (-176.6150291621406 / (t_0 + 4.0))) + (12.507343278686905 / (t_0 + 5.0))) + (-0.13857109526572012 / (t_0 + 6.0))) + (9.984369578019572e-6 / t_1)) + (1.5056327351493116e-7 / (t_0 + 8.0))));
}
public static double code(double z) {
double t_0 = (1.0 - z) - 1.0;
double t_1 = t_0 + 7.0;
double t_2 = t_1 + 0.5;
return (Math.PI / Math.sin((Math.PI * z))) * (((Math.sqrt((Math.PI * 2.0)) * Math.pow(t_2, (t_0 + 0.5))) * Math.exp(-t_2)) * ((((((((0.9999999999998099 + (676.5203681218851 / (t_0 + 1.0))) + (-1259.1392167224028 / (t_0 + 2.0))) + (771.3234287776531 / (t_0 + 3.0))) + (-176.6150291621406 / (t_0 + 4.0))) + (12.507343278686905 / (t_0 + 5.0))) + (-0.13857109526572012 / (t_0 + 6.0))) + (9.984369578019572e-6 / t_1)) + (1.5056327351493116e-7 / (t_0 + 8.0))));
}
def code(z): t_0 = (1.0 - z) - 1.0 t_1 = t_0 + 7.0 t_2 = t_1 + 0.5 return (math.pi / math.sin((math.pi * z))) * (((math.sqrt((math.pi * 2.0)) * math.pow(t_2, (t_0 + 0.5))) * math.exp(-t_2)) * ((((((((0.9999999999998099 + (676.5203681218851 / (t_0 + 1.0))) + (-1259.1392167224028 / (t_0 + 2.0))) + (771.3234287776531 / (t_0 + 3.0))) + (-176.6150291621406 / (t_0 + 4.0))) + (12.507343278686905 / (t_0 + 5.0))) + (-0.13857109526572012 / (t_0 + 6.0))) + (9.984369578019572e-6 / t_1)) + (1.5056327351493116e-7 / (t_0 + 8.0))))
function code(z) t_0 = Float64(Float64(1.0 - z) - 1.0) t_1 = Float64(t_0 + 7.0) t_2 = Float64(t_1 + 0.5) return Float64(Float64(pi / sin(Float64(pi * z))) * Float64(Float64(Float64(sqrt(Float64(pi * 2.0)) * (t_2 ^ Float64(t_0 + 0.5))) * exp(Float64(-t_2))) * Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(0.9999999999998099 + Float64(676.5203681218851 / Float64(t_0 + 1.0))) + Float64(-1259.1392167224028 / Float64(t_0 + 2.0))) + Float64(771.3234287776531 / Float64(t_0 + 3.0))) + Float64(-176.6150291621406 / Float64(t_0 + 4.0))) + Float64(12.507343278686905 / Float64(t_0 + 5.0))) + Float64(-0.13857109526572012 / Float64(t_0 + 6.0))) + Float64(9.984369578019572e-6 / t_1)) + Float64(1.5056327351493116e-7 / Float64(t_0 + 8.0))))) end
function tmp = code(z) t_0 = (1.0 - z) - 1.0; t_1 = t_0 + 7.0; t_2 = t_1 + 0.5; tmp = (pi / sin((pi * z))) * (((sqrt((pi * 2.0)) * (t_2 ^ (t_0 + 0.5))) * exp(-t_2)) * ((((((((0.9999999999998099 + (676.5203681218851 / (t_0 + 1.0))) + (-1259.1392167224028 / (t_0 + 2.0))) + (771.3234287776531 / (t_0 + 3.0))) + (-176.6150291621406 / (t_0 + 4.0))) + (12.507343278686905 / (t_0 + 5.0))) + (-0.13857109526572012 / (t_0 + 6.0))) + (9.984369578019572e-6 / t_1)) + (1.5056327351493116e-7 / (t_0 + 8.0)))); end
code[z_] := Block[{t$95$0 = N[(N[(1.0 - z), $MachinePrecision] - 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(t$95$0 + 7.0), $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 + 0.5), $MachinePrecision]}, N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[Power[t$95$2, N[(t$95$0 + 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Exp[(-t$95$2)], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(N[(N[(N[(N[(0.9999999999998099 + N[(676.5203681218851 / N[(t$95$0 + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-1259.1392167224028 / N[(t$95$0 + 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(771.3234287776531 / N[(t$95$0 + 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-176.6150291621406 / N[(t$95$0 + 4.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(12.507343278686905 / N[(t$95$0 + 5.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(t$95$0 + 6.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(9.984369578019572e-6 / t$95$1), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(t$95$0 + 8.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(1 - z\right) - 1\\
t_1 := t_0 + 7\\
t_2 := t_1 + 0.5\\
\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\sqrt{\pi \cdot 2} \cdot {t_2}^{\left(t_0 + 0.5\right)}\right) \cdot e^{-t_2}\right) \cdot \left(\left(\left(\left(\left(\left(\left(\left(0.9999999999998099 + \frac{676.5203681218851}{t_0 + 1}\right) + \frac{-1259.1392167224028}{t_0 + 2}\right) + \frac{771.3234287776531}{t_0 + 3}\right) + \frac{-176.6150291621406}{t_0 + 4}\right) + \frac{12.507343278686905}{t_0 + 5}\right) + \frac{-0.13857109526572012}{t_0 + 6}\right) + \frac{9.984369578019572 \cdot 10^{-6}}{t_1}\right) + \frac{1.5056327351493116 \cdot 10^{-7}}{t_0 + 8}\right)\right)
\end{array}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 9 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (z)
:precision binary64
(let* ((t_0 (- (- 1.0 z) 1.0)) (t_1 (+ t_0 7.0)) (t_2 (+ t_1 0.5)))
(*
(/ PI (sin (* PI z)))
(*
(* (* (sqrt (* PI 2.0)) (pow t_2 (+ t_0 0.5))) (exp (- t_2)))
(+
(+
(+
(+
(+
(+
(+
(+ 0.9999999999998099 (/ 676.5203681218851 (+ t_0 1.0)))
