
(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 8 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
(*
(+
(+
(+
0.9999999999998099
(+
(/ 676.5203681218851 (- 1.0 z))
(/ -1259.1392167224028 (+ 1.0 (- 1.0 z)))))
(exp
(log
(+
(/ 12.507343278686905 (- 5.0 z))
(+ (/ -176.6150291621406 (- 4.0 z)) (/ 771.3234287776531 (- 3.0 z)))))))
(+
(/ -0.13857109526572012 (+ (- 1.0 z) 5.0))
(+
(/ 9.984369578019572e-6 (+ (- 1.0 z) 6.0))
(/ 1.5056327351493116e-7 (+ (- 1.0 z) 7.0)))))
(*
(pow (/ (sin (* z PI)) PI) -1.0)
(*
(sqrt (* PI 2.0))
(exp
(+
(+ (+ z -1.0) -6.5)
(* (+ (- 1.0 z) -0.5) (log (+ (- 1.0 z) 6.5)))))))))
double code(double z) {
return (((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (1.0 + (1.0 - z))))) + exp(log(((12.507343278686905 / (5.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (771.3234287776531 / (3.0 - z))))))) + ((-0.13857109526572012 / ((1.0 - z) + 5.0)) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0))))) * (pow((sin((z * ((double) M_PI))) / ((double) M_PI)), -1.0) * (sqrt((((double) M_PI) * 2.0)) * exp((((z + -1.0) + -6.5) + (((1.0 - z) + -0.5) * log(((1.0 - z) + 6.5)))))));
}
public static double code(double z) {
return (((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (1.0 + (1.0 - z))))) + Math.exp(Math.log(((12.507343278686905 / (5.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (771.3234287776531 / (3.0 - z))))))) + ((-0.13857109526572012 / ((1.0 - z) + 5.0)) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0))))) * (Math.pow((Math.sin((z * Math.PI)) / Math.PI), -1.0) * (Math.sqrt((Math.PI * 2.0)) * Math.exp((((z + -1.0) + -6.5) + (((1.0 - z) + -0.5) * Math.log(((1.0 - z) + 6.5)))))));
}
def code(z): return (((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (1.0 + (1.0 - z))))) + math.exp(math.log(((12.507343278686905 / (5.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (771.3234287776531 / (3.0 - z))))))) + ((-0.13857109526572012 / ((1.0 - z) + 5.0)) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0))))) * (math.pow((math.sin((z * math.pi)) / math.pi), -1.0) * (math.sqrt((math.pi * 2.0)) * math.exp((((z + -1.0) + -6.5) + (((1.0 - z) + -0.5) * math.log(((1.0 - z) + 6.5)))))))
function code(z) return Float64(Float64(Float64(Float64(0.9999999999998099 + Float64(Float64(676.5203681218851 / Float64(1.0 - z)) + Float64(-1259.1392167224028 / Float64(1.0 + Float64(1.0 - z))))) + exp(log(Float64(Float64(12.507343278686905 / Float64(5.0 - z)) + Float64(Float64(-176.6150291621406 / Float64(4.0 - z)) + Float64(771.3234287776531 / Float64(3.0 - z))))))) + Float64(Float64(-0.13857109526572012 / Float64(Float64(1.0 - z) + 5.0)) + Float64(Float64(9.984369578019572e-6 / Float64(Float64(1.0 - z) + 6.0)) + Float64(1.5056327351493116e-7 / Float64(Float64(1.0 - z) + 7.0))))) * Float64((Float64(sin(Float64(z * pi)) / pi) ^ -1.0) * Float64(sqrt(Float64(pi * 2.0)) * exp(Float64(Float64(Float64(z + -1.0) + -6.5) + Float64(Float64(Float64(1.0 - z) + -0.5) * log(Float64(Float64(1.0 - z) + 6.5)))))))) end
function tmp = code(z) tmp = (((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (1.0 + (1.0 - z))))) + exp(log(((12.507343278686905 / (5.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (771.3234287776531 / (3.0 - z))))))) + ((-0.13857109526572012 / ((1.0 - z) + 5.0)) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0))))) * (((sin((z * pi)) / pi) ^ -1.0) * (sqrt((pi * 2.0)) * exp((((z + -1.0) + -6.5) + (((1.0 - z) + -0.5) * log(((1.0 - z) + 6.5))))))); end
code[z_] := N[(N[(N[(N[(0.9999999999998099 + N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + N[(-1259.1392167224028 / N[(1.0 + N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Exp[N[Log[N[(N[(12.507343278686905 / N[(5.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(-176.6150291621406 / N[(4.0 - z), $MachinePrecision]), $MachinePrecision] + N[(771.3234287776531 / N[(3.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[(N[(-0.13857109526572012 / N[(N[(1.0 - z), $MachinePrecision] + 5.0), $MachinePrecision]), $MachinePrecision] + N[(N[(9.984369578019572e-6 / N[(N[(1.0 - z), $MachinePrecision] + 6.0), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(N[(1.0 - z), $MachinePrecision] + 7.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[(N[Sin[N[(z * Pi), $MachinePrecision]], $MachinePrecision] / Pi), $MachinePrecision], -1.0], $MachinePrecision] * N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(N[(N[(z + -1.0), $MachinePrecision] + -6.5), $MachinePrecision] + N[(N[(N[(1.0 - z), $MachinePrecision] + -0.5), $MachinePrecision] * N[Log[N[(N[(1.0 - z), $MachinePrecision] + 6.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(0.9999999999998099 + \left(\frac{676.5203681218851}{1 - z} + \frac{-1259.1392167224028}{1 + \left(1 - z\right)}\right)\right) + e^{\log \left(\frac{12.507343278686905}{5 - z} + \left(\frac{-176.6150291621406}{4 - z} + \frac{771.3234287776531}{3 - z}\right)\right)}\right) + \left(\frac{-0.13857109526572012}{\left(1 - z\right) + 5} + \left(\frac{9.984369578019572 \cdot 10^{-6}}{\left(1 - z\right) + 6} + \frac{1.5056327351493116 \cdot 10^{-7}}{\left(1 - z\right) + 7}\right)\right)\right) \cdot \left({\left(\frac{\sin \left(z \cdot \pi\right)}{\pi}\right)}^{-1} \cdot \left(\sqrt{\pi \cdot 2} \cdot e^{\left(\left(z + -1\right) + -6.5\right) + \left(\left(1 - z\right) + -0.5\right) \cdot \log \left(\left(1 - z\right) + 6.5\right)}\right)\right)
