
(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 2.0))
(exp
(+
(fma -1.0 (+ (- 1.0 z) 6.0) -0.5)
(* (+ (- 1.0 z) -0.5) (log (fma -1.0 z 7.5)))))))
(+
(+
(+
(+
(+ 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))))
(-
(/ 12.507343278686905 (- (- 1.0 z) -4.0))
(/ -0.13857109526572012 (+ -5.0 (+ z -1.0)))))
(+
(/ 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) * 2.0)) * exp((fma(-1.0, ((1.0 - z) + 6.0), -0.5) + (((1.0 - z) + -0.5) * log(fma(-1.0, z, 7.5))))))) * (((((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)))) + ((12.507343278686905 / ((1.0 - z) - -4.0)) - (-0.13857109526572012 / (-5.0 + (z + -1.0))))) + ((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(sqrt(Float64(pi * 2.0)) * exp(Float64(fma(-1.0, Float64(Float64(1.0 - z) + 6.0), -0.5) + Float64(Float64(Float64(1.0 - z) + -0.5) * log(fma(-1.0, z, 7.5))))))) * Float64(Float64(Float64(Float64(Float64(0.9999999999998099 + 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)))) + Float64(Float64(12.507343278686905 / Float64(Float64(1.0 - z) - -4.0)) - Float64(-0.13857109526572012 / Float64(-5.0 + Float64(z + -1.0))))) + 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[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(N[(-1.0 * N[(N[(1.0 - z), $MachinePrecision] + 6.0), $MachinePrecision] + -0.5), $MachinePrecision] + N[(N[(N[(1.0 - z), $MachinePrecision] + -0.5), $MachinePrecision] * N[Log[N[(-1.0 * z + 7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(N[(0.9999999999998099 + N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-1259.1392167224028 / N[(N[(1.0 - z), $MachinePrecision] - -1.0), $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] + N[(N[(12.507343278686905 / N[(N[(1.0 - z), $MachinePrecision] - -4.0), $MachinePrecision]), $MachinePrecision] - N[(-0.13857109526572012 / N[(-5.0 + N[(z + -1.0), $MachinePrecision]), $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(\sqrt{\pi \cdot 2} \cdot e^{\mathsf{fma}\left(-1, \left(1 - z\right) + 6, -0.5\right) + \left(\left(1 - z\right) + -0.5\right) \cdot \log \left(\mathsf{fma}\left(-1, z, 7.5\right)\right)}\right)\right) \cdot \left(\left(\left(\left(\left(0.9999999999998099 + \frac{676.5203681218851}{1 - z}\right) + \frac{-1259.1392167224028}{\left(1 - z\right) - -1}\right) + \left(\frac{771.3234287776531}{\left(1 - z\right) - -2} + \frac{-176.6150291621406}{\left(1 - z\right) - -3}\right)\right) + \left(\frac{12.507343278686905}{\left(1 - z\right) - -4} - \frac{-0.13857109526572012}{-5 + \left(z + -1\right)}\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 95.8%
Simplified97.4%
Taylor expanded in z around 0 97.4%
neg-mul-197.4%
Simplified97.4%
add-exp-log96.7%
*-commutative96.7%
log-prod96.7%
add-log-exp98.3%
neg-mul-198.3%
fma-define98.3%
sub-neg98.3%
metadata-eval98.3%
log-pow98.3%
sub-neg98.3%
metadata-eval98.3%
neg-mul-198.3%
fma-define98.3%
Applied egg-rr98.3%
Final simplification98.3%
(FPCore (z)
:precision binary64
(*
(*
(/ PI (sin (* PI z)))
(*
(sqrt (* PI 2.0))
(exp (- (+ (- z 7.0) (* (log (- 7.5 z)) (- 0.5 z))) 0.5))))
(-
(+
(/ 9.984369578019572e-6 (- (- 1.0 z) -6.0))
(/ 1.5056327351493116e-7 (- (- 1.0 z) -7.0)))
(+
(+
(/ 12.507343278686905 (+ -4.0 (+ z -1.0)))
(/ -0.13857109526572012 (+ -5.0 (+ z -1.0))))
(+
(-
(- (/ 676.5203681218851 (+ z -1.0)) 0.9999999999998099)
(/ -1259.1392167224028 (- (- 1.0 z) -1.0)))
(+ (/ -176.6150291621406 (- z 4.0)) (/ 771.3234287776531 (- z 3.0))))))))
double code(double z) {
return ((((double) M_PI) / sin((((double) M_PI) * z))) * (sqrt((((double) M_PI) * 2.0)) * exp((((z - 7.0) + (log((7.5 - z)) * (0.5 - z))) - 0.5)))) * (((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0))) - (((12.507343278686905 / (-4.0 + (z + -1.0))) + (-0.13857109526572012 / (-5.0 + (z + -1.0)))) + ((((676.5203681218851 / (z + -1.0)) - 0.9999999999998099) - (-1259.1392167224028 / ((1.0 - z) - -1.0))) + ((-176.6150291621406 / (z - 4.0)) + (771.3234287776531 / (z - 3.0))))));
}
public static double code(double z) {
return ((Math.PI / Math.sin((Math.PI * z))) * (Math.sqrt((Math.PI * 2.0)) * Math.exp((((z - 7.0) + (Math.log((7.5 - z)) * (0.5 - z))) - 0.5)))) * (((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0))) - (((12.507343278686905 / (-4.0 + (z + -1.0))) + (-0.13857109526572012 / (-5.0 + (z + -1.0)))) + ((((676.5203681218851 / (z + -1.0)) - 0.9999999999998099) - (-1259.1392167224028 / ((1.0 - z) - -1.0))) + ((-176.6150291621406 / (z - 4.0)) + (771.3234287776531 / (z - 3.0))))));
}
def code(z): return ((math.pi / math.sin((math.pi * z))) * (math.sqrt((math.pi * 2.0)) * math.exp((((z - 7.0) + (math.log((7.5 - z)) * (0.5 - z))) - 0.5)))) * (((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0))) - (((12.507343278686905 / (-4.0 + (z + -1.0))) + (-0.13857109526572012 / (-5.0 + (z + -1.0)))) + ((((676.5203681218851 / (z + -1.0)) - 0.9999999999998099) - (-1259.1392167224028 / ((1.0 - z) - -1.0))) + ((-176.6150291621406 / (z - 4.0)) + (771.3234287776531 / (z - 3.0))))))
function code(z) return Float64(Float64(Float64(pi / sin(Float64(pi * z))) * Float64(sqrt(Float64(pi * 2.0)) * exp(Float64(Float64(Float64(z - 7.0) + Float64(log(Float64(7.5 - z)) * Float64(0.5 - z))) - 0.5)))) * 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(-4.0 + Float64(z + -1.0))) + Float64(-0.13857109526572012 / Float64(-5.0 + Float64(z + -1.0)))) + Float64(Float64(Float64(Float64(676.5203681218851 / Float64(z + -1.0)) - 0.9999999999998099) - Float64(-1259.1392167224028 / Float64(Float64(1.0 - z) - -1.0))) + Float64(Float64(-176.6150291621406 / Float64(z - 4.0)) + Float64(771.3234287776531 / Float64(z - 3.0))))))) end