(/ -1259.1392167224028 (+ t_0 2.0)))
(/ 771.3234287776531 (+ t_0 3.0)))
(/ -176.6150291621406 (+ t_0 4.0)))
(/ 12.507343278686905 (+ t_0 5.0)))
(/ -0.13857109526572012 (+ t_0 6.0)))
(/ 9.984369578019572e-6 t_1))
(/ 1.5056327351493116e-7 (+ t_0 8.0)))))))
double code(double z) {
double t_0 = (1.0 - z) - 1.0;
double t_1 = t_0 + 7.0;
double t_2 = t_1 + 0.5;
return (((double) M_PI) / sin((((double) M_PI) * z))) * (((sqrt((((double) M_PI) * 2.0)) * pow(t_2, (t_0 + 0.5))) * exp(-t_2)) * ((((((((0.9999999999998099 + (676.5203681218851 / (t_0 + 1.0))) + (-1259.1392167224028 / (t_0 + 2.0))) + (771.3234287776531 / (t_0 + 3.0))) + (-176.6150291621406 / (t_0 + 4.0))) + (12.507343278686905 / (t_0 + 5.0))) + (-0.13857109526572012 / (t_0 + 6.0))) + (9.984369578019572e-6 / t_1)) + (1.5056327351493116e-7 / (t_0 + 8.0))));
}
public static double code(double z) {
double t_0 = (1.0 - z) - 1.0;
double t_1 = t_0 + 7.0;
double t_2 = t_1 + 0.5;
return (Math.PI / Math.sin((Math.PI * z))) * (((Math.sqrt((Math.PI * 2.0)) * Math.pow(t_2, (t_0 + 0.5))) * Math.exp(-t_2)) * ((((((((0.9999999999998099 + (676.5203681218851 / (t_0 + 1.0))) + (-1259.1392167224028 / (t_0 + 2.0))) + (771.3234287776531 / (t_0 + 3.0))) + (-176.6150291621406 / (t_0 + 4.0))) + (12.507343278686905 / (t_0 + 5.0))) + (-0.13857109526572012 / (t_0 + 6.0))) + (9.984369578019572e-6 / t_1)) + (1.5056327351493116e-7 / (t_0 + 8.0))));
}
def code(z): t_0 = (1.0 - z) - 1.0 t_1 = t_0 + 7.0 t_2 = t_1 + 0.5 return (math.pi / math.sin((math.pi * z))) * (((math.sqrt((math.pi * 2.0)) * math.pow(t_2, (t_0 + 0.5))) * math.exp(-t_2)) * ((((((((0.9999999999998099 + (676.5203681218851 / (t_0 + 1.0))) + (-1259.1392167224028 / (t_0 + 2.0))) + (771.3234287776531 / (t_0 + 3.0))) + (-176.6150291621406 / (t_0 + 4.0))) + (12.507343278686905 / (t_0 + 5.0))) + (-0.13857109526572012 / (t_0 + 6.0))) + (9.984369578019572e-6 / t_1)) + (1.5056327351493116e-7 / (t_0 + 8.0))))
function code(z) t_0 = Float64(Float64(1.0 - z) - 1.0) t_1 = Float64(t_0 + 7.0) t_2 = Float64(t_1 + 0.5) return Float64(Float64(pi / sin(Float64(pi * z))) * Float64(Float64(Float64(sqrt(Float64(pi * 2.0)) * (t_2 ^ Float64(t_0 + 0.5))) * exp(Float64(-t_2))) * Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(0.9999999999998099 + Float64(676.5203681218851 / Float64(t_0 + 1.0))) + Float64(-1259.1392167224028 / Float64(t_0 + 2.0))) + Float64(771.3234287776531 / Float64(t_0 + 3.0))) + Float64(-176.6150291621406 / Float64(t_0 + 4.0))) + Float64(12.507343278686905 / Float64(t_0 + 5.0))) + Float64(-0.13857109526572012 / Float64(t_0 + 6.0))) + Float64(9.984369578019572e-6 / t_1)) + Float64(1.5056327351493116e-7 / Float64(t_0 + 8.0))))) end
function tmp = code(z) t_0 = (1.0 - z) - 1.0; t_1 = t_0 + 7.0; t_2 = t_1 + 0.5; tmp = (pi / sin((pi * z))) * (((sqrt((pi * 2.0)) * (t_2 ^ (t_0 + 0.5))) * exp(-t_2)) * ((((((((0.9999999999998099 + (676.5203681218851 / (t_0 + 1.0))) + (-1259.1392167224028 / (t_0 + 2.0))) + (771.3234287776531 / (t_0 + 3.0))) + (-176.6150291621406 / (t_0 + 4.0))) + (12.507343278686905 / (t_0 + 5.0))) + (-0.13857109526572012 / (t_0 + 6.0))) + (9.984369578019572e-6 / t_1)) + (1.5056327351493116e-7 / (t_0 + 8.0)))); end
code[z_] := Block[{t$95$0 = N[(N[(1.0 - z), $MachinePrecision] - 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(t$95$0 + 7.0), $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 + 0.5), $MachinePrecision]}, N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[Power[t$95$2, N[(t$95$0 + 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Exp[(-t$95$2)], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(N[(N[(N[(N[(0.9999999999998099 + N[(676.5203681218851 / N[(t$95$0 + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-1259.1392167224028 / N[(t$95$0 + 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(771.3234287776531 / N[(t$95$0 + 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-176.6150291621406 / N[(t$95$0 + 4.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(12.507343278686905 / N[(t$95$0 + 5.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(t$95$0 + 6.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(9.984369578019572e-6 / t$95$1), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(t$95$0 + 8.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(1 - z\right) - 1\\
t_1 := t_0 + 7\\
t_2 := t_1 + 0.5\\
\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\sqrt{\pi \cdot 2} \cdot {t_2}^{\left(t_0 + 0.5\right)}\right) \cdot e^{-t_2}\right) \cdot \left(\left(\left(\left(\left(\left(\left(\left(0.9999999999998099 + \frac{676.5203681218851}{t_0 + 1}\right) + \frac{-1259.1392167224028}{t_0 + 2}\right) + \frac{771.3234287776531}{t_0 + 3}\right) + \frac{-176.6150291621406}{t_0 + 4}\right) + \frac{12.507343278686905}{t_0 + 5}\right) + \frac{-0.13857109526572012}{t_0 + 6}\right) + \frac{9.984369578019572 \cdot 10^{-6}}{t_1}\right) + \frac{1.5056327351493116 \cdot 10^{-7}}{t_0 + 8}\right)\right)