\end{array}
Initial program 96.6%
Simplified98.2%
expm1-log1p-u98.2%
expm1-udef98.2%
associate-+r+98.2%
associate-+l-98.2%
Applied egg-rr98.2%
expm1-def98.2%
expm1-log1p98.2%
+-commutative98.2%
associate-+l+98.2%
+-commutative98.2%
associate-+r-98.2%
metadata-eval98.2%
associate--r-98.2%
+-commutative98.2%
+-commutative98.2%
associate-+r-98.2%
metadata-eval98.2%
Simplified98.2%
add-exp-log97.4%
*-commutative97.4%
log-prod97.4%
add-log-exp98.2%
distribute-neg-in98.2%
metadata-eval98.2%
log-pow98.2%
Applied egg-rr98.2%
add-exp-log99.3%
associate-+r+99.3%
associate-+r-99.3%
metadata-eval99.3%
Applied egg-rr99.3%
clear-num99.3%
inv-pow99.3%
*-commutative99.3%
Applied egg-rr99.3%
Final simplification99.3%
(FPCore (z)
:precision binary64
(*
(+
(+
(+
0.9999999999998099
(+
(/ 676.5203681218851 (- 1.0 z))
(/ -1259.1392167224028 (+ 1.0 (- 1.0 z)))))
(exp
(log
(+
(/ 12.507343278686905 (- 5.0 z))
(+ (/ -176.6150291621406 (- 4.0 z)) (/ 771.3234287776531 (- 3.0 z)))))))
(+
(/ -0.13857109526572012 (+ (- 1.0 z) 5.0))
(+
(/ 9.984369578019572e-6 (+ (- 1.0 z) 6.0))
(/ 1.5056327351493116e-7 (+ (- 1.0 z) 7.0)))))
(*
(*
(sqrt (* PI 2.0))
(exp
(+ (+ (+ z -1.0) -6.5) (* (+ (- 1.0 z) -0.5) (log (+ (- 1.0 z) 6.5))))))
(/ PI (sin (* z PI))))))
double code(double z) {
return (((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (1.0 + (1.0 - z))))) + exp(log(((12.507343278686905 / (5.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (771.3234287776531 / (3.0 - z))))))) + ((-0.13857109526572012 / ((1.0 - z) + 5.0)) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0))))) * ((sqrt((((double) M_PI) * 2.0)) * exp((((z + -1.0) + -6.5) + (((1.0 - z) + -0.5) * log(((1.0 - z) + 6.5)))))) * (((double) M_PI) / sin((z * ((double) M_PI)))));
}
public static double code(double z) {
return (((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (1.0 + (1.0 - z))))) + Math.exp(Math.log(((12.507343278686905 / (5.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (771.3234287776531 / (3.0 - z))))))) + ((-0.13857109526572012 / ((1.0 - z) + 5.0)) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0))))) * ((Math.sqrt((Math.PI * 2.0)) * Math.exp((((z + -1.0) + -6.5) + (((1.0 - z) + -0.5) * Math.log(((1.0 - z) + 6.5)))))) * (Math.PI / Math.sin((z * Math.PI))));
}
def code(z): return (((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (1.0 + (1.0 - z))))) + math.exp(math.log(((12.507343278686905 / (5.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (771.3234287776531 / (3.0 - z))))))) + ((-0.13857109526572012 / ((1.0 - z) + 5.0)) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0))))) * ((math.sqrt((math.pi * 2.0)) * math.exp((((z + -1.0) + -6.5) + (((1.0 - z) + -0.5) * math.log(((1.0 - z) + 6.5)))))) * (math.pi / math.sin((z * math.pi))))
function code(z) return Float64(Float64(Float64(Float64(0.9999999999998099 + Float64(Float64(676.5203681218851 / Float64(1.0 - z)) + Float64(-1259.1392167224028 / Float64(1.0 + Float64(1.0 - z))))) + exp(log(Float64(Float64(12.507343278686905 / Float64(5.0 - z)) + Float64(Float64(-176.6150291621406 / Float64(4.0 - z)) + Float64(771.3234287776531 / Float64(3.0 - z))))))) + Float64(Float64(-0.13857109526572012 / Float64(Float64(1.0 - z) + 5.0)) + Float64(Float64(9.984369578019572e-6 / Float64(Float64(1.0 - z) + 6.0)) + Float64(1.5056327351493116e-7 / Float64(Float64(1.0 - z) + 7.0))))) * Float64(Float64(sqrt(Float64(pi * 2.0)) * exp(Float64(Float64(Float64(z + -1.0) + -6.5) + Float64(Float64(Float64(1.0 - z) + -0.5) * log(Float64(Float64(1.0 - z) + 6.5)))))) * Float64(pi / sin(Float64(z * pi))))) end
function tmp = code(z) tmp = (((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (1.0 + (1.0 - z))))) + exp(log(((12.507343278686905 / (5.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (771.3234287776531 / (3.0 - z))))))) + ((-0.13857109526572012 / ((1.0 - z) + 5.0)) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0))))) * ((sqrt((pi * 2.0)) * exp((((z + -1.0) + -6.5) + (((1.0 - z) + -0.5) * log(((1.0 - z) + 6.5)))))) * (pi / sin((z * pi)))); end