function tmp = code(z) tmp = ((pi / sin((pi * z))) * (sqrt((pi * 2.0)) * exp((((z - 7.0) + (log((7.5 - z)) * (0.5 - z))) - 0.5)))) * (((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0))) - (((12.507343278686905 / (-4.0 + (z + -1.0))) + (-0.13857109526572012 / (-5.0 + (z + -1.0)))) + ((((676.5203681218851 / (z + -1.0)) - 0.9999999999998099) - (-1259.1392167224028 / ((1.0 - z) - -1.0))) + ((-176.6150291621406 / (z - 4.0)) + (771.3234287776531 / (z - 3.0)))))); end
code[z_] := N[(N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(N[(N[(z - 7.0), $MachinePrecision] + N[(N[Log[N[(7.5 - z), $MachinePrecision]], $MachinePrecision] * N[(0.5 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.5), $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[(-4.0 + N[(z + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(-5.0 + N[(z + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(N[(676.5203681218851 / N[(z + -1.0), $MachinePrecision]), $MachinePrecision] - 0.9999999999998099), $MachinePrecision] - N[(-1259.1392167224028 / N[(N[(1.0 - z), $MachinePrecision] - -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(-176.6150291621406 / N[(z - 4.0), $MachinePrecision]), $MachinePrecision] + N[(771.3234287776531 / N[(z - 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\sqrt{\pi \cdot 2} \cdot e^{\left(\left(z - 7\right) + \log \left(7.5 - z\right) \cdot \left(0.5 - z\right)\right) - 0.5}\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}{-4 + \left(z + -1\right)} + \frac{-0.13857109526572012}{-5 + \left(z + -1\right)}\right) + \left(\left(\left(\frac{676.5203681218851}{z + -1} - 0.9999999999998099\right) - \frac{-1259.1392167224028}{\left(1 - z\right) - -1}\right) + \left(\frac{-176.6150291621406}{z - 4} + \frac{771.3234287776531}{z - 3}\right)\right)\right)\right)
\end{array}
Initial program 95.8%
Simplified97.4%
Taylor expanded in z around 0 97.4%
neg-mul-197.4%
Simplified97.4%
add-exp-log96.7%
*-commutative96.7%
log-prod96.7%
add-log-exp98.3%
neg-mul-198.3%
fma-define98.3%
sub-neg98.3%
metadata-eval98.3%
log-pow98.3%
sub-neg98.3%
metadata-eval98.3%
neg-mul-198.3%
fma-define98.3%
Applied egg-rr98.3%
Taylor expanded in z around inf 98.2%
*-un-lft-identity98.2%
sub-neg98.2%
metadata-eval98.2%
sub-neg98.2%
metadata-eval98.2%
Applied egg-rr98.2%
*-lft-identity98.2%
+-commutative98.2%
associate-+r-98.3%
metadata-eval98.3%
+-commutative98.3%
associate-+r-98.2%
metadata-eval98.2%
Simplified98.2%
Final simplification98.2%
(FPCore (z)
:precision binary64
(*
(*
(sqrt (* PI 2.0))
(* (pow (+ (- 1.0 z) 6.5) (+ (- 1.0 z) -0.5)) (exp (- (+ z -1.0) 6.5))))
(*
(/ PI (sin (* PI z)))
(+
(-
(/ -176.6150291621406 (+ (- 1.0 z) 3.0))
(-
(+
(+ (/ 676.5203681218851 (+ z -1.0)) (/ -1259.1392167224028 (- z 2.0)))
(/ 771.3234287776531 (- (+ z -1.0) 2.0)))
0.9999999999998099))
(-
(/ 1.5056327351493116e-7 (- 8.0 z))
(+
(/ 9.984369578019572e-6 (- z 7.0))
(+
(/ -0.13857109526572012 (- z 6.0))
(/ 12.507343278686905 (- z 5.0)))))))))
double code(double z) {
return (sqrt((((double) M_PI) * 2.0)) * (pow(((1.0 - z) + 6.5), ((1.0 - z) + -0.5)) * exp(((z + -1.0) - 6.5)))) * ((((double) M_PI) / sin((((double) M_PI) * z))) * (((-176.6150291621406 / ((1.0 - z) + 3.0)) - ((((676.5203681218851 / (z + -1.0)) + (-1259.1392167224028 / (z - 2.0))) + (771.3234287776531 / ((z + -1.0) - 2.0))) - 0.9999999999998099)) + ((1.5056327351493116e-7 / (8.0 - z)) - ((9.984369578019572e-6 / (z - 7.0)) + ((-0.13857109526572012 / (z - 6.0)) + (12.507343278686905 / (z - 5.0)))))));
}
public static double code(double z) {
return (Math.sqrt((Math.PI * 2.0)) * (Math.pow(((1.0 - z) + 6.5), ((1.0 - z) + -0.5)) * Math.exp(((z + -1.0) - 6.5)))) * ((Math.PI / Math.sin((Math.PI * z))) * (((-176.6150291621406 / ((1.0 - z) + 3.0)) - ((((676.5203681218851 / (z + -1.0)) + (-1259.1392167224028 / (z - 2.0))) + (771.3234287776531 / ((z + -1.0) - 2.0))) - 0.9999999999998099)) + ((1.5056327351493116e-7 / (8.0 - z)) - ((9.984369578019572e-6 / (z - 7.0)) + ((-0.13857109526572012 / (z - 6.0)) + (12.507343278686905 / (z - 5.0)))))));
}
def code(z): return (math.sqrt((math.pi * 2.0)) * (math.pow(((1.0 - z) + 6.5), ((1.0 - z) + -0.5)) * math.exp(((z + -1.0) - 6.5)))) * ((math.pi / math.sin((math.pi * z))) * (((-176.6150291621406 / ((1.0 - z) + 3.0)) - ((((676.5203681218851 / (z + -1.0)) + (-1259.1392167224028 / (z - 2.0))) + (771.3234287776531 / ((z + -1.0) - 2.0))) - 0.9999999999998099)) + ((1.5056327351493116e-7 / (8.0 - z)) - ((9.984369578019572e-6 / (z - 7.0)) + ((-0.13857109526572012 / (z - 6.0)) + (12.507343278686905 / (z - 5.0)))))))
function code(z) return Float64(Float64(sqrt(Float64(pi * 2.0)) * Float64((Float64(Float64(1.0 - z) + 6.5) ^ Float64(Float64(1.0 - z) + -0.5)) * exp(Float64(Float64(z + -1.0) - 6.5)))) * Float64(Float64(pi / sin(Float64(pi * z))) * Float64(Float64(Float64(-176.6150291621406 / Float64(Float64(1.0 - z) + 3.0)) - Float64(Float64(Float64(Float64(676.5203681218851 / Float64(z + -1.0)) + Float64(-1259.1392167224028 / Float64(z - 2.0))) + Float64(771.3234287776531 / Float64(Float64(z + -1.0) - 2.0))) - 0.9999999999998099)) + Float64(Float64(1.5056327351493116e-7 / Float64(8.0 - z)) - Float64(Float64(9.984369578019572e-6 / Float64(z - 7.0)) + Float64(Float64(-0.13857109526572012 / Float64(z - 6.0)) + Float64(12.507343278686905 / Float64(z - 5.0)))))))) end
