
(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
(let* ((t_0 (/ 771.3234287776531 (- 3.0 z))))
(*
(sqrt (* PI 2.0))
(*
(*
(+
(+
(+ 0.9999999999998099 (/ 676.5203681218851 (- 1.0 z)))
(+
(/ -1259.1392167224028 (- 2.0 z))
(+
(cbrt (* t_0 (* t_0 t_0)))
(+
(/ -176.6150291621406 (- 4.0 z))
(/ 12.507343278686905 (- 5.0 z))))))
(+
(/ -0.13857109526572012 (- 6.0 z))
(+
(/ 9.984369578019572e-6 (- 7.0 z))
(/ 1.5056327351493116e-7 (- 8.0 z)))))
(exp (+ (+ z -7.5) (* (- 0.5 z) (log (- 7.5 z))))))
(/ PI (sin (* PI z)))))))
double code(double z) {
double t_0 = 771.3234287776531 / (3.0 - z);
return sqrt((((double) M_PI) * 2.0)) * (((((0.9999999999998099 + (676.5203681218851 / (1.0 - z))) + ((-1259.1392167224028 / (2.0 - z)) + (cbrt((t_0 * (t_0 * t_0))) + ((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z)))))) + ((-0.13857109526572012 / (6.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))))) * exp(((z + -7.5) + ((0.5 - z) * log((7.5 - z)))))) * (((double) M_PI) / sin((((double) M_PI) * z))));
}
public static double code(double z) {
double t_0 = 771.3234287776531 / (3.0 - z);
return Math.sqrt((Math.PI * 2.0)) * (((((0.9999999999998099 + (676.5203681218851 / (1.0 - z))) + ((-1259.1392167224028 / (2.0 - z)) + (Math.cbrt((t_0 * (t_0 * t_0))) + ((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z)))))) + ((-0.13857109526572012 / (6.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))))) * Math.exp(((z + -7.5) + ((0.5 - z) * Math.log((7.5 - z)))))) * (Math.PI / Math.sin((Math.PI * z))));
}
function code(z) t_0 = Float64(771.3234287776531 / Float64(3.0 - z)) return Float64(sqrt(Float64(pi * 2.0)) * Float64(Float64(Float64(Float64(Float64(0.9999999999998099 + Float64(676.5203681218851 / Float64(1.0 - z))) + Float64(Float64(-1259.1392167224028 / Float64(2.0 - z)) + Float64(cbrt(Float64(t_0 * Float64(t_0 * t_0))) + Float64(Float64(-176.6150291621406 / Float64(4.0 - z)) + Float64(12.507343278686905 / Float64(5.0 - z)))))) + Float64(Float64(-0.13857109526572012 / Float64(6.0 - z)) + Float64(Float64(9.984369578019572e-6 / Float64(7.0 - z)) + Float64(1.5056327351493116e-7 / Float64(8.0 - z))))) * exp(Float64(Float64(z + -7.5) + Float64(Float64(0.5 - z) * log(Float64(7.5 - z)))))) * Float64(pi / sin(Float64(pi * z))))) end
code[z_] := Block[{t$95$0 = N[(771.3234287776531 / N[(3.0 - z), $MachinePrecision]), $MachinePrecision]}, N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[(N[(N[(N[(0.9999999999998099 + N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[Power[N[(t$95$0 * N[(t$95$0 * t$95$0), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision] + N[(N[(-176.6150291621406 / N[(4.0 - z), $MachinePrecision]), $MachinePrecision] + N[(12.507343278686905 / N[(5.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(-0.13857109526572012 / N[(6.0 - 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[Exp[N[(N[(z + -7.5), $MachinePrecision] + N[(N[(0.5 - z), $MachinePrecision] * N[Log[N[(7.5 - z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{771.3234287776531}{3 - z}\\
\sqrt{\pi \cdot 2} \cdot \left(\left(\left(\left(\left(0.9999999999998099 + \frac{676.5203681218851}{1 - z}\right) + \left(\frac{-1259.1392167224028}{2 - z} + \left(\sqrt[3]{t_0 \cdot \left(t_0 \cdot t_0\right)} + \left(\frac{-176.6150291621406}{4 - z} + \frac{12.507343278686905}{5 - z}\right)\right)\right)\right) + \left(\frac{-0.13857109526572012}{6 - z} + \left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \frac{1.5056327351493116 \cdot 10^{-7}}{8 - z}\right)\right)\right) \cdot e^{\left(z + -7.5\right) + \left(0.5 - z\right) \cdot \log \left(7.5 - z\right)}\right) \cdot \frac{\pi}{\sin \left(\pi \cdot z\right)}\right)
\end{array}
\end{array}
Initial program 95.5%
Simplified97.1%
add-exp-log97.2%
*-commutative97.2%
+-commutative97.2%
sub-neg97.2%
log-prod97.2%
add-log-exp99.2%
sub-neg99.2%
+-commutative99.2%
log-pow99.2%
+-commutative99.2%
sub-neg99.2%
Applied egg-rr99.2%
add-cbrt-cube99.2%
Applied egg-rr99.2%
Final simplification99.2%
(FPCore (z)
:precision binary64
(*
(sqrt (* PI 2.0))
(*
(/ PI (sin (* PI z)))
(*
(+
(+
(/ -0.13857109526572012 (- 6.0 z))
(+
(/ 9.984369578019572e-6 (- 7.0 z))
(/ 1.5056327351493116e-7 (- 8.0 z))))
(+
(+ 0.9999999999998099 (/ 676.5203681218851 (- 1.0 z)))
(+
(/ -1259.1392167224028 (- 2.0 z))
(+
(/ 771.3234287776531 (- 3.0 z))
(+
(/ -176.6150291621406 (- 4.0 z))
(/ 12.507343278686905 (- 5.0 z)))))))
(exp (- (+ z (* (- 0.5 z) (log (- 7.5 z)))) 7.5))))))
double code(double z) {
return sqrt((((double) M_PI) * 2.0)) * ((((double) M_PI) / sin((((double) M_PI) * z))) * ((((-0.13857109526572012 / (6.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z)))) + ((0.9999999999998099 + (676.5203681218851 / (1.0 - z))) + ((-1259.1392167224028 / (2.0 - z)) + ((771.3234287776531 / (3.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z))))))) * exp(((z + ((0.5 - z) * log((7.5 - z)))) - 7.5))));
}
public static double code(double z) {
return Math.sqrt((Math.PI * 2.0)) * ((Math.PI / Math.sin((Math.PI * z))) * ((((-0.13857109526572012 / (6.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z)))) + ((0.9999999999998099 + (676.5203681218851 / (1.0 - z))) + ((-1259.1392167224028 / (2.0 - z)) + ((771.3234287776531 / (3.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z))))))) * Math.exp(((z + ((0.5 - z) * Math.log((7.5 - z)))) - 7.5))));
}