\end{array}
\end{array}
(FPCore (z)
:precision binary64
(let* ((t_0 (+ -1.0 (- 1.0 z))))
(*
(/ PI (sin (* PI z)))
(*
(pow
(pow
(*
(* (pow (fma -1.0 z 7.5) (- 0.5 z)) (exp (- (fma -1.0 z 7.5))))
(sqrt (* PI 2.0)))
3.0)
0.3333333333333333)
(+
(+
(+
(+
(+
(+
(+
(+ 0.9999999999998099 (/ 676.5203681218851 (+ 1.0 t_0)))
(/ -1259.1392167224028 (+ 2.0 t_0)))
(/ 771.3234287776531 (+ 3.0 t_0)))
(/ -176.6150291621406 (+ t_0 4.0)))
(/ 12.507343278686905 (+ t_0 5.0)))
(/ -0.13857109526572012 (+ t_0 6.0)))
(/ 9.984369578019572e-6 (+ t_0 7.0)))
(/ 1.5056327351493116e-7 (+ t_0 8.0)))))))
double code(double z) {
double t_0 = -1.0 + (1.0 - z);
return (((double) M_PI) / sin((((double) M_PI) * z))) * (pow(pow(((pow(fma(-1.0, z, 7.5), (0.5 - z)) * exp(-fma(-1.0, z, 7.5))) * sqrt((((double) M_PI) * 2.0))), 3.0), 0.3333333333333333) * ((((((((0.9999999999998099 + (676.5203681218851 / (1.0 + t_0))) + (-1259.1392167224028 / (2.0 + t_0))) + (771.3234287776531 / (3.0 + t_0))) + (-176.6150291621406 / (t_0 + 4.0))) + (12.507343278686905 / (t_0 + 5.0))) + (-0.13857109526572012 / (t_0 + 6.0))) + (9.984369578019572e-6 / (t_0 + 7.0))) + (1.5056327351493116e-7 / (t_0 + 8.0))));
}
function code(z) t_0 = Float64(-1.0 + Float64(1.0 - z)) return Float64(Float64(pi / sin(Float64(pi * z))) * Float64(((Float64(Float64((fma(-1.0, z, 7.5) ^ Float64(0.5 - z)) * exp(Float64(-fma(-1.0, z, 7.5)))) * sqrt(Float64(pi * 2.0))) ^ 3.0) ^ 0.3333333333333333) * Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(0.9999999999998099 + Float64(676.5203681218851 / Float64(1.0 + t_0))) + Float64(-1259.1392167224028 / Float64(2.0 + t_0))) + Float64(771.3234287776531 / Float64(3.0 + t_0))) + Float64(-176.6150291621406 / Float64(t_0 + 4.0))) + Float64(12.507343278686905 / Float64(t_0 + 5.0))) + Float64(-0.13857109526572012 / Float64(t_0 + 6.0))) + Float64(9.984369578019572e-6 / Float64(t_0 + 7.0))) + Float64(1.5056327351493116e-7 / Float64(t_0 + 8.0))))) end
code[z_] := Block[{t$95$0 = N[(-1.0 + N[(1.0 - z), $MachinePrecision]), $MachinePrecision]}, N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[Power[N[(N[(N[Power[N[(-1.0 * z + 7.5), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[Exp[(-N[(-1.0 * z + 7.5), $MachinePrecision])], $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision], 0.3333333333333333], $MachinePrecision] * N[(N[(N[(N[(N[(N[(N[(N[(0.9999999999998099 + N[(676.5203681218851 / N[(1.0 + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-1259.1392167224028 / N[(2.0 + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(771.3234287776531 / N[(3.0 + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-176.6150291621406 / N[(t$95$0 + 4.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(12.507343278686905 / N[(t$95$0 + 5.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(t$95$0 + 6.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(9.984369578019572e-6 / N[(t$95$0 + 7.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(t$95$0 + 8.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := -1 + \left(1 - z\right)\\
\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left({\left({\left(\left({\left(\mathsf{fma}\left(-1, z, 7.5\right)\right)}^{\left(0.5 - z\right)} \cdot e^{-\mathsf{fma}\left(-1, z, 7.5\right)}\right) \cdot \sqrt{\pi \cdot 2}\right)}^{3}\right)}^{0.3333333333333333} \cdot \left(\left(\left(\left(\left(\left(\left(\left(0.9999999999998099 + \frac{676.5203681218851}{1 + t_0}\right) + \frac{-1259.1392167224028}{2 + t_0}\right) + \frac{771.3234287776531}{3 + t_0}\right) + \frac{-176.6150291621406}{t_0 + 4}\right) + \frac{12.507343278686905}{t_0 + 5}\right) + \frac{-0.13857109526572012}{t_0 + 6}\right) + \frac{9.984369578019572 \cdot 10^{-6}}{t_0 + 7}\right) + \frac{1.5056327351493116 \cdot 10^{-7}}{t_0 + 8}\right)\right)
\end{array}
\end{array}
Initial program 97.0%
add-cbrt-cube97.1%
pow1/399.0%
Applied egg-rr99.0%
Final simplification99.0%
(FPCore (z)
:precision binary64
(*
(+
(+
(+
0.9999999999998099
(+
(/ 676.5203681218851 (- 1.0 z))
(/ -1259.1392167224028 (+ 1.0 (- 1.0 z)))))
(+
(/ 771.3234287776531 (+ 2.0 (- 1.0 z)))
(+
(/ -176.6150291621406 (+ 3.0 (- 1.0 z)))
(/ 12.507343278686905 (+ (- 1.0 z) 4.0)))))
(+
(/ -0.13857109526572012 (+ (- 1.0 z) 5.0))
(+
(/ 9.984369578019572e-6 (+ (- 1.0 z) 6.0))
(/ 1.5056327351493116e-7 (+ (- 1.0 z) 7.0)))))
(*
(/ PI (sin (* PI z)))
(*
(sqrt (* PI 2.0))
(cbrt
(pow
(* (pow (+ (- 1.0 z) 6.5) (- 0.5 z)) (exp (+ (+ z -1.0) -6.5)))