function tmp = code(z) tmp = (sqrt((pi * 2.0)) * ((((1.0 - z) + 6.5) ^ ((1.0 - z) + -0.5)) * exp(((z + -1.0) - 6.5)))) * ((pi / sin((pi * z))) * (((-176.6150291621406 / ((1.0 - z) + 3.0)) - ((((676.5203681218851 / (z + -1.0)) + (-1259.1392167224028 / (z - 2.0))) + (771.3234287776531 / ((z + -1.0) - 2.0))) - 0.9999999999998099)) + ((1.5056327351493116e-7 / (8.0 - z)) - ((9.984369578019572e-6 / (z - 7.0)) + ((-0.13857109526572012 / (z - 6.0)) + (12.507343278686905 / (z - 5.0))))))); end
code[z_] := N[(N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[Power[N[(N[(1.0 - z), $MachinePrecision] + 6.5), $MachinePrecision], N[(N[(1.0 - z), $MachinePrecision] + -0.5), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(N[(z + -1.0), $MachinePrecision] - 6.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(-176.6150291621406 / N[(N[(1.0 - z), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision] - N[(N[(N[(N[(676.5203681218851 / N[(z + -1.0), $MachinePrecision]), $MachinePrecision] + N[(-1259.1392167224028 / N[(z - 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(771.3234287776531 / N[(N[(z + -1.0), $MachinePrecision] - 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.9999999999998099), $MachinePrecision]), $MachinePrecision] + N[(N[(1.5056327351493116e-7 / N[(8.0 - z), $MachinePrecision]), $MachinePrecision] - N[(N[(9.984369578019572e-6 / N[(z - 7.0), $MachinePrecision]), $MachinePrecision] + N[(N[(-0.13857109526572012 / N[(z - 6.0), $MachinePrecision]), $MachinePrecision] + N[(12.507343278686905 / N[(z - 5.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\sqrt{\pi \cdot 2} \cdot \left({\left(\left(1 - z\right) + 6.5\right)}^{\left(\left(1 - z\right) + -0.5\right)} \cdot e^{\left(z + -1\right) - 6.5}\right)\right) \cdot \left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\frac{-176.6150291621406}{\left(1 - z\right) + 3} - \left(\left(\left(\frac{676.5203681218851}{z + -1} + \frac{-1259.1392167224028}{z - 2}\right) + \frac{771.3234287776531}{\left(z + -1\right) - 2}\right) - 0.9999999999998099\right)\right) + \left(\frac{1.5056327351493116 \cdot 10^{-7}}{8 - z} - \left(\frac{9.984369578019572 \cdot 10^{-6}}{z - 7} + \left(\frac{-0.13857109526572012}{z - 6} + \frac{12.507343278686905}{z - 5}\right)\right)\right)\right)\right)
\end{array}
Initial program 95.8%
Simplified95.0%
*-un-lft-identity95.0%
associate-+r+96.2%
Applied egg-rr96.4%
*-lft-identity96.4%
+-commutative96.4%
associate-+r-96.4%
metadata-eval96.4%
associate-+l+96.4%
metadata-eval96.4%
associate-+r-96.4%
Simplified96.4%
*-un-lft-identity96.4%
associate-+l+96.4%
associate-+l-96.4%
Applied egg-rr96.4%
*-lft-identity96.4%
associate-+r+96.4%
+-commutative96.4%
+-commutative96.4%
associate-+l+96.4%
+-commutative96.4%
associate-+r-96.4%
metadata-eval96.4%
+-commutative96.4%
+-commutative96.4%
associate-+r-96.4%
metadata-eval96.4%
associate--r-96.4%
+-commutative96.4%
metadata-eval96.4%
associate-+r+96.4%
Simplified96.4%
Final simplification96.4%
(FPCore (z)
:precision binary64
(*
(*
(/ PI (sin (* PI z)))
(*
(sqrt (* PI 2.0))
(exp (- (+ (- z 7.0) (* (log (- 7.5 z)) (- 0.5 z))) 0.5))))
(+
(+
(/ 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 (+ -5.0 (+ z -1.0))))
(-
(+ 212.9540523020159 (* z 74.66416387488323))
(-
(- (/ 676.5203681218851 (+ z -1.0)) 0.9999999999998099)
(/ -1259.1392167224028 (- (- 1.0 z) -1.0))))))))
double code(double z) {
return ((((double) M_PI) / sin((((double) M_PI) * z))) * (sqrt((((double) M_PI) * 2.0)) * exp((((z - 7.0) + (log((7.5 - z)) * (0.5 - z))) - 0.5)))) * (((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 / (-5.0 + (z + -1.0)))) + ((212.9540523020159 + (z * 74.66416387488323)) - (((676.5203681218851 / (z + -1.0)) - 0.9999999999998099) - (-1259.1392167224028 / ((1.0 - z) - -1.0))))));
}
public static double code(double z) {
return ((Math.PI / Math.sin((Math.PI * z))) * (Math.sqrt((Math.PI * 2.0)) * Math.exp((((z - 7.0) + (Math.log((7.5 - z)) * (0.5 - z))) - 0.5)))) * (((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 / (-5.0 + (z + -1.0)))) + ((212.9540523020159 + (z * 74.66416387488323)) - (((676.5203681218851 / (z + -1.0)) - 0.9999999999998099) - (-1259.1392167224028 / ((1.0 - z) - -1.0))))));
}
def code(z): return ((math.pi / math.sin((math.pi * z))) * (math.sqrt((math.pi * 2.0)) * math.exp((((z - 7.0) + (math.log((7.5 - z)) * (0.5 - z))) - 0.5)))) * (((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 / (-5.0 + (z + -1.0)))) + ((212.9540523020159 + (z * 74.66416387488323)) - (((676.5203681218851 / (z + -1.0)) - 0.9999999999998099) - (-1259.1392167224028 / ((1.0 - z) - -1.0))))))
function code(z) return Float64(Float64(Float64(pi / sin(Float64(pi * z))) * Float64(sqrt(Float64(pi * 2.0)) * exp(Float64(Float64(Float64(z - 7.0) + Float64(log(Float64(7.5 - z)) * Float64(0.5 - z))) - 0.5)))) * 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(-5.0 + Float64(z + -1.0)))) + Float64(Float64(212.9540523020159 + Float64(z * 74.66416387488323)) - Float64(Float64(Float64(676.5203681218851 / Float64(z + -1.0)) - 0.9999999999998099) - Float64(-1259.1392167224028 / Float64(Float64(1.0 - z) - -1.0))))))) end
function tmp = code(z) tmp = ((pi / sin((pi * z))) * (sqrt((pi * 2.0)) * exp((((z - 7.0) + (log((7.5 - z)) * (0.5 - z))) - 0.5)))) * (((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 / (-5.0 + (z + -1.0)))) + ((212.9540523020159 + (z * 74.66416387488323)) - (((676.5203681218851 / (z + -1.0)) - 0.9999999999998099) - (-1259.1392167224028 / ((1.0 - z) - -1.0)))))); end