def code(z): return math.sqrt((math.pi * 2.0)) * ((math.pi / math.sin((math.pi * z))) * ((((-0.13857109526572012 / (6.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z)))) + ((0.9999999999998099 + (676.5203681218851 / (1.0 - z))) + ((-1259.1392167224028 / (2.0 - z)) + ((771.3234287776531 / (3.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z))))))) * math.exp(((z + ((0.5 - z) * math.log((7.5 - z)))) - 7.5))))
function code(z) return Float64(sqrt(Float64(pi * 2.0)) * Float64(Float64(pi / sin(Float64(pi * z))) * Float64(Float64(Float64(Float64(-0.13857109526572012 / Float64(6.0 - z)) + Float64(Float64(9.984369578019572e-6 / Float64(7.0 - z)) + Float64(1.5056327351493116e-7 / Float64(8.0 - z)))) + Float64(Float64(0.9999999999998099 + Float64(676.5203681218851 / Float64(1.0 - z))) + Float64(Float64(-1259.1392167224028 / Float64(2.0 - z)) + Float64(Float64(771.3234287776531 / Float64(3.0 - z)) + Float64(Float64(-176.6150291621406 / Float64(4.0 - z)) + Float64(12.507343278686905 / Float64(5.0 - z))))))) * exp(Float64(Float64(z + Float64(Float64(0.5 - z) * log(Float64(7.5 - z)))) - 7.5))))) end
function tmp = code(z) tmp = sqrt((pi * 2.0)) * ((pi / sin((pi * z))) * ((((-0.13857109526572012 / (6.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z)))) + ((0.9999999999998099 + (676.5203681218851 / (1.0 - z))) + ((-1259.1392167224028 / (2.0 - z)) + ((771.3234287776531 / (3.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z))))))) * exp(((z + ((0.5 - z) * log((7.5 - z)))) - 7.5)))); end
code[z_] := N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(-0.13857109526572012 / N[(6.0 - 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[(0.9999999999998099 + N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(771.3234287776531 / N[(3.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(-176.6150291621406 / N[(4.0 - z), $MachinePrecision]), $MachinePrecision] + N[(12.507343278686905 / N[(5.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Exp[N[(N[(z + N[(N[(0.5 - z), $MachinePrecision] * N[Log[N[(7.5 - z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt{\pi \cdot 2} \cdot \left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\frac{-0.13857109526572012}{6 - z} + \left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \frac{1.5056327351493116 \cdot 10^{-7}}{8 - z}\right)\right) + \left(\left(0.9999999999998099 + \frac{676.5203681218851}{1 - z}\right) + \left(\frac{-1259.1392167224028}{2 - z} + \left(\frac{771.3234287776531}{3 - z} + \left(\frac{-176.6150291621406}{4 - z} + \frac{12.507343278686905}{5 - z}\right)\right)\right)\right)\right) \cdot e^{\left(z + \left(0.5 - z\right) \cdot \log \left(7.5 - z\right)\right) - 7.5}\right)\right)
\end{array}
Initial program 95.5%
Simplified97.1%
add-exp-log97.2%
*-commutative97.2%
+-commutative97.2%
sub-neg97.2%
log-prod97.2%
add-log-exp99.2%
sub-neg99.2%
+-commutative99.2%
log-pow99.2%
+-commutative99.2%
sub-neg99.2%
Applied egg-rr99.2%
Taylor expanded in z around inf 99.2%
Final simplification99.2%
(FPCore (z)
:precision binary64
(*
(sqrt (* PI 2.0))
(*
(/ PI (sin (* PI z)))
(*
(exp (+ (+ z -7.5) (* (- 0.5 z) (log (- 7.5 z)))))
(+
(+
(/ -0.13857109526572012 (- 6.0 z))
(+
(/ 9.984369578019572e-6 (- 7.0 z))
(/ 1.5056327351493116e-7 (- 8.0 z))))
(+
(+ 0.9999999999998099 (/ 676.5203681218851 (- 1.0 z)))
(+
(/ -1259.1392167224028 (- 2.0 z))
(+
(/ 771.3234287776531 (- 3.0 z))
(+
(/ -176.6150291621406 (- 4.0 z))
(/ 12.507343278686905 (- 5.0 z)))))))))))
double code(double z) {
return sqrt((((double) M_PI) * 2.0)) * ((((double) M_PI) / sin((((double) M_PI) * z))) * (exp(((z + -7.5) + ((0.5 - z) * log((7.5 - z))))) * (((-0.13857109526572012 / (6.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z)))) + ((0.9999999999998099 + (676.5203681218851 / (1.0 - z))) + ((-1259.1392167224028 / (2.0 - z)) + ((771.3234287776531 / (3.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z)))))))));
}
public static double code(double z) {
return Math.sqrt((Math.PI * 2.0)) * ((Math.PI / Math.sin((Math.PI * z))) * (Math.exp(((z + -7.5) + ((0.5 - z) * Math.log((7.5 - z))))) * (((-0.13857109526572012 / (6.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z)))) + ((0.9999999999998099 + (676.5203681218851 / (1.0 - z))) + ((-1259.1392167224028 / (2.0 - z)) + ((771.3234287776531 / (3.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z)))))))));
}
def code(z): return math.sqrt((math.pi * 2.0)) * ((math.pi / math.sin((math.pi * z))) * (math.exp(((z + -7.5) + ((0.5 - z) * math.log((7.5 - z))))) * (((-0.13857109526572012 / (6.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z)))) + ((0.9999999999998099 + (676.5203681218851 / (1.0 - z))) + ((-1259.1392167224028 / (2.0 - z)) + ((771.3234287776531 / (3.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z)))))))))
function code(z) return Float64(sqrt(Float64(pi * 2.0)) * Float64(Float64(pi / sin(Float64(pi * z))) * Float64(exp(Float64(Float64(z + -7.5) + Float64(Float64(0.5 - z) * log(Float64(7.5 - z))))) * Float64(Float64(Float64(-0.13857109526572012 / Float64(6.0 - z)) + Float64(Float64(9.984369578019572e-6 / Float64(7.0 - z)) + Float64(1.5056327351493116e-7 / Float64(8.0 - z)))) + Float64(Float64(0.9999999999998099 + Float64(676.5203681218851 / Float64(1.0 - z))) + Float64(Float64(-1259.1392167224028 / Float64(2.0 - z)) + Float64(Float64(771.3234287776531 / Float64(3.0 - z)) + Float64(Float64(-176.6150291621406 / Float64(4.0 - z)) + Float64(12.507343278686905 / Float64(5.0 - z)))))))))) end