3.0))))))
double code(double z) {
return (((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (1.0 + (1.0 - z))))) + ((771.3234287776531 / (2.0 + (1.0 - z))) + ((-176.6150291621406 / (3.0 + (1.0 - z))) + (12.507343278686905 / ((1.0 - z) + 4.0))))) + ((-0.13857109526572012 / ((1.0 - z) + 5.0)) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0))))) * ((((double) M_PI) / sin((((double) M_PI) * z))) * (sqrt((((double) M_PI) * 2.0)) * cbrt(pow((pow(((1.0 - z) + 6.5), (0.5 - z)) * exp(((z + -1.0) + -6.5))), 3.0))));
}
public static double code(double z) {
return (((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (1.0 + (1.0 - z))))) + ((771.3234287776531 / (2.0 + (1.0 - z))) + ((-176.6150291621406 / (3.0 + (1.0 - z))) + (12.507343278686905 / ((1.0 - z) + 4.0))))) + ((-0.13857109526572012 / ((1.0 - z) + 5.0)) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0))))) * ((Math.PI / Math.sin((Math.PI * z))) * (Math.sqrt((Math.PI * 2.0)) * Math.cbrt(Math.pow((Math.pow(((1.0 - z) + 6.5), (0.5 - z)) * Math.exp(((z + -1.0) + -6.5))), 3.0))));
}
function code(z) return Float64(Float64(Float64(Float64(0.9999999999998099 + Float64(Float64(676.5203681218851 / Float64(1.0 - z)) + Float64(-1259.1392167224028 / Float64(1.0 + Float64(1.0 - z))))) + Float64(Float64(771.3234287776531 / Float64(2.0 + Float64(1.0 - z))) + Float64(Float64(-176.6150291621406 / Float64(3.0 + Float64(1.0 - z))) + Float64(12.507343278686905 / Float64(Float64(1.0 - z) + 4.0))))) + Float64(Float64(-0.13857109526572012 / Float64(Float64(1.0 - z) + 5.0)) + Float64(Float64(9.984369578019572e-6 / Float64(Float64(1.0 - z) + 6.0)) + Float64(1.5056327351493116e-7 / Float64(Float64(1.0 - z) + 7.0))))) * Float64(Float64(pi / sin(Float64(pi * z))) * Float64(sqrt(Float64(pi * 2.0)) * cbrt((Float64((Float64(Float64(1.0 - z) + 6.5) ^ Float64(0.5 - z)) * exp(Float64(Float64(z + -1.0) + -6.5))) ^ 3.0))))) end
code[z_] := N[(N[(N[(N[(0.9999999999998099 + N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + N[(-1259.1392167224028 / N[(1.0 + N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(771.3234287776531 / N[(2.0 + N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(-176.6150291621406 / N[(3.0 + N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(12.507343278686905 / N[(N[(1.0 - z), $MachinePrecision] + 4.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(-0.13857109526572012 / N[(N[(1.0 - z), $MachinePrecision] + 5.0), $MachinePrecision]), $MachinePrecision] + N[(N[(9.984369578019572e-6 / N[(N[(1.0 - z), $MachinePrecision] + 6.0), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(N[(1.0 - z), $MachinePrecision] + 7.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[Power[N[Power[N[(N[Power[N[(N[(1.0 - z), $MachinePrecision] + 6.5), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(N[(z + -1.0), $MachinePrecision] + -6.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(0.9999999999998099 + \left(\frac{676.5203681218851}{1 - z} + \frac{-1259.1392167224028}{1 + \left(1 - z\right)}\right)\right) + \left(\frac{771.3234287776531}{2 + \left(1 - z\right)} + \left(\frac{-176.6150291621406}{3 + \left(1 - z\right)} + \frac{12.507343278686905}{\left(1 - z\right) + 4}\right)\right)\right) + \left(\frac{-0.13857109526572012}{\left(1 - z\right) + 5} + \left(\frac{9.984369578019572 \cdot 10^{-6}}{\left(1 - z\right) + 6} + \frac{1.5056327351493116 \cdot 10^{-7}}{\left(1 - z\right) + 7}\right)\right)\right) \cdot \left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\sqrt{\pi \cdot 2} \cdot \sqrt[3]{{\left({\left(\left(1 - z\right) + 6.5\right)}^{\left(0.5 - z\right)} \cdot e^{\left(z + -1\right) + -6.5}\right)}^{3}}\right)\right)
\end{array}
Initial program 97.0%
Simplified98.7%
add-cbrt-cube98.9%
pow398.9%
Applied egg-rr98.9%
Final simplification98.9%
(FPCore (z)
:precision binary64
(*
(+
(+
(+
0.9999999999998099
(+
(/ 676.5203681218851 (- 1.0 z))
(/ -1259.1392167224028 (+ 1.0 (- 1.0 z)))))
(+
(/ 771.3234287776531 (+ 2.0 (- 1.0 z)))
(+
(/ -176.6150291621406 (+ 3.0 (- 1.0 z)))
(/ 12.507343278686905 (+ (- 1.0 z) 4.0)))))
(+
(/ -0.13857109526572012 (+ (- 1.0 z) 5.0))
(+
(/ 9.984369578019572e-6 (+ (- 1.0 z) 6.0))
(/ 1.5056327351493116e-7 (+ (- 1.0 z) 7.0)))))
(*
(/ PI (sin (* PI z)))
(* (sqrt (* PI 2.0)) (* (pow (- 7.5 z) (- 0.5 z)) (exp (+ z -7.5)))))))
double code(double z) {
return (((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (1.0 + (1.0 - z))))) + ((771.3234287776531 / (2.0 + (1.0 - z))) + ((-176.6150291621406 / (3.0 + (1.0 - z))) + (12.507343278686905 / ((1.0 - z) + 4.0))))) + ((-0.13857109526572012 / ((1.0 - z) + 5.0)) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0))))) * ((((double) M_PI) / sin((((double) M_PI) * z))) * (sqrt((((double) M_PI) * 2.0)) * (pow((7.5 - z), (0.5 - z)) * exp((z + -7.5)))));