code[z_] := N[(N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(N[(N[(z - 7.0), $MachinePrecision] + N[(N[Log[N[(7.5 - z), $MachinePrecision]], $MachinePrecision] * N[(0.5 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.5), $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[(-5.0 + N[(z + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(212.9540523020159 + N[(z * 74.66416387488323), $MachinePrecision]), $MachinePrecision] - N[(N[(N[(676.5203681218851 / N[(z + -1.0), $MachinePrecision]), $MachinePrecision] - 0.9999999999998099), $MachinePrecision] - N[(-1259.1392167224028 / N[(N[(1.0 - z), $MachinePrecision] - -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\sqrt{\pi \cdot 2} \cdot e^{\left(\left(z - 7\right) + \log \left(7.5 - z\right) \cdot \left(0.5 - z\right)\right) - 0.5}\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}{-5 + \left(z + -1\right)}\right) + \left(\left(212.9540523020159 + z \cdot 74.66416387488323\right) - \left(\left(\frac{676.5203681218851}{z + -1} - 0.9999999999998099\right) - \frac{-1259.1392167224028}{\left(1 - z\right) - -1}\right)\right)\right)\right)
\end{array}
Initial program 95.8%
Simplified97.4%
Taylor expanded in z around 0 97.4%
neg-mul-197.4%
Simplified97.4%
add-exp-log96.7%
*-commutative96.7%
log-prod96.7%
add-log-exp98.3%
neg-mul-198.3%
fma-define98.3%
sub-neg98.3%
metadata-eval98.3%
log-pow98.3%
sub-neg98.3%
metadata-eval98.3%
neg-mul-198.3%
fma-define98.3%
Applied egg-rr98.3%
Taylor expanded in z around inf 98.2%
Taylor expanded in z around 0 96.7%
*-commutative96.7%
Simplified96.7%
Final simplification96.7%
(FPCore (z)
:precision binary64
(let* ((t_0 (pow (- 7.5 z) (- 0.5 z))))
(if (<= z 2.5e-17)
(*
(sqrt PI)
(* (* t_0 263.3831869810514) (/ (* (exp -7.5) (sqrt 2.0)) z)))
(*
(* (sqrt (* PI 2.0)) (* t_0 (exp (+ z -7.5))))
(*
(/ PI (sin (* PI z)))
(+
(+
(/ -0.13857109526572012 (- 6.0 z))
(+ (/ -176.6150291621406 (- 4.0 z)) (/ 12.507343278686905 (- 5.0 z))))
(+
(+
(/ 1.5056327351493116e-7 (- 8.0 z))
(/ 9.984369578019572e-6 (- 7.0 z)))
(+
(+ (/ 676.5203681218851 (- 1.0 z)) (/ -1259.1392167224028 (- 2.0 z)))
(+ 0.9999999999998099 (/ 771.3234287776531 (- 3.0 z)))))))))))
double code(double z) {
double t_0 = pow((7.5 - z), (0.5 - z));
double tmp;
if (z <= 2.5e-17) {
tmp = sqrt(((double) M_PI)) * ((t_0 * 263.3831869810514) * ((exp(-7.5) * sqrt(2.0)) / z));
} else {
tmp = (sqrt((((double) M_PI) * 2.0)) * (t_0 * exp((z + -7.5)))) * ((((double) M_PI) / sin((((double) M_PI) * z))) * (((-0.13857109526572012 / (6.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z)))) + (((1.5056327351493116e-7 / (8.0 - z)) + (9.984369578019572e-6 / (7.0 - z))) + (((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z))) + (0.9999999999998099 + (771.3234287776531 / (3.0 - z)))))));
}
return tmp;
}
public static double code(double z) {
double t_0 = Math.pow((7.5 - z), (0.5 - z));
double tmp;
if (z <= 2.5e-17) {
tmp = Math.sqrt(Math.PI) * ((t_0 * 263.3831869810514) * ((Math.exp(-7.5) * Math.sqrt(2.0)) / z));
} else {
tmp = (Math.sqrt((Math.PI * 2.0)) * (t_0 * Math.exp((z + -7.5)))) * ((Math.PI / Math.sin((Math.PI * z))) * (((-0.13857109526572012 / (6.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z)))) + (((1.5056327351493116e-7 / (8.0 - z)) + (9.984369578019572e-6 / (7.0 - z))) + (((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z))) + (0.9999999999998099 + (771.3234287776531 / (3.0 - z)))))));
}
return tmp;
}
def code(z): t_0 = math.pow((7.5 - z), (0.5 - z)) tmp = 0 if z <= 2.5e-17: tmp = math.sqrt(math.pi) * ((t_0 * 263.3831869810514) * ((math.exp(-7.5) * math.sqrt(2.0)) / z)) else: tmp = (math.sqrt((math.pi * 2.0)) * (t_0 * math.exp((z + -7.5)))) * ((math.pi / math.sin((math.pi * z))) * (((-0.13857109526572012 / (6.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z)))) + (((1.5056327351493116e-7 / (8.0 - z)) + (9.984369578019572e-6 / (7.0 - z))) + (((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z))) + (0.9999999999998099 + (771.3234287776531 / (3.0 - z))))))) return tmp
function code(z) t_0 = Float64(7.5 - z) ^ Float64(0.5 - z) tmp = 0.0 if (z <= 2.5e-17) tmp = Float64(sqrt(pi) * Float64(Float64(t_0 * 263.3831869810514) * Float64(Float64(exp(-7.5) * sqrt(2.0)) / z))); else tmp = Float64(Float64(sqrt(Float64(pi * 2.0)) * Float64(t_0 * exp(Float64(z + -7.5)))) * Float64(Float64(pi / sin(Float64(pi * z))) * Float64(Float64(Float64(-0.13857109526572012 / Float64(6.0 - z)) + Float64(Float64(-176.6150291621406 / Float64(4.0 - z)) + Float64(12.507343278686905 / Float64(5.0 - z)))) + Float64(Float64(Float64(1.5056327351493116e-7 / Float64(8.0 - z)) + Float64(9.984369578019572e-6 / Float64(7.0 - z))) + Float64(Float64(Float64(676.5203681218851 / Float64(1.0 - z)) + Float64(-1259.1392167224028 / Float64(2.0 - z))) + Float64(0.9999999999998099 + Float64(771.3234287776531 / Float64(3.0 - z)))))))); end return tmp end
function tmp_2 = code(z) t_0 = (7.5 - z) ^ (0.5 - z); tmp = 0.0; if (z <= 2.5e-17) tmp = sqrt(pi) * ((t_0 * 263.3831869810514) * ((exp(-7.5) * sqrt(2.0)) / z)); else tmp = (sqrt((pi * 2.0)) * (t_0 * exp((z + -7.5)))) * ((pi / sin((pi * z))) * (((-0.13857109526572012 / (6.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z)))) + (((1.5056327351493116e-7 / (8.0 - z)) + (9.984369578019572e-6 / (7.0 - z))) + (((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z))) + (0.9999999999998099 + (771.3234287776531 / (3.0 - z))))))); end tmp_2 = tmp; end
