
(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 13 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
(*
(*
(/ PI (sin (* PI z)))
(*
(*
(* (sqrt PI) (sqrt 2.0))
(pow (+ (+ (- 1.0 z) -1.0) 7.5) (- (- 1.0 z) 0.5)))
(exp (+ (+ -6.0 (+ z -1.0)) -0.5))))
(+
(+
(+
(+
0.9999999999998099
(+ (/ 676.5203681218851 (- 1.0 z)) (/ -1259.1392167224028 (- 2.0 z))))
(/
(fma 771.3234287776531 (- 4.0 z) (* (- 3.0 z) -176.6150291621406))
(* (- 4.0 z) (- 3.0 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 code(double z) {
return ((((double) M_PI) / sin((((double) M_PI) * z))) * (((sqrt(((double) M_PI)) * sqrt(2.0)) * pow((((1.0 - z) + -1.0) + 7.5), ((1.0 - z) - 0.5))) * exp(((-6.0 + (z + -1.0)) + -0.5)))) * ((((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z)))) + (fma(771.3234287776531, (4.0 - z), ((3.0 - z) * -176.6150291621406)) / ((4.0 - z) * (3.0 - 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))));
}
function code(z) return Float64(Float64(Float64(pi / sin(Float64(pi * z))) * Float64(Float64(Float64(sqrt(pi) * sqrt(2.0)) * (Float64(Float64(Float64(1.0 - z) + -1.0) + 7.5) ^ Float64(Float64(1.0 - z) - 0.5))) * exp(Float64(Float64(-6.0 + Float64(z + -1.0)) + -0.5)))) * Float64(Float64(Float64(Float64(0.9999999999998099 + Float64(Float64(676.5203681218851 / Float64(1.0 - z)) + Float64(-1259.1392167224028 / Float64(2.0 - z)))) + Float64(fma(771.3234287776531, Float64(4.0 - z), Float64(Float64(3.0 - z) * -176.6150291621406)) / Float64(Float64(4.0 - z) * Float64(3.0 - z)))) + Float64(Float64(12.507343278686905 / Float64(Float64(1.0 - z) - -4.0)) + 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))))) end
code[z_] := N[(N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[Sqrt[Pi], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[(N[(N[(1.0 - z), $MachinePrecision] + -1.0), $MachinePrecision] + 7.5), $MachinePrecision], N[(N[(1.0 - z), $MachinePrecision] - 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Exp[N[(N[(-6.0 + N[(z + -1.0), $MachinePrecision]), $MachinePrecision] + -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(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[(N[(771.3234287776531 * N[(4.0 - z), $MachinePrecision] + N[(N[(3.0 - z), $MachinePrecision] * -176.6150291621406), $MachinePrecision]), $MachinePrecision] / N[(N[(4.0 - z), $MachinePrecision] * N[(3.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(12.507343278686905 / N[(N[(1.0 - z), $MachinePrecision] - -4.0), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(N[(1.0 - z), $MachinePrecision] - -5.0), $MachinePrecision]), $MachinePrecision]), $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]
\begin{array}{l}
\\
\left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\sqrt{\pi} \cdot \sqrt{2}\right) \cdot {\left(\left(\left(1 - z\right) + -1\right) + 7.5\right)}^{\left(\left(1 - z\right) - 0.5\right)}\right) \cdot e^{\left(-6 + \left(z + -1\right)\right) + -0.5}\right)\right) \cdot \left(\left(\left(\left(0.9999999999998099 + \left(\frac{676.5203681218851}{1 - z} + \frac{-1259.1392167224028}{2 - z}\right)\right) + \frac{\mathsf{fma}\left(771.3234287776531, 4 - z, \left(3 - z\right) \cdot -176.6150291621406\right)}{\left(4 - z\right) \cdot \left(3 - z\right)}\right) + \left(\frac{12.507343278686905}{\left(1 - z\right) - -4} + \frac{-0.13857109526572012}{\left(1 - z\right) - -5}\right)\right) + \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)
\end{array}
Initial program 97.0%
Simplified98.6%
expm1-log1p-u98.2%
expm1-udef98.2%
Applied egg-rr98.2%
expm1-def98.2%
expm1-log1p98.6%
Simplified98.6%
sqrt-prod97.7%
Applied egg-rr97.7%
frac-add99.0%
fma-def99.0%
associate--l-99.0%
sub-neg99.0%
metadata-eval99.0%
sub-neg99.0%
metadata-eval99.0%
associate--l-99.0%
Applied egg-rr99.0%
+-commutative99.0%
associate--r+99.0%
metadata-eval99.0%
+-commutative99.0%
associate-+r-99.0%
metadata-eval99.0%
+-commutative99.0%
associate-+r-99.0%
metadata-eval99.0%
+-commutative99.0%
associate--r+99.0%
metadata-eval99.0%
Simplified99.0%
Final simplification99.0%
(FPCore (z)
:precision binary64
(*
(*
(/ PI (sin (* PI z)))
(pow
(sqrt (* (sqrt (* PI 2.0)) (* (exp (- z 7.5)) (pow (- 7.5 z) (- 0.5 z)))))
2.0))
(+
(+
(/ 9.984369578019572e-6 (- (- 1.0 z) -6.0))
(/ 1.5056327351493116e-7 (- (- 1.0 z) -7.0)))
(+
(+
(/ 12.507343278686905 (- (- 1.0 z) -4.0))
(/ -0.13857109526572012 (- (- 1.0 z) -5.0)))
(+
(+
0.9999999999998099
(+
(/ 676.5203681218851 (- 1.0 z))
(/ -1259.1392167224028 (- (- 1.0 z) -1.0))))