code[z_] := N[(N[(N[(N[(0.9999999999998099 + N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + N[(-1259.1392167224028 / N[(1.0 + N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Exp[N[Log[N[(N[(12.507343278686905 / N[(5.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(-176.6150291621406 / N[(4.0 - z), $MachinePrecision]), $MachinePrecision] + N[(771.3234287776531 / N[(3.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[(N[(-0.13857109526572012 / N[(N[(1.0 - z), $MachinePrecision] + 5.0), $MachinePrecision]), $MachinePrecision] + N[(N[(9.984369578019572e-6 / N[(N[(1.0 - z), $MachinePrecision] + 6.0), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(N[(1.0 - z), $MachinePrecision] + 7.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(N[(N[(z + -1.0), $MachinePrecision] + -6.5), $MachinePrecision] + N[(N[(N[(1.0 - z), $MachinePrecision] + -0.5), $MachinePrecision] * N[Log[N[(N[(1.0 - z), $MachinePrecision] + 6.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(Pi / N[Sin[N[(z * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(0.9999999999998099 + \left(\frac{676.5203681218851}{1 - z} + \frac{-1259.1392167224028}{1 + \left(1 - z\right)}\right)\right) + e^{\log \left(\frac{12.507343278686905}{5 - z} + \left(\frac{-176.6150291621406}{4 - z} + \frac{771.3234287776531}{3 - z}\right)\right)}\right) + \left(\frac{-0.13857109526572012}{\left(1 - z\right) + 5} + \left(\frac{9.984369578019572 \cdot 10^{-6}}{\left(1 - z\right) + 6} + \frac{1.5056327351493116 \cdot 10^{-7}}{\left(1 - z\right) + 7}\right)\right)\right) \cdot \left(\left(\sqrt{\pi \cdot 2} \cdot e^{\left(\left(z + -1\right) + -6.5\right) + \left(\left(1 - z\right) + -0.5\right) \cdot \log \left(\left(1 - z\right) + 6.5\right)}\right) \cdot \frac{\pi}{\sin \left(z \cdot \pi\right)}\right)
\end{array}
Initial program 96.6%
Simplified98.2%
expm1-log1p-u98.2%
expm1-udef98.2%
associate-+r+98.2%
associate-+l-98.2%
Applied egg-rr98.2%
expm1-def98.2%
expm1-log1p98.2%
+-commutative98.2%
associate-+l+98.2%
+-commutative98.2%
associate-+r-98.2%
metadata-eval98.2%
associate--r-98.2%
+-commutative98.2%
+-commutative98.2%
associate-+r-98.2%
metadata-eval98.2%
Simplified98.2%
add-exp-log97.4%
*-commutative97.4%
log-prod97.4%
add-log-exp98.2%
distribute-neg-in98.2%
metadata-eval98.2%
log-pow98.2%
Applied egg-rr98.2%
add-exp-log99.3%
associate-+r+99.3%
associate-+r-99.3%
metadata-eval99.3%
Applied egg-rr99.3%
Final simplification99.3%
(FPCore (z)
:precision binary64
(*
(+
(+
(/ -0.13857109526572012 (+ (- 1.0 z) 5.0))
(+
(/ 9.984369578019572e-6 (+ (- 1.0 z) 6.0))
(/ 1.5056327351493116e-7 (+ (- 1.0 z) 7.0))))
(+
(+
0.9999999999998099
(+
(/ 676.5203681218851 (- 1.0 z))
(/ -1259.1392167224028 (+ 1.0 (- 1.0 z)))))
(+
(/ 12.507343278686905 (- 5.0 z))
(+ (/ -176.6150291621406 (- 4.0 z)) (/ 771.3234287776531 (- 3.0 z))))))
(*
(/ PI (sin (* z PI)))
(*
(sqrt (* PI 2.0))
(* (pow (- 7.5 z) (- 0.5 z)) (exp (+ (+ z -1.0) -6.5)))))))
double code(double z) {
return (((-0.13857109526572012 / ((1.0 - z) + 5.0)) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))) + ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (1.0 + (1.0 - z))))) + ((12.507343278686905 / (5.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (771.3234287776531 / (3.0 - z)))))) * ((((double) M_PI) / sin((z * ((double) M_PI)))) * (sqrt((((double) M_PI) * 2.0)) * (pow((7.5 - z), (0.5 - z)) * exp(((z + -1.0) + -6.5)))));
}
public static double code(double z) {
return (((-0.13857109526572012 / ((1.0 - z) + 5.0)) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))) + ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (1.0 + (1.0 - z))))) + ((12.507343278686905 / (5.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (771.3234287776531 / (3.0 - z)))))) * ((Math.PI / Math.sin((z * Math.PI))) * (Math.sqrt((Math.PI * 2.0)) * (Math.pow((7.5 - z), (0.5 - z)) * Math.exp(((z + -1.0) + -6.5)))));
}
def code(z): return (((-0.13857109526572012 / ((1.0 - z) + 5.0)) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))) + ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (1.0 + (1.0 - z))))) + ((12.507343278686905 / (5.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (771.3234287776531 / (3.0 - z)))))) * ((math.pi / math.sin((z * math.pi))) * (math.sqrt((math.pi * 2.0)) * (math.pow((7.5 - z), (0.5 - z)) * math.exp(((z + -1.0) + -6.5)))))
function code(z) return Float64(Float64(Float64(Float64(-0.13857109526572012 / Float64(Float64(1.0 - z) + 5.0)) + Float64(Float64(9.984369578019572e-6 / Float64(Float64(1.0 - z) + 6.0)) + Float64(1.5056327351493116e-7 / Float64(Float64(1.0 - z) + 7.0)))) + Float64(Float64(0.9999999999998099 + Float64(Float64(676.5203681218851 / Float64(1.0 - z)) + Float64(-1259.1392167224028 / Float64(1.0 + Float64(1.0 - z))))) + Float64(Float64(12.507343278686905 / Float64(5.0 - z)) + Float64(Float64(-176.6150291621406 / Float64(4.0 - z)) + Float64(771.3234287776531 / Float64(3.0 - z)))))) * Float64(Float64(pi / sin(Float64(z * pi))) * Float64(sqrt(Float64(pi * 2.0)) * Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * exp(Float64(Float64(z + -1.0) + -6.5)))))) end