code[z_] := Block[{t$95$0 = N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[z, 2.5e-17], N[(N[Sqrt[Pi], $MachinePrecision] * N[(N[(t$95$0 * 263.3831869810514), $MachinePrecision] * N[(N[(N[Exp[-7.5], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(t$95$0 * N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(-0.13857109526572012 / N[(6.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(-176.6150291621406 / N[(4.0 - z), $MachinePrecision]), $MachinePrecision] + N[(12.507343278686905 / N[(5.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(1.5056327351493116e-7 / N[(8.0 - z), $MachinePrecision]), $MachinePrecision] + N[(9.984369578019572e-6 / N[(7.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.9999999999998099 + N[(771.3234287776531 / N[(3.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\left(7.5 - z\right)}^{\left(0.5 - z\right)}\\
\mathbf{if}\;z \leq 2.5 \cdot 10^{-17}:\\
\;\;\;\;\sqrt{\pi} \cdot \left(\left(t\_0 \cdot 263.3831869810514\right) \cdot \frac{e^{-7.5} \cdot \sqrt{2}}{z}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\sqrt{\pi \cdot 2} \cdot \left(t\_0 \cdot e^{z + -7.5}\right)\right) \cdot \left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\frac{-0.13857109526572012}{6 - z} + \left(\frac{-176.6150291621406}{4 - z} + \frac{12.507343278686905}{5 - z}\right)\right) + \left(\left(\frac{1.5056327351493116 \cdot 10^{-7}}{8 - z} + \frac{9.984369578019572 \cdot 10^{-6}}{7 - z}\right) + \left(\left(\frac{676.5203681218851}{1 - z} + \frac{-1259.1392167224028}{2 - z}\right) + \left(0.9999999999998099 + \frac{771.3234287776531}{3 - z}\right)\right)\right)\right)\right)\\
\end{array}
\end{array}
if z < 2.4999999999999999e-17Initial program 95.8%
Simplified95.1%
Taylor expanded in z around 0 95.4%
Taylor expanded in z around 0 95.5%
Taylor expanded in z around inf 96.7%
associate-*r*96.6%
*-commutative96.6%
associate-/l*96.9%
associate-*r*96.4%
exp-to-pow96.4%
sub-neg96.4%
metadata-eval96.4%
associate-/l*96.7%
Simplified96.7%
Taylor expanded in z around 0 97.6%
if 2.4999999999999999e-17 < z Initial program 97.0%
Simplified97.4%
Taylor expanded in z around inf 97.4%
exp-to-pow97.5%
sub-neg97.5%
metadata-eval97.5%
+-commutative97.5%
Simplified97.4%
Final simplification97.6%
(FPCore (z)
:precision binary64
(*
(*
(/ PI (sin (* PI z)))
(+
(/ 1.5056327351493116e-7 (- 8.0 z))
(+
(/ 9.984369578019572e-6 (- 7.0 z))
(-
(+
(/ -0.13857109526572012 (- 6.0 z))
(+ (/ -176.6150291621406 (- 4.0 z)) (/ 12.507343278686905 (- 5.0 z))))
(+
(/ 676.5203681218851 (+ z -1.0))
(+
(- (/ 771.3234287776531 (- z 3.0)) 0.9999999999998099)
(/ -1259.1392167224028 (- z 2.0))))))))
(* (sqrt (* PI 2.0)) (* (pow (- 7.5 z) (- 0.5 z)) (exp (+ z -7.5))))))
double code(double z) {
return ((((double) M_PI) / sin((((double) M_PI) * z))) * ((1.5056327351493116e-7 / (8.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (((-0.13857109526572012 / (6.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z)))) - ((676.5203681218851 / (z + -1.0)) + (((771.3234287776531 / (z - 3.0)) - 0.9999999999998099) + (-1259.1392167224028 / (z - 2.0)))))))) * (sqrt((((double) M_PI) * 2.0)) * (pow((7.5 - z), (0.5 - z)) * exp((z + -7.5))));
}
public static double code(double z) {
return ((Math.PI / Math.sin((Math.PI * z))) * ((1.5056327351493116e-7 / (8.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (((-0.13857109526572012 / (6.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z)))) - ((676.5203681218851 / (z + -1.0)) + (((771.3234287776531 / (z - 3.0)) - 0.9999999999998099) + (-1259.1392167224028 / (z - 2.0)))))))) * (Math.sqrt((Math.PI * 2.0)) * (Math.pow((7.5 - z), (0.5 - z)) * Math.exp((z + -7.5))));
}
def code(z): return ((math.pi / math.sin((math.pi * z))) * ((1.5056327351493116e-7 / (8.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (((-0.13857109526572012 / (6.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z)))) - ((676.5203681218851 / (z + -1.0)) + (((771.3234287776531 / (z - 3.0)) - 0.9999999999998099) + (-1259.1392167224028 / (z - 2.0)))))))) * (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(pi / sin(Float64(pi * z))) * Float64(Float64(1.5056327351493116e-7 / Float64(8.0 - z)) + Float64(Float64(9.984369578019572e-6 / Float64(7.0 - z)) + Float64(Float64(Float64(-0.13857109526572012 / Float64(6.0 - z)) + Float64(Float64(-176.6150291621406 / Float64(4.0 - z)) + Float64(12.507343278686905 / Float64(5.0 - z)))) - Float64(Float64(676.5203681218851 / Float64(z + -1.0)) + Float64(Float64(Float64(771.3234287776531 / Float64(z - 3.0)) - 0.9999999999998099) + Float64(-1259.1392167224028 / Float64(z - 2.0)))))))) * 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 = ((pi / sin((pi * z))) * ((1.5056327351493116e-7 / (8.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (((-0.13857109526572012 / (6.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z)))) - ((676.5203681218851 / (z + -1.0)) + (((771.3234287776531 / (z - 3.0)) - 0.9999999999998099) + (-1259.1392167224028 / (z - 2.0)))))))) * (sqrt((pi * 2.0)) * (((7.5 - z) ^ (0.5 - z)) * exp((z + -7.5)))); end