(+
(/ 771.3234287776531 (- (- 1.0 z) -2.0))
(/ -176.6150291621406 (- (- 1.0 z) -3.0))))))))
double code(double z) {
return ((((double) M_PI) / sin((((double) M_PI) * z))) * pow(sqrt((sqrt((((double) M_PI) * 2.0)) * (exp((z - 7.5)) * pow((7.5 - z), (0.5 - z))))), 2.0)) * (((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0))) + (((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0))) + ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / ((1.0 - z) - -1.0)))) + ((771.3234287776531 / ((1.0 - z) - -2.0)) + (-176.6150291621406 / ((1.0 - z) - -3.0))))));
}
public static double code(double z) {
return ((Math.PI / Math.sin((Math.PI * z))) * Math.pow(Math.sqrt((Math.sqrt((Math.PI * 2.0)) * (Math.exp((z - 7.5)) * Math.pow((7.5 - z), (0.5 - z))))), 2.0)) * (((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0))) + (((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0))) + ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / ((1.0 - z) - -1.0)))) + ((771.3234287776531 / ((1.0 - z) - -2.0)) + (-176.6150291621406 / ((1.0 - z) - -3.0))))));
}
def code(z): return ((math.pi / math.sin((math.pi * z))) * math.pow(math.sqrt((math.sqrt((math.pi * 2.0)) * (math.exp((z - 7.5)) * math.pow((7.5 - z), (0.5 - z))))), 2.0)) * (((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0))) + (((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0))) + ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / ((1.0 - z) - -1.0)))) + ((771.3234287776531 / ((1.0 - z) - -2.0)) + (-176.6150291621406 / ((1.0 - z) - -3.0))))))
function code(z) return Float64(Float64(Float64(pi / sin(Float64(pi * z))) * (sqrt(Float64(sqrt(Float64(pi * 2.0)) * Float64(exp(Float64(z - 7.5)) * (Float64(7.5 - z) ^ Float64(0.5 - z))))) ^ 2.0)) * Float64(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(Float64(12.507343278686905 / Float64(Float64(1.0 - z) - -4.0)) + Float64(-0.13857109526572012 / Float64(Float64(1.0 - z) - -5.0))) + Float64(Float64(0.9999999999998099 + Float64(Float64(676.5203681218851 / Float64(1.0 - z)) + Float64(-1259.1392167224028 / Float64(Float64(1.0 - z) - -1.0)))) + Float64(Float64(771.3234287776531 / Float64(Float64(1.0 - z) - -2.0)) + Float64(-176.6150291621406 / Float64(Float64(1.0 - z) - -3.0))))))) end
function tmp = code(z) tmp = ((pi / sin((pi * z))) * (sqrt((sqrt((pi * 2.0)) * (exp((z - 7.5)) * ((7.5 - z) ^ (0.5 - z))))) ^ 2.0)) * (((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0))) + (((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0))) + ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / ((1.0 - z) - -1.0)))) + ((771.3234287776531 / ((1.0 - z) - -2.0)) + (-176.6150291621406 / ((1.0 - z) - -3.0)))))); end
code[z_] := N[(N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sqrt[N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[Exp[N[(z - 7.5), $MachinePrecision]], $MachinePrecision] * N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(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] + N[(N[(N[(12.507343278686905 / N[(N[(1.0 - z), $MachinePrecision] - -4.0), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(N[(1.0 - z), $MachinePrecision] - -5.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(0.9999999999998099 + N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + N[(-1259.1392167224028 / N[(N[(1.0 - z), $MachinePrecision] - -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(771.3234287776531 / N[(N[(1.0 - z), $MachinePrecision] - -2.0), $MachinePrecision]), $MachinePrecision] + N[(-176.6150291621406 / N[(N[(1.0 - z), $MachinePrecision] - -3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot {\left(\sqrt{\sqrt{\pi \cdot 2} \cdot \left(e^{z - 7.5} \cdot {\left(7.5 - z\right)}^{\left(0.5 - z\right)}\right)}\right)}^{2}\right) \cdot \left(\left(\frac{9.984369578019572 \cdot 10^{-6}}{\left(1 - z\right) - -6} + \frac{1.5056327351493116 \cdot 10^{-7}}{\left(1 - z\right) - -7}\right) + \left(\left(\frac{12.507343278686905}{\left(1 - z\right) - -4} + \frac{-0.13857109526572012}{\left(1 - z\right) - -5}\right) + \left(\left(0.9999999999998099 + \left(\frac{676.5203681218851}{1 - z} + \frac{-1259.1392167224028}{\left(1 - z\right) - -1}\right)\right) + \left(\frac{771.3234287776531}{\left(1 - z\right) - -2} + \frac{-176.6150291621406}{\left(1 - z\right) - -3}\right)\right)\right)\right)
\end{array}
Initial program 97.0%
Simplified98.6%
Applied egg-rr98.9%
Final simplification98.9%
(FPCore (z)
:precision binary64
(*
(/