function tmp = code(z) tmp = (((-0.13857109526572012 / ((1.0 - z) + 5.0)) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))) + ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (1.0 + (1.0 - z))))) + ((12.507343278686905 / (5.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (771.3234287776531 / (3.0 - z)))))) * ((pi / sin((z * pi))) * (sqrt((pi * 2.0)) * (((7.5 - z) ^ (0.5 - z)) * exp(((z + -1.0) + -6.5))))); end
code[z_] := N[(N[(N[(N[(-0.13857109526572012 / N[(N[(1.0 - z), $MachinePrecision] + 5.0), $MachinePrecision]), $MachinePrecision] + N[(N[(9.984369578019572e-6 / N[(N[(1.0 - z), $MachinePrecision] + 6.0), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(N[(1.0 - z), $MachinePrecision] + 7.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(0.9999999999998099 + N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + N[(-1259.1392167224028 / N[(1.0 + N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(12.507343278686905 / N[(5.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(-176.6150291621406 / N[(4.0 - z), $MachinePrecision]), $MachinePrecision] + N[(771.3234287776531 / N[(3.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(Pi / N[Sin[N[(z * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(N[(z + -1.0), $MachinePrecision] + -6.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\frac{-0.13857109526572012}{\left(1 - z\right) + 5} + \left(\frac{9.984369578019572 \cdot 10^{-6}}{\left(1 - z\right) + 6} + \frac{1.5056327351493116 \cdot 10^{-7}}{\left(1 - z\right) + 7}\right)\right) + \left(\left(0.9999999999998099 + \left(\frac{676.5203681218851}{1 - z} + \frac{-1259.1392167224028}{1 + \left(1 - z\right)}\right)\right) + \left(\frac{12.507343278686905}{5 - z} + \left(\frac{-176.6150291621406}{4 - z} + \frac{771.3234287776531}{3 - z}\right)\right)\right)\right) \cdot \left(\frac{\pi}{\sin \left(z \cdot \pi\right)} \cdot \left(\sqrt{\pi \cdot 2} \cdot \left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot e^{\left(z + -1\right) + -6.5}\right)\right)\right)
\end{array}
Initial program 96.6%
Simplified98.2%
expm1-log1p-u98.2%
expm1-udef98.2%
associate-+r+98.2%
associate-+l-98.2%
Applied egg-rr98.2%
expm1-def98.2%
expm1-log1p98.2%
+-commutative98.2%
associate-+l+98.2%
+-commutative98.2%
associate-+r-98.2%
metadata-eval98.2%
associate--r-98.2%
+-commutative98.2%
+-commutative98.2%
associate-+r-98.2%
metadata-eval98.2%
Simplified98.2%
expm1-log1p-u98.2%
expm1-udef88.3%
distribute-neg-in88.3%
metadata-eval88.3%
Applied egg-rr88.3%
expm1-def98.2%
expm1-log1p98.2%
+-commutative98.2%
associate-+r-98.2%
metadata-eval98.2%
+-commutative98.2%
associate-+r-98.2%
metadata-eval98.2%
neg-sub098.2%
associate--r-98.2%
metadata-eval98.2%
Simplified98.2%
expm1-log1p-u98.2%
expm1-udef98.2%
associate-+r+98.2%
associate-+r-98.2%
metadata-eval98.2%
Applied egg-rr98.2%
expm1-def98.2%
expm1-log1p98.2%
+-commutative98.2%
Simplified98.2%
Final simplification98.2%
(FPCore (z)
:precision binary64
(*
(+
(+
(/ -0.13857109526572012 (+ (- 1.0 z) 5.0))
(+
(/ 9.984369578019572e-6 (+ (- 1.0 z) 6.0))
(/ 1.5056327351493116e-7 (+ (- 1.0 z) 7.0))))
(+
(+
0.9999999999998099
(+
(/ 676.5203681218851 (- 1.0 z))
(/ -1259.1392167224028 (+ 1.0 (- 1.0 z)))))
(+
(/ -176.6150291621406 (- 4.0 z))
(+
(/ 12.507343278686905 (- 5.0 z))
(/ 771.3234287776531 (+ (- 1.0 z) 2.0))))))
(*
(/ PI (sin (* z PI)))
(* (sqrt (* PI 2.0)) (* (pow (- 7.5 z) (- 0.5 z)) (exp (+ z -7.5)))))))
double code(double z) {
return (((-0.13857109526572012 / ((1.0 - z) + 5.0)) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))) + ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (1.0 + (1.0 - z))))) + ((-176.6150291621406 / (4.0 - z)) + ((12.507343278686905 / (5.0 - z)) + (771.3234287776531 / ((1.0 - z) + 2.0)))))) * ((((double) M_PI) / sin((z * ((double) M_PI)))) * (sqrt((((double) M_PI) * 2.0)) * (pow((7.5 - z), (0.5 - z)) * exp((z + -7.5)))));
}
public static double code(double z) {
return (((-0.13857109526572012 / ((1.0 - z) + 5.0)) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))) + ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (1.0 + (1.0 - z))))) + ((-176.6150291621406 / (4.0 - z)) + ((12.507343278686905 / (5.0 - z)) + (771.3234287776531 / ((1.0 - z) + 2.0)))))) * ((Math.PI / Math.sin((z * Math.PI))) * (Math.sqrt((Math.PI * 2.0)) * (Math.pow((7.5 - z), (0.5 - z)) * Math.exp((z + -7.5)))));
}
def code(z): return (((-0.13857109526572012 / ((1.0 - z) + 5.0)) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))) + ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (1.0 + (1.0 - z))))) + ((-176.6150291621406 / (4.0 - z)) + ((12.507343278686905 / (5.0 - z)) + (771.3234287776531 / ((1.0 - z) + 2.0)))))) * ((math.pi / math.sin((z * math.pi))) * (math.sqrt((math.pi * 2.0)) * (math.pow((7.5 - z), (0.5 - z)) * math.exp((z + -7.5)))))
