
(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 12 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (z)
:precision binary64
(let* ((t_0 (- (- 1.0 z) 1.0)) (t_1 (+ t_0 7.0)) (t_2 (+ t_1 0.5)))
(*
(/ PI (sin (* PI z)))
(*
(* (* (sqrt (* PI 2.0)) (pow t_2 (+ t_0 0.5))) (exp (- t_2)))
(+
(+
(+
(+
(+
(+
(+
(+ 0.9999999999998099 (/ 676.5203681218851 (+ t_0 1.0)))
(/ -1259.1392167224028 (+ t_0 2.0)))
(/ 771.3234287776531 (+ t_0 3.0)))
(/ -176.6150291621406 (+ t_0 4.0)))
(/ 12.507343278686905 (+ t_0 5.0)))
(/ -0.13857109526572012 (+ t_0 6.0)))
(/ 9.984369578019572e-6 t_1))
(/ 1.5056327351493116e-7 (+ t_0 8.0)))))))
double code(double z) {
double t_0 = (1.0 - z) - 1.0;
double t_1 = t_0 + 7.0;
double t_2 = t_1 + 0.5;
return (((double) M_PI) / sin((((double) M_PI) * z))) * (((sqrt((((double) M_PI) * 2.0)) * pow(t_2, (t_0 + 0.5))) * exp(-t_2)) * ((((((((0.9999999999998099 + (676.5203681218851 / (t_0 + 1.0))) + (-1259.1392167224028 / (t_0 + 2.0))) + (771.3234287776531 / (t_0 + 3.0))) + (-176.6150291621406 / (t_0 + 4.0))) + (12.507343278686905 / (t_0 + 5.0))) + (-0.13857109526572012 / (t_0 + 6.0))) + (9.984369578019572e-6 / t_1)) + (1.5056327351493116e-7 / (t_0 + 8.0))));
}
public static double code(double z) {
double t_0 = (1.0 - z) - 1.0;
double t_1 = t_0 + 7.0;
double t_2 = t_1 + 0.5;
return (Math.PI / Math.sin((Math.PI * z))) * (((Math.sqrt((Math.PI * 2.0)) * Math.pow(t_2, (t_0 + 0.5))) * Math.exp(-t_2)) * ((((((((0.9999999999998099 + (676.5203681218851 / (t_0 + 1.0))) + (-1259.1392167224028 / (t_0 + 2.0))) + (771.3234287776531 / (t_0 + 3.0))) + (-176.6150291621406 / (t_0 + 4.0))) + (12.507343278686905 / (t_0 + 5.0))) + (-0.13857109526572012 / (t_0 + 6.0))) + (9.984369578019572e-6 / t_1)) + (1.5056327351493116e-7 / (t_0 + 8.0))));
}
def code(z): t_0 = (1.0 - z) - 1.0 t_1 = t_0 + 7.0 t_2 = t_1 + 0.5 return (math.pi / math.sin((math.pi * z))) * (((math.sqrt((math.pi * 2.0)) * math.pow(t_2, (t_0 + 0.5))) * math.exp(-t_2)) * ((((((((0.9999999999998099 + (676.5203681218851 / (t_0 + 1.0))) + (-1259.1392167224028 / (t_0 + 2.0))) + (771.3234287776531 / (t_0 + 3.0))) + (-176.6150291621406 / (t_0 + 4.0))) + (12.507343278686905 / (t_0 + 5.0))) + (-0.13857109526572012 / (t_0 + 6.0))) + (9.984369578019572e-6 / t_1)) + (1.5056327351493116e-7 / (t_0 + 8.0))))
function code(z) t_0 = Float64(Float64(1.0 - z) - 1.0) t_1 = Float64(t_0 + 7.0) t_2 = Float64(t_1 + 0.5) return Float64(Float64(pi / sin(Float64(pi * z))) * Float64(Float64(Float64(sqrt(Float64(pi * 2.0)) * (t_2 ^ Float64(t_0 + 0.5))) * exp(Float64(-t_2))) * Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(0.9999999999998099 + Float64(676.5203681218851 / Float64(t_0 + 1.0))) + Float64(-1259.1392167224028 / Float64(t_0 + 2.0))) + Float64(771.3234287776531 / Float64(t_0 + 3.0))) + Float64(-176.6150291621406 / Float64(t_0 + 4.0))) + Float64(12.507343278686905 / Float64(t_0 + 5.0))) + Float64(-0.13857109526572012 / Float64(t_0 + 6.0))) + Float64(9.984369578019572e-6 / t_1)) + Float64(1.5056327351493116e-7 / Float64(t_0 + 8.0))))) end