(* (* (* PI (sqrt (* PI 2.0))) (pow (- 7.5 z) (- 0.5 z))) (exp (+ z -7.5)))
(sin (* PI z)))
(+
(+
(+ (/ 9.984369578019572e-6 (- 7.0 z)) (/ 1.5056327351493116e-7 (- 8.0 z)))
(+ (/ 12.507343278686905 (- 5.0 z)) (/ -0.13857109526572012 (- 6.0 z))))
(+
0.9999999999998099
(+
(+ (/ 676.5203681218851 (- 1.0 z)) (/ -1259.1392167224028 (- 2.0 z)))
(+ (/ 771.3234287776531 (- 3.0 z)) (/ -176.6150291621406 (- 4.0 z))))))))
double code(double z) {
return ((((((double) M_PI) * sqrt((((double) M_PI) * 2.0))) * pow((7.5 - z), (0.5 - z))) * exp((z + -7.5))) / sin((((double) M_PI) * z))) * ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + ((12.507343278686905 / (5.0 - z)) + (-0.13857109526572012 / (6.0 - z)))) + (0.9999999999998099 + (((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z))) + ((771.3234287776531 / (3.0 - z)) + (-176.6150291621406 / (4.0 - z))))));
}
public static double code(double z) {
return ((((Math.PI * Math.sqrt((Math.PI * 2.0))) * Math.pow((7.5 - z), (0.5 - z))) * Math.exp((z + -7.5))) / Math.sin((Math.PI * z))) * ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + ((12.507343278686905 / (5.0 - z)) + (-0.13857109526572012 / (6.0 - z)))) + (0.9999999999998099 + (((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z))) + ((771.3234287776531 / (3.0 - z)) + (-176.6150291621406 / (4.0 - z))))));
}
def code(z): return ((((math.pi * math.sqrt((math.pi * 2.0))) * math.pow((7.5 - z), (0.5 - z))) * math.exp((z + -7.5))) / math.sin((math.pi * z))) * ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + ((12.507343278686905 / (5.0 - z)) + (-0.13857109526572012 / (6.0 - z)))) + (0.9999999999998099 + (((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z))) + ((771.3234287776531 / (3.0 - z)) + (-176.6150291621406 / (4.0 - z))))))
function code(z) return Float64(Float64(Float64(Float64(Float64(pi * sqrt(Float64(pi * 2.0))) * (Float64(7.5 - z) ^ Float64(0.5 - z))) * exp(Float64(z + -7.5))) / 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(12.507343278686905 / Float64(5.0 - z)) + Float64(-0.13857109526572012 / Float64(6.0 - z)))) + Float64(0.9999999999998099 + Float64(Float64(Float64(676.5203681218851 / Float64(1.0 - z)) + Float64(-1259.1392167224028 / Float64(2.0 - z))) + Float64(Float64(771.3234287776531 / Float64(3.0 - z)) + Float64(-176.6150291621406 / Float64(4.0 - z))))))) end
function tmp = code(z) tmp = ((((pi * sqrt((pi * 2.0))) * ((7.5 - z) ^ (0.5 - z))) * exp((z + -7.5))) / sin((pi * z))) * ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + ((12.507343278686905 / (5.0 - z)) + (-0.13857109526572012 / (6.0 - z)))) + (0.9999999999998099 + (((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z))) + ((771.3234287776531 / (3.0 - z)) + (-176.6150291621406 / (4.0 - z)))))); end
code[z_] := N[(N[(N[(N[(N[(Pi * N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / 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[(12.507343278686905 / N[(5.0 - z), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(6.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.9999999999998099 + N[(N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(771.3234287776531 / N[(3.0 - z), $MachinePrecision]), $MachinePrecision] + N[(-176.6150291621406 / N[(4.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\left(\left(\pi \cdot \sqrt{\pi \cdot 2}\right) \cdot {\left(7.5 - z\right)}^{\left(0.5 - z\right)}\right) \cdot e^{z + -7.5}}{\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(\frac{12.507343278686905}{5 - z} + \frac{-0.13857109526572012}{6 - z}\right)\right) + \left(0.9999999999998099 + \left(\left(\frac{676.5203681218851}{1 - z} + \frac{-1259.1392167224028}{2 - z}\right) + \left(\frac{771.3234287776531}{3 - z} + \frac{-176.6150291621406}{4 - z}\right)\right)\right)\right)
\end{array}
Initial program 97.0%
Simplified98.8%
Applied egg-rr97.4%
expm1-def97.4%
expm1-log1p98.8%
associate-+l+97.4%
Simplified97.4%
Final simplification97.4%
(FPCore (z)
:precision binary64
(*
(+
(+
(+ 0.9999999999998099 (/ 676.5203681218851 (- 1.0 z)))
(+
(/ -1259.1392167224028 (- 2.0 z))
(+ (/ 771.3234287776531 (- 3.0 z)) (/ -176.6150291621406 (- 4.0 z)))))
(+
(+ (/ 9.984369578019572e-6 (- 7.0 z)) (/ 1.5056327351493116e-7 (- 8.0 z)))
(+ (/ 12.507343278686905 (- 5.0 z)) (/ -0.13857109526572012 (- 6.0 z)))))
(/
(* (* (* PI (sqrt (* PI 2.0))) (pow (- 7.5 z) (- 0.5 z))) (exp (+ z -7.5)))
(sin (* PI z)))))
double code(double z) {