code[z_] := N[(N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(1.5056327351493116e-7 / N[(8.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(9.984369578019572e-6 / N[(7.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(-0.13857109526572012 / N[(6.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(-176.6150291621406 / N[(4.0 - z), $MachinePrecision]), $MachinePrecision] + N[(12.507343278686905 / N[(5.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(676.5203681218851 / N[(z + -1.0), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(771.3234287776531 / N[(z - 3.0), $MachinePrecision]), $MachinePrecision] - 0.9999999999998099), $MachinePrecision] + N[(-1259.1392167224028 / N[(z - 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $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]
\begin{array}{l}
\\
\left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\frac{1.5056327351493116 \cdot 10^{-7}}{8 - z} + \left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \left(\left(\frac{-0.13857109526572012}{6 - z} + \left(\frac{-176.6150291621406}{4 - z} + \frac{12.507343278686905}{5 - z}\right)\right) - \left(\frac{676.5203681218851}{z + -1} + \left(\left(\frac{771.3234287776531}{z - 3} - 0.9999999999998099\right) + \frac{-1259.1392167224028}{z - 2}\right)\right)\right)\right)\right)\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)
\end{array}
Initial program 95.8%
Simplified95.2%
*-un-lft-identity95.2%
associate-+l+95.2%
+-commutative95.2%
Applied egg-rr95.2%
*-lft-identity95.2%
associate-+l+96.4%
associate-+l+96.4%
Simplified96.4%
Final simplification96.4%
(FPCore (z)
:precision binary64
(*
(* (sqrt (* PI 2.0)) (* (pow (- 7.5 z) (- 0.5 z)) (exp (+ z -7.5))))
(*
(/ PI (sin (* PI z)))
(+
(/ 1.5056327351493116e-7 (- 8.0 z))
(-
(/ 9.984369578019572e-6 (- 7.0 z))
(+
(+ (/ -176.6150291621406 (- z 4.0)) (/ 12.507343278686905 (- z 5.0)))
(-
(/ -0.13857109526572012 (- z 6.0))
(-
0.9999999999998099
(-
(/ -1259.1392167224028 (- z 2.0))
(+
(/ 771.3234287776531 (- 3.0 z))
(/ 676.5203681218851 (- 1.0 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))) * ((1.5056327351493116e-7 / (8.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) - (((-176.6150291621406 / (z - 4.0)) + (12.507343278686905 / (z - 5.0))) + ((-0.13857109526572012 / (z - 6.0)) - (0.9999999999998099 - ((-1259.1392167224028 / (z - 2.0)) - ((771.3234287776531 / (3.0 - z)) + (676.5203681218851 / (1.0 - 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))) * ((1.5056327351493116e-7 / (8.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) - (((-176.6150291621406 / (z - 4.0)) + (12.507343278686905 / (z - 5.0))) + ((-0.13857109526572012 / (z - 6.0)) - (0.9999999999998099 - ((-1259.1392167224028 / (z - 2.0)) - ((771.3234287776531 / (3.0 - z)) + (676.5203681218851 / (1.0 - 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))) * ((1.5056327351493116e-7 / (8.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) - (((-176.6150291621406 / (z - 4.0)) + (12.507343278686905 / (z - 5.0))) + ((-0.13857109526572012 / (z - 6.0)) - (0.9999999999998099 - ((-1259.1392167224028 / (z - 2.0)) - ((771.3234287776531 / (3.0 - z)) + (676.5203681218851 / (1.0 - 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(1.5056327351493116e-7 / Float64(8.0 - z)) + Float64(Float64(9.984369578019572e-6 / Float64(7.0 - z)) - Float64(Float64(Float64(-176.6150291621406 / Float64(z - 4.0)) + Float64(12.507343278686905 / Float64(z - 5.0))) + Float64(Float64(-0.13857109526572012 / Float64(z - 6.0)) - Float64(0.9999999999998099 - Float64(Float64(-1259.1392167224028 / Float64(z - 2.0)) - Float64(Float64(771.3234287776531 / Float64(3.0 - z)) + Float64(676.5203681218851 / Float64(1.0 - 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))) * ((1.5056327351493116e-7 / (8.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) - (((-176.6150291621406 / (z - 4.0)) + (12.507343278686905 / (z - 5.0))) + ((-0.13857109526572012 / (z - 6.0)) - (0.9999999999998099 - ((-1259.1392167224028 / (z - 2.0)) - ((771.3234287776531 / (3.0 - z)) + (676.5203681218851 / (1.0 - 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[(1.5056327351493116e-7 / N[(8.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(9.984369578019572e-6 / N[(7.0 - z), $MachinePrecision]), $MachinePrecision] - N[(N[(N[(-176.6150291621406 / N[(z - 4.0), $MachinePrecision]), $MachinePrecision] + N[(12.507343278686905 / N[(z - 5.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(-0.13857109526572012 / N[(z - 6.0), $MachinePrecision]), $MachinePrecision] - N[(0.9999999999998099 - N[(N[(-1259.1392167224028 / N[(z - 2.0), $MachinePrecision]), $MachinePrecision] - N[(N[(771.3234287776531 / N[(3.0 - z), $MachinePrecision]), $MachinePrecision] + N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $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(\frac{1.5056327351493116 \cdot 10^{-7}}{8 - z} + \left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} - \left(\left(\frac{-176.6150291621406}{z - 4} + \frac{12.507343278686905}{z - 5}\right) + \left(\frac{-0.13857109526572012}{z - 6} - \left(0.9999999999998099 - \left(\frac{-1259.1392167224028}{z - 2} - \left(\frac{771.3234287776531}{3 - z} + \frac{676.5203681218851}{1 - z}\right)\right)\right)\right)\right)\right)\right)\right)
\end{array}
Initial program 95.8%
Simplified95.2%
*-un-lft-identity95.2%
associate-+l+95.2%
+-commutative95.2%
Applied egg-rr95.2%
Simplified96.2%
Taylor expanded in z around inf 96.2%
exp-to-pow96.2%
sub-neg96.2%
metadata-eval96.2%
+-commutative96.2%
Simplified96.2%