function tmp = code(z) t_0 = (1.0 - z) - 1.0; t_1 = t_0 + 7.0; t_2 = t_1 + 0.5; tmp = (pi / sin((pi * z))) * (((sqrt((pi * 2.0)) * (t_2 ^ (t_0 + 0.5))) * exp(-t_2)) * ((((((((0.9999999999998099 + (676.5203681218851 / (t_0 + 1.0))) + (-1259.1392167224028 / (t_0 + 2.0))) + (771.3234287776531 / (t_0 + 3.0))) + (-176.6150291621406 / (t_0 + 4.0))) + (12.507343278686905 / (t_0 + 5.0))) + (-0.13857109526572012 / (t_0 + 6.0))) + (9.984369578019572e-6 / t_1)) + (1.5056327351493116e-7 / (t_0 + 8.0)))); end
code[z_] := Block[{t$95$0 = N[(N[(1.0 - z), $MachinePrecision] - 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(t$95$0 + 7.0), $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 + 0.5), $MachinePrecision]}, N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[Power[t$95$2, N[(t$95$0 + 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Exp[(-t$95$2)], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(N[(N[(N[(N[(0.9999999999998099 + N[(676.5203681218851 / N[(t$95$0 + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-1259.1392167224028 / N[(t$95$0 + 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(771.3234287776531 / N[(t$95$0 + 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-176.6150291621406 / N[(t$95$0 + 4.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(12.507343278686905 / N[(t$95$0 + 5.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(t$95$0 + 6.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(9.984369578019572e-6 / t$95$1), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(t$95$0 + 8.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(1 - z\right) - 1\\
t_1 := t_0 + 7\\
t_2 := t_1 + 0.5\\
\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\sqrt{\pi \cdot 2} \cdot {t_2}^{\left(t_0 + 0.5\right)}\right) \cdot e^{-t_2}\right) \cdot \left(\left(\left(\left(\left(\left(\left(\left(0.9999999999998099 + \frac{676.5203681218851}{t_0 + 1}\right) + \frac{-1259.1392167224028}{t_0 + 2}\right) + \frac{771.3234287776531}{t_0 + 3}\right) + \frac{-176.6150291621406}{t_0 + 4}\right) + \frac{12.507343278686905}{t_0 + 5}\right) + \frac{-0.13857109526572012}{t_0 + 6}\right) + \frac{9.984369578019572 \cdot 10^{-6}}{t_1}\right) + \frac{1.5056327351493116 \cdot 10^{-7}}{t_0 + 8}\right)\right)
\end{array}
\end{array}
(FPCore (z)
:precision binary64
(*
(*
(/ PI (sin (* PI z)))
(* (pow (- 7.5 z) (- 0.5 z)) (* (exp (+ z -7.5)) (sqrt (* PI 2.0)))))
(+
(+
(+ 0.9999999999998099 (/ 676.5203681218851 (- 1.0 z)))
(+
(/ -1259.1392167224028 (+ 1.0 (- 1.0 z)))
(+ (/ -176.6150291621406 (- 4.0 z)) (/ 771.3234287776531 (- 3.0 z)))))
(+
(+
(/ 12.507343278686905 (- (- 1.0 z) -4.0))
(/ -0.13857109526572012 (- 1.0 (+ z -5.0))))
(+
(/ 9.984369578019572e-6 (+ (- 1.0 z) 6.0))
(/ 1.5056327351493116e-7 (+ (- 1.0 z) 7.0)))))))
double code(double z) {
return ((((double) M_PI) / sin((((double) M_PI) * z))) * (pow((7.5 - z), (0.5 - z)) * (exp((z + -7.5)) * sqrt((((double) M_PI) * 2.0))))) * (((0.9999999999998099 + (676.5203681218851 / (1.0 - z))) + ((-1259.1392167224028 / (1.0 + (1.0 - z))) + ((-176.6150291621406 / (4.0 - z)) + (771.3234287776531 / (3.0 - z))))) + (((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / (1.0 - (z + -5.0)))) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))));
}
public static double code(double z) {