function tmp = code(z) tmp = sqrt((pi * 2.0)) * ((pi / sin((pi * z))) * (exp(((z + -7.5) + ((0.5 - z) * log((7.5 - z))))) * (((-0.13857109526572012 / (6.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z)))) + ((0.9999999999998099 + (676.5203681218851 / (1.0 - z))) + ((-1259.1392167224028 / (2.0 - z)) + ((771.3234287776531 / (3.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z))))))))); end
code[z_] := N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Exp[N[(N[(z + -7.5), $MachinePrecision] + N[(N[(0.5 - z), $MachinePrecision] * N[Log[N[(7.5 - z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(N[(N[(-0.13857109526572012 / N[(6.0 - 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[(0.9999999999998099 + N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(771.3234287776531 / N[(3.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(-176.6150291621406 / N[(4.0 - z), $MachinePrecision]), $MachinePrecision] + N[(12.507343278686905 / N[(5.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt{\pi \cdot 2} \cdot \left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(e^{\left(z + -7.5\right) + \left(0.5 - z\right) \cdot \log \left(7.5 - z\right)} \cdot \left(\left(\frac{-0.13857109526572012}{6 - z} + \left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \frac{1.5056327351493116 \cdot 10^{-7}}{8 - z}\right)\right) + \left(\left(0.9999999999998099 + \frac{676.5203681218851}{1 - z}\right) + \left(\frac{-1259.1392167224028}{2 - z} + \left(\frac{771.3234287776531}{3 - z} + \left(\frac{-176.6150291621406}{4 - z} + \frac{12.507343278686905}{5 - z}\right)\right)\right)\right)\right)\right)\right)
\end{array}
Initial program 95.5%
Simplified97.1%
add-exp-log97.2%
*-commutative97.2%
+-commutative97.2%
sub-neg97.2%
log-prod97.2%
add-log-exp99.2%
sub-neg99.2%
+-commutative99.2%
log-pow99.2%
+-commutative99.2%
sub-neg99.2%
Applied egg-rr99.2%
Final simplification99.2%
(FPCore (z)
:precision binary64
(*
(sqrt (* PI 2.0))
(*
(/ PI (sin (* PI z)))
(*
(exp (+ (+ z -7.5) (* (- 0.5 z) (log (- 7.5 z)))))
(+
(+
(/ -0.13857109526572012 (- 6.0 z))
(+
(/ 9.984369578019572e-6 (- 7.0 z))
(/ 1.5056327351493116e-7 (- 8.0 z))))
(+
(+ 0.9999999999998099 (/ 676.5203681218851 (- 1.0 z)))
(+
(/ -1259.1392167224028 (- 2.0 z))
(+
(/ 771.3234287776531 (- 3.0 z))
(- (* z -10.53814559148631) 41.65228863479777)))))))))
double code(double z) {
return sqrt((((double) M_PI) * 2.0)) * ((((double) M_PI) / sin((((double) M_PI) * z))) * (exp(((z + -7.5) + ((0.5 - z) * log((7.5 - z))))) * (((-0.13857109526572012 / (6.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z)))) + ((0.9999999999998099 + (676.5203681218851 / (1.0 - z))) + ((-1259.1392167224028 / (2.0 - z)) + ((771.3234287776531 / (3.0 - z)) + ((z * -10.53814559148631) - 41.65228863479777)))))));
}
public static double code(double z) {
return Math.sqrt((Math.PI * 2.0)) * ((Math.PI / Math.sin((Math.PI * z))) * (Math.exp(((z + -7.5) + ((0.5 - z) * Math.log((7.5 - z))))) * (((-0.13857109526572012 / (6.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z)))) + ((0.9999999999998099 + (676.5203681218851 / (1.0 - z))) + ((-1259.1392167224028 / (2.0 - z)) + ((771.3234287776531 / (3.0 - z)) + ((z * -10.53814559148631) - 41.65228863479777)))))));
}
def code(z): return math.sqrt((math.pi * 2.0)) * ((math.pi / math.sin((math.pi * z))) * (math.exp(((z + -7.5) + ((0.5 - z) * math.log((7.5 - z))))) * (((-0.13857109526572012 / (6.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z)))) + ((0.9999999999998099 + (676.5203681218851 / (1.0 - z))) + ((-1259.1392167224028 / (2.0 - z)) + ((771.3234287776531 / (3.0 - z)) + ((z * -10.53814559148631) - 41.65228863479777)))))))
function code(z) return Float64(sqrt(Float64(pi * 2.0)) * Float64(Float64(pi / sin(Float64(pi * z))) * Float64(exp(Float64(Float64(z + -7.5) + Float64(Float64(0.5 - z) * log(Float64(7.5 - z))))) * Float64(Float64(Float64(-0.13857109526572012 / Float64(6.0 - z)) + Float64(Float64(9.984369578019572e-6 / Float64(7.0 - z)) + Float64(1.5056327351493116e-7 / Float64(8.0 - z)))) + Float64(Float64(0.9999999999998099 + Float64(676.5203681218851 / Float64(1.0 - z))) + Float64(Float64(-1259.1392167224028 / Float64(2.0 - z)) + Float64(Float64(771.3234287776531 / Float64(3.0 - z)) + Float64(Float64(z * -10.53814559148631) - 41.65228863479777)))))))) end
function tmp = code(z) tmp = sqrt((pi * 2.0)) * ((pi / sin((pi * z))) * (exp(((z + -7.5) + ((0.5 - z) * log((7.5 - z))))) * (((-0.13857109526572012 / (6.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z)))) + ((0.9999999999998099 + (676.5203681218851 / (1.0 - z))) + ((-1259.1392167224028 / (2.0 - z)) + ((771.3234287776531 / (3.0 - z)) + ((z * -10.53814559148631) - 41.65228863479777))))))); end
code[z_] := N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Exp[N[(N[(z + -7.5), $MachinePrecision] + N[(N[(0.5 - z), $MachinePrecision] * N[Log[N[(7.5 - z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(N[(N[(-0.13857109526572012 / N[(6.0 - 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[(0.9999999999998099 + N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(771.3234287776531 / N[(3.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(z * -10.53814559148631), $MachinePrecision] - 41.65228863479777), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt{\pi \cdot 2} \cdot \left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(e^{\left(z + -7.5\right) + \left(0.5 - z\right) \cdot \log \left(7.5 - z\right)} \cdot \left(\left(\frac{-0.13857109526572012}{6 - z} + \left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \frac{1.5056327351493116 \cdot 10^{-7}}{8 - z}\right)\right) + \left(\left(0.9999999999998099 + \frac{676.5203681218851}{1 - z}\right) + \left(\frac{-1259.1392167224028}{2 - z} + \left(\frac{771.3234287776531}{3 - z} + \left(z \cdot -10.53814559148631 - 41.65228863479777\right)\right)\right)\right)\right)\right)\right)