}
public static double code(double z) {
return (((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (1.0 + (1.0 - z))))) + ((771.3234287776531 / (2.0 + (1.0 - z))) + ((-176.6150291621406 / (3.0 + (1.0 - z))) + (12.507343278686905 / ((1.0 - z) + 4.0))))) + ((-0.13857109526572012 / ((1.0 - z) + 5.0)) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0))))) * ((Math.PI / Math.sin((Math.PI * z))) * (Math.sqrt((Math.PI * 2.0)) * (Math.pow((7.5 - z), (0.5 - z)) * Math.exp((z + -7.5)))));
}
def code(z): return (((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (1.0 + (1.0 - z))))) + ((771.3234287776531 / (2.0 + (1.0 - z))) + ((-176.6150291621406 / (3.0 + (1.0 - z))) + (12.507343278686905 / ((1.0 - z) + 4.0))))) + ((-0.13857109526572012 / ((1.0 - z) + 5.0)) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0))))) * ((math.pi / math.sin((math.pi * z))) * (math.sqrt((math.pi * 2.0)) * (math.pow((7.5 - z), (0.5 - z)) * math.exp((z + -7.5)))))
function code(z) return Float64(Float64(Float64(Float64(0.9999999999998099 + Float64(Float64(676.5203681218851 / Float64(1.0 - z)) + Float64(-1259.1392167224028 / Float64(1.0 + Float64(1.0 - z))))) + Float64(Float64(771.3234287776531 / Float64(2.0 + Float64(1.0 - z))) + Float64(Float64(-176.6150291621406 / Float64(3.0 + Float64(1.0 - z))) + Float64(12.507343278686905 / Float64(Float64(1.0 - z) + 4.0))))) + Float64(Float64(-0.13857109526572012 / Float64(Float64(1.0 - z) + 5.0)) + Float64(Float64(9.984369578019572e-6 / Float64(Float64(1.0 - z) + 6.0)) + Float64(1.5056327351493116e-7 / Float64(Float64(1.0 - z) + 7.0))))) * Float64(Float64(pi / sin(Float64(pi * z))) * Float64(sqrt(Float64(pi * 2.0)) * Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * exp(Float64(z + -7.5)))))) end
function tmp = code(z) tmp = (((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (1.0 + (1.0 - z))))) + ((771.3234287776531 / (2.0 + (1.0 - z))) + ((-176.6150291621406 / (3.0 + (1.0 - z))) + (12.507343278686905 / ((1.0 - z) + 4.0))))) + ((-0.13857109526572012 / ((1.0 - z) + 5.0)) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0))))) * ((pi / sin((pi * z))) * (sqrt((pi * 2.0)) * (((7.5 - z) ^ (0.5 - z)) * exp((z + -7.5))))); end
code[z_] := N[(N[(N[(N[(0.9999999999998099 + N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + N[(-1259.1392167224028 / N[(1.0 + N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(771.3234287776531 / N[(2.0 + N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(-176.6150291621406 / N[(3.0 + N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(12.507343278686905 / N[(N[(1.0 - z), $MachinePrecision] + 4.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(-0.13857109526572012 / N[(N[(1.0 - z), $MachinePrecision] + 5.0), $MachinePrecision]), $MachinePrecision] + N[(N[(9.984369578019572e-6 / N[(N[(1.0 - z), $MachinePrecision] + 6.0), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(N[(1.0 - z), $MachinePrecision] + 7.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(0.9999999999998099 + \left(\frac{676.5203681218851}{1 - z} + \frac{-1259.1392167224028}{1 + \left(1 - z\right)}\right)\right) + \left(\frac{771.3234287776531}{2 + \left(1 - z\right)} + \left(\frac{-176.6150291621406}{3 + \left(1 - z\right)} + \frac{12.507343278686905}{\left(1 - z\right) + 4}\right)\right)\right) + \left(\frac{-0.13857109526572012}{\left(1 - z\right) + 5} + \left(\frac{9.984369578019572 \cdot 10^{-6}}{\left(1 - z\right) + 6} + \frac{1.5056327351493116 \cdot 10^{-7}}{\left(1 - z\right) + 7}\right)\right)\right) \cdot \left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\sqrt{\pi \cdot 2} \cdot \left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot e^{z + -7.5}\right)\right)\right)
\end{array}
Initial program 97.0%
Simplified98.7%
*-commutative98.7%
add-exp-log97.8%
log-prod97.8%
add-log-exp98.2%
distribute-neg-in98.2%
metadata-eval98.2%
*-un-lft-identity98.2%
fma-def98.2%
metadata-eval98.2%
fma-neg98.2%
*-un-lft-identity98.2%
metadata-eval98.2%
associate-+l-98.2%
log-pow98.2%
Applied egg-rr98.2%
Taylor expanded in z around inf 98.2%
+-commutative98.2%
sub-neg98.2%
mul-1-neg98.2%
sub-neg98.2%
mul-1-neg98.2%
associate--l+98.2%
prod-exp98.7%
exp-to-pow98.7%
mul-1-neg98.7%
sub-neg98.7%
mul-1-neg98.7%
sub-neg98.7%
sub-neg98.7%
metadata-eval98.7%
Simplified98.7%
Final simplification98.7%
(FPCore (z)
:precision binary64
(*
(* (sqrt (* PI 2.0)) (* (pow (- 7.5 z) (- 0.5 z)) (exp (+ z -7.5))))
(*
(/ PI (sin (* PI z)))
(+
(+
(+ (/ 9.984369578019572e-6 (- 7.0 z)) (/ 1.5056327351493116e-7 (- 8.0 z)))
(+
(+
0.9999999999998099