return (((0.9999999999998099 + (676.5203681218851 / (1.0 - z))) + ((-1259.1392167224028 / (2.0 - z)) + ((771.3234287776531 / (3.0 - z)) + (-176.6150291621406 / (4.0 - z))))) + (((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + ((12.507343278686905 / (5.0 - z)) + (-0.13857109526572012 / (6.0 - z))))) * ((((((double) M_PI) * sqrt((((double) M_PI) * 2.0))) * pow((7.5 - z), (0.5 - z))) * exp((z + -7.5))) / sin((((double) M_PI) * z)));
}
public static double code(double z) {
return (((0.9999999999998099 + (676.5203681218851 / (1.0 - z))) + ((-1259.1392167224028 / (2.0 - z)) + ((771.3234287776531 / (3.0 - z)) + (-176.6150291621406 / (4.0 - z))))) + (((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + ((12.507343278686905 / (5.0 - z)) + (-0.13857109526572012 / (6.0 - z))))) * ((((Math.PI * Math.sqrt((Math.PI * 2.0))) * Math.pow((7.5 - z), (0.5 - z))) * Math.exp((z + -7.5))) / Math.sin((Math.PI * z)));
}
def code(z): return (((0.9999999999998099 + (676.5203681218851 / (1.0 - z))) + ((-1259.1392167224028 / (2.0 - z)) + ((771.3234287776531 / (3.0 - z)) + (-176.6150291621406 / (4.0 - z))))) + (((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + ((12.507343278686905 / (5.0 - z)) + (-0.13857109526572012 / (6.0 - z))))) * ((((math.pi * math.sqrt((math.pi * 2.0))) * math.pow((7.5 - z), (0.5 - z))) * math.exp((z + -7.5))) / math.sin((math.pi * z)))
function code(z) return Float64(Float64(Float64(Float64(0.9999999999998099 + Float64(676.5203681218851 / Float64(1.0 - z))) + Float64(Float64(-1259.1392167224028 / Float64(2.0 - z)) + Float64(Float64(771.3234287776531 / Float64(3.0 - z)) + Float64(-176.6150291621406 / Float64(4.0 - z))))) + Float64(Float64(Float64(9.984369578019572e-6 / Float64(7.0 - z)) + Float64(1.5056327351493116e-7 / Float64(8.0 - z))) + Float64(Float64(12.507343278686905 / Float64(5.0 - z)) + Float64(-0.13857109526572012 / Float64(6.0 - z))))) * Float64(Float64(Float64(Float64(pi * sqrt(Float64(pi * 2.0))) * (Float64(7.5 - z) ^ Float64(0.5 - z))) * exp(Float64(z + -7.5))) / sin(Float64(pi * z)))) end
function tmp = code(z) tmp = (((0.9999999999998099 + (676.5203681218851 / (1.0 - z))) + ((-1259.1392167224028 / (2.0 - z)) + ((771.3234287776531 / (3.0 - z)) + (-176.6150291621406 / (4.0 - z))))) + (((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + ((12.507343278686905 / (5.0 - z)) + (-0.13857109526572012 / (6.0 - z))))) * ((((pi * sqrt((pi * 2.0))) * ((7.5 - z) ^ (0.5 - z))) * exp((z + -7.5))) / sin((pi * z))); end
code[z_] := N[(N[(N[(N[(0.9999999999998099 + N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(771.3234287776531 / N[(3.0 - z), $MachinePrecision]), $MachinePrecision] + N[(-176.6150291621406 / N[(4.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 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[(12.507343278686905 / N[(5.0 - z), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(6.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(Pi * N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(0.9999999999998099 + \frac{676.5203681218851}{1 - z}\right) + \left(\frac{-1259.1392167224028}{2 - z} + \left(\frac{771.3234287776531}{3 - z} + \frac{-176.6150291621406}{4 - z}\right)\right)\right) + \left(\left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \frac{1.5056327351493116 \cdot 10^{-7}}{8 - z}\right) + \left(\frac{12.507343278686905}{5 - z} + \frac{-0.13857109526572012}{6 - z}\right)\right)\right) \cdot \frac{\left(\left(\pi \cdot \sqrt{\pi \cdot 2}\right) \cdot {\left(7.5 - z\right)}^{\left(0.5 - z\right)}\right) \cdot e^{z + -7.5}}{\sin \left(\pi \cdot z\right)}
\end{array}
Initial program 97.0%
Simplified98.8%
Final simplification98.8%
(FPCore (z)
:precision binary64
(*
(+
(+
(+
(+
0.9999999999998099
(+ (/ 676.5203681218851 (- 1.0 z)) (/ -1259.1392167224028 (- 2.0 z))))
(/
(fma 771.3234287776531 (- 4.0 z) (* (- 3.0 z) -176.6150291621406))
(* (- 4.0 z) (- 3.0 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))))
(*
(*
(*
(* (sqrt PI) (sqrt 2.0))
(pow (+ (+ (- 1.0 z) -1.0) 7.5) (- (- 1.0 z) 0.5)))
(exp (+ (+ -6.0 (+ z -1.0)) -0.5)))
(/ 1.0 z))))
double code(double z) {
return ((((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z)))) + (fma(771.3234287776531, (4.0 - z), ((3.0 - z) * -176.6150291621406)) / ((4.0 - z) * (3.0 - 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)))) * ((((sqrt(((double) M_PI)) * sqrt(2.0)) * pow((((1.0 - z) + -1.0) + 7.5), ((1.0 - z) - 0.5))) * exp(((-6.0 + (z + -1.0)) + -0.5))) * (1.0 / z));
}