\end{array}
Initial program 95.5%
Simplified97.1%
add-exp-log97.2%
*-commutative97.2%
+-commutative97.2%
sub-neg97.2%
log-prod97.2%
add-log-exp99.2%
sub-neg99.2%
+-commutative99.2%
log-pow99.2%
+-commutative99.2%
sub-neg99.2%
Applied egg-rr99.2%
Taylor expanded in z around 0 98.4%
Final simplification98.4%
(FPCore (z)
:precision binary64
(*
(sqrt (* PI 2.0))
(*
(/ PI (sin (* PI z)))
(*
(exp (+ (+ z -7.5) (* (- 0.5 z) (log (- 7.5 z)))))
(+
(+
(/ -0.13857109526572012 (- 6.0 z))
(+
(/ 9.984369578019572e-6 (- 7.0 z))
(/ 1.5056327351493116e-7 (- 8.0 z))))
(+
(+ 0.9999999999998099 (/ 676.5203681218851 (- 1.0 z)))
(+ (/ -1259.1392167224028 (- 2.0 z)) 215.45552095775327)))))))
double code(double z) {
return sqrt((((double) M_PI) * 2.0)) * ((((double) M_PI) / sin((((double) M_PI) * z))) * (exp(((z + -7.5) + ((0.5 - z) * log((7.5 - z))))) * (((-0.13857109526572012 / (6.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z)))) + ((0.9999999999998099 + (676.5203681218851 / (1.0 - z))) + ((-1259.1392167224028 / (2.0 - z)) + 215.45552095775327)))));
}
public static double code(double z) {
return Math.sqrt((Math.PI * 2.0)) * ((Math.PI / Math.sin((Math.PI * z))) * (Math.exp(((z + -7.5) + ((0.5 - z) * Math.log((7.5 - z))))) * (((-0.13857109526572012 / (6.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z)))) + ((0.9999999999998099 + (676.5203681218851 / (1.0 - z))) + ((-1259.1392167224028 / (2.0 - z)) + 215.45552095775327)))));
}
def code(z): return math.sqrt((math.pi * 2.0)) * ((math.pi / math.sin((math.pi * z))) * (math.exp(((z + -7.5) + ((0.5 - z) * math.log((7.5 - z))))) * (((-0.13857109526572012 / (6.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z)))) + ((0.9999999999998099 + (676.5203681218851 / (1.0 - z))) + ((-1259.1392167224028 / (2.0 - z)) + 215.45552095775327)))))
function code(z) return Float64(sqrt(Float64(pi * 2.0)) * Float64(Float64(pi / sin(Float64(pi * z))) * Float64(exp(Float64(Float64(z + -7.5) + Float64(Float64(0.5 - z) * log(Float64(7.5 - z))))) * Float64(Float64(Float64(-0.13857109526572012 / Float64(6.0 - z)) + Float64(Float64(9.984369578019572e-6 / Float64(7.0 - z)) + Float64(1.5056327351493116e-7 / Float64(8.0 - z)))) + Float64(Float64(0.9999999999998099 + Float64(676.5203681218851 / Float64(1.0 - z))) + Float64(Float64(-1259.1392167224028 / Float64(2.0 - z)) + 215.45552095775327)))))) end
function tmp = code(z) tmp = sqrt((pi * 2.0)) * ((pi / sin((pi * z))) * (exp(((z + -7.5) + ((0.5 - z) * log((7.5 - z))))) * (((-0.13857109526572012 / (6.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z)))) + ((0.9999999999998099 + (676.5203681218851 / (1.0 - z))) + ((-1259.1392167224028 / (2.0 - z)) + 215.45552095775327))))); end
code[z_] := N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Exp[N[(N[(z + -7.5), $MachinePrecision] + N[(N[(0.5 - z), $MachinePrecision] * N[Log[N[(7.5 - z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(N[(N[(-0.13857109526572012 / N[(6.0 - 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[(0.9999999999998099 + N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision] + 215.45552095775327), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt{\pi \cdot 2} \cdot \left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(e^{\left(z + -7.5\right) + \left(0.5 - z\right) \cdot \log \left(7.5 - z\right)} \cdot \left(\left(\frac{-0.13857109526572012}{6 - z} + \left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \frac{1.5056327351493116 \cdot 10^{-7}}{8 - z}\right)\right) + \left(\left(0.9999999999998099 + \frac{676.5203681218851}{1 - z}\right) + \left(\frac{-1259.1392167224028}{2 - z} + 215.45552095775327\right)\right)\right)\right)\right)
\end{array}
Initial program 95.5%
Simplified97.1%
add-exp-log97.2%
*-commutative97.2%
+-commutative97.2%
sub-neg97.2%
log-prod97.2%
add-log-exp99.2%
sub-neg99.2%
+-commutative99.2%
log-pow99.2%
+-commutative99.2%
sub-neg99.2%
Applied egg-rr99.2%
Taylor expanded in z around 0 97.2%
Final simplification97.2%
(FPCore (z)
:precision binary64
(let* ((t_0 (sqrt (* PI 2.0))) (t_1 (/ PI (sin (* PI z)))))
(if (<= z -28.0)
(*
t_0
(*
t_1
(*
(exp (- (+ z (* (- 0.5 z) (log (- 7.5 z)))) 7.5))
263.4062807184368)))
(*
(+
(+
(/ 676.5203681218851 (- 1.0 z))
(+
(/ -1259.1392167224028 (- 2.0 z))
(+ 0.9999999999998099 (/ 771.3234287776531 (- 3.0 z)))))
(- (* z -10.54199458246183) 41.67538237218314))
(* t_1 (* (pow (- 7.5 z) (- 0.5 z)) (* t_0 (exp (+ z -7.5)))))))))
double code(double z) {
double t_0 = sqrt((((double) M_PI) * 2.0));
double t_1 = ((double) M_PI) / sin((((double) M_PI) * z));
double tmp;
if (z <= -28.0) {
tmp = t_0 * (t_1 * (exp(((z + ((0.5 - z) * log((7.5 - z)))) - 7.5)) * 263.4062807184368));
} else {
tmp = (((676.5203681218851 / (1.0 - z)) + ((-1259.1392167224028 / (2.0 - z)) + (0.9999999999998099 + (771.3234287776531 / (3.0 - z))))) + ((z * -10.54199458246183) - 41.67538237218314)) * (t_1 * (pow((7.5 - z), (0.5 - z)) * (t_0 * exp((z + -7.5)))));
}
return tmp;
}
