
(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 16 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
(*
(sqrt (* PI 2.0))
(* (pow (+ (- 1.0 z) 6.5) (+ (- 1.0 z) -0.5)) (exp (+ (+ z -1.0) -6.5)))))
(sin (* PI z)))
(+
(-
0.9999999999998099
(-
(/ 676.5203681218851 (+ z -1.0))
(/ -1259.1392167224028 (- 1.0 (+ z -1.0)))))
(-
(+
(/ 771.3234287776531 (+ 2.0 (- 1.0 z)))
(/ -176.6150291621406 (- 1.0 (+ z -3.0))))
(+
(/ -0.13857109526572012 (- z 6.0))
(+
(+
(/ 9.984369578019572e-6 (- z 7.0))
(/ 1.5056327351493116e-7 (- z 8.0)))
(/ 12.507343278686905 (- z 5.0))))))))
double code(double z) {
return ((((double) M_PI) * (sqrt((((double) M_PI) * 2.0)) * (pow(((1.0 - z) + 6.5), ((1.0 - z) + -0.5)) * exp(((z + -1.0) + -6.5))))) / sin((((double) M_PI) * z))) * ((0.9999999999998099 - ((676.5203681218851 / (z + -1.0)) - (-1259.1392167224028 / (1.0 - (z + -1.0))))) + (((771.3234287776531 / (2.0 + (1.0 - z))) + (-176.6150291621406 / (1.0 - (z + -3.0)))) - ((-0.13857109526572012 / (z - 6.0)) + (((9.984369578019572e-6 / (z - 7.0)) + (1.5056327351493116e-7 / (z - 8.0))) + (12.507343278686905 / (z - 5.0))))));
}
public static double code(double z) {
return ((Math.PI * (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.sin((Math.PI * z))) * ((0.9999999999998099 - ((676.5203681218851 / (z + -1.0)) - (-1259.1392167224028 / (1.0 - (z + -1.0))))) + (((771.3234287776531 / (2.0 + (1.0 - z))) + (-176.6150291621406 / (1.0 - (z + -3.0)))) - ((-0.13857109526572012 / (z - 6.0)) + (((9.984369578019572e-6 / (z - 7.0)) + (1.5056327351493116e-7 / (z - 8.0))) + (12.507343278686905 / (z - 5.0))))));
}
def code(z): return ((math.pi * (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.sin((math.pi * z))) * ((0.9999999999998099 - ((676.5203681218851 / (z + -1.0)) - (-1259.1392167224028 / (1.0 - (z + -1.0))))) + (((771.3234287776531 / (2.0 + (1.0 - z))) + (-176.6150291621406 / (1.0 - (z + -3.0)))) - ((-0.13857109526572012 / (z - 6.0)) + (((9.984369578019572e-6 / (z - 7.0)) + (1.5056327351493116e-7 / (z - 8.0))) + (12.507343278686905 / (z - 5.0))))))
function code(z) return Float64(Float64(Float64(pi * 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))))) / sin(Float64(pi * z))) * Float64(Float64(0.9999999999998099 - Float64(Float64(676.5203681218851 / Float64(z + -1.0)) - Float64(-1259.1392167224028 / Float64(1.0 - Float64(z + -1.0))))) + Float64(Float64(Float64(771.3234287776531 / Float64(2.0 + Float64(1.0 - z))) + Float64(-176.6150291621406 / Float64(1.0 - Float64(z + -3.0)))) - Float64(Float64(-0.13857109526572012 / Float64(z - 6.0)) + Float64(Float64(Float64(9.984369578019572e-6 / Float64(z - 7.0)) + Float64(1.5056327351493116e-7 / Float64(z - 8.0))) + Float64(12.507343278686905 / Float64(z - 5.0))))))) end
function tmp = code(z) tmp = ((pi * (sqrt((pi * 2.0)) * ((((1.0 - z) + 6.5) ^ ((1.0 - z) + -0.5)) * exp(((z + -1.0) + -6.5))))) / sin((pi * z))) * ((0.9999999999998099 - ((676.5203681218851 / (z + -1.0)) - (-1259.1392167224028 / (1.0 - (z + -1.0))))) + (((771.3234287776531 / (2.0 + (1.0 - z))) + (-176.6150291621406 / (1.0 - (z + -3.0)))) - ((-0.13857109526572012 / (z - 6.0)) + (((9.984369578019572e-6 / (z - 7.0)) + (1.5056327351493116e-7 / (z - 8.0))) + (12.507343278686905 / (z - 5.0)))))); end
code[z_] := N[(N[(N[(Pi * 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]), $MachinePrecision] / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(0.9999999999998099 - N[(N[(676.5203681218851 / N[(z + -1.0), $MachinePrecision]), $MachinePrecision] - N[(-1259.1392167224028 / N[(1.0 - N[(z + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(771.3234287776531 / N[(2.0 + N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-176.6150291621406 / N[(1.0 - N[(z + -3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(-0.13857109526572012 / N[(z - 6.0), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(9.984369578019572e-6 / N[(z - 7.0), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(z - 8.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(12.507343278686905 / N[(z - 5.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\pi \cdot \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)}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(0.9999999999998099 - \left(\frac{676.5203681218851}{z + -1} - \frac{-1259.1392167224028}{1 - \left(z + -1\right)}\right)\right) + \left(\left(\frac{771.3234287776531}{2 + \left(1 - z\right)} + \frac{-176.6150291621406}{1 - \left(z + -3\right)}\right) - \left(\frac{-0.13857109526572012}{z - 6} + \left(\left(\frac{9.984369578019572 \cdot 10^{-6}}{z - 7} + \frac{1.5056327351493116 \cdot 10^{-7}}{z - 8}\right) + \frac{12.507343278686905}{z - 5}\right)\right)\right)\right)
\end{array}
Initial program 96.1%
Simplified97.8%
Applied egg-rr98.0%
Applied egg-rr98.0%
*-lft-identity98.0%
associate-+l+97.3%
associate-+l+98.0%
+-commutative98.0%
Simplified98.0%
*-un-lft-identity98.0%
associate--r-98.0%
associate--r-98.0%
associate--r-98.0%
Applied egg-rr98.0%
*-lft-identity98.0%
associate-+r+98.0%
+-commutative98.0%
associate-+l+98.0%
+-commutative98.0%
associate-+r-98.0%
metadata-eval98.0%
+-commutative98.0%
associate-+r-98.0%
metadata-eval98.0%
+-commutative98.0%
associate-+r-98.0%
metadata-eval98.0%
+-commutative98.0%
associate-+r-98.0%
Simplified98.0%
Final simplification98.0%
(FPCore (z)
:precision binary64
(*
(/
(*
PI
(*
(sqrt (* PI 2.0))
(* (pow (+ (- 1.0 z) 6.5) (+ (- 1.0 z) -0.5)) (exp (+ (+ z -1.0) -6.5)))))
(sin (* PI z)))
(+
(-
0.9999999999998099
(-
(/ 676.5203681218851 (+ z -1.0))
(/ -1259.1392167224028 (- 1.0 (+ z -1.0)))))
(+
(+
(/ -0.13857109526572012 (- 6.0 z))
(+
(/ 12.507343278686905 (- 5.0 z))
(+