Final simplification96.2%
(FPCore (z)
:precision binary64
(*
(*
(sqrt (* PI 2.0))
(* (pow (+ (- 1.0 z) 6.5) (+ (- 1.0 z) -0.5)) (exp (- (+ z -1.0) 6.5))))
(*
(/ PI (sin (* PI z)))
(+
(-
(/ -176.6150291621406 (+ (- 1.0 z) 3.0))
(-
(+
(+ (/ 676.5203681218851 (+ z -1.0)) (/ -1259.1392167224028 (- z 2.0)))
(/ 771.3234287776531 (- (+ z -1.0) 2.0)))
0.9999999999998099))
(+
2.4783749183520145
(* z (+ 0.49644474017195733 (* z 0.09941724278406093))))))))
double code(double z) {
return (sqrt((((double) M_PI) * 2.0)) * (pow(((1.0 - z) + 6.5), ((1.0 - z) + -0.5)) * exp(((z + -1.0) - 6.5)))) * ((((double) M_PI) / sin((((double) M_PI) * z))) * (((-176.6150291621406 / ((1.0 - z) + 3.0)) - ((((676.5203681218851 / (z + -1.0)) + (-1259.1392167224028 / (z - 2.0))) + (771.3234287776531 / ((z + -1.0) - 2.0))) - 0.9999999999998099)) + (2.4783749183520145 + (z * (0.49644474017195733 + (z * 0.09941724278406093))))));
}
public static double code(double z) {
return (Math.sqrt((Math.PI * 2.0)) * (Math.pow(((1.0 - z) + 6.5), ((1.0 - z) + -0.5)) * Math.exp(((z + -1.0) - 6.5)))) * ((Math.PI / Math.sin((Math.PI * z))) * (((-176.6150291621406 / ((1.0 - z) + 3.0)) - ((((676.5203681218851 / (z + -1.0)) + (-1259.1392167224028 / (z - 2.0))) + (771.3234287776531 / ((z + -1.0) - 2.0))) - 0.9999999999998099)) + (2.4783749183520145 + (z * (0.49644474017195733 + (z * 0.09941724278406093))))));
}
def code(z): return (math.sqrt((math.pi * 2.0)) * (math.pow(((1.0 - z) + 6.5), ((1.0 - z) + -0.5)) * math.exp(((z + -1.0) - 6.5)))) * ((math.pi / math.sin((math.pi * z))) * (((-176.6150291621406 / ((1.0 - z) + 3.0)) - ((((676.5203681218851 / (z + -1.0)) + (-1259.1392167224028 / (z - 2.0))) + (771.3234287776531 / ((z + -1.0) - 2.0))) - 0.9999999999998099)) + (2.4783749183520145 + (z * (0.49644474017195733 + (z * 0.09941724278406093))))))
function code(z) return Float64(Float64(sqrt(Float64(pi * 2.0)) * Float64((Float64(Float64(1.0 - z) + 6.5) ^ Float64(Float64(1.0 - z) + -0.5)) * exp(Float64(Float64(z + -1.0) - 6.5)))) * Float64(Float64(pi / sin(Float64(pi * z))) * Float64(Float64(Float64(-176.6150291621406 / Float64(Float64(1.0 - z) + 3.0)) - Float64(Float64(Float64(Float64(676.5203681218851 / Float64(z + -1.0)) + Float64(-1259.1392167224028 / Float64(z - 2.0))) + Float64(771.3234287776531 / Float64(Float64(z + -1.0) - 2.0))) - 0.9999999999998099)) + Float64(2.4783749183520145 + Float64(z * Float64(0.49644474017195733 + Float64(z * 0.09941724278406093))))))) end
function tmp = code(z) tmp = (sqrt((pi * 2.0)) * ((((1.0 - z) + 6.5) ^ ((1.0 - z) + -0.5)) * exp(((z + -1.0) - 6.5)))) * ((pi / sin((pi * z))) * (((-176.6150291621406 / ((1.0 - z) + 3.0)) - ((((676.5203681218851 / (z + -1.0)) + (-1259.1392167224028 / (z - 2.0))) + (771.3234287776531 / ((z + -1.0) - 2.0))) - 0.9999999999998099)) + (2.4783749183520145 + (z * (0.49644474017195733 + (z * 0.09941724278406093)))))); end
code[z_] := N[(N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[Power[N[(N[(1.0 - z), $MachinePrecision] + 6.5), $MachinePrecision], N[(N[(1.0 - z), $MachinePrecision] + -0.5), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(N[(z + -1.0), $MachinePrecision] - 6.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(-176.6150291621406 / N[(N[(1.0 - z), $MachinePrecision] + 3.0), $MachinePrecision]), $MachinePrecision] - N[(N[(N[(N[(676.5203681218851 / N[(z + -1.0), $MachinePrecision]), $MachinePrecision] + N[(-1259.1392167224028 / N[(z - 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(771.3234287776531 / N[(N[(z + -1.0), $MachinePrecision] - 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.9999999999998099), $MachinePrecision]), $MachinePrecision] + N[(2.4783749183520145 + N[(z * N[(0.49644474017195733 + N[(z * 0.09941724278406093), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\sqrt{\pi \cdot 2} \cdot \left({\left(\left(1 - z\right) + 6.5\right)}^{\left(\left(1 - z\right) + -0.5\right)} \cdot e^{\left(z + -1\right) - 6.5}\right)\right) \cdot \left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\frac{-176.6150291621406}{\left(1 - z\right) + 3} - \left(\left(\left(\frac{676.5203681218851}{z + -1} + \frac{-1259.1392167224028}{z - 2}\right) + \frac{771.3234287776531}{\left(z + -1\right) - 2}\right) - 0.9999999999998099\right)\right) + \left(2.4783749183520145 + z \cdot \left(0.49644474017195733 + z \cdot 0.09941724278406093\right)\right)\right)\right)
\end{array}
Initial program 95.8%
Simplified95.0%
*-un-lft-identity95.0%
associate-+r+96.2%
Applied egg-rr96.4%
*-lft-identity96.4%
+-commutative96.4%
associate-+r-96.4%
metadata-eval96.4%
associate-+l+96.4%
metadata-eval96.4%
associate-+r-96.4%
Simplified96.4%
Taylor expanded in z around 0 95.9%
*-commutative95.9%
Simplified95.9%
Final simplification95.9%
(FPCore (z) :precision binary64 (* (sqrt PI) (* (* (pow (- 7.5 z) (- 0.5 z)) 263.3831869810514) (/ (* (exp -7.5) (sqrt 2.0)) z))))
double code(double z) {
return sqrt(((double) M_PI)) * ((pow((7.5 - z), (0.5 - z)) * 263.3831869810514) * ((exp(-7.5) * sqrt(2.0)) / z));
}
public static double code(double z) {
return Math.sqrt(Math.PI) * ((Math.pow((7.5 - z), (0.5 - z)) * 263.3831869810514) * ((Math.exp(-7.5) * Math.sqrt(2.0)) / z));
}
def code(z): return math.sqrt(math.pi) * ((math.pow((7.5 - z), (0.5 - z)) * 263.3831869810514) * ((math.exp(-7.5) * math.sqrt(2.0)) / z))
function code(z) return Float64(sqrt(pi) * Float64(Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * 263.3831869810514) * Float64(Float64(exp(-7.5) * sqrt(2.0)) / z))) end