public static double code(double z) {
double t_0 = Math.sqrt((Math.PI * 2.0));
double t_1 = Math.PI / Math.sin((Math.PI * z));
double tmp;
if (z <= -28.0) {
tmp = t_0 * (t_1 * (Math.exp(((z + ((0.5 - z) * Math.log((7.5 - z)))) - 7.5)) * 263.4062807184368));
} else {
tmp = (((676.5203681218851 / (1.0 - z)) + ((-1259.1392167224028 / (2.0 - z)) + (0.9999999999998099 + (771.3234287776531 / (3.0 - z))))) + ((z * -10.54199458246183) - 41.67538237218314)) * (t_1 * (Math.pow((7.5 - z), (0.5 - z)) * (t_0 * Math.exp((z + -7.5)))));
}
return tmp;
}
def code(z): t_0 = math.sqrt((math.pi * 2.0)) t_1 = math.pi / math.sin((math.pi * z)) tmp = 0 if z <= -28.0: tmp = t_0 * (t_1 * (math.exp(((z + ((0.5 - z) * math.log((7.5 - z)))) - 7.5)) * 263.4062807184368)) else: tmp = (((676.5203681218851 / (1.0 - z)) + ((-1259.1392167224028 / (2.0 - z)) + (0.9999999999998099 + (771.3234287776531 / (3.0 - z))))) + ((z * -10.54199458246183) - 41.67538237218314)) * (t_1 * (math.pow((7.5 - z), (0.5 - z)) * (t_0 * math.exp((z + -7.5))))) return tmp
function code(z) t_0 = sqrt(Float64(pi * 2.0)) t_1 = Float64(pi / sin(Float64(pi * z))) tmp = 0.0 if (z <= -28.0) tmp = Float64(t_0 * Float64(t_1 * Float64(exp(Float64(Float64(z + Float64(Float64(0.5 - z) * log(Float64(7.5 - z)))) - 7.5)) * 263.4062807184368))); else tmp = Float64(Float64(Float64(Float64(676.5203681218851 / Float64(1.0 - z)) + Float64(Float64(-1259.1392167224028 / Float64(2.0 - z)) + Float64(0.9999999999998099 + Float64(771.3234287776531 / Float64(3.0 - z))))) + Float64(Float64(z * -10.54199458246183) - 41.67538237218314)) * Float64(t_1 * Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * Float64(t_0 * exp(Float64(z + -7.5)))))); end return tmp end
function tmp_2 = code(z) t_0 = sqrt((pi * 2.0)); t_1 = pi / sin((pi * z)); tmp = 0.0; if (z <= -28.0) tmp = t_0 * (t_1 * (exp(((z + ((0.5 - z) * log((7.5 - z)))) - 7.5)) * 263.4062807184368)); else tmp = (((676.5203681218851 / (1.0 - z)) + ((-1259.1392167224028 / (2.0 - z)) + (0.9999999999998099 + (771.3234287776531 / (3.0 - z))))) + ((z * -10.54199458246183) - 41.67538237218314)) * (t_1 * (((7.5 - z) ^ (0.5 - z)) * (t_0 * exp((z + -7.5))))); end tmp_2 = tmp; end
code[z_] := Block[{t$95$0 = N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[z, -28.0], N[(t$95$0 * N[(t$95$1 * N[(N[Exp[N[(N[(z + N[(N[(0.5 - z), $MachinePrecision] * N[Log[N[(7.5 - z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 7.5), $MachinePrecision]], $MachinePrecision] * 263.4062807184368), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision] + N[(0.9999999999998099 + N[(771.3234287776531 / N[(3.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(z * -10.54199458246183), $MachinePrecision] - 41.67538237218314), $MachinePrecision]), $MachinePrecision] * N[(t$95$1 * N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[(t$95$0 * N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{\pi \cdot 2}\\
t_1 := \frac{\pi}{\sin \left(\pi \cdot z\right)}\\
\mathbf{if}\;z \leq -28:\\
\;\;\;\;t_0 \cdot \left(t_1 \cdot \left(e^{\left(z + \left(0.5 - z\right) \cdot \log \left(7.5 - z\right)\right) - 7.5} \cdot 263.4062807184368\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\frac{676.5203681218851}{1 - z} + \left(\frac{-1259.1392167224028}{2 - z} + \left(0.9999999999998099 + \frac{771.3234287776531}{3 - z}\right)\right)\right) + \left(z \cdot -10.54199458246183 - 41.67538237218314\right)\right) \cdot \left(t_1 \cdot \left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot \left(t_0 \cdot e^{z + -7.5}\right)\right)\right)\\
\end{array}
\end{array}
if z < -28Initial program 0.0%
Simplified0.0%
add-exp-log0.0%
*-commutative0.0%
+-commutative0.0%
sub-neg0.0%
log-prod0.0%
add-log-exp100.0%
sub-neg100.0%
+-commutative100.0%
log-pow100.0%
+-commutative100.0%
sub-neg100.0%
Applied egg-rr100.0%
Taylor expanded in z around 0 0.0%
*-commutative0.0%
Simplified0.0%
Taylor expanded in z around 0 100.0%
Taylor expanded in z around inf 100.0%
if -28 < z Initial program 97.4%
Simplified98.9%
Taylor expanded in z around 0 98.1%
Final simplification98.2%
(FPCore (z)
:precision binary64
(*
(sqrt (* PI 2.0))
(*
(/ PI (sin (* PI z)))
(*
(exp (+ (+ z -7.5) (* (- 0.5 z) (log (- 7.5 z)))))
(+
(+
(/ -0.13857109526572012 (- 6.0 z))
(+
(/ 9.984369578019572e-6 (- 7.0 z))
(/ 1.5056327351493116e-7 (- 8.0 z))))
263.4062807184368)))))
double code(double z) {
return sqrt((((double) M_PI) * 2.0)) * ((((double) M_PI) / sin((((double) M_PI) * z))) * (exp(((z + -7.5) + ((0.5 - z) * log((7.5 - z))))) * (((-0.13857109526572012 / (6.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z)))) + 263.4062807184368)));
}
public static double code(double z) {
return Math.sqrt((Math.PI * 2.0)) * ((Math.PI / Math.sin((Math.PI * z))) * (Math.exp(((z + -7.5) + ((0.5 - z) * Math.log((7.5 - z))))) * (((-0.13857109526572012 / (6.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z)))) + 263.4062807184368)));
}
def code(z): return math.sqrt((math.pi * 2.0)) * ((math.pi / math.sin((math.pi * z))) * (math.exp(((z + -7.5) + ((0.5 - z) * math.log((7.5 - z))))) * (((-0.13857109526572012 / (6.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z)))) + 263.4062807184368)))
function code(z) return Float64(sqrt(Float64(pi * 2.0)) * Float64(Float64(pi / sin(Float64(pi * z))) * Float64(exp(Float64(Float64(z + -7.5) + Float64(Float64(0.5 - z) * log(Float64(7.5 - z))))) * Float64(Float64(Float64(-0.13857109526572012 / Float64(6.0 - z)) + Float64(Float64(9.984369578019572e-6 / Float64(7.0 - z)) + Float64(1.5056327351493116e-7 / Float64(8.0 - z)))) + 263.4062807184368)))) end