return ((Math.PI / Math.sin((Math.PI * z))) * (Math.pow((7.5 - z), (0.5 - z)) * (Math.exp((z + -7.5)) * Math.sqrt((Math.PI * 2.0))))) * (((0.9999999999998099 + (676.5203681218851 / (1.0 - z))) + ((-1259.1392167224028 / (1.0 + (1.0 - z))) + ((-176.6150291621406 / (4.0 - z)) + (771.3234287776531 / (3.0 - z))))) + (((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / (1.0 - (z + -5.0)))) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))));
}
def code(z): return ((math.pi / math.sin((math.pi * z))) * (math.pow((7.5 - z), (0.5 - z)) * (math.exp((z + -7.5)) * math.sqrt((math.pi * 2.0))))) * (((0.9999999999998099 + (676.5203681218851 / (1.0 - z))) + ((-1259.1392167224028 / (1.0 + (1.0 - z))) + ((-176.6150291621406 / (4.0 - z)) + (771.3234287776531 / (3.0 - z))))) + (((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / (1.0 - (z + -5.0)))) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))))
function code(z) return Float64(Float64(Float64(pi / sin(Float64(pi * z))) * Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * Float64(exp(Float64(z + -7.5)) * sqrt(Float64(pi * 2.0))))) * Float64(Float64(Float64(0.9999999999998099 + Float64(676.5203681218851 / Float64(1.0 - z))) + Float64(Float64(-1259.1392167224028 / Float64(1.0 + Float64(1.0 - z))) + Float64(Float64(-176.6150291621406 / Float64(4.0 - z)) + Float64(771.3234287776531 / Float64(3.0 - z))))) + Float64(Float64(Float64(12.507343278686905 / Float64(Float64(1.0 - z) - -4.0)) + Float64(-0.13857109526572012 / Float64(1.0 - Float64(z + -5.0)))) + Float64(Float64(9.984369578019572e-6 / Float64(Float64(1.0 - z) + 6.0)) + Float64(1.5056327351493116e-7 / Float64(Float64(1.0 - z) + 7.0)))))) end
function tmp = code(z) tmp = ((pi / sin((pi * z))) * (((7.5 - z) ^ (0.5 - z)) * (exp((z + -7.5)) * sqrt((pi * 2.0))))) * (((0.9999999999998099 + (676.5203681218851 / (1.0 - z))) + ((-1259.1392167224028 / (1.0 + (1.0 - z))) + ((-176.6150291621406 / (4.0 - z)) + (771.3234287776531 / (3.0 - z))))) + (((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / (1.0 - (z + -5.0)))) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0))))); end
code[z_] := N[(N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[(N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision] * N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(0.9999999999998099 + N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(-1259.1392167224028 / N[(1.0 + N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(-176.6150291621406 / N[(4.0 - z), $MachinePrecision]), $MachinePrecision] + N[(771.3234287776531 / N[(3.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(12.507343278686905 / N[(N[(1.0 - z), $MachinePrecision] - -4.0), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(1.0 - N[(z + -5.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(9.984369578019572e-6 / N[(N[(1.0 - z), $MachinePrecision] + 6.0), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(N[(1.0 - z), $MachinePrecision] + 7.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot \left(e^{z + -7.5} \cdot \sqrt{\pi \cdot 2}\right)\right)\right) \cdot \left(\left(\left(0.9999999999998099 + \frac{676.5203681218851}{1 - z}\right) + \left(\frac{-1259.1392167224028}{1 + \left(1 - z\right)} + \left(\frac{-176.6150291621406}{4 - z} + \frac{771.3234287776531}{3 - z}\right)\right)\right) + \left(\left(\frac{12.507343278686905}{\left(1 - z\right) - -4} + \frac{-0.13857109526572012}{1 - \left(z + -5\right)}\right) + \left(\frac{9.984369578019572 \cdot 10^{-6}}{\left(1 - z\right) + 6} + \frac{1.5056327351493116 \cdot 10^{-7}}{\left(1 - z\right) + 7}\right)\right)\right)