(+ (/ 676.5203681218851 (- 1.0 z)) (/ -1259.1392167224028 (- 2.0 z))))
(* 771.3234287776531 (/ 1.0 (- 3.0 z)))))
(+
(- (* z -10.53814559148631) 41.65228863479777)
(/ -0.13857109526572012 (- 6.0 z)))))))
double code(double z) {
return (sqrt((((double) M_PI) * 2.0)) * (pow((7.5 - z), (0.5 - z)) * exp((z + -7.5)))) * ((((double) M_PI) / sin((((double) M_PI) * z))) * ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z)))) + (771.3234287776531 * (1.0 / (3.0 - z))))) + (((z * -10.53814559148631) - 41.65228863479777) + (-0.13857109526572012 / (6.0 - z)))));
}
public static double code(double z) {
return (Math.sqrt((Math.PI * 2.0)) * (Math.pow((7.5 - z), (0.5 - z)) * Math.exp((z + -7.5)))) * ((Math.PI / Math.sin((Math.PI * z))) * ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z)))) + (771.3234287776531 * (1.0 / (3.0 - z))))) + (((z * -10.53814559148631) - 41.65228863479777) + (-0.13857109526572012 / (6.0 - z)))));
}
def code(z): return (math.sqrt((math.pi * 2.0)) * (math.pow((7.5 - z), (0.5 - z)) * math.exp((z + -7.5)))) * ((math.pi / math.sin((math.pi * z))) * ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z)))) + (771.3234287776531 * (1.0 / (3.0 - z))))) + (((z * -10.53814559148631) - 41.65228863479777) + (-0.13857109526572012 / (6.0 - z)))))
function code(z) return Float64(Float64(sqrt(Float64(pi * 2.0)) * Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * exp(Float64(z + -7.5)))) * Float64(Float64(pi / sin(Float64(pi * z))) * Float64(Float64(Float64(Float64(9.984369578019572e-6 / Float64(7.0 - z)) + Float64(1.5056327351493116e-7 / Float64(8.0 - z))) + Float64(Float64(0.9999999999998099 + Float64(Float64(676.5203681218851 / Float64(1.0 - z)) + Float64(-1259.1392167224028 / Float64(2.0 - z)))) + Float64(771.3234287776531 * Float64(1.0 / Float64(3.0 - z))))) + Float64(Float64(Float64(z * -10.53814559148631) - 41.65228863479777) + Float64(-0.13857109526572012 / Float64(6.0 - z)))))) end
function tmp = code(z) tmp = (sqrt((pi * 2.0)) * (((7.5 - z) ^ (0.5 - z)) * exp((z + -7.5)))) * ((pi / sin((pi * z))) * ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z)))) + (771.3234287776531 * (1.0 / (3.0 - z))))) + (((z * -10.53814559148631) - 41.65228863479777) + (-0.13857109526572012 / (6.0 - z))))); end
code[z_] := N[(N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(9.984369578019572e-6 / N[(7.0 - z), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(8.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(0.9999999999998099 + N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(771.3234287776531 * N[(1.0 / N[(3.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(z * -10.53814559148631), $MachinePrecision] - 41.65228863479777), $MachinePrecision] + N[(-0.13857109526572012 / N[(6.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\sqrt{\pi \cdot 2} \cdot \left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot e^{z + -7.5}\right)\right) \cdot \left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \frac{1.5056327351493116 \cdot 10^{-7}}{8 - z}\right) + \left(\left(0.9999999999998099 + \left(\frac{676.5203681218851}{1 - z} + \frac{-1259.1392167224028}{2 - z}\right)\right) + 771.3234287776531 \cdot \frac{1}{3 - z}\right)\right) + \left(\left(z \cdot -10.53814559148631 - 41.65228863479777\right) + \frac{-0.13857109526572012}{6 - z}\right)\right)\right)
\end{array}
Initial program 97.0%
Simplified97.0%
Taylor expanded in z around 0 96.5%
Taylor expanded in z around inf 96.5%
*-commutative96.5%
sub-neg96.5%
metadata-eval96.5%
+-commutative96.5%
exp-to-pow96.5%
Simplified96.5%
div-inv97.9%
Applied egg-rr97.9%
Final simplification97.9%
(FPCore (z)
:precision binary64
(*
(/ PI (sin (* PI z)))
(*
(exp (+ z -7.5))
(*
(pow (- 7.5 z) (- 0.5 z))
(*
(sqrt (* PI 2.0))
(+
(+ 47.95075976068351 (/ 771.3234287776531 (- 3.0 z)))
(+
(/ 1.5056327351493116e-7 (- 8.0 z))
(+
(/ -176.6150291621406 (- 4.0 z))
(+
(/ 12.507343278686905 (- 5.0 z))
(+
(/ 9.984369578019572e-6 (- 7.0 z))
(/ -0.13857109526572012 (- 6.0 z))))))))))))
double code(double z) {
return (((double) M_PI) / sin((((double) M_PI) * z))) * (exp((z + -7.5)) * (pow((7.5 - z), (0.5 - z)) * (sqrt((((double) M_PI) * 2.0)) * ((47.95075976068351 + (771.3234287776531 / (3.0 - z))) + ((1.5056327351493116e-7 / (8.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + ((12.507343278686905 / (5.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (-0.13857109526572012 / (6.0 - z))))))))));
}
public static double code(double z) {
return (Math.PI / Math.sin((Math.PI * z))) * (Math.exp((z + -7.5)) * (Math.pow((7.5 - z), (0.5 - z)) * (Math.sqrt((Math.PI * 2.0)) * ((47.95075976068351 + (771.3234287776531 / (3.0 - z))) + ((1.5056327351493116e-7 / (8.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + ((12.507343278686905 / (5.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (-0.13857109526572012 / (6.0 - z))))))))));