(/ 9.984369578019572e-6 (- 7.0 z))
(/ 1.5056327351493116e-7 (- 8.0 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(((1.0 - z) + 6.5), ((1.0 - z) + -0.5)) * exp(((z + -1.0) + -6.5))))) / sin((((double) M_PI) * z))) * ((0.9999999999998099 - ((676.5203681218851 / (z + -1.0)) - (-1259.1392167224028 / (1.0 - (z + -1.0))))) + (((-0.13857109526572012 / (6.0 - z)) + ((12.507343278686905 / (5.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - 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(((1.0 - z) + 6.5), ((1.0 - z) + -0.5)) * Math.exp(((z + -1.0) + -6.5))))) / Math.sin((Math.PI * z))) * ((0.9999999999998099 - ((676.5203681218851 / (z + -1.0)) - (-1259.1392167224028 / (1.0 - (z + -1.0))))) + (((-0.13857109526572012 / (6.0 - z)) + ((12.507343278686905 / (5.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - 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(((1.0 - z) + 6.5), ((1.0 - z) + -0.5)) * math.exp(((z + -1.0) + -6.5))))) / math.sin((math.pi * z))) * ((0.9999999999998099 - ((676.5203681218851 / (z + -1.0)) - (-1259.1392167224028 / (1.0 - (z + -1.0))))) + (((-0.13857109526572012 / (6.0 - z)) + ((12.507343278686905 / (5.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))))) + ((771.3234287776531 / (3.0 - z)) + (-176.6150291621406 / (4.0 - z)))))
function code(z) return Float64(Float64(Float64(pi * 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))))) / sin(Float64(pi * z))) * Float64(Float64(0.9999999999998099 - Float64(Float64(676.5203681218851 / Float64(z + -1.0)) - Float64(-1259.1392167224028 / Float64(1.0 - Float64(z + -1.0))))) + Float64(Float64(Float64(-0.13857109526572012 / Float64(6.0 - z)) + Float64(Float64(12.507343278686905 / Float64(5.0 - z)) + Float64(Float64(9.984369578019572e-6 / Float64(7.0 - z)) + Float64(1.5056327351493116e-7 / Float64(8.0 - 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)) * ((((1.0 - z) + 6.5) ^ ((1.0 - z) + -0.5)) * exp(((z + -1.0) + -6.5))))) / sin((pi * z))) * ((0.9999999999998099 - ((676.5203681218851 / (z + -1.0)) - (-1259.1392167224028 / (1.0 - (z + -1.0))))) + (((-0.13857109526572012 / (6.0 - z)) + ((12.507343278686905 / (5.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))))) + ((771.3234287776531 / (3.0 - z)) + (-176.6150291621406 / (4.0 - z))))); end
code[z_] := N[(N[(N[(Pi * 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]), $MachinePrecision] / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(0.9999999999998099 - N[(N[(676.5203681218851 / N[(z + -1.0), $MachinePrecision]), $MachinePrecision] - N[(-1259.1392167224028 / N[(1.0 - N[(z + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(-0.13857109526572012 / N[(6.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(12.507343278686905 / N[(5.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(9.984369578019572e-6 / N[(7.0 - z), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(8.0 - z), $MachinePrecision]), $MachinePrecision]), $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]
\begin{array}{l}
\\
\frac{\pi \cdot \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)}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(0.9999999999998099 - \left(\frac{676.5203681218851}{z + -1} - \frac{-1259.1392167224028}{1 - \left(z + -1\right)}\right)\right) + \left(\left(\frac{-0.13857109526572012}{6 - z} + \left(\frac{12.507343278686905}{5 - z} + \left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \frac{1.5056327351493116 \cdot 10^{-7}}{8 - z}\right)\right)\right) + \left(\frac{771.3234287776531}{3 - z} + \frac{-176.6150291621406}{4 - z}\right)\right)\right)
\end{array}
Initial program 96.1%
Simplified97.8%
Applied egg-rr98.0%
Applied egg-rr98.0%
*-lft-identity98.0%
associate-+l+97.3%
associate-+l+98.0%
+-commutative98.0%
Simplified98.0%
*-un-lft-identity98.0%
+-commutative98.0%
associate--r-98.0%
associate--r-98.0%
associate--r-98.0%
Applied egg-rr98.0%
*-lft-identity98.0%
Simplified98.0%
Final simplification98.0%
(FPCore (z)
:precision binary64
(*
(+
(-
0.9999999999998099
(-
(/ 676.5203681218851 (+ z -1.0))
(/ -1259.1392167224028 (- 1.0 (+ z -1.0)))))
(-
(+
(/ 771.3234287776531 (+ 2.0 (- 1.0 z)))
(/ -176.6150291621406 (- 1.0 (+ z -3.0))))
(+
(/ -0.13857109526572012 (- z 6.0))
(+
(+
(/ 9.984369578019572e-6 (- z 7.0))
(/ 1.5056327351493116e-7 (- z 8.0)))
(/ 12.507343278686905 (- z 5.0))))))
(/
(* 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 / (z + -1.0)) - (-1259.1392167224028 / (1.0 - (z + -1.0))))) + (((771.3234287776531 / (2.0 + (1.0 - z))) + (-176.6150291621406 / (1.0 - (z + -3.0)))) - ((-0.13857109526572012 / (z - 6.0)) + (((9.984369578019572e-6 / (z - 7.0)) + (1.5056327351493116e-7 / (z - 8.0))) + (12.507343278686905 / (z - 5.0)))))) * ((((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 / (z + -1.0)) - (-1259.1392167224028 / (1.0 - (z + -1.0))))) + (((771.3234287776531 / (2.0 + (1.0 - z))) + (-176.6150291621406 / (1.0 - (z + -3.0)))) - ((-0.13857109526572012 / (z - 6.0)) + (((9.984369578019572e-6 / (z - 7.0)) + (1.5056327351493116e-7 / (z - 8.0))) + (12.507343278686905 / (z - 5.0)))))) * ((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 / (z + -1.0)) - (-1259.1392167224028 / (1.0 - (z + -1.0))))) + (((771.3234287776531 / (2.0 + (1.0 - z))) + (-176.6150291621406 / (1.0 - (z + -3.0)))) - ((-0.13857109526572012 / (z - 6.0)) + (((9.984369578019572e-6 / (z - 7.0)) + (1.5056327351493116e-7 / (z - 8.0))) + (12.507343278686905 / (z - 5.0)))))) * ((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(0.9999999999998099 - Float64(Float64(676.5203681218851 / Float64(z + -1.0)) - Float64(-1259.1392167224028 / Float64(1.0 - Float64(z + -1.0))))) + Float64(Float64(Float64(771.3234287776531 / Float64(2.0 + Float64(1.0 - z))) + Float64(-176.6150291621406 / Float64(1.0 - Float64(z + -3.0)))) - Float64(Float64(-0.13857109526572012 / Float64(z - 6.0)) + Float64(Float64(Float64(9.984369578019572e-6 / Float64(z - 7.0)) + Float64(1.5056327351493116e-7 / Float64(z - 8.0))) + Float64(12.507343278686905 / Float64(z - 5.0)))))) * Float64(Float64(pi * Float64(sqrt(Float64(pi * 2.0)) * Float64((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 / (z + -1.0)) - (-1259.1392167224028 / (1.0 - (z + -1.0))))) + (((771.3234287776531 / (2.0 + (1.0 - z))) + (-176.6150291621406 / (1.0 - (z + -3.0)))) - ((-0.13857109526572012 / (z - 6.0)) + (((9.984369578019572e-6 / (z - 7.0)) + (1.5056327351493116e-7 / (z - 8.0))) + (12.507343278686905 / (z - 5.0)))))) * ((pi * (sqrt((pi * 2.0)) * (((7.5 - z) ^ (0.5 - z)) * exp((z + -7.5))))) / sin((pi * z))); end
code[z_] := N[(N[(N[(0.9999999999998099 - N[(N[(676.5203681218851 / N[(z + -1.0), $MachinePrecision]), $MachinePrecision] - N[(-1259.1392167224028 / N[(1.0 - N[(z + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(771.3234287776531 / N[(2.0 + N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-176.6150291621406 / N[(1.0 - N[(z + -3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(-0.13857109526572012 / N[(z - 6.0), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(9.984369578019572e-6 / N[(z - 7.0), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(z - 8.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(12.507343278686905 / N[(z - 5.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(Pi * 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] / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(0.9999999999998099 - \left(\frac{676.5203681218851}{z + -1} - \frac{-1259.1392167224028}{1 - \left(z + -1\right)}\right)\right) + \left(\left(\frac{771.3234287776531}{2 + \left(1 - z\right)} + \frac{-176.6150291621406}{1 - \left(z + -3\right)}\right) - \left(\frac{-0.13857109526572012}{z - 6} + \left(\left(\frac{9.984369578019572 \cdot 10^{-6}}{z - 7} + \frac{1.5056327351493116 \cdot 10^{-7}}{z - 8}\right) + \frac{12.507343278686905}{z - 5}\right)\right)\right)\right) \cdot \frac{\pi \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)}{\sin \left(\pi \cdot z\right)}
\end{array}
Initial program 96.1%
Simplified97.8%
Applied egg-rr98.0%
Applied egg-rr98.0%
*-lft-identity98.0%
associate-+l+97.3%
associate-+l+98.0%
+-commutative98.0%
Simplified98.0%
*-un-lft-identity98.0%
associate--r-98.0%
associate--r-98.0%
associate--r-98.0%
Applied egg-rr98.0%
*-lft-identity98.0%
associate-+r+98.0%
+-commutative98.0%
associate-+l+98.0%
+-commutative98.0%
associate-+r-98.0%
metadata-eval98.0%
+-commutative98.0%
associate-+r-98.0%
metadata-eval98.0%
+-commutative98.0%
associate-+r-98.0%
metadata-eval98.0%
+-commutative98.0%
associate-+r-98.0%
Simplified98.0%
pow198.0%
neg-mul-198.0%
fma-define98.0%
Applied egg-rr98.0%
unpow198.0%
*-commutative98.0%
+-commutative98.0%
associate-+r-98.0%
metadata-eval98.0%
+-commutative98.0%
associate-+r-98.0%
metadata-eval98.0%
fma-undefine98.0%
neg-mul-198.0%
metadata-eval98.0%
distribute-neg-in98.0%
+-commutative98.0%
sub-neg98.0%
associate-+r+98.0%
metadata-eval98.0%
mul-1-neg98.0%
Simplified98.0%
Final simplification98.0%
(FPCore (z)
:precision binary64
(*
(* (sqrt (* PI 2.0)) (* (pow (- 7.5 z) (- 0.5 z)) (exp (+ z -7.5))))
(*
(/ PI (sin (* PI z)))
(-
(-
(/ -0.13857109526572012 (- 6.0 z))
(+ (/ 12.507343278686905 (- z 5.0)) (/ -176.6150291621406 (- z 4.0))))
(+
(+ (/ 9.984369578019572e-6 (- z 7.0)) (/ 1.5056327351493116e-7 (- z 8.0)))
(-
(+ (/ 676.5203681218851 (+ z -1.0)) (/ -1259.1392167224028 (- z 2.0)))
(+ 0.9999999999998099 (* 771.3234287776531 (/ -1.0 (- z 3.0))))))))))
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))) * (((-0.13857109526572012 / (6.0 - z)) - ((12.507343278686905 / (z - 5.0)) + (-176.6150291621406 / (z - 4.0)))) - (((9.984369578019572e-6 / (z - 7.0)) + (1.5056327351493116e-7 / (z - 8.0))) + (((676.5203681218851 / (z + -1.0)) + (-1259.1392167224028 / (z - 2.0))) - (0.9999999999998099 + (771.3234287776531 * (-1.0 / (z - 3.0))))))));
}
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))) * (((-0.13857109526572012 / (6.0 - z)) - ((12.507343278686905 / (z - 5.0)) + (-176.6150291621406 / (z - 4.0)))) - (((9.984369578019572e-6 / (z - 7.0)) + (1.5056327351493116e-7 / (z - 8.0))) + (((676.5203681218851 / (z + -1.0)) + (-1259.1392167224028 / (z - 2.0))) - (0.9999999999998099 + (771.3234287776531 * (-1.0 / (z - 3.0))))))));
}
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))) * (((-0.13857109526572012 / (6.0 - z)) - ((12.507343278686905 / (z - 5.0)) + (-176.6150291621406 / (z - 4.0)))) - (((9.984369578019572e-6 / (z - 7.0)) + (1.5056327351493116e-7 / (z - 8.0))) + (((676.5203681218851 / (z + -1.0)) + (-1259.1392167224028 / (z - 2.0))) - (0.9999999999998099 + (771.3234287776531 * (-1.0 / (z - 3.0))))))))
function code(z) return Float64(Float64(sqrt(Float64(pi * 2.0)) * Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * exp(Float64(z + -7.5)))) * Float64(Float64(pi / sin(Float64(pi * z))) * Float64(Float64(Float64(-0.13857109526572012 / Float64(6.0 - z)) - Float64(Float64(12.507343278686905 / Float64(z - 5.0)) + Float64(-176.6150291621406 / Float64(z - 4.0)))) - Float64(Float64(Float64(9.984369578019572e-6 / Float64(z - 7.0)) + Float64(1.5056327351493116e-7 / Float64(z - 8.0))) + Float64(Float64(Float64(676.5203681218851 / Float64(z + -1.0)) + Float64(-1259.1392167224028 / Float64(z - 2.0))) - Float64(0.9999999999998099 + Float64(771.3234287776531 * Float64(-1.0 / Float64(z - 3.0))))))))) end