function code(z) return Float64(Float64(Float64(Float64(-0.13857109526572012 / Float64(Float64(1.0 - z) + 5.0)) + Float64(Float64(9.984369578019572e-6 / Float64(Float64(1.0 - z) + 6.0)) + Float64(1.5056327351493116e-7 / Float64(Float64(1.0 - z) + 7.0)))) + Float64(Float64(0.9999999999998099 + Float64(Float64(676.5203681218851 / Float64(1.0 - z)) + Float64(-1259.1392167224028 / Float64(1.0 + Float64(1.0 - z))))) + Float64(Float64(-176.6150291621406 / Float64(4.0 - z)) + Float64(Float64(12.507343278686905 / Float64(5.0 - z)) + Float64(771.3234287776531 / Float64(Float64(1.0 - z) + 2.0)))))) * Float64(Float64(pi / sin(Float64(z * pi))) * Float64(sqrt(Float64(pi * 2.0)) * Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * exp(Float64(z + -7.5)))))) end
function tmp = code(z) tmp = (((-0.13857109526572012 / ((1.0 - z) + 5.0)) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))) + ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (1.0 + (1.0 - z))))) + ((-176.6150291621406 / (4.0 - z)) + ((12.507343278686905 / (5.0 - z)) + (771.3234287776531 / ((1.0 - z) + 2.0)))))) * ((pi / sin((z * pi))) * (sqrt((pi * 2.0)) * (((7.5 - z) ^ (0.5 - z)) * exp((z + -7.5))))); end
code[z_] := N[(N[(N[(N[(-0.13857109526572012 / N[(N[(1.0 - z), $MachinePrecision] + 5.0), $MachinePrecision]), $MachinePrecision] + N[(N[(9.984369578019572e-6 / N[(N[(1.0 - z), $MachinePrecision] + 6.0), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(N[(1.0 - z), $MachinePrecision] + 7.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(0.9999999999998099 + N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + N[(-1259.1392167224028 / N[(1.0 + N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(-176.6150291621406 / N[(4.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(12.507343278686905 / N[(5.0 - z), $MachinePrecision]), $MachinePrecision] + N[(771.3234287776531 / N[(N[(1.0 - z), $MachinePrecision] + 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(Pi / N[Sin[N[(z * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\frac{-0.13857109526572012}{\left(1 - z\right) + 5} + \left(\frac{9.984369578019572 \cdot 10^{-6}}{\left(1 - z\right) + 6} + \frac{1.5056327351493116 \cdot 10^{-7}}{\left(1 - z\right) + 7}\right)\right) + \left(\left(0.9999999999998099 + \left(\frac{676.5203681218851}{1 - z} + \frac{-1259.1392167224028}{1 + \left(1 - z\right)}\right)\right) + \left(\frac{-176.6150291621406}{4 - z} + \left(\frac{12.507343278686905}{5 - z} + \frac{771.3234287776531}{\left(1 - z\right) + 2}\right)\right)\right)\right) \cdot \left(\frac{\pi}{\sin \left(z \cdot \pi\right)} \cdot \left(\sqrt{\pi \cdot 2} \cdot \left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot e^{z + -7.5}\right)\right)\right)
\end{array}
Initial program 96.6%
Simplified98.2%
expm1-log1p-u98.2%
expm1-udef98.2%
associate-+r+98.2%
associate-+l-98.2%
Applied egg-rr98.2%
expm1-def98.2%
expm1-log1p98.2%
+-commutative98.2%
associate-+l+98.2%
+-commutative98.2%
associate-+r-98.2%
metadata-eval98.2%
associate--r-98.2%
+-commutative98.2%
+-commutative98.2%
associate-+r-98.2%
metadata-eval98.2%
Simplified98.2%
expm1-log1p-u98.2%
expm1-udef88.3%
distribute-neg-in88.3%
metadata-eval88.3%
Applied egg-rr88.3%
expm1-def98.2%
expm1-log1p98.2%
+-commutative98.2%
associate-+r-98.2%
metadata-eval98.2%
+-commutative98.2%
associate-+r-98.2%
metadata-eval98.2%
neg-sub098.2%
associate--r-98.2%
metadata-eval98.2%
Simplified98.2%
Taylor expanded in z around inf 98.2%
exp-to-pow98.2%
sub-neg98.2%
metadata-eval98.2%
+-commutative98.2%
Simplified98.2%
Final simplification98.2%
(FPCore (z)
:precision binary64
(*
(+
(+
(+
0.9999999999998099
(+
(/ 676.5203681218851 (- 1.0 z))
(/ -1259.1392167224028 (+ 1.0 (- 1.0 z)))))
(exp
(log
(+
(/ 12.507343278686905 (- 5.0 z))
(+ (/ -176.6150291621406 (- 4.0 z)) (/ 771.3234287776531 (- 3.0 z)))))))
(+
(/ -0.13857109526572012 (+ (- 1.0 z) 5.0))
(+
(/ 9.984369578019572e-6 (+ (- 1.0 z) 6.0))
(/ 1.5056327351493116e-7 (+ (- 1.0 z) 7.0)))))
(*
(*
(sqrt (* PI 2.0))
(exp
(+ (+ (+ z -1.0) -6.5) (* (+ (- 1.0 z) -0.5) (log (+ (- 1.0 z) 6.5))))))
(/ 1.0 z))))
double code(double z) {
return (((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (1.0 + (1.0 - z))))) + exp(log(((12.507343278686905 / (5.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (771.3234287776531 / (3.0 - z))))))) + ((-0.13857109526572012 / ((1.0 - z) + 5.0)) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0))))) * ((sqrt((((double) M_PI) * 2.0)) * exp((((z + -1.0) + -6.5) + (((1.0 - z) + -0.5) * log(((1.0 - z) + 6.5)))))) * (1.0 / z));
}
public static double code(double z) {
return (((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (1.0 + (1.0 - z))))) + Math.exp(Math.log(((12.507343278686905 / (5.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (771.3234287776531 / (3.0 - z))))))) + ((-0.13857109526572012 / ((1.0 - z) + 5.0)) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0))))) * ((Math.sqrt((Math.PI * 2.0)) * Math.exp((((z + -1.0) + -6.5) + (((1.0 - z) + -0.5) * Math.log(((1.0 - z) + 6.5)))))) * (1.0 / z));