function code(z) return Float64(Float64(Float64(Float64(Float64(0.9999999999998099 + Float64(Float64(676.5203681218851 / Float64(1.0 - z)) + Float64(-1259.1392167224028 / Float64(2.0 - z)))) + Float64(fma(771.3234287776531, Float64(4.0 - z), Float64(Float64(3.0 - z) * -176.6150291621406)) / Float64(Float64(4.0 - z) * Float64(3.0 - z)))) + Float64(Float64(12.507343278686905 / Float64(Float64(1.0 - z) - -4.0)) + 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(Float64(Float64(sqrt(pi) * sqrt(2.0)) * (Float64(Float64(Float64(1.0 - z) + -1.0) + 7.5) ^ Float64(Float64(1.0 - z) - 0.5))) * exp(Float64(Float64(-6.0 + Float64(z + -1.0)) + -0.5))) * Float64(1.0 / z))) end
code[z_] := N[(N[(N[(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[(N[(771.3234287776531 * N[(4.0 - z), $MachinePrecision] + N[(N[(3.0 - z), $MachinePrecision] * -176.6150291621406), $MachinePrecision]), $MachinePrecision] / N[(N[(4.0 - z), $MachinePrecision] * N[(3.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(12.507343278686905 / N[(N[(1.0 - z), $MachinePrecision] - -4.0), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(N[(1.0 - z), $MachinePrecision] - -5.0), $MachinePrecision]), $MachinePrecision]), $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] * N[(N[(N[(N[(N[Sqrt[Pi], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[(N[(N[(1.0 - z), $MachinePrecision] + -1.0), $MachinePrecision] + 7.5), $MachinePrecision], N[(N[(1.0 - z), $MachinePrecision] - 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Exp[N[(N[(-6.0 + N[(z + -1.0), $MachinePrecision]), $MachinePrecision] + -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(1.0 / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\left(0.9999999999998099 + \left(\frac{676.5203681218851}{1 - z} + \frac{-1259.1392167224028}{2 - z}\right)\right) + \frac{\mathsf{fma}\left(771.3234287776531, 4 - z, \left(3 - z\right) \cdot -176.6150291621406\right)}{\left(4 - z\right) \cdot \left(3 - z\right)}\right) + \left(\frac{12.507343278686905}{\left(1 - z\right) - -4} + \frac{-0.13857109526572012}{\left(1 - z\right) - -5}\right)\right) + \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) \cdot \left(\left(\left(\left(\sqrt{\pi} \cdot \sqrt{2}\right) \cdot {\left(\left(\left(1 - z\right) + -1\right) + 7.5\right)}^{\left(\left(1 - z\right) - 0.5\right)}\right) \cdot e^{\left(-6 + \left(z + -1\right)\right) + -0.5}\right) \cdot \frac{1}{z}\right)
\end{array}
Initial program 97.0%
Simplified98.6%
expm1-log1p-u98.2%
expm1-udef98.2%
Applied egg-rr98.2%
expm1-def98.2%
expm1-log1p98.6%
Simplified98.6%
sqrt-prod97.7%
Applied egg-rr97.7%
frac-add99.0%
fma-def99.0%
associate--l-99.0%
sub-neg99.0%
metadata-eval99.0%
sub-neg99.0%
metadata-eval99.0%
associate--l-99.0%
Applied egg-rr99.0%
+-commutative99.0%
associate--r+99.0%
metadata-eval99.0%
+-commutative99.0%
associate-+r-99.0%
metadata-eval99.0%
+-commutative99.0%
associate-+r-99.0%
metadata-eval99.0%
+-commutative99.0%
associate--r+99.0%
metadata-eval99.0%
Simplified99.0%
Taylor expanded in z around 0 97.0%
Final simplification97.0%
(FPCore (z)
:precision binary64
(*
(* (/ PI (sin (* PI z))) (sqrt (* PI (* (exp -15.0) 15.0))))
(+
(+
(/ 9.984369578019572e-6 (- (- 1.0 z) -6.0))
(/ 1.5056327351493116e-7 (- (- 1.0 z) -7.0)))
(+
(+
(/ 12.507343278686905 (- (- 1.0 z) -4.0))
(/ -0.13857109526572012 (- (- 1.0 z) -5.0)))
(+
(+
0.9999999999998099
(+ (/ 676.5203681218851 (- 1.0 z)) (/ -1259.1392167224028 (- 2.0 z))))
(+
(/ 771.3234287776531 (- (- 1.0 z) -2.0))
(/ -176.6150291621406 (- (- 1.0 z) -3.0))))))))
double code(double z) {
return ((((double) M_PI) / sin((((double) M_PI) * z))) * sqrt((((double) M_PI) * (exp(-15.0) * 15.0)))) * (((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0))) + (((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0))) + ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z)))) + ((771.3234287776531 / ((1.0 - z) - -2.0)) + (-176.6150291621406 / ((1.0 - z) - -3.0))))));
}
public static double code(double z) {
return ((Math.PI / Math.sin((Math.PI * z))) * Math.sqrt((Math.PI * (Math.exp(-15.0) * 15.0)))) * (((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0))) + (((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0))) + ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z)))) + ((771.3234287776531 / ((1.0 - z) - -2.0)) + (-176.6150291621406 / ((1.0 - z) - -3.0))))));
}