function tmp = code(z) tmp = (sqrt((pi * 2.0)) * (((7.5 - z) ^ (0.5 - z)) * exp((z + -7.5)))) * ((pi / sin((pi * z))) * (((-0.13857109526572012 / (6.0 - z)) - ((12.507343278686905 / (z - 5.0)) + (-176.6150291621406 / (z - 4.0)))) - (((9.984369578019572e-6 / (z - 7.0)) + (1.5056327351493116e-7 / (z - 8.0))) + (((676.5203681218851 / (z + -1.0)) + (-1259.1392167224028 / (z - 2.0))) - (0.9999999999998099 + (771.3234287776531 * (-1.0 / (z - 3.0)))))))); end
code[z_] := N[(N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(-0.13857109526572012 / N[(6.0 - z), $MachinePrecision]), $MachinePrecision] - N[(N[(12.507343278686905 / N[(z - 5.0), $MachinePrecision]), $MachinePrecision] + N[(-176.6150291621406 / N[(z - 4.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(N[(9.984369578019572e-6 / N[(z - 7.0), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(z - 8.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(676.5203681218851 / N[(z + -1.0), $MachinePrecision]), $MachinePrecision] + N[(-1259.1392167224028 / N[(z - 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(0.9999999999998099 + N[(771.3234287776531 * N[(-1.0 / N[(z - 3.0), $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(\left(\frac{-0.13857109526572012}{6 - z} - \left(\frac{12.507343278686905}{z - 5} + \frac{-176.6150291621406}{z - 4}\right)\right) - \left(\left(\frac{9.984369578019572 \cdot 10^{-6}}{z - 7} + \frac{1.5056327351493116 \cdot 10^{-7}}{z - 8}\right) + \left(\left(\frac{676.5203681218851}{z + -1} + \frac{-1259.1392167224028}{z - 2}\right) - \left(0.9999999999998099 + 771.3234287776531 \cdot \frac{-1}{z - 3}\right)\right)\right)\right)\right)
\end{array}
Initial program 96.1%
Simplified96.5%
Taylor expanded in z around inf 96.5%
exp-to-pow96.5%
Simplified96.5%
div-inv97.8%
Applied egg-rr97.8%
Final simplification97.8%
(FPCore (z)
:precision binary64
(*
PI
(*
(sqrt (* PI 2.0))
(*
(* (pow (- 7.5 z) (- 0.5 z)) (/ (exp (+ (+ z -1.0) -6.5)) (sin (* PI z))))
(+
0.9999999999998099
(+
(/ 676.5203681218851 (- 1.0 z))
(+
(+
(/ 12.507343278686905 (- 5.0 z))
(+
(/ 9.984369578019572e-6 (- 7.0 z))
(/ 1.5056327351493116e-7 (- 8.0 z))))
(+
(/ -1259.1392167224028 (- 2.0 z))
(-
(/ 771.3234287776531 (- 3.0 z))
(+
(/ -0.13857109526572012 (- z 6.0))
(/ -176.6150291621406 (- z 4.0))))))))))))
double code(double z) {
return ((double) M_PI) * (sqrt((((double) M_PI) * 2.0)) * ((pow((7.5 - z), (0.5 - z)) * (exp(((z + -1.0) + -6.5)) / sin((((double) M_PI) * z)))) * (0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (((12.507343278686905 / (5.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z)))) + ((-1259.1392167224028 / (2.0 - z)) + ((771.3234287776531 / (3.0 - z)) - ((-0.13857109526572012 / (z - 6.0)) + (-176.6150291621406 / (z - 4.0))))))))));
}
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 + -1.0) + -6.5)) / Math.sin((Math.PI * z)))) * (0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (((12.507343278686905 / (5.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z)))) + ((-1259.1392167224028 / (2.0 - z)) + ((771.3234287776531 / (3.0 - z)) - ((-0.13857109526572012 / (z - 6.0)) + (-176.6150291621406 / (z - 4.0))))))))));
}
def code(z): return math.pi * (math.sqrt((math.pi * 2.0)) * ((math.pow((7.5 - z), (0.5 - z)) * (math.exp(((z + -1.0) + -6.5)) / math.sin((math.pi * z)))) * (0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (((12.507343278686905 / (5.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z)))) + ((-1259.1392167224028 / (2.0 - z)) + ((771.3234287776531 / (3.0 - z)) - ((-0.13857109526572012 / (z - 6.0)) + (-176.6150291621406 / (z - 4.0))))))))))
function code(z) return Float64(pi * Float64(sqrt(Float64(pi * 2.0)) * Float64(Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * Float64(exp(Float64(Float64(z + -1.0) + -6.5)) / sin(Float64(pi * z)))) * Float64(0.9999999999998099 + Float64(Float64(676.5203681218851 / Float64(1.0 - z)) + Float64(Float64(Float64(12.507343278686905 / Float64(5.0 - z)) + Float64(Float64(9.984369578019572e-6 / Float64(7.0 - z)) + Float64(1.5056327351493116e-7 / Float64(8.0 - z)))) + Float64(Float64(-1259.1392167224028 / Float64(2.0 - z)) + Float64(Float64(771.3234287776531 / Float64(3.0 - z)) - Float64(Float64(-0.13857109526572012 / Float64(z - 6.0)) + Float64(-176.6150291621406 / Float64(z - 4.0))))))))))) end
function tmp = code(z) tmp = pi * (sqrt((pi * 2.0)) * ((((7.5 - z) ^ (0.5 - z)) * (exp(((z + -1.0) + -6.5)) / sin((pi * z)))) * (0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (((12.507343278686905 / (5.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z)))) + ((-1259.1392167224028 / (2.0 - z)) + ((771.3234287776531 / (3.0 - z)) - ((-0.13857109526572012 / (z - 6.0)) + (-176.6150291621406 / (z - 4.0)))))))))); end
code[z_] := N[(Pi * N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[(N[Exp[N[(N[(z + -1.0), $MachinePrecision] + -6.5), $MachinePrecision]], $MachinePrecision] / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(0.9999999999998099 + N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(12.507343278686905 / N[(5.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(9.984369578019572e-6 / N[(7.0 - z), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(8.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(771.3234287776531 / N[(3.0 - z), $MachinePrecision]), $MachinePrecision] - N[(N[(-0.13857109526572012 / N[(z - 6.0), $MachinePrecision]), $MachinePrecision] + N[(-176.6150291621406 / N[(z - 4.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\pi \cdot \left(\sqrt{\pi \cdot 2} \cdot \left(\left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot \frac{e^{\left(z + -1\right) + -6.5}}{\sin \left(\pi \cdot z\right)}\right) \cdot \left(0.9999999999998099 + \left(\frac{676.5203681218851}{1 - z} + \left(\left(\frac{12.507343278686905}{5 - z} + \left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \frac{1.5056327351493116 \cdot 10^{-7}}{8 - z}\right)\right) + \left(\frac{-1259.1392167224028}{2 - z} + \left(\frac{771.3234287776531}{3 - z} - \left(\frac{-0.13857109526572012}{z - 6} + \frac{-176.6150291621406}{z - 4}\right)\right)\right)\right)\right)\right)\right)\right)