function tmp = code(z) tmp = sqrt(pi) * ((((7.5 - z) ^ (0.5 - z)) * 263.3831869810514) * ((exp(-7.5) * sqrt(2.0)) / z)); end
code[z_] := N[(N[Sqrt[Pi], $MachinePrecision] * N[(N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * 263.3831869810514), $MachinePrecision] * N[(N[(N[Exp[-7.5], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt{\pi} \cdot \left(\left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot 263.3831869810514\right) \cdot \frac{e^{-7.5} \cdot \sqrt{2}}{z}\right)
\end{array}
Initial program 95.8%
Simplified95.2%
Taylor expanded in z around 0 93.6%
Taylor expanded in z around 0 93.7%
Taylor expanded in z around inf 94.9%
associate-*r*94.8%
*-commutative94.8%
associate-/l*95.1%
associate-*r*94.6%
exp-to-pow94.6%
sub-neg94.6%
metadata-eval94.6%
associate-/l*94.9%
Simplified94.9%
Taylor expanded in z around 0 95.7%
Final simplification95.7%
(FPCore (z) :precision binary64 (* (sqrt PI) (* 263.3831869810514 (* (/ (exp -7.5) z) (* (sqrt 2.0) (sqrt 7.5))))))
double code(double z) {
return sqrt(((double) M_PI)) * (263.3831869810514 * ((exp(-7.5) / z) * (sqrt(2.0) * sqrt(7.5))));
}
public static double code(double z) {
return Math.sqrt(Math.PI) * (263.3831869810514 * ((Math.exp(-7.5) / z) * (Math.sqrt(2.0) * Math.sqrt(7.5))));
}
def code(z): return math.sqrt(math.pi) * (263.3831869810514 * ((math.exp(-7.5) / z) * (math.sqrt(2.0) * math.sqrt(7.5))))
function code(z) return Float64(sqrt(pi) * Float64(263.3831869810514 * Float64(Float64(exp(-7.5) / z) * Float64(sqrt(2.0) * sqrt(7.5))))) end
function tmp = code(z) tmp = sqrt(pi) * (263.3831869810514 * ((exp(-7.5) / z) * (sqrt(2.0) * sqrt(7.5)))); end
code[z_] := N[(N[Sqrt[Pi], $MachinePrecision] * N[(263.3831869810514 * N[(N[(N[Exp[-7.5], $MachinePrecision] / z), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sqrt[7.5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt{\pi} \cdot \left(263.3831869810514 \cdot \left(\frac{e^{-7.5}}{z} \cdot \left(\sqrt{2} \cdot \sqrt{7.5}\right)\right)\right)
\end{array}
Initial program 95.8%
Simplified95.2%
Taylor expanded in z around 0 93.6%
Taylor expanded in z around 0 93.7%
Taylor expanded in z around 0 93.9%
Taylor expanded in z around 0 95.0%
associate-*r*95.0%
*-commutative95.0%
*-commutative95.0%
associate-/l*95.2%
Simplified95.2%
Final simplification95.2%
(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 95.8%
Simplified95.2%
Taylor expanded in z around 0 93.6%
Taylor expanded in z around 0 95.0%
*-commutative95.0%
Simplified95.0%
Final simplification95.0%
(FPCore (z) :precision binary64 (* (* (sqrt (* PI 2.0)) (* (pow (- 7.5 z) (- 0.5 z)) (exp (+ z -7.5)))) (/ (+ 263.3831869810514 (* z 436.8961725563396)) z)))
double code(double z) {
return (sqrt((((double) M_PI) * 2.0)) * (pow((7.5 - z), (0.5 - z)) * exp((z + -7.5)))) * ((263.3831869810514 + (z * 436.8961725563396)) / 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)))) * ((263.3831869810514 + (z * 436.8961725563396)) / z);
}
def code(z): return (math.sqrt((math.pi * 2.0)) * (math.pow((7.5 - z), (0.5 - z)) * math.exp((z + -7.5)))) * ((263.3831869810514 + (z * 436.8961725563396)) / 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(263.3831869810514 + Float64(z * 436.8961725563396)) / z)) end
function tmp = code(z) tmp = (sqrt((pi * 2.0)) * (((7.5 - z) ^ (0.5 - z)) * exp((z + -7.5)))) * ((263.3831869810514 + (z * 436.8961725563396)) / 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[(263.3831869810514 + N[(z * 436.8961725563396), $MachinePrecision]), $MachinePrecision] / z), $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 \frac{263.3831869810514 + z \cdot 436.8961725563396}{z}
\end{array}
Initial program 95.8%
Simplified95.2%
Taylor expanded in z around 0 95.2%
*-commutative95.2%
Simplified95.2%
Taylor expanded in z around 0 95.0%
*-commutative95.0%
Simplified95.0%
Final simplification95.0%
(FPCore (z) :precision binary64 (* 263.3831869810514 (/ (* (exp -7.5) (* (sqrt (* PI 2.0)) (sqrt 7.5))) z)))
double code(double z) {
return 263.3831869810514 * ((exp(-7.5) * (sqrt((((double) M_PI) * 2.0)) * sqrt(7.5))) / z);
}
public static double code(double z) {
return 263.3831869810514 * ((Math.exp(-7.5) * (Math.sqrt((Math.PI * 2.0)) * Math.sqrt(7.5))) / z);
}
def code(z): return 263.3831869810514 * ((math.exp(-7.5) * (math.sqrt((math.pi * 2.0)) * math.sqrt(7.5))) / z)
function code(z) return Float64(263.3831869810514 * Float64(Float64(exp(-7.5) * Float64(sqrt(Float64(pi * 2.0)) * sqrt(7.5))) / z)) end
function tmp = code(z) tmp = 263.3831869810514 * ((exp(-7.5) * (sqrt((pi * 2.0)) * sqrt(7.5))) / z); end
code[z_] := N[(263.3831869810514 * N[(N[(N[Exp[-7.5], $MachinePrecision] * N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[Sqrt[7.5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / z), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
263.3831869810514 \cdot \frac{e^{-7.5} \cdot \left(\sqrt{\pi \cdot 2} \cdot \sqrt{7.5}\right)}{z}
\end{array}
Initial program 95.8%
Simplified95.2%
Taylor expanded in z around 0 93.6%
Taylor expanded in z around 0 93.7%
Taylor expanded in z around 0 93.9%
associate-*r/94.5%
Applied egg-rr94.5%
*-commutative94.5%
associate-/l*94.9%
*-commutative94.9%
associate-*l*94.9%
*-commutative94.9%
Simplified94.9%
Final simplification94.9%
herbie shell --seed 2024100
(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))))))