def code(z): return ((math.pi / math.sin((math.pi * z))) * math.sqrt((math.pi * (math.exp(-15.0) * 15.0)))) * (((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0))) + (((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0))) + ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z)))) + ((771.3234287776531 / ((1.0 - z) - -2.0)) + (-176.6150291621406 / ((1.0 - z) - -3.0))))))
function code(z) return Float64(Float64(Float64(pi / sin(Float64(pi * z))) * sqrt(Float64(pi * Float64(exp(-15.0) * 15.0)))) * Float64(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(Float64(12.507343278686905 / Float64(Float64(1.0 - z) - -4.0)) + Float64(-0.13857109526572012 / Float64(Float64(1.0 - z) - -5.0))) + Float64(Float64(0.9999999999998099 + Float64(Float64(676.5203681218851 / Float64(1.0 - z)) + Float64(-1259.1392167224028 / Float64(2.0 - z)))) + Float64(Float64(771.3234287776531 / Float64(Float64(1.0 - z) - -2.0)) + Float64(-176.6150291621406 / Float64(Float64(1.0 - z) - -3.0))))))) end
function tmp = code(z) tmp = ((pi / sin((pi * z))) * sqrt((pi * (exp(-15.0) * 15.0)))) * (((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0))) + (((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0))) + ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z)))) + ((771.3234287776531 / ((1.0 - z) - -2.0)) + (-176.6150291621406 / ((1.0 - z) - -3.0)))))); end
code[z_] := N[(N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(Pi * N[(N[Exp[-15.0], $MachinePrecision] * 15.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(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] + N[(N[(N[(12.507343278686905 / N[(N[(1.0 - z), $MachinePrecision] - -4.0), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(N[(1.0 - z), $MachinePrecision] - -5.0), $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[(N[(771.3234287776531 / N[(N[(1.0 - z), $MachinePrecision] - -2.0), $MachinePrecision]), $MachinePrecision] + N[(-176.6150291621406 / N[(N[(1.0 - z), $MachinePrecision] - -3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \sqrt{\pi \cdot \left(e^{-15} \cdot 15\right)}\right) \cdot \left(\left(\frac{9.984369578019572 \cdot 10^{-6}}{\left(1 - z\right) - -6} + \frac{1.5056327351493116 \cdot 10^{-7}}{\left(1 - z\right) - -7}\right) + \left(\left(\frac{12.507343278686905}{\left(1 - z\right) - -4} + \frac{-0.13857109526572012}{\left(1 - z\right) - -5}\right) + \left(\left(0.9999999999998099 + \left(\frac{676.5203681218851}{1 - z} + \frac{-1259.1392167224028}{2 - z}\right)\right) + \left(\frac{771.3234287776531}{\left(1 - z\right) - -2} + \frac{-176.6150291621406}{\left(1 - z\right) - -3}\right)\right)\right)\right)
\end{array}
Initial program 97.0%
Simplified98.6%
expm1-log1p-u98.2%
expm1-udef98.2%
Applied egg-rr98.2%
expm1-def98.2%
expm1-log1p98.6%
Simplified98.6%
Taylor expanded in z around 0 95.0%
*-commutative95.0%
associate-*l*95.0%
Simplified95.0%
expm1-log1p-u95.0%
expm1-udef86.4%
associate-*r*86.4%
sqrt-unprod86.4%
metadata-eval86.4%
Applied egg-rr86.4%
expm1-def95.0%
expm1-log1p95.0%
rem-square-sqrt95.3%
fabs-sqr95.3%
rem-square-sqrt95.0%
rem-sqrt-square95.0%
swap-sqr95.3%
rem-square-sqrt94.2%
*-commutative94.2%
*-commutative94.2%
swap-sqr94.2%
prod-exp94.2%
metadata-eval94.2%
rem-square-sqrt95.3%
Simplified95.3%
Final simplification95.3%
(FPCore (z) :precision binary64 (* 263.3831869810514 (* (sqrt PI) (/ (* (exp -7.5) (* (sqrt 2.0) (sqrt 7.5))) z))))
double code(double z) {
return 263.3831869810514 * (sqrt(((double) M_PI)) * ((exp(-7.5) * (sqrt(2.0) * sqrt(7.5))) / z));
}
public static double code(double z) {
return 263.3831869810514 * (Math.sqrt(Math.PI) * ((Math.exp(-7.5) * (Math.sqrt(2.0) * Math.sqrt(7.5))) / z));
}
def code(z): return 263.3831869810514 * (math.sqrt(math.pi) * ((math.exp(-7.5) * (math.sqrt(2.0) * math.sqrt(7.5))) / z))
function code(z) return Float64(263.3831869810514 * Float64(sqrt(pi) * Float64(Float64(exp(-7.5) * Float64(sqrt(2.0) * sqrt(7.5))) / z))) end
function tmp = code(z) tmp = 263.3831869810514 * (sqrt(pi) * ((exp(-7.5) * (sqrt(2.0) * sqrt(7.5))) / z)); end
code[z_] := N[(263.3831869810514 * N[(N[Sqrt[Pi], $MachinePrecision] * N[(N[(N[Exp[-7.5], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sqrt[7.5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
263.3831869810514 \cdot \left(\sqrt{\pi} \cdot \frac{e^{-7.5} \cdot \left(\sqrt{2} \cdot \sqrt{7.5}\right)}{z}\right)
\end{array}
Initial program 97.0%
Simplified97.3%
Taylor expanded in z around 0 95.2%
Taylor expanded in z around 0 94.9%
Taylor expanded in z around 0 94.7%
Taylor expanded in z around 0 95.0%
Final simplification95.0%