\end{array}
Initial program 96.1%
Simplified97.8%
Applied egg-rr98.0%
Applied egg-rr98.0%
*-lft-identity98.0%
associate-+l+97.3%
associate-+l+98.0%
+-commutative98.0%
Simplified98.0%
*-un-lft-identity98.0%
associate--r-98.0%
associate--r-98.0%
associate--r-98.0%
Applied egg-rr98.0%
*-lft-identity98.0%
associate-+r+98.0%
+-commutative98.0%
associate-+l+98.0%
+-commutative98.0%
associate-+r-98.0%
metadata-eval98.0%
+-commutative98.0%
associate-+r-98.0%
metadata-eval98.0%
+-commutative98.0%
associate-+r-98.0%
metadata-eval98.0%
+-commutative98.0%
associate-+r-98.0%
Simplified98.0%
Applied egg-rr97.6%
Simplified97.7%
Final simplification97.7%
(FPCore (z)
:precision binary64
(*
(sqrt (* PI 2.0))
(*
(* (* (pow (- 7.5 z) (- 0.5 z)) (exp (+ z -7.5))) (/ PI (sin (* PI z))))
(+
(/ 9.984369578019572e-6 (- 7.0 z))
(+
(/ 1.5056327351493116e-7 (- 8.0 z))
(-
(/ 676.5203681218851 (- 1.0 z))
(-
(+
(/ -0.13857109526572012 (- z 6.0))
(+ (/ 12.507343278686905 (- z 5.0)) (/ -176.6150291621406 (- z 4.0))))
(+
(/ -1259.1392167224028 (- 2.0 z))
(- 0.9999999999998099 (/ 771.3234287776531 (- z 3.0)))))))))))
double code(double z) {
return sqrt((((double) M_PI) * 2.0)) * (((pow((7.5 - z), (0.5 - z)) * exp((z + -7.5))) * (((double) M_PI) / sin((((double) M_PI) * z)))) * ((9.984369578019572e-6 / (7.0 - z)) + ((1.5056327351493116e-7 / (8.0 - z)) + ((676.5203681218851 / (1.0 - z)) - (((-0.13857109526572012 / (z - 6.0)) + ((12.507343278686905 / (z - 5.0)) + (-176.6150291621406 / (z - 4.0)))) - ((-1259.1392167224028 / (2.0 - z)) + (0.9999999999998099 - (771.3234287776531 / (z - 3.0)))))))));
}
public static double code(double z) {
return Math.sqrt((Math.PI * 2.0)) * (((Math.pow((7.5 - z), (0.5 - z)) * Math.exp((z + -7.5))) * (Math.PI / Math.sin((Math.PI * z)))) * ((9.984369578019572e-6 / (7.0 - z)) + ((1.5056327351493116e-7 / (8.0 - z)) + ((676.5203681218851 / (1.0 - z)) - (((-0.13857109526572012 / (z - 6.0)) + ((12.507343278686905 / (z - 5.0)) + (-176.6150291621406 / (z - 4.0)))) - ((-1259.1392167224028 / (2.0 - z)) + (0.9999999999998099 - (771.3234287776531 / (z - 3.0)))))))));
}
def code(z): return math.sqrt((math.pi * 2.0)) * (((math.pow((7.5 - z), (0.5 - z)) * math.exp((z + -7.5))) * (math.pi / math.sin((math.pi * z)))) * ((9.984369578019572e-6 / (7.0 - z)) + ((1.5056327351493116e-7 / (8.0 - z)) + ((676.5203681218851 / (1.0 - z)) - (((-0.13857109526572012 / (z - 6.0)) + ((12.507343278686905 / (z - 5.0)) + (-176.6150291621406 / (z - 4.0)))) - ((-1259.1392167224028 / (2.0 - z)) + (0.9999999999998099 - (771.3234287776531 / (z - 3.0)))))))))
function code(z) return Float64(sqrt(Float64(pi * 2.0)) * Float64(Float64(Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * exp(Float64(z + -7.5))) * Float64(pi / sin(Float64(pi * z)))) * Float64(Float64(9.984369578019572e-6 / Float64(7.0 - z)) + Float64(Float64(1.5056327351493116e-7 / Float64(8.0 - z)) + Float64(Float64(676.5203681218851 / Float64(1.0 - z)) - Float64(Float64(Float64(-0.13857109526572012 / Float64(z - 6.0)) + Float64(Float64(12.507343278686905 / Float64(z - 5.0)) + Float64(-176.6150291621406 / Float64(z - 4.0)))) - Float64(Float64(-1259.1392167224028 / Float64(2.0 - z)) + Float64(0.9999999999998099 - Float64(771.3234287776531 / Float64(z - 3.0)))))))))) end
function tmp = code(z) tmp = sqrt((pi * 2.0)) * (((((7.5 - z) ^ (0.5 - z)) * exp((z + -7.5))) * (pi / sin((pi * z)))) * ((9.984369578019572e-6 / (7.0 - z)) + ((1.5056327351493116e-7 / (8.0 - z)) + ((676.5203681218851 / (1.0 - z)) - (((-0.13857109526572012 / (z - 6.0)) + ((12.507343278686905 / (z - 5.0)) + (-176.6150291621406 / (z - 4.0)))) - ((-1259.1392167224028 / (2.0 - z)) + (0.9999999999998099 - (771.3234287776531 / (z - 3.0))))))))); end
code[z_] := N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[(N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(9.984369578019572e-6 / N[(7.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(1.5056327351493116e-7 / N[(8.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] - N[(N[(N[(-0.13857109526572012 / N[(z - 6.0), $MachinePrecision]), $MachinePrecision] + N[(N[(12.507343278686905 / N[(z - 5.0), $MachinePrecision]), $MachinePrecision] + N[(-176.6150291621406 / N[(z - 4.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision] + N[(0.9999999999998099 - N[(771.3234287776531 / N[(z - 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt{\pi \cdot 2} \cdot \left(\left(\left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot e^{z + -7.5}\right) \cdot \frac{\pi}{\sin \left(\pi \cdot z\right)}\right) \cdot \left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \left(\frac{1.5056327351493116 \cdot 10^{-7}}{8 - z} + \left(\frac{676.5203681218851}{1 - z} - \left(\left(\frac{-0.13857109526572012}{z - 6} + \left(\frac{12.507343278686905}{z - 5} + \frac{-176.6150291621406}{z - 4}\right)\right) - \left(\frac{-1259.1392167224028}{2 - z} + \left(0.9999999999998099 - \frac{771.3234287776531}{z - 3}\right)\right)\right)\right)\right)\right)\right)
\end{array}
Initial program 96.1%
Simplified96.5%
pow196.5%
Applied egg-rr96.4%
Simplified97.7%
Final simplification97.7%
(FPCore (z)
:precision binary64
(*
(*
(sqrt (* PI 2.0))