function tmp = code(z) tmp = sqrt((pi * 2.0)) * ((pi / sin((pi * z))) * (exp(((z + -7.5) + ((0.5 - z) * log((7.5 - z))))) * (((-0.13857109526572012 / (6.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z)))) + 263.4062807184368))); end
code[z_] := N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Exp[N[(N[(z + -7.5), $MachinePrecision] + N[(N[(0.5 - z), $MachinePrecision] * N[Log[N[(7.5 - z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(N[(N[(-0.13857109526572012 / N[(6.0 - 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] + 263.4062807184368), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt{\pi \cdot 2} \cdot \left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(e^{\left(z + -7.5\right) + \left(0.5 - z\right) \cdot \log \left(7.5 - z\right)} \cdot \left(\left(\frac{-0.13857109526572012}{6 - z} + \left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \frac{1.5056327351493116 \cdot 10^{-7}}{8 - z}\right)\right) + 263.4062807184368\right)\right)\right)
\end{array}
Initial program 95.5%
Simplified97.1%
add-exp-log97.2%
*-commutative97.2%
+-commutative97.2%
sub-neg97.2%
log-prod97.2%
add-log-exp99.2%
sub-neg99.2%
+-commutative99.2%
log-pow99.2%
+-commutative99.2%
sub-neg99.2%
Applied egg-rr99.2%
Taylor expanded in z around 0 96.3%
*-commutative96.3%
Simplified96.3%
Taylor expanded in z around 0 96.0%
Final simplification96.0%
(FPCore (z)
:precision binary64
(let* ((t_0 (sqrt (* PI 2.0))) (t_1 (/ PI (sin (* PI z)))))
(if (<= z -1000.0)
(*
t_0
(*
t_1
(*
(exp (- (+ z (* (- 0.5 z) (log (- 7.5 z)))) 7.5))
263.4062807184368)))
(*
(* t_1 (pow (- 7.5 z) (- 0.5 z)))
(*
(* t_0 (exp (+ z -7.5)))
(+
(/ 676.5203681218851 (- 1.0 z))
(+
(+ (/ -1259.1392167224028 (- 2.0 z)) -41.67538237218314)
258.10780959255084)))))))
double code(double z) {
double t_0 = sqrt((((double) M_PI) * 2.0));
double t_1 = ((double) M_PI) / sin((((double) M_PI) * z));
double tmp;
if (z <= -1000.0) {
tmp = t_0 * (t_1 * (exp(((z + ((0.5 - z) * log((7.5 - z)))) - 7.5)) * 263.4062807184368));
} else {
tmp = (t_1 * pow((7.5 - z), (0.5 - z))) * ((t_0 * exp((z + -7.5))) * ((676.5203681218851 / (1.0 - z)) + (((-1259.1392167224028 / (2.0 - z)) + -41.67538237218314) + 258.10780959255084)));
}
return tmp;
}
public static double code(double z) {
double t_0 = Math.sqrt((Math.PI * 2.0));
double t_1 = Math.PI / Math.sin((Math.PI * z));
double tmp;
if (z <= -1000.0) {
tmp = t_0 * (t_1 * (Math.exp(((z + ((0.5 - z) * Math.log((7.5 - z)))) - 7.5)) * 263.4062807184368));
} else {
tmp = (t_1 * Math.pow((7.5 - z), (0.5 - z))) * ((t_0 * Math.exp((z + -7.5))) * ((676.5203681218851 / (1.0 - z)) + (((-1259.1392167224028 / (2.0 - z)) + -41.67538237218314) + 258.10780959255084)));
}
return tmp;
}
def code(z): t_0 = math.sqrt((math.pi * 2.0)) t_1 = math.pi / math.sin((math.pi * z)) tmp = 0 if z <= -1000.0: tmp = t_0 * (t_1 * (math.exp(((z + ((0.5 - z) * math.log((7.5 - z)))) - 7.5)) * 263.4062807184368)) else: tmp = (t_1 * math.pow((7.5 - z), (0.5 - z))) * ((t_0 * math.exp((z + -7.5))) * ((676.5203681218851 / (1.0 - z)) + (((-1259.1392167224028 / (2.0 - z)) + -41.67538237218314) + 258.10780959255084))) return tmp
function code(z) t_0 = sqrt(Float64(pi * 2.0)) t_1 = Float64(pi / sin(Float64(pi * z))) tmp = 0.0 if (z <= -1000.0) tmp = Float64(t_0 * Float64(t_1 * Float64(exp(Float64(Float64(z + Float64(Float64(0.5 - z) * log(Float64(7.5 - z)))) - 7.5)) * 263.4062807184368))); else tmp = Float64(Float64(t_1 * (Float64(7.5 - z) ^ Float64(0.5 - z))) * Float64(Float64(t_0 * exp(Float64(z + -7.5))) * Float64(Float64(676.5203681218851 / Float64(1.0 - z)) + Float64(Float64(Float64(-1259.1392167224028 / Float64(2.0 - z)) + -41.67538237218314) + 258.10780959255084)))); end return tmp end
function tmp_2 = code(z) t_0 = sqrt((pi * 2.0)); t_1 = pi / sin((pi * z)); tmp = 0.0; if (z <= -1000.0) tmp = t_0 * (t_1 * (exp(((z + ((0.5 - z) * log((7.5 - z)))) - 7.5)) * 263.4062807184368)); else tmp = (t_1 * ((7.5 - z) ^ (0.5 - z))) * ((t_0 * exp((z + -7.5))) * ((676.5203681218851 / (1.0 - z)) + (((-1259.1392167224028 / (2.0 - z)) + -41.67538237218314) + 258.10780959255084))); end tmp_2 = tmp; end
code[z_] := Block[{t$95$0 = N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[z, -1000.0], N[(t$95$0 * N[(t$95$1 * N[(N[Exp[N[(N[(z + N[(N[(0.5 - z), $MachinePrecision] * N[Log[N[(7.5 - z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 7.5), $MachinePrecision]], $MachinePrecision] * 263.4062807184368), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$1 * N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(t$95$0 * N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision] + -41.67538237218314), $MachinePrecision] + 258.10780959255084), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{\pi \cdot 2}\\
t_1 := \frac{\pi}{\sin \left(\pi \cdot z\right)}\\
\mathbf{if}\;z \leq -1000:\\
\;\;\;\;t_0 \cdot \left(t_1 \cdot \left(e^{\left(z + \left(0.5 - z\right) \cdot \log \left(7.5 - z\right)\right) - 7.5} \cdot 263.4062807184368\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t_1 \cdot {\left(7.5 - z\right)}^{\left(0.5 - z\right)}\right) \cdot \left(\left(t_0 \cdot e^{z + -7.5}\right) \cdot \left(\frac{676.5203681218851}{1 - z} + \left(\left(\frac{-1259.1392167224028}{2 - z} + -41.67538237218314\right) + 258.10780959255084\right)\right)\right)\\