}
def code(z): return (((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (1.0 + (1.0 - z))))) + math.exp(math.log(((12.507343278686905 / (5.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (771.3234287776531 / (3.0 - z))))))) + ((-0.13857109526572012 / ((1.0 - z) + 5.0)) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0))))) * ((math.sqrt((math.pi * 2.0)) * math.exp((((z + -1.0) + -6.5) + (((1.0 - z) + -0.5) * math.log(((1.0 - z) + 6.5)))))) * (1.0 / z))
function code(z) return Float64(Float64(Float64(Float64(0.9999999999998099 + Float64(Float64(676.5203681218851 / Float64(1.0 - z)) + Float64(-1259.1392167224028 / Float64(1.0 + Float64(1.0 - z))))) + exp(log(Float64(Float64(12.507343278686905 / Float64(5.0 - z)) + Float64(Float64(-176.6150291621406 / Float64(4.0 - z)) + Float64(771.3234287776531 / Float64(3.0 - z))))))) + Float64(Float64(-0.13857109526572012 / Float64(Float64(1.0 - z) + 5.0)) + Float64(Float64(9.984369578019572e-6 / Float64(Float64(1.0 - z) + 6.0)) + Float64(1.5056327351493116e-7 / Float64(Float64(1.0 - z) + 7.0))))) * Float64(Float64(sqrt(Float64(pi * 2.0)) * exp(Float64(Float64(Float64(z + -1.0) + -6.5) + Float64(Float64(Float64(1.0 - z) + -0.5) * log(Float64(Float64(1.0 - z) + 6.5)))))) * Float64(1.0 / z))) end
function tmp = code(z) tmp = (((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (1.0 + (1.0 - z))))) + exp(log(((12.507343278686905 / (5.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (771.3234287776531 / (3.0 - z))))))) + ((-0.13857109526572012 / ((1.0 - z) + 5.0)) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0))))) * ((sqrt((pi * 2.0)) * exp((((z + -1.0) + -6.5) + (((1.0 - z) + -0.5) * log(((1.0 - z) + 6.5)))))) * (1.0 / z)); end
code[z_] := N[(N[(N[(N[(0.9999999999998099 + N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + N[(-1259.1392167224028 / N[(1.0 + N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[Exp[N[Log[N[(N[(12.507343278686905 / N[(5.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(-176.6150291621406 / N[(4.0 - z), $MachinePrecision]), $MachinePrecision] + N[(771.3234287776531 / N[(3.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[(N[(-0.13857109526572012 / N[(N[(1.0 - z), $MachinePrecision] + 5.0), $MachinePrecision]), $MachinePrecision] + N[(N[(9.984369578019572e-6 / N[(N[(1.0 - z), $MachinePrecision] + 6.0), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(N[(1.0 - z), $MachinePrecision] + 7.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(N[(N[(z + -1.0), $MachinePrecision] + -6.5), $MachinePrecision] + N[(N[(N[(1.0 - z), $MachinePrecision] + -0.5), $MachinePrecision] * N[Log[N[(N[(1.0 - z), $MachinePrecision] + 6.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(1.0 / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(0.9999999999998099 + \left(\frac{676.5203681218851}{1 - z} + \frac{-1259.1392167224028}{1 + \left(1 - z\right)}\right)\right) + e^{\log \left(\frac{12.507343278686905}{5 - z} + \left(\frac{-176.6150291621406}{4 - z} + \frac{771.3234287776531}{3 - z}\right)\right)}\right) + \left(\frac{-0.13857109526572012}{\left(1 - z\right) + 5} + \left(\frac{9.984369578019572 \cdot 10^{-6}}{\left(1 - z\right) + 6} + \frac{1.5056327351493116 \cdot 10^{-7}}{\left(1 - z\right) + 7}\right)\right)\right) \cdot \left(\left(\sqrt{\pi \cdot 2} \cdot e^{\left(\left(z + -1\right) + -6.5\right) + \left(\left(1 - z\right) + -0.5\right) \cdot \log \left(\left(1 - z\right) + 6.5\right)}\right) \cdot \frac{1}{z}\right)
\end{array}
Initial program 96.6%
Simplified98.2%
expm1-log1p-u98.2%
expm1-udef98.2%
associate-+r+98.2%
associate-+l-98.2%
Applied egg-rr98.2%
expm1-def98.2%
expm1-log1p98.2%
+-commutative98.2%
associate-+l+98.2%
+-commutative98.2%
associate-+r-98.2%
metadata-eval98.2%
associate--r-98.2%
+-commutative98.2%
+-commutative98.2%
associate-+r-98.2%
metadata-eval98.2%
Simplified98.2%
add-exp-log97.4%
*-commutative97.4%
log-prod97.4%
add-log-exp98.2%
distribute-neg-in98.2%
metadata-eval98.2%
log-pow98.2%
Applied egg-rr98.2%
add-exp-log99.3%
associate-+r+99.3%
associate-+r-99.3%
metadata-eval99.3%
Applied egg-rr99.3%
Taylor expanded in z around 0 96.8%
Final simplification96.8%
(FPCore (z)
:precision binary64
(*
(+
(+
(/ -0.13857109526572012 (+ (- 1.0 z) 5.0))
(+
(/ 9.984369578019572e-6 (+ (- 1.0 z) 6.0))
(/ 1.5056327351493116e-7 (+ (- 1.0 z) 7.0))))
(+
(+
(/ -176.6150291621406 (- 4.0 z))
(+
(/ 12.507343278686905 (- 5.0 z))
(/ 771.3234287776531 (+ (- 1.0 z) 2.0))))
(+ 0.9999999999998099 (+ 46.9507597606837 (* z 361.7355639412844)))))
(*
(*
(sqrt (* PI 2.0))
(* (pow (- 7.5 z) (- 0.5 z)) (exp (+ (+ z -1.0) -6.5))))
(/ 1.0 z))))
double code(double z) {