(* (pow (+ (- 1.0 z) 6.5) (+ (- 1.0 z) -0.5)) (* (+ 1.0 z) (exp -7.5))))
(*
(/ PI (sin (* PI z)))
(+
263.3831869810514
(*
z
(+
436.8961725563396
(* z (+ 545.0353078428827 (* z 606.6766809167608)))))))))
double code(double z) {
return (sqrt((((double) M_PI) * 2.0)) * (pow(((1.0 - z) + 6.5), ((1.0 - z) + -0.5)) * ((1.0 + z) * exp(-7.5)))) * ((((double) M_PI) / sin((((double) M_PI) * z))) * (263.3831869810514 + (z * (436.8961725563396 + (z * (545.0353078428827 + (z * 606.6766809167608)))))));
}
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)) * ((1.0 + z) * Math.exp(-7.5)))) * ((Math.PI / Math.sin((Math.PI * z))) * (263.3831869810514 + (z * (436.8961725563396 + (z * (545.0353078428827 + (z * 606.6766809167608)))))));
}
def code(z): return (math.sqrt((math.pi * 2.0)) * (math.pow(((1.0 - z) + 6.5), ((1.0 - z) + -0.5)) * ((1.0 + z) * math.exp(-7.5)))) * ((math.pi / math.sin((math.pi * z))) * (263.3831869810514 + (z * (436.8961725563396 + (z * (545.0353078428827 + (z * 606.6766809167608)))))))
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)) * Float64(Float64(1.0 + z) * exp(-7.5)))) * Float64(Float64(pi / sin(Float64(pi * z))) * Float64(263.3831869810514 + Float64(z * Float64(436.8961725563396 + Float64(z * Float64(545.0353078428827 + Float64(z * 606.6766809167608)))))))) end
function tmp = code(z) tmp = (sqrt((pi * 2.0)) * ((((1.0 - z) + 6.5) ^ ((1.0 - z) + -0.5)) * ((1.0 + z) * exp(-7.5)))) * ((pi / sin((pi * z))) * (263.3831869810514 + (z * (436.8961725563396 + (z * (545.0353078428827 + (z * 606.6766809167608))))))); 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[(N[(1.0 + z), $MachinePrecision] * N[Exp[-7.5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(263.3831869810514 + N[(z * N[(436.8961725563396 + N[(z * N[(545.0353078428827 + N[(z * 606.6766809167608), $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 \left(\left(1 + z\right) \cdot e^{-7.5}\right)\right)\right) \cdot \left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(263.3831869810514 + z \cdot \left(436.8961725563396 + z \cdot \left(545.0353078428827 + z \cdot 606.6766809167608\right)\right)\right)\right)
\end{array}
Initial program 96.1%
Simplified96.3%
Taylor expanded in z around 0 95.9%
*-commutative95.9%
Simplified95.9%
Taylor expanded in z around 0 96.8%
distribute-rgt1-in96.8%
Simplified96.8%
Final simplification96.8%
(FPCore (z)
:precision binary64
(*
(*
(/ PI (sin (* PI z)))
(+
263.3831869810514
(*
z
(+
436.8961725563396
(* z (+ 545.0353078428827 (* z 606.6766809167608)))))))
(*
(sqrt (* PI 2.0))
(* (pow (+ (- 1.0 z) 6.5) (+ (- 1.0 z) -0.5)) (exp (- z 7.5))))))
double code(double z) {
return ((((double) M_PI) / sin((((double) M_PI) * z))) * (263.3831869810514 + (z * (436.8961725563396 + (z * (545.0353078428827 + (z * 606.6766809167608))))))) * (sqrt((((double) M_PI) * 2.0)) * (pow(((1.0 - z) + 6.5), ((1.0 - z) + -0.5)) * exp((z - 7.5))));
}
public static double code(double z) {
return ((Math.PI / Math.sin((Math.PI * z))) * (263.3831869810514 + (z * (436.8961725563396 + (z * (545.0353078428827 + (z * 606.6766809167608))))))) * (Math.sqrt((Math.PI * 2.0)) * (Math.pow(((1.0 - z) + 6.5), ((1.0 - z) + -0.5)) * Math.exp((z - 7.5))));
}
def code(z): return ((math.pi / math.sin((math.pi * z))) * (263.3831869810514 + (z * (436.8961725563396 + (z * (545.0353078428827 + (z * 606.6766809167608))))))) * (math.sqrt((math.pi * 2.0)) * (math.pow(((1.0 - z) + 6.5), ((1.0 - z) + -0.5)) * math.exp((z - 7.5))))
function code(z) return Float64(Float64(Float64(pi / sin(Float64(pi * z))) * Float64(263.3831869810514 + Float64(z * Float64(436.8961725563396 + Float64(z * Float64(545.0353078428827 + Float64(z * 606.6766809167608))))))) * Float64(sqrt(Float64(pi * 2.0)) * Float64((Float64(Float64(1.0 - z) + 6.5) ^ Float64(Float64(1.0 - z) + -0.5)) * exp(Float64(z - 7.5))))) end
function tmp = code(z) tmp = ((pi / sin((pi * z))) * (263.3831869810514 + (z * (436.8961725563396 + (z * (545.0353078428827 + (z * 606.6766809167608))))))) * (sqrt((pi * 2.0)) * ((((1.0 - z) + 6.5) ^ ((1.0 - z) + -0.5)) * exp((z - 7.5)))); end
code[z_] := N[(N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(263.3831869810514 + N[(z * N[(436.8961725563396 + N[(z * N[(545.0353078428827 + N[(z * 606.6766809167608), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 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[(z - 7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(263.3831869810514 + z \cdot \left(436.8961725563396 + z \cdot \left(545.0353078428827 + z \cdot 606.6766809167608\right)\right)\right)\right) \cdot \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^{z - 7.5}\right)\right)
\end{array}
Initial program 96.1%
Simplified96.3%
Taylor expanded in z around 0 95.9%
*-commutative95.9%
Simplified95.9%
Taylor expanded in z around inf 95.9%
Final simplification95.9%
(FPCore (z)
:precision binary64
(*
(*
(/ PI (sin (* PI z)))
(+
263.3831869810514
(*
z
(+
436.8961725563396
(* z (+ 545.0353078428827 (* z 606.6766809167608)))))))
(*
(sqrt (* PI 2.0))
(* (exp (+ (+ z -1.0) -6.5)) (pow (- 7.5 z) (- 0.5 z))))))
double code(double z) {
return ((((double) M_PI) / sin((((double) M_PI) * z))) * (263.3831869810514 + (z * (436.8961725563396 + (z * (545.0353078428827 + (z * 606.6766809167608))))))) * (sqrt((((double) M_PI) * 2.0)) * (exp(((z + -1.0) + -6.5)) * pow((7.5 - z), (0.5 - z))));
}
public static double code(double z) {
return ((Math.PI / Math.sin((Math.PI * z))) * (263.3831869810514 + (z * (436.8961725563396 + (z * (545.0353078428827 + (z * 606.6766809167608))))))) * (Math.sqrt((Math.PI * 2.0)) * (Math.exp(((z + -1.0) + -6.5)) * Math.pow((7.5 - z), (0.5 - z))));
}