(FPCore (z) :precision binary64 (* (* (/ (exp -7.5) z) (* (sqrt 2.0) (sqrt 7.5))) (* (sqrt PI) 263.3831869810514)))
double code(double z) {
return ((exp(-7.5) / z) * (sqrt(2.0) * sqrt(7.5))) * (sqrt(((double) M_PI)) * 263.3831869810514);
}
public static double code(double z) {
return ((Math.exp(-7.5) / z) * (Math.sqrt(2.0) * Math.sqrt(7.5))) * (Math.sqrt(Math.PI) * 263.3831869810514);
}
def code(z): return ((math.exp(-7.5) / z) * (math.sqrt(2.0) * math.sqrt(7.5))) * (math.sqrt(math.pi) * 263.3831869810514)
function code(z) return Float64(Float64(Float64(exp(-7.5) / z) * Float64(sqrt(2.0) * sqrt(7.5))) * Float64(sqrt(pi) * 263.3831869810514)) end
function tmp = code(z) tmp = ((exp(-7.5) / z) * (sqrt(2.0) * sqrt(7.5))) * (sqrt(pi) * 263.3831869810514); end
code[z_] := N[(N[(N[(N[Exp[-7.5], $MachinePrecision] / z), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sqrt[7.5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[Pi], $MachinePrecision] * 263.3831869810514), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{e^{-7.5}}{z} \cdot \left(\sqrt{2} \cdot \sqrt{7.5}\right)\right) \cdot \left(\sqrt{\pi} \cdot 263.3831869810514\right)
\end{array}
Initial program 97.0%
Simplified97.3%
Taylor expanded in z around 0 95.2%
Taylor expanded in z around 0 94.9%
Taylor expanded in z around 0 94.7%
Taylor expanded in z around 0 95.0%
*-commutative95.0%
associate-*l*95.1%
associate-/l*95.2%
associate-/r/95.2%
Simplified95.2%
Final simplification95.2%
(FPCore (z)
:precision binary64
(*
263.3831869810514
(*
(/ 1.0 z)
(*
(pow (+ (- 1.0 z) 6.5) (+ (- 1.0 z) -0.5))
(* (sqrt (* PI 2.0)) (exp (- (+ z -1.0) 6.5)))))))
double code(double z) {
return 263.3831869810514 * ((1.0 / z) * (pow(((1.0 - z) + 6.5), ((1.0 - z) + -0.5)) * (sqrt((((double) M_PI) * 2.0)) * exp(((z + -1.0) - 6.5)))));
}
public static double code(double z) {
return 263.3831869810514 * ((1.0 / z) * (Math.pow(((1.0 - z) + 6.5), ((1.0 - z) + -0.5)) * (Math.sqrt((Math.PI * 2.0)) * Math.exp(((z + -1.0) - 6.5)))));
}
def code(z): return 263.3831869810514 * ((1.0 / z) * (math.pow(((1.0 - z) + 6.5), ((1.0 - z) + -0.5)) * (math.sqrt((math.pi * 2.0)) * math.exp(((z + -1.0) - 6.5)))))
function code(z) return Float64(263.3831869810514 * Float64(Float64(1.0 / z) * Float64((Float64(Float64(1.0 - z) + 6.5) ^ Float64(Float64(1.0 - z) + -0.5)) * Float64(sqrt(Float64(pi * 2.0)) * exp(Float64(Float64(z + -1.0) - 6.5)))))) end
function tmp = code(z) tmp = 263.3831869810514 * ((1.0 / z) * ((((1.0 - z) + 6.5) ^ ((1.0 - z) + -0.5)) * (sqrt((pi * 2.0)) * exp(((z + -1.0) - 6.5))))); end
code[z_] := N[(263.3831869810514 * N[(N[(1.0 / z), $MachinePrecision] * N[(N[Power[N[(N[(1.0 - z), $MachinePrecision] + 6.5), $MachinePrecision], N[(N[(1.0 - z), $MachinePrecision] + -0.5), $MachinePrecision]], $MachinePrecision] * N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(N[(z + -1.0), $MachinePrecision] - 6.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
263.3831869810514 \cdot \left(\frac{1}{z} \cdot \left({\left(\left(1 - z\right) + 6.5\right)}^{\left(\left(1 - z\right) + -0.5\right)} \cdot \left(\sqrt{\pi \cdot 2} \cdot e^{\left(z + -1\right) - 6.5}\right)\right)\right)
\end{array}
Initial program 97.0%
Simplified97.3%
Taylor expanded in z around 0 95.2%
Taylor expanded in z around 0 94.9%
Taylor expanded in z around 0 94.7%
Taylor expanded in z around 0 94.6%
Final simplification94.6%
(FPCore (z) :precision binary64 (* 260.9048120626994 (* (sqrt PI) (* (/ 1.0 z) (/ (exp -7.5) (/ 1.0 (sqrt 15.0)))))))
double code(double z) {
return 260.9048120626994 * (sqrt(((double) M_PI)) * ((1.0 / z) * (exp(-7.5) / (1.0 / sqrt(15.0)))));
}
public static double code(double z) {
return 260.9048120626994 * (Math.sqrt(Math.PI) * ((1.0 / z) * (Math.exp(-7.5) / (1.0 / Math.sqrt(15.0)))));
}
def code(z): return 260.9048120626994 * (math.sqrt(math.pi) * ((1.0 / z) * (math.exp(-7.5) / (1.0 / math.sqrt(15.0)))))
function code(z) return Float64(260.9048120626994 * Float64(sqrt(pi) * Float64(Float64(1.0 / z) * Float64(exp(-7.5) / Float64(1.0 / sqrt(15.0)))))) end
function tmp = code(z) tmp = 260.9048120626994 * (sqrt(pi) * ((1.0 / z) * (exp(-7.5) / (1.0 / sqrt(15.0))))); end
code[z_] := N[(260.9048120626994 * N[(N[Sqrt[Pi], $MachinePrecision] * N[(N[(1.0 / z), $MachinePrecision] * N[(N[Exp[-7.5], $MachinePrecision] / N[(1.0 / N[Sqrt[15.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
260.9048120626994 \cdot \left(\sqrt{\pi} \cdot \left(\frac{1}{z} \cdot \frac{e^{-7.5}}{\frac{1}{\sqrt{15}}}\right)\right)