\end{array}
\end{array}
if z < -1e3Initial program 0.0%
Simplified0.0%
add-exp-log0.0%
*-commutative0.0%
+-commutative0.0%
sub-neg0.0%
log-prod0.0%
add-log-exp100.0%
sub-neg100.0%
+-commutative100.0%
log-pow100.0%
+-commutative100.0%
sub-neg100.0%
Applied egg-rr100.0%
Taylor expanded in z around 0 0.0%
*-commutative0.0%
Simplified0.0%
Taylor expanded in z around 0 100.0%
Taylor expanded in z around inf 100.0%
if -1e3 < z Initial program 97.4%
Simplified98.9%
Taylor expanded in z around 0 97.2%
Taylor expanded in z around 0 96.7%
expm1-log1p-u44.1%
expm1-udef44.1%
Applied egg-rr44.1%
expm1-def44.1%
expm1-log1p95.7%
*-commutative95.7%
associate-*l*95.4%
*-commutative95.4%
associate-+l+96.9%
associate-+l+97.1%
Simplified97.1%
Final simplification97.2%
(FPCore (z)
:precision binary64
(let* ((t_0 (sqrt (* PI 2.0))) (t_1 (/ PI (sin (* PI z)))))
(if (<= z -3.7)
(*
t_0
(*
t_1
(*
(exp (- (+ z (* (- 0.5 z) (log (- 7.5 z)))) 7.5))
263.4062807184368)))
(* t_0 (* t_1 (* 263.3831869810514 (exp (- (* 0.5 (log 7.5)) 7.5))))))))
double code(double z) {
double t_0 = sqrt((((double) M_PI) * 2.0));
double t_1 = ((double) M_PI) / sin((((double) M_PI) * z));
double tmp;
if (z <= -3.7) {
tmp = t_0 * (t_1 * (exp(((z + ((0.5 - z) * log((7.5 - z)))) - 7.5)) * 263.4062807184368));
} else {
tmp = t_0 * (t_1 * (263.3831869810514 * exp(((0.5 * log(7.5)) - 7.5))));
}
return tmp;
}
public static double code(double z) {
double t_0 = Math.sqrt((Math.PI * 2.0));
double t_1 = Math.PI / Math.sin((Math.PI * z));
double tmp;
if (z <= -3.7) {
tmp = t_0 * (t_1 * (Math.exp(((z + ((0.5 - z) * Math.log((7.5 - z)))) - 7.5)) * 263.4062807184368));
} else {
tmp = t_0 * (t_1 * (263.3831869810514 * Math.exp(((0.5 * Math.log(7.5)) - 7.5))));
}
return tmp;
}
def code(z): t_0 = math.sqrt((math.pi * 2.0)) t_1 = math.pi / math.sin((math.pi * z)) tmp = 0 if z <= -3.7: tmp = t_0 * (t_1 * (math.exp(((z + ((0.5 - z) * math.log((7.5 - z)))) - 7.5)) * 263.4062807184368)) else: tmp = t_0 * (t_1 * (263.3831869810514 * math.exp(((0.5 * math.log(7.5)) - 7.5)))) return tmp
function code(z) t_0 = sqrt(Float64(pi * 2.0)) t_1 = Float64(pi / sin(Float64(pi * z))) tmp = 0.0 if (z <= -3.7) tmp = Float64(t_0 * Float64(t_1 * Float64(exp(Float64(Float64(z + Float64(Float64(0.5 - z) * log(Float64(7.5 - z)))) - 7.5)) * 263.4062807184368))); else tmp = Float64(t_0 * Float64(t_1 * Float64(263.3831869810514 * exp(Float64(Float64(0.5 * log(7.5)) - 7.5))))); end return tmp end
function tmp_2 = code(z) t_0 = sqrt((pi * 2.0)); t_1 = pi / sin((pi * z)); tmp = 0.0; if (z <= -3.7) tmp = t_0 * (t_1 * (exp(((z + ((0.5 - z) * log((7.5 - z)))) - 7.5)) * 263.4062807184368)); else tmp = t_0 * (t_1 * (263.3831869810514 * exp(((0.5 * log(7.5)) - 7.5)))); end tmp_2 = tmp; end
code[z_] := Block[{t$95$0 = N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[z, -3.7], N[(t$95$0 * N[(t$95$1 * N[(N[Exp[N[(N[(z + N[(N[(0.5 - z), $MachinePrecision] * N[Log[N[(7.5 - z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 7.5), $MachinePrecision]], $MachinePrecision] * 263.4062807184368), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$0 * N[(t$95$1 * N[(263.3831869810514 * N[Exp[N[(N[(0.5 * N[Log[7.5], $MachinePrecision]), $MachinePrecision] - 7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{\pi \cdot 2}\\
t_1 := \frac{\pi}{\sin \left(\pi \cdot z\right)}\\
\mathbf{if}\;z \leq -3.7:\\
\;\;\;\;t_0 \cdot \left(t_1 \cdot \left(e^{\left(z + \left(0.5 - z\right) \cdot \log \left(7.5 - z\right)\right) - 7.5} \cdot 263.4062807184368\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t_0 \cdot \left(t_1 \cdot \left(263.3831869810514 \cdot e^{0.5 \cdot \log 7.5 - 7.5}\right)\right)\\
\end{array}
\end{array}
if z < -3.7000000000000002Initial program 0.0%
Simplified0.0%
add-exp-log0.0%
*-commutative0.0%
+-commutative0.0%
sub-neg0.0%
log-prod0.0%
add-log-exp100.0%
sub-neg100.0%
+-commutative100.0%
log-pow100.0%
+-commutative100.0%
sub-neg100.0%
Applied egg-rr100.0%
Taylor expanded in z around 0 0.0%
*-commutative0.0%
Simplified0.0%
Taylor expanded in z around 0 100.0%
Taylor expanded in z around inf 100.0%
if -3.7000000000000002 < z Initial program 97.4%
Simplified99.1%
add-exp-log99.2%
*-commutative99.2%
+-commutative99.2%
sub-neg99.2%
log-prod99.2%
add-log-exp99.2%
sub-neg99.2%
+-commutative99.2%
log-pow99.2%
+-commutative99.2%
sub-neg99.2%
Applied egg-rr99.2%
Taylor expanded in z around 0 98.2%
*-commutative98.2%
Simplified98.2%
Taylor expanded in z around 0 97.1%
Final simplification97.1%
(FPCore (z) :precision binary64 (* (sqrt (* PI 2.0)) (* (/ PI (sin (* PI z))) (* 263.3831869810514 (exp (- (* 0.5 (log 7.5)) 7.5))))))
double code(double z) {
return sqrt((((double) M_PI) * 2.0)) * ((((double) M_PI) / sin((((double) M_PI) * z))) * (263.3831869810514 * exp(((0.5 * log(7.5)) - 7.5))));
}
public static double code(double z) {
return Math.sqrt((Math.PI * 2.0)) * ((Math.PI / Math.sin((Math.PI * z))) * (263.3831869810514 * Math.exp(((0.5 * Math.log(7.5)) - 7.5))));
}
def code(z): return math.sqrt((math.pi * 2.0)) * ((math.pi / math.sin((math.pi * z))) * (263.3831869810514 * math.exp(((0.5 * math.log(7.5)) - 7.5))))
function code(z) return Float64(sqrt(Float64(pi * 2.0)) * Float64(Float64(pi / sin(Float64(pi * z))) * Float64(263.3831869810514 * exp(Float64(Float64(0.5 * log(7.5)) - 7.5))))) end
function tmp = code(z) tmp = sqrt((pi * 2.0)) * ((pi / sin((pi * z))) * (263.3831869810514 * exp(((0.5 * log(7.5)) - 7.5)))); end