def code(z): return ((math.pi / math.sin((math.pi * z))) * (263.3831869810514 + (z * (436.8961725563396 + (z * (545.0353078428827 + (z * 606.6766809167608))))))) * (math.sqrt((math.pi * 2.0)) * (math.exp(((z + -1.0) + -6.5)) * math.pow((7.5 - z), (0.5 - z))))
function code(z) return Float64(Float64(Float64(pi / sin(Float64(pi * z))) * Float64(263.3831869810514 + Float64(z * Float64(436.8961725563396 + Float64(z * Float64(545.0353078428827 + Float64(z * 606.6766809167608))))))) * Float64(sqrt(Float64(pi * 2.0)) * Float64(exp(Float64(Float64(z + -1.0) + -6.5)) * (Float64(7.5 - z) ^ Float64(0.5 - z))))) end
function tmp = code(z) tmp = ((pi / sin((pi * z))) * (263.3831869810514 + (z * (436.8961725563396 + (z * (545.0353078428827 + (z * 606.6766809167608))))))) * (sqrt((pi * 2.0)) * (exp(((z + -1.0) + -6.5)) * ((7.5 - z) ^ (0.5 - z)))); end
code[z_] := N[(N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(263.3831869810514 + N[(z * N[(436.8961725563396 + N[(z * N[(545.0353078428827 + N[(z * 606.6766809167608), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[Exp[N[(N[(z + -1.0), $MachinePrecision] + -6.5), $MachinePrecision]], $MachinePrecision] * N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(263.3831869810514 + z \cdot \left(436.8961725563396 + z \cdot \left(545.0353078428827 + z \cdot 606.6766809167608\right)\right)\right)\right) \cdot \left(\sqrt{\pi \cdot 2} \cdot \left(e^{\left(z + -1\right) + -6.5} \cdot {\left(7.5 - z\right)}^{\left(0.5 - z\right)}\right)\right)
\end{array}
Initial program 96.1%
Simplified96.3%
Taylor expanded in z around 0 95.9%
*-commutative95.9%
Simplified95.9%
pow195.9%
distribute-neg-in95.9%
metadata-eval95.9%
Applied egg-rr95.9%
unpow195.9%
+-commutative95.9%
metadata-eval95.9%
associate-+r+95.9%
associate-+r-95.9%
metadata-eval95.9%
neg-sub095.9%
sub-neg95.9%
+-commutative95.9%
metadata-eval95.9%
associate-+r+95.9%
associate-+r-95.9%
metadata-eval95.9%
neg-sub095.9%
sub-neg95.9%
Simplified95.9%
Final simplification95.9%
(FPCore (z)
:precision binary64
(*
(/
(*
PI
(*
(sqrt (* PI 2.0))
(* (exp (+ (+ z -1.0) -6.5)) (pow (- 7.5 z) (- 0.5 z)))))
(sin (* PI z)))
(+ 263.3831869810514 (* z (+ 436.8961725563396 (* z 545.0353078428827))))))
double code(double z) {
return ((((double) M_PI) * (sqrt((((double) M_PI) * 2.0)) * (exp(((z + -1.0) + -6.5)) * pow((7.5 - z), (0.5 - z))))) / sin((((double) M_PI) * z))) * (263.3831869810514 + (z * (436.8961725563396 + (z * 545.0353078428827))));
}
public static double code(double z) {
return ((Math.PI * (Math.sqrt((Math.PI * 2.0)) * (Math.exp(((z + -1.0) + -6.5)) * Math.pow((7.5 - z), (0.5 - z))))) / Math.sin((Math.PI * z))) * (263.3831869810514 + (z * (436.8961725563396 + (z * 545.0353078428827))));
}
def code(z): return ((math.pi * (math.sqrt((math.pi * 2.0)) * (math.exp(((z + -1.0) + -6.5)) * math.pow((7.5 - z), (0.5 - z))))) / math.sin((math.pi * z))) * (263.3831869810514 + (z * (436.8961725563396 + (z * 545.0353078428827))))
function code(z) return Float64(Float64(Float64(pi * Float64(sqrt(Float64(pi * 2.0)) * Float64(exp(Float64(Float64(z + -1.0) + -6.5)) * (Float64(7.5 - z) ^ Float64(0.5 - z))))) / sin(Float64(pi * z))) * Float64(263.3831869810514 + Float64(z * Float64(436.8961725563396 + Float64(z * 545.0353078428827))))) end
function tmp = code(z) tmp = ((pi * (sqrt((pi * 2.0)) * (exp(((z + -1.0) + -6.5)) * ((7.5 - z) ^ (0.5 - z))))) / sin((pi * z))) * (263.3831869810514 + (z * (436.8961725563396 + (z * 545.0353078428827)))); end
code[z_] := N[(N[(N[(Pi * N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[Exp[N[(N[(z + -1.0), $MachinePrecision] + -6.5), $MachinePrecision]], $MachinePrecision] * N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(263.3831869810514 + N[(z * N[(436.8961725563396 + N[(z * 545.0353078428827), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\pi \cdot \left(\sqrt{\pi \cdot 2} \cdot \left(e^{\left(z + -1\right) + -6.5} \cdot {\left(7.5 - z\right)}^{\left(0.5 - z\right)}\right)\right)}{\sin \left(\pi \cdot z\right)} \cdot \left(263.3831869810514 + z \cdot \left(436.8961725563396 + z \cdot 545.0353078428827\right)\right)
\end{array}
Initial program 96.1%
Simplified97.8%
Applied egg-rr98.0%
Taylor expanded in z around inf 98.0%
exp-to-pow98.0%
Simplified98.0%
Taylor expanded in z around 0 95.7%
*-commutative95.7%
Simplified95.7%
Final simplification95.7%
(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)))) (/ (+ 263.3831869810514 (* z 436.8961725563396)) z)))
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)))) * ((263.3831869810514 + (z * 436.8961725563396)) / z);
}
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)))) * ((263.3831869810514 + (z * 436.8961725563396)) / z);
}
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)))) * ((263.3831869810514 + (z * 436.8961725563396)) / z)
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(263.3831869810514 + Float64(z * 436.8961725563396)) / z)) 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)))) * ((263.3831869810514 + (z * 436.8961725563396)) / z); 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[(263.3831869810514 + N[(z * 436.8961725563396), $MachinePrecision]), $MachinePrecision] / z), $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 \frac{263.3831869810514 + z \cdot 436.8961725563396}{z}
\end{array}
Initial program 96.1%
Simplified96.3%
Taylor expanded in z around 0 95.6%
*-commutative95.6%
Simplified95.6%
Final simplification95.6%
(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)))) (/ (+ 263.3831869810514 (* z 436.3997278161676)) z)))
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)))) * ((263.3831869810514 + (z * 436.3997278161676)) / z);