}
def code(z): return (math.pi / math.sin((math.pi * z))) * (math.exp((z + -7.5)) * (math.pow((7.5 - z), (0.5 - z)) * (math.sqrt((math.pi * 2.0)) * ((47.95075976068351 + (771.3234287776531 / (3.0 - z))) + ((1.5056327351493116e-7 / (8.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + ((12.507343278686905 / (5.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (-0.13857109526572012 / (6.0 - z))))))))))
function code(z) return Float64(Float64(pi / sin(Float64(pi * z))) * Float64(exp(Float64(z + -7.5)) * Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * Float64(sqrt(Float64(pi * 2.0)) * Float64(Float64(47.95075976068351 + Float64(771.3234287776531 / Float64(3.0 - z))) + Float64(Float64(1.5056327351493116e-7 / Float64(8.0 - z)) + Float64(Float64(-176.6150291621406 / Float64(4.0 - z)) + Float64(Float64(12.507343278686905 / Float64(5.0 - z)) + Float64(Float64(9.984369578019572e-6 / Float64(7.0 - z)) + Float64(-0.13857109526572012 / Float64(6.0 - z))))))))))) end
function tmp = code(z) tmp = (pi / sin((pi * z))) * (exp((z + -7.5)) * (((7.5 - z) ^ (0.5 - z)) * (sqrt((pi * 2.0)) * ((47.95075976068351 + (771.3234287776531 / (3.0 - z))) + ((1.5056327351493116e-7 / (8.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + ((12.507343278686905 / (5.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (-0.13857109526572012 / (6.0 - z)))))))))); end
code[z_] := N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision] * N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[(47.95075976068351 + N[(771.3234287776531 / N[(3.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(1.5056327351493116e-7 / N[(8.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(-176.6150291621406 / N[(4.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(12.507343278686905 / N[(5.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(9.984369578019572e-6 / N[(7.0 - z), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(6.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(e^{z + -7.5} \cdot \left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot \left(\sqrt{\pi \cdot 2} \cdot \left(\left(47.95075976068351 + \frac{771.3234287776531}{3 - z}\right) + \left(\frac{1.5056327351493116 \cdot 10^{-7}}{8 - z} + \left(\frac{-176.6150291621406}{4 - z} + \left(\frac{12.507343278686905}{5 - z} + \left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \frac{-0.13857109526572012}{6 - z}\right)\right)\right)\right)\right)\right)\right)\right)
\end{array}
Initial program 97.0%
expm1-log1p-u97.0%
expm1-udef89.5%
Applied egg-rr89.5%
expm1-def97.0%
expm1-log1p97.0%
associate-*r*97.0%
*-commutative97.0%
fma-udef97.0%
neg-mul-197.0%
+-commutative97.0%
neg-mul-197.0%
neg-mul-197.0%
+-commutative97.0%
distribute-neg-in97.0%
remove-double-neg97.0%
metadata-eval97.0%
+-commutative97.0%
*-commutative97.0%
Simplified97.0%
Taylor expanded in z around 0 96.7%
Applied egg-rr96.1%
Simplified97.5%
Final simplification97.5%
(FPCore (z) :precision binary64 (* 263.3831869810514 (* (sqrt PI) (/ (exp -7.5) (/ z (* (sqrt 7.5) (sqrt 2.0)))))))
double code(double z) {
return 263.3831869810514 * (sqrt(((double) M_PI)) * (exp(-7.5) / (z / (sqrt(7.5) * sqrt(2.0)))));
}
public static double code(double z) {
return 263.3831869810514 * (Math.sqrt(Math.PI) * (Math.exp(-7.5) / (z / (Math.sqrt(7.5) * Math.sqrt(2.0)))));
}
def code(z): return 263.3831869810514 * (math.sqrt(math.pi) * (math.exp(-7.5) / (z / (math.sqrt(7.5) * math.sqrt(2.0)))))
function code(z) return Float64(263.3831869810514 * Float64(sqrt(pi) * Float64(exp(-7.5) / Float64(z / Float64(sqrt(7.5) * sqrt(2.0)))))) end
function tmp = code(z) tmp = 263.3831869810514 * (sqrt(pi) * (exp(-7.5) / (z / (sqrt(7.5) * sqrt(2.0))))); end
code[z_] := N[(263.3831869810514 * N[(N[Sqrt[Pi], $MachinePrecision] * N[(N[Exp[-7.5], $MachinePrecision] / N[(z / N[(N[Sqrt[7.5], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
263.3831869810514 \cdot \left(\sqrt{\pi} \cdot \frac{e^{-7.5}}{\frac{z}{\sqrt{7.5} \cdot \sqrt{2}}}\right)
\end{array}
Initial program 97.0%
Simplified97.0%
Taylor expanded in z around 0 95.6%
Taylor expanded in z around 0 96.6%
Taylor expanded in z around 0 96.9%
associate-/l*97.1%
*-commutative97.1%
Simplified97.1%
Final simplification97.1%
(FPCore (z) :precision binary64 (* 263.3831869810514 (/ (* (* (sqrt 7.5) (sqrt 2.0)) (* (exp -7.5) (sqrt PI))) z)))
double code(double z) {
return 263.3831869810514 * (((sqrt(7.5) * sqrt(2.0)) * (exp(-7.5) * sqrt(((double) M_PI)))) / z);
}
public static double code(double z) {