code[z_] := N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(263.3831869810514 * N[Exp[N[(N[(0.5 * N[Log[7.5], $MachinePrecision]), $MachinePrecision] - 7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt{\pi \cdot 2} \cdot \left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(263.3831869810514 \cdot e^{0.5 \cdot \log 7.5 - 7.5}\right)\right)
\end{array}
Initial program 95.5%
Simplified97.1%
add-exp-log97.2%
*-commutative97.2%
+-commutative97.2%
sub-neg97.2%
log-prod97.2%
add-log-exp99.2%
sub-neg99.2%
+-commutative99.2%
log-pow99.2%
+-commutative99.2%
sub-neg99.2%
Applied egg-rr99.2%
Taylor expanded in z around 0 96.3%
*-commutative96.3%
Simplified96.3%
Taylor expanded in z around 0 95.2%
Final simplification95.2%
(FPCore (z) :precision binary64 (* (sqrt (* PI 2.0)) (* (/ PI (sin (* PI z))) (* 263.3831869810514 (* (exp -7.5) (sqrt 7.5))))))
double code(double z) {
return sqrt((((double) M_PI) * 2.0)) * ((((double) M_PI) / sin((((double) M_PI) * z))) * (263.3831869810514 * (exp(-7.5) * sqrt(7.5))));
}
public static double code(double z) {
return Math.sqrt((Math.PI * 2.0)) * ((Math.PI / Math.sin((Math.PI * z))) * (263.3831869810514 * (Math.exp(-7.5) * Math.sqrt(7.5))));
}
def code(z): return math.sqrt((math.pi * 2.0)) * ((math.pi / math.sin((math.pi * z))) * (263.3831869810514 * (math.exp(-7.5) * math.sqrt(7.5))))
function code(z) return Float64(sqrt(Float64(pi * 2.0)) * Float64(Float64(pi / sin(Float64(pi * z))) * Float64(263.3831869810514 * Float64(exp(-7.5) * sqrt(7.5))))) end
function tmp = code(z) tmp = sqrt((pi * 2.0)) * ((pi / sin((pi * z))) * (263.3831869810514 * (exp(-7.5) * sqrt(7.5)))); end
code[z_] := N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(263.3831869810514 * N[(N[Exp[-7.5], $MachinePrecision] * N[Sqrt[7.5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt{\pi \cdot 2} \cdot \left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(263.3831869810514 \cdot \left(e^{-7.5} \cdot \sqrt{7.5}\right)\right)\right)
\end{array}
Initial program 95.5%
Simplified97.1%
add-exp-log97.2%
*-commutative97.2%
+-commutative97.2%
sub-neg97.2%
log-prod97.2%
add-log-exp99.2%
sub-neg99.2%
+-commutative99.2%
log-pow99.2%
+-commutative99.2%
sub-neg99.2%
Applied egg-rr99.2%
Taylor expanded in z around 0 96.3%
*-commutative96.3%
Simplified96.3%
Taylor expanded in z around 0 96.0%
Taylor expanded in z around 0 95.2%
sub-neg95.2%
metadata-eval95.2%
+-commutative95.2%
exp-sum95.2%
*-commutative95.2%
exp-to-pow95.2%
unpow1/295.2%
Simplified95.2%
Final simplification95.2%
(FPCore (z) :precision binary64 (* 263.3831869810514 (* (sqrt PI) (* (exp -7.5) (/ (* (sqrt 7.5) (sqrt 2.0)) z)))))
double code(double z) {
return 263.3831869810514 * (sqrt(((double) M_PI)) * (exp(-7.5) * ((sqrt(7.5) * sqrt(2.0)) / z)));
}
public static double code(double z) {
return 263.3831869810514 * (Math.sqrt(Math.PI) * (Math.exp(-7.5) * ((Math.sqrt(7.5) * Math.sqrt(2.0)) / z)));
}
def code(z): return 263.3831869810514 * (math.sqrt(math.pi) * (math.exp(-7.5) * ((math.sqrt(7.5) * math.sqrt(2.0)) / z)))
function code(z) return Float64(263.3831869810514 * Float64(sqrt(pi) * Float64(exp(-7.5) * Float64(Float64(sqrt(7.5) * sqrt(2.0)) / z)))) end
function tmp = code(z) tmp = 263.3831869810514 * (sqrt(pi) * (exp(-7.5) * ((sqrt(7.5) * sqrt(2.0)) / z))); end
code[z_] := N[(263.3831869810514 * N[(N[Sqrt[Pi], $MachinePrecision] * N[(N[Exp[-7.5], $MachinePrecision] * N[(N[(N[Sqrt[7.5], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
263.3831869810514 \cdot \left(\sqrt{\pi} \cdot \left(e^{-7.5} \cdot \frac{\sqrt{7.5} \cdot \sqrt{2}}{z}\right)\right)
\end{array}
Initial program 95.5%
Simplified97.0%
Taylor expanded in z around 0 95.3%
Taylor expanded in z around 0 94.9%
Taylor expanded in z around 0 95.0%
div-inv94.9%
associate-*r*94.9%
Applied egg-rr94.9%
associate-*l*95.0%
*-commutative95.0%
associate-*l*95.1%
associate-*r/95.2%
*-rgt-identity95.2%
associate-*r/95.1%
Simplified95.1%
Final simplification95.1%
(FPCore (z) :precision binary64 (* 263.3831869810514 (* (/ (* (exp -7.5) (sqrt 2.0)) (/ z (sqrt 7.5))) (sqrt PI))))
double code(double z) {
return 263.3831869810514 * (((exp(-7.5) * sqrt(2.0)) / (z / sqrt(7.5))) * sqrt(((double) M_PI)));
}
public static double code(double z) {
return 263.3831869810514 * (((Math.exp(-7.5) * Math.sqrt(2.0)) / (z / Math.sqrt(7.5))) * Math.sqrt(Math.PI));
}
def code(z): return 263.3831869810514 * (((math.exp(-7.5) * math.sqrt(2.0)) / (z / math.sqrt(7.5))) * math.sqrt(math.pi))
function code(z) return Float64(263.3831869810514 * Float64(Float64(Float64(exp(-7.5) * sqrt(2.0)) / Float64(z / sqrt(7.5))) * sqrt(pi))) end
function tmp = code(z) tmp = 263.3831869810514 * (((exp(-7.5) * sqrt(2.0)) / (z / sqrt(7.5))) * sqrt(pi)); end
code[z_] := N[(263.3831869810514 * N[(N[(N[(N[Exp[-7.5], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] / N[(z / N[Sqrt[7.5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
263.3831869810514 \cdot \left(\frac{e^{-7.5} \cdot \sqrt{2}}{\frac{z}{\sqrt{7.5}}} \cdot \sqrt{\pi}\right)
\end{array}
Initial program 95.5%
Simplified97.0%
Taylor expanded in z around 0 95.3%
Taylor expanded in z around 0 94.9%
Taylor expanded in z around 0 95.0%
pow195.0%
associate-*r*95.0%
Applied egg-rr95.0%
unpow195.0%
associate-/l*95.1%
*-commutative95.1%
Simplified95.1%
Final simplification95.1%
herbie shell --seed 2023255
(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))))))