}
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)))) * ((263.3831869810514 + (z * 436.3997278161676)) / z);
}
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)))) * ((263.3831869810514 + (z * 436.3997278161676)) / z)
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(263.3831869810514 + Float64(z * 436.3997278161676)) / z)) 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)))) * ((263.3831869810514 + (z * 436.3997278161676)) / z); 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[(263.3831869810514 + N[(z * 436.3997278161676), $MachinePrecision]), $MachinePrecision] / z), $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 \frac{263.3831869810514 + z \cdot 436.3997278161676}{z}
\end{array}
Initial program 96.1%
Simplified96.3%
Taylor expanded in z around 0 93.9%
Taylor expanded in z around 0 94.9%
*-commutative94.9%
Simplified94.9%
Final simplification94.9%
(FPCore (z) :precision binary64 (* (* (sqrt (* PI 2.0)) (* (+ 1.0 z) (* (exp -7.5) (sqrt 7.5)))) (/ 263.3831869810514 z)))
double code(double z) {
return (sqrt((((double) M_PI) * 2.0)) * ((1.0 + z) * (exp(-7.5) * sqrt(7.5)))) * (263.3831869810514 / z);
}
public static double code(double z) {
return (Math.sqrt((Math.PI * 2.0)) * ((1.0 + z) * (Math.exp(-7.5) * Math.sqrt(7.5)))) * (263.3831869810514 / z);
}
def code(z): return (math.sqrt((math.pi * 2.0)) * ((1.0 + z) * (math.exp(-7.5) * math.sqrt(7.5)))) * (263.3831869810514 / z)
function code(z) return Float64(Float64(sqrt(Float64(pi * 2.0)) * Float64(Float64(1.0 + z) * Float64(exp(-7.5) * sqrt(7.5)))) * Float64(263.3831869810514 / z)) end
function tmp = code(z) tmp = (sqrt((pi * 2.0)) * ((1.0 + z) * (exp(-7.5) * sqrt(7.5)))) * (263.3831869810514 / z); end
code[z_] := N[(N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[(1.0 + z), $MachinePrecision] * N[(N[Exp[-7.5], $MachinePrecision] * N[Sqrt[7.5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(263.3831869810514 / z), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\sqrt{\pi \cdot 2} \cdot \left(\left(1 + z\right) \cdot \left(e^{-7.5} \cdot \sqrt{7.5}\right)\right)\right) \cdot \frac{263.3831869810514}{z}
\end{array}
Initial program 96.1%
Simplified96.3%
Taylor expanded in z around 0 94.0%
Taylor expanded in z around 0 94.2%
Taylor expanded in z around 0 94.3%
distribute-lft1-in94.3%
Simplified94.3%
Final simplification94.3%
(FPCore (z) :precision binary64 (* (sqrt (* PI 2.0)) (* (sqrt 7.5) (* (exp (+ z -7.5)) (/ 263.3831869810514 z)))))
double code(double z) {
return sqrt((((double) M_PI) * 2.0)) * (sqrt(7.5) * (exp((z + -7.5)) * (263.3831869810514 / z)));
}
public static double code(double z) {
return Math.sqrt((Math.PI * 2.0)) * (Math.sqrt(7.5) * (Math.exp((z + -7.5)) * (263.3831869810514 / z)));
}
def code(z): return math.sqrt((math.pi * 2.0)) * (math.sqrt(7.5) * (math.exp((z + -7.5)) * (263.3831869810514 / z)))
function code(z) return Float64(sqrt(Float64(pi * 2.0)) * Float64(sqrt(7.5) * Float64(exp(Float64(z + -7.5)) * Float64(263.3831869810514 / z)))) end
function tmp = code(z) tmp = sqrt((pi * 2.0)) * (sqrt(7.5) * (exp((z + -7.5)) * (263.3831869810514 / z))); end
code[z_] := N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[Sqrt[7.5], $MachinePrecision] * N[(N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision] * N[(263.3831869810514 / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt{\pi \cdot 2} \cdot \left(\sqrt{7.5} \cdot \left(e^{z + -7.5} \cdot \frac{263.3831869810514}{z}\right)\right)
\end{array}
Initial program 96.1%
Simplified96.3%
Taylor expanded in z around 0 94.0%
Taylor expanded in z around 0 94.2%
associate-*r/93.8%
distribute-neg-in93.8%
metadata-eval93.8%
neg-mul-193.8%
fma-define93.8%
Applied egg-rr93.8%
associate-/l*94.2%
associate-*r*94.3%
*-commutative94.3%
associate-*l*94.2%
Simplified94.2%
Final simplification94.2%
(FPCore (z) :precision binary64 (* (sqrt (* PI 2.0)) (* (sqrt 7.5) (* (exp -7.5) (/ 263.3831869810514 z)))))
double code(double z) {
return sqrt((((double) M_PI) * 2.0)) * (sqrt(7.5) * (exp(-7.5) * (263.3831869810514 / z)));
}
public static double code(double z) {
return Math.sqrt((Math.PI * 2.0)) * (Math.sqrt(7.5) * (Math.exp(-7.5) * (263.3831869810514 / z)));
}
def code(z): return math.sqrt((math.pi * 2.0)) * (math.sqrt(7.5) * (math.exp(-7.5) * (263.3831869810514 / z)))
function code(z) return Float64(sqrt(Float64(pi * 2.0)) * Float64(sqrt(7.5) * Float64(exp(-7.5) * Float64(263.3831869810514 / z)))) end
function tmp = code(z) tmp = sqrt((pi * 2.0)) * (sqrt(7.5) * (exp(-7.5) * (263.3831869810514 / z))); end
code[z_] := N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[Sqrt[7.5], $MachinePrecision] * N[(N[Exp[-7.5], $MachinePrecision] * N[(263.3831869810514 / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt{\pi \cdot 2} \cdot \left(\sqrt{7.5} \cdot \left(e^{-7.5} \cdot \frac{263.3831869810514}{z}\right)\right)
\end{array}
Initial program 96.1%
Simplified96.3%
Taylor expanded in z around 0 94.0%
Taylor expanded in z around 0 94.2%
Taylor expanded in z around 0 94.1%
associate-*r/93.8%
Applied egg-rr93.8%
associate-/l*94.1%
associate-*r*94.3%
*-commutative94.3%
associate-*l*94.1%
Simplified94.1%
Final simplification94.1%
(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 96.1%
Simplified96.3%
Taylor expanded in z around 0 94.0%
Taylor expanded in z around 0 94.2%
Taylor expanded in z around 0 94.1%
associate-*r/93.8%
Applied egg-rr93.8%
*-commutative93.8%
associate-/l*94.1%
*-commutative94.1%
*-commutative94.1%
associate-*l*94.1%
*-commutative94.1%
Simplified94.1%
Final simplification94.1%
herbie shell --seed 2024144
(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))))))