return 263.3831869810514 * (((Math.sqrt(7.5) * Math.sqrt(2.0)) * (Math.exp(-7.5) * Math.sqrt(Math.PI))) / z);
}
def code(z): return 263.3831869810514 * (((math.sqrt(7.5) * math.sqrt(2.0)) * (math.exp(-7.5) * math.sqrt(math.pi))) / z)
function code(z) return Float64(263.3831869810514 * Float64(Float64(Float64(sqrt(7.5) * sqrt(2.0)) * Float64(exp(-7.5) * sqrt(pi))) / z)) end
function tmp = code(z) tmp = 263.3831869810514 * (((sqrt(7.5) * sqrt(2.0)) * (exp(-7.5) * sqrt(pi))) / z); end
code[z_] := N[(263.3831869810514 * N[(N[(N[(N[Sqrt[7.5], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Exp[-7.5], $MachinePrecision] * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / z), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
263.3831869810514 \cdot \frac{\left(\sqrt{7.5} \cdot \sqrt{2}\right) \cdot \left(e^{-7.5} \cdot \sqrt{\pi}\right)}{z}
\end{array}
Initial program 97.0%
Simplified97.0%
Taylor expanded in z around 0 95.6%
Taylor expanded in z around 0 96.6%
Taylor expanded in z around 0 96.9%
associate-*l/96.7%
*-commutative96.7%
associate-*l*97.4%
*-commutative97.4%
Simplified97.4%
Final simplification97.4%
(FPCore (z) :precision binary64 (* (* (pow (- 7.5 z) (- 0.5 z)) (exp (+ z -7.5))) (* (sqrt (* PI 2.0)) (/ 263.3831869810514 z))))
double code(double z) {
return (pow((7.5 - z), (0.5 - z)) * exp((z + -7.5))) * (sqrt((((double) M_PI) * 2.0)) * (263.3831869810514 / z));
}
public static double code(double z) {
return (Math.pow((7.5 - z), (0.5 - z)) * Math.exp((z + -7.5))) * (Math.sqrt((Math.PI * 2.0)) * (263.3831869810514 / z));
}
def code(z): return (math.pow((7.5 - z), (0.5 - z)) * math.exp((z + -7.5))) * (math.sqrt((math.pi * 2.0)) * (263.3831869810514 / z))
function code(z) return Float64(Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * exp(Float64(z + -7.5))) * Float64(sqrt(Float64(pi * 2.0)) * Float64(263.3831869810514 / z))) end
function tmp = code(z) tmp = (((7.5 - z) ^ (0.5 - z)) * exp((z + -7.5))) * (sqrt((pi * 2.0)) * (263.3831869810514 / z)); end
code[z_] := N[(N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(263.3831869810514 / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot e^{z + -7.5}\right) \cdot \left(\sqrt{\pi \cdot 2} \cdot \frac{263.3831869810514}{z}\right)
\end{array}
Initial program 97.0%
Simplified97.0%
Taylor expanded in z around 0 95.6%
Taylor expanded in z around 0 96.6%
Taylor expanded in z around 0 96.3%
expm1-log1p-u41.6%
expm1-udef41.6%
*-commutative41.6%
neg-mul-141.6%
fma-def41.6%
Applied egg-rr41.6%
expm1-def41.6%
expm1-log1p96.3%
associate-*r*96.5%
*-commutative96.5%
fma-udef96.5%
mul-1-neg96.5%
+-commutative96.5%
sub-neg96.5%
Simplified96.5%
Final simplification96.5%
(FPCore (z) :precision binary64 (* (/ 263.3831869810514 z) (* (sqrt (* PI 2.0)) (* (sqrt 7.5) (exp -7.5)))))
double code(double z) {
return (263.3831869810514 / z) * (sqrt((((double) M_PI) * 2.0)) * (sqrt(7.5) * exp(-7.5)));
}
public static double code(double z) {
return (263.3831869810514 / z) * (Math.sqrt((Math.PI * 2.0)) * (Math.sqrt(7.5) * Math.exp(-7.5)));
}
def code(z): return (263.3831869810514 / z) * (math.sqrt((math.pi * 2.0)) * (math.sqrt(7.5) * math.exp(-7.5)))
function code(z) return Float64(Float64(263.3831869810514 / z) * Float64(sqrt(Float64(pi * 2.0)) * Float64(sqrt(7.5) * exp(-7.5)))) end
function tmp = code(z) tmp = (263.3831869810514 / z) * (sqrt((pi * 2.0)) * (sqrt(7.5) * exp(-7.5))); end
code[z_] := N[(N[(263.3831869810514 / z), $MachinePrecision] * N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[Sqrt[7.5], $MachinePrecision] * N[Exp[-7.5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{263.3831869810514}{z} \cdot \left(\sqrt{\pi \cdot 2} \cdot \left(\sqrt{7.5} \cdot e^{-7.5}\right)\right)
\end{array}
Initial program 97.0%
Simplified97.0%
Taylor expanded in z around 0 95.6%
Taylor expanded in z around 0 96.6%
Taylor expanded in z around 0 96.3%
Taylor expanded in z around 0 96.4%
Final simplification96.4%
herbie shell --seed 2023339
(FPCore (z)
:name "Jmat.Real.gamma, branch z less than 0.5"
:precision binary64
:pre (<= z 0.5)
(* (/ PI (sin (* PI z))) (* (* (* (sqrt (* PI 2.0)) (pow (+ (+ (- (- 1.0 z) 1.0) 7.0) 0.5) (+ (- (- 1.0 z) 1.0) 0.5))) (exp (- (+ (+ (- (- 1.0 z) 1.0) 7.0) 0.5)))) (+ (+ (+ (+ (+ (+ (+ (+ 0.9999999999998099 (/ 676.5203681218851 (+ (- (- 1.0 z) 1.0) 1.0))) (/ -1259.1392167224028 (+ (- (- 1.0 z) 1.0) 2.0))) (/ 771.3234287776531 (+ (- (- 1.0 z) 1.0) 3.0))) (/ -176.6150291621406 (+ (- (- 1.0 z) 1.0) 4.0))) (/ 12.507343278686905 (+ (- (- 1.0 z) 1.0) 5.0))) (/ -0.13857109526572012 (+ (- (- 1.0 z) 1.0) 6.0))) (/ 9.984369578019572e-6 (+ (- (- 1.0 z) 1.0) 7.0))) (/ 1.5056327351493116e-7 (+ (- (- 1.0 z) 1.0) 8.0))))))