return (((-0.13857109526572012 / ((1.0 - z) + 5.0)) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))) + (((-176.6150291621406 / (4.0 - z)) + ((12.507343278686905 / (5.0 - z)) + (771.3234287776531 / ((1.0 - z) + 2.0)))) + (0.9999999999998099 + (46.9507597606837 + (z * 361.7355639412844))))) * ((sqrt((((double) M_PI) * 2.0)) * (pow((7.5 - z), (0.5 - z)) * exp(((z + -1.0) + -6.5)))) * (1.0 / z));
}
public static double code(double z) {
return (((-0.13857109526572012 / ((1.0 - z) + 5.0)) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))) + (((-176.6150291621406 / (4.0 - z)) + ((12.507343278686905 / (5.0 - z)) + (771.3234287776531 / ((1.0 - z) + 2.0)))) + (0.9999999999998099 + (46.9507597606837 + (z * 361.7355639412844))))) * ((Math.sqrt((Math.PI * 2.0)) * (Math.pow((7.5 - z), (0.5 - z)) * Math.exp(((z + -1.0) + -6.5)))) * (1.0 / z));
}
def code(z): return (((-0.13857109526572012 / ((1.0 - z) + 5.0)) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))) + (((-176.6150291621406 / (4.0 - z)) + ((12.507343278686905 / (5.0 - z)) + (771.3234287776531 / ((1.0 - z) + 2.0)))) + (0.9999999999998099 + (46.9507597606837 + (z * 361.7355639412844))))) * ((math.sqrt((math.pi * 2.0)) * (math.pow((7.5 - z), (0.5 - z)) * math.exp(((z + -1.0) + -6.5)))) * (1.0 / z))
function code(z) return Float64(Float64(Float64(Float64(-0.13857109526572012 / Float64(Float64(1.0 - z) + 5.0)) + Float64(Float64(9.984369578019572e-6 / Float64(Float64(1.0 - z) + 6.0)) + Float64(1.5056327351493116e-7 / Float64(Float64(1.0 - z) + 7.0)))) + Float64(Float64(Float64(-176.6150291621406 / Float64(4.0 - z)) + Float64(Float64(12.507343278686905 / Float64(5.0 - z)) + Float64(771.3234287776531 / Float64(Float64(1.0 - z) + 2.0)))) + Float64(0.9999999999998099 + Float64(46.9507597606837 + Float64(z * 361.7355639412844))))) * Float64(Float64(sqrt(Float64(pi * 2.0)) * Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * exp(Float64(Float64(z + -1.0) + -6.5)))) * Float64(1.0 / z))) end
function tmp = code(z) tmp = (((-0.13857109526572012 / ((1.0 - z) + 5.0)) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))) + (((-176.6150291621406 / (4.0 - z)) + ((12.507343278686905 / (5.0 - z)) + (771.3234287776531 / ((1.0 - z) + 2.0)))) + (0.9999999999998099 + (46.9507597606837 + (z * 361.7355639412844))))) * ((sqrt((pi * 2.0)) * (((7.5 - z) ^ (0.5 - z)) * exp(((z + -1.0) + -6.5)))) * (1.0 / z)); end
code[z_] := N[(N[(N[(N[(-0.13857109526572012 / N[(N[(1.0 - z), $MachinePrecision] + 5.0), $MachinePrecision]), $MachinePrecision] + N[(N[(9.984369578019572e-6 / N[(N[(1.0 - z), $MachinePrecision] + 6.0), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(N[(1.0 - z), $MachinePrecision] + 7.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(-176.6150291621406 / N[(4.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(12.507343278686905 / N[(5.0 - z), $MachinePrecision]), $MachinePrecision] + N[(771.3234287776531 / N[(N[(1.0 - z), $MachinePrecision] + 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.9999999999998099 + N[(46.9507597606837 + N[(z * 361.7355639412844), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 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[(N[(z + -1.0), $MachinePrecision] + -6.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\frac{-0.13857109526572012}{\left(1 - z\right) + 5} + \left(\frac{9.984369578019572 \cdot 10^{-6}}{\left(1 - z\right) + 6} + \frac{1.5056327351493116 \cdot 10^{-7}}{\left(1 - z\right) + 7}\right)\right) + \left(\left(\frac{-176.6150291621406}{4 - z} + \left(\frac{12.507343278686905}{5 - z} + \frac{771.3234287776531}{\left(1 - z\right) + 2}\right)\right) + \left(0.9999999999998099 + \left(46.9507597606837 + z \cdot 361.7355639412844\right)\right)\right)\right) \cdot \left(\left(\sqrt{\pi \cdot 2} \cdot \left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot e^{\left(z + -1\right) + -6.5}\right)\right) \cdot \frac{1}{z}\right)
\end{array}
Initial program 96.6%
Simplified98.2%
expm1-log1p-u98.2%
expm1-udef98.2%
associate-+r+98.2%
associate-+l-98.2%
Applied egg-rr98.2%
expm1-def98.2%
expm1-log1p98.2%
+-commutative98.2%
associate-+l+98.2%
+-commutative98.2%
associate-+r-98.2%
metadata-eval98.2%
associate--r-98.2%
+-commutative98.2%
+-commutative98.2%
associate-+r-98.2%
metadata-eval98.2%
Simplified98.2%
expm1-log1p-u98.2%
expm1-udef88.3%
distribute-neg-in88.3%
metadata-eval88.3%
Applied egg-rr88.3%
expm1-def98.2%
expm1-log1p98.2%
+-commutative98.2%
associate-+r-98.2%
metadata-eval98.2%
+-commutative98.2%
associate-+r-98.2%
metadata-eval98.2%
neg-sub098.2%
associate--r-98.2%
metadata-eval98.2%
Simplified98.2%
Taylor expanded in z around 0 96.1%
*-commutative96.1%
Simplified96.1%
Taylor expanded in z around 0 96.2%
Final simplification96.2%
(FPCore (z)
:precision binary64
(*
(* (sqrt (* PI 2.0)) (* (exp -7.5) (sqrt 7.5)))
(*
(/ 1.0 z)
(+
(+
(+ (/ 9.984369578019572e-6 (- 7.0 z)) (/ 1.5056327351493116e-7 (- 8.0 z)))
(+
(/ 771.3234287776531 (- 3.0 z))
(+
0.9999999999998099