\end{array}
Initial program 97.0%
Simplified98.8%
Taylor expanded in z around 0 95.1%
Taylor expanded in z around inf 28.3%
Taylor expanded in z around 0 28.3%
*-commutative28.3%
associate-/l*28.3%
Simplified28.3%
*-un-lft-identity28.3%
div-inv28.3%
times-frac28.3%
sqrt-unprod28.3%
metadata-eval28.3%
Applied egg-rr28.3%
Final simplification28.3%
(FPCore (z) :precision binary64 (* 260.9048120626994 (* (sqrt PI) (* (/ (exp -7.5) z) (sqrt 15.0)))))
double code(double z) {
return 260.9048120626994 * (sqrt(((double) M_PI)) * ((exp(-7.5) / z) * sqrt(15.0)));
}
public static double code(double z) {
return 260.9048120626994 * (Math.sqrt(Math.PI) * ((Math.exp(-7.5) / z) * Math.sqrt(15.0)));
}
def code(z): return 260.9048120626994 * (math.sqrt(math.pi) * ((math.exp(-7.5) / z) * math.sqrt(15.0)))
function code(z) return Float64(260.9048120626994 * Float64(sqrt(pi) * Float64(Float64(exp(-7.5) / z) * sqrt(15.0)))) end
function tmp = code(z) tmp = 260.9048120626994 * (sqrt(pi) * ((exp(-7.5) / z) * sqrt(15.0))); end
code[z_] := N[(260.9048120626994 * N[(N[Sqrt[Pi], $MachinePrecision] * N[(N[(N[Exp[-7.5], $MachinePrecision] / z), $MachinePrecision] * N[Sqrt[15.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
260.9048120626994 \cdot \left(\sqrt{\pi} \cdot \left(\frac{e^{-7.5}}{z} \cdot \sqrt{15}\right)\right)
\end{array}
Initial program 97.0%
Simplified98.8%
Taylor expanded in z around 0 95.1%
Taylor expanded in z around inf 28.3%
Taylor expanded in z around 0 28.3%
*-commutative28.3%
associate-/l*28.3%
Simplified28.3%
associate-/r/28.3%
sqrt-unprod28.3%
metadata-eval28.3%
Applied egg-rr28.3%
Final simplification28.3%
(FPCore (z) :precision binary64 (* 260.9048120626994 (/ (sqrt PI) (/ (/ z (sqrt 15.0)) (exp -7.5)))))
double code(double z) {
return 260.9048120626994 * (sqrt(((double) M_PI)) / ((z / sqrt(15.0)) / exp(-7.5)));
}
public static double code(double z) {
return 260.9048120626994 * (Math.sqrt(Math.PI) / ((z / Math.sqrt(15.0)) / Math.exp(-7.5)));
}
def code(z): return 260.9048120626994 * (math.sqrt(math.pi) / ((z / math.sqrt(15.0)) / math.exp(-7.5)))
function code(z) return Float64(260.9048120626994 * Float64(sqrt(pi) / Float64(Float64(z / sqrt(15.0)) / exp(-7.5)))) end
function tmp = code(z) tmp = 260.9048120626994 * (sqrt(pi) / ((z / sqrt(15.0)) / exp(-7.5))); end
code[z_] := N[(260.9048120626994 * N[(N[Sqrt[Pi], $MachinePrecision] / N[(N[(z / N[Sqrt[15.0], $MachinePrecision]), $MachinePrecision] / N[Exp[-7.5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
260.9048120626994 \cdot \frac{\sqrt{\pi}}{\frac{\frac{z}{\sqrt{15}}}{e^{-7.5}}}
\end{array}
Initial program 97.0%
Simplified98.8%
Taylor expanded in z around 0 95.1%
Taylor expanded in z around inf 28.3%
Taylor expanded in z around 0 28.3%
*-commutative28.3%
associate-/l*28.3%
Simplified28.3%
expm1-log1p-u14.6%
expm1-udef14.6%
associate-*r/14.6%
sqrt-unprod14.6%
metadata-eval14.6%
Applied egg-rr14.6%
expm1-def14.6%
expm1-log1p28.3%
associate-/l*28.3%
Simplified28.3%
Final simplification28.3%
(FPCore (z) :precision binary64 (* 260.9048120626994 (/ (sqrt (* PI (* (exp -15.0) 15.0))) z)))
double code(double z) {
return 260.9048120626994 * (sqrt((((double) M_PI) * (exp(-15.0) * 15.0))) / z);
}
public static double code(double z) {
return 260.9048120626994 * (Math.sqrt((Math.PI * (Math.exp(-15.0) * 15.0))) / z);
}
def code(z): return 260.9048120626994 * (math.sqrt((math.pi * (math.exp(-15.0) * 15.0))) / z)
function code(z) return Float64(260.9048120626994 * Float64(sqrt(Float64(pi * Float64(exp(-15.0) * 15.0))) / z)) end
function tmp = code(z) tmp = 260.9048120626994 * (sqrt((pi * (exp(-15.0) * 15.0))) / z); end
code[z_] := N[(260.9048120626994 * N[(N[Sqrt[N[(Pi * N[(N[Exp[-15.0], $MachinePrecision] * 15.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / z), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
260.9048120626994 \cdot \frac{\sqrt{\pi \cdot \left(e^{-15} \cdot 15\right)}}{z}
\end{array}
Initial program 97.0%
Simplified98.8%
Taylor expanded in z around 0 95.1%
Taylor expanded in z around inf 28.3%
Taylor expanded in z around 0 28.3%
*-commutative28.3%
associate-/l*28.3%
Simplified28.3%
expm1-log1p-u14.6%
expm1-udef14.6%
associate-*r/14.6%
sqrt-unprod14.6%
metadata-eval14.6%
Applied egg-rr14.6%
expm1-def14.6%
expm1-log1p28.3%
associate-/r/28.3%
associate-*l/28.3%
Simplified28.3%
Final simplification28.3%
herbie shell --seed 2023313
(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))))))