\end{array}
Initial program 96.5%
Simplified98.1%
Applied egg-rr89.2%
expm1-def98.1%
expm1-log1p98.1%
*-commutative98.1%
fma-udef98.1%
neg-mul-198.1%
+-commutative98.1%
sub-neg98.1%
exp-to-pow98.1%
associate-*l*98.1%
exp-to-pow98.1%
*-commutative98.1%
*-commutative98.1%
fma-udef98.1%
neg-mul-198.1%
distribute-neg-in98.1%
Simplified98.1%
Applied egg-rr96.1%
expm1-def96.1%
expm1-log1p98.1%
+-commutative98.1%
Simplified98.1%
*-un-lft-identity98.1%
Applied egg-rr98.1%
*-lft-identity98.1%
+-commutative98.1%
+-commutative98.1%
associate--r+98.1%
metadata-eval98.1%
+-commutative98.1%
associate--r+98.1%
metadata-eval98.1%
Simplified98.1%
Final simplification98.1%
(FPCore (z)
:precision binary64
(*
(*
(/ PI (sin (* PI z)))
(* (pow (- 7.5 z) (- 0.5 z)) (* (exp (+ z -7.5)) (sqrt (* PI 2.0)))))
(+
(+ 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))))
(/ -0.13857109526572012 (- 6.0 z))))
(+
(/ 9.984369578019572e-6 (- 7.0 z))
(/ 1.5056327351493116e-7 (- 8.0 z)))))))
double code(double z) {
return ((((double) M_PI) / sin((((double) M_PI) * z))) * (pow((7.5 - z), (0.5 - z)) * (exp((z + -7.5)) * sqrt((((double) M_PI) * 2.0))))) * ((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)))) + (-0.13857109526572012 / (6.0 - z)))) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z)))));
}
public static double code(double z) {
return ((Math.PI / Math.sin((Math.PI * z))) * (Math.pow((7.5 - z), (0.5 - z)) * (Math.exp((z + -7.5)) * Math.sqrt((Math.PI * 2.0))))) * ((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)))) + (-0.13857109526572012 / (6.0 - z)))) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z)))));
}
def code(z): return ((math.pi / math.sin((math.pi * z))) * (math.pow((7.5 - z), (0.5 - z)) * (math.exp((z + -7.5)) * math.sqrt((math.pi * 2.0))))) * ((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)))) + (-0.13857109526572012 / (6.0 - z)))) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z)))))
function code(z) return Float64(Float64(Float64(pi / sin(Float64(pi * z))) * Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * Float64(exp(Float64(z + -7.5)) * sqrt(Float64(pi * 2.0))))) * Float64(Float64(0.9999999999998099 + Float64(676.5203681218851 / Float64(1.0 - z))) + Float64(Float64(Float64(-1259.1392167224028 / Float64(2.0 - z)) + Float64(Float64(Float64(771.3234287776531 / Float64(3.0 - z)) + Float64(Float64(-176.6150291621406 / Float64(4.0 - z)) + Float64(12.507343278686905 / Float64(5.0 - z)))) + Float64(-0.13857109526572012 / Float64(6.0 - z)))) + Float64(Float64(9.984369578019572e-6 / Float64(7.0 - z)) + Float64(1.5056327351493116e-7 / Float64(8.0 - z)))))) end
function tmp = code(z) tmp = ((pi / sin((pi * z))) * (((7.5 - z) ^ (0.5 - z)) * (exp((z + -7.5)) * sqrt((pi * 2.0))))) * ((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)))) + (-0.13857109526572012 / (6.0 - z)))) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))))); end