(+ (/ 676.5203681218851 (- 1.0 z)) (/ -1259.1392167224028 (- 2.0 z))))))
(-
(/ -0.13857109526572012 (- 6.0 z))
(- 41.65228863479777 (* z -10.53814559148631)))))))
double code(double z) {
return (sqrt((((double) M_PI) * 2.0)) * (exp(-7.5) * sqrt(7.5))) * ((1.0 / z) * ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + ((771.3234287776531 / (3.0 - z)) + (0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z)))))) + ((-0.13857109526572012 / (6.0 - z)) - (41.65228863479777 - (z * -10.53814559148631)))));
}
public static double code(double z) {
return (Math.sqrt((Math.PI * 2.0)) * (Math.exp(-7.5) * Math.sqrt(7.5))) * ((1.0 / z) * ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + ((771.3234287776531 / (3.0 - z)) + (0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z)))))) + ((-0.13857109526572012 / (6.0 - z)) - (41.65228863479777 - (z * -10.53814559148631)))));
}
def code(z): return (math.sqrt((math.pi * 2.0)) * (math.exp(-7.5) * math.sqrt(7.5))) * ((1.0 / z) * ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + ((771.3234287776531 / (3.0 - z)) + (0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z)))))) + ((-0.13857109526572012 / (6.0 - z)) - (41.65228863479777 - (z * -10.53814559148631)))))
function code(z) return Float64(Float64(sqrt(Float64(pi * 2.0)) * Float64(exp(-7.5) * sqrt(7.5))) * Float64(Float64(1.0 / z) * Float64(Float64(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(0.9999999999998099 + Float64(Float64(676.5203681218851 / Float64(1.0 - z)) + Float64(-1259.1392167224028 / Float64(2.0 - z)))))) + Float64(Float64(-0.13857109526572012 / Float64(6.0 - z)) - Float64(41.65228863479777 - Float64(z * -10.53814559148631)))))) end
function tmp = code(z) tmp = (sqrt((pi * 2.0)) * (exp(-7.5) * sqrt(7.5))) * ((1.0 / z) * ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + ((771.3234287776531 / (3.0 - z)) + (0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z)))))) + ((-0.13857109526572012 / (6.0 - z)) - (41.65228863479777 - (z * -10.53814559148631))))); end
code[z_] := N[(N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[Exp[-7.5], $MachinePrecision] * N[Sqrt[7.5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 / z), $MachinePrecision] * N[(N[(N[(N[(9.984369578019572e-6 / N[(7.0 - z), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(8.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(771.3234287776531 / N[(3.0 - z), $MachinePrecision]), $MachinePrecision] + N[(0.9999999999998099 + N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(-0.13857109526572012 / N[(6.0 - z), $MachinePrecision]), $MachinePrecision] - N[(41.65228863479777 - N[(z * -10.53814559148631), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\sqrt{\pi \cdot 2} \cdot \left(e^{-7.5} \cdot \sqrt{7.5}\right)\right) \cdot \left(\frac{1}{z} \cdot \left(\left(\left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \frac{1.5056327351493116 \cdot 10^{-7}}{8 - z}\right) + \left(\frac{771.3234287776531}{3 - z} + \left(0.9999999999998099 + \left(\frac{676.5203681218851}{1 - z} + \frac{-1259.1392167224028}{2 - z}\right)\right)\right)\right) + \left(\frac{-0.13857109526572012}{6 - z} - \left(41.65228863479777 - z \cdot -10.53814559148631\right)\right)\right)\right)
\end{array}
Initial program 96.6%
Simplified96.6%
Taylor expanded in z around 0 93.4%
Taylor expanded in z around 0 93.4%
Taylor expanded in z around 0 93.3%
Final simplification93.3%
(FPCore (z) :precision binary64 (* (* (sqrt (* PI 2.0)) (* (pow (- 7.5 z) (- 0.5 z)) (exp (+ z -7.5)))) (/ 6.298471125885741 z)))
double code(double z) {
return (sqrt((((double) M_PI) * 2.0)) * (pow((7.5 - z), (0.5 - z)) * exp((z + -7.5)))) * (6.298471125885741 / z);
}
public static double code(double z) {
return (Math.sqrt((Math.PI * 2.0)) * (Math.pow((7.5 - z), (0.5 - z)) * Math.exp((z + -7.5)))) * (6.298471125885741 / z);
}
def code(z): return (math.sqrt((math.pi * 2.0)) * (math.pow((7.5 - z), (0.5 - z)) * math.exp((z + -7.5)))) * (6.298471125885741 / z)
function code(z) return Float64(Float64(sqrt(Float64(pi * 2.0)) * Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * exp(Float64(z + -7.5)))) * Float64(6.298471125885741 / z)) end
function tmp = code(z) tmp = (sqrt((pi * 2.0)) * (((7.5 - z) ^ (0.5 - z)) * exp((z + -7.5)))) * (6.298471125885741 / z); end
code[z_] := N[(N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(6.298471125885741 / z), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\sqrt{\pi \cdot 2} \cdot \left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot e^{z + -7.5}\right)\right) \cdot \frac{6.298471125885741}{z}
\end{array}
Initial program 96.6%
Simplified96.6%
Taylor expanded in z around 0 93.9%
Taylor expanded in z around 0 93.3%
Taylor expanded in z around inf 14.8%
Taylor expanded in z around 0 14.8%
Final simplification14.8%
herbie shell --seed 2024013
(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))))))