code[z_] := N[(N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[(N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision] * N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(0.9999999999998099 + N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision] + N[(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] + N[(-0.13857109526572012 / N[(6.0 - z), $MachinePrecision]), $MachinePrecision]), $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]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot \left(e^{z + -7.5} \cdot \sqrt{\pi \cdot 2}\right)\right)\right) \cdot \left(\left(0.9999999999998099 + \frac{676.5203681218851}{1 - z}\right) + \left(\left(\frac{-1259.1392167224028}{2 - z} + \left(\left(\frac{771.3234287776531}{3 - z} + \left(\frac{-176.6150291621406}{4 - z} + \frac{12.507343278686905}{5 - z}\right)\right) + \frac{-0.13857109526572012}{6 - z}\right)\right) + \left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \frac{1.5056327351493116 \cdot 10^{-7}}{8 - z}\right)\right)\right)
\end{array}
Initial program 96.5%
Simplified98.1%
Applied egg-rr89.2%
expm1-def98.1%
expm1-log1p98.1%
*-commutative98.1%
fma-udef98.1%
neg-mul-198.1%
+-commutative98.1%
sub-neg98.1%
exp-to-pow98.1%
associate-*l*98.1%
exp-to-pow98.1%
*-commutative98.1%
*-commutative98.1%
fma-udef98.1%
neg-mul-198.1%
distribute-neg-in98.1%
Simplified98.1%
Applied egg-rr96.1%
Simplified98.1%
Final simplification98.1%
(FPCore (z)
:precision binary64
(*
(*
(/ PI (sin (* PI z)))
(* (pow (- 7.5 z) (- 0.5 z)) (* (exp (+ z -7.5)) (sqrt (* PI 2.0)))))
(+
(+ 0.9999999999998099 (/ 676.5203681218851 (- 1.0 z)))
(+
(+ (/ 9.984369578019572e-6 (- 7.0 z)) (/ 1.5056327351493116e-7 (- 8.0 z)))
(+
(/ -1259.1392167224028 (- 2.0 z))
(+
(/ -0.13857109526572012 (- 6.0 z))
(+
(/ 771.3234287776531 (- 3.0 z))
(- (* z -10.53814559148631) 41.65228863479777))))))))
double code(double z) {
return ((((double) M_PI) / sin((((double) M_PI) * z))) * (pow((7.5 - z), (0.5 - z)) * (exp((z + -7.5)) * sqrt((((double) M_PI) * 2.0))))) * ((0.9999999999998099 + (676.5203681218851 / (1.0 - z))) + (((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + ((-1259.1392167224028 / (2.0 - z)) + ((-0.13857109526572012 / (6.0 - z)) + ((771.3234287776531 / (3.0 - z)) + ((z * -10.53814559148631) - 41.65228863479777))))));
}
public static double code(double z) {
return ((Math.PI / Math.sin((Math.PI * z))) * (Math.pow((7.5 - z), (0.5 - z)) * (Math.exp((z + -7.5)) * Math.sqrt((Math.PI * 2.0))))) * ((0.9999999999998099 + (676.5203681218851 / (1.0 - z))) + (((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + ((-1259.1392167224028 / (2.0 - z)) + ((-0.13857109526572012 / (6.0 - z)) + ((771.3234287776531 / (3.0 - z)) + ((z * -10.53814559148631) - 41.65228863479777))))));
}
def code(z): return ((math.pi / math.sin((math.pi * z))) * (math.pow((7.5 - z), (0.5 - z)) * (math.exp((z + -7.5)) * math.sqrt((math.pi * 2.0))))) * ((0.9999999999998099 + (676.5203681218851 / (1.0 - z))) + (((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + ((-1259.1392167224028 / (2.0 - z)) + ((-0.13857109526572012 / (6.0 - z)) + ((771.3234287776531 / (3.0 - z)) + ((z * -10.53814559148631) - 41.65228863479777))))))
function code(z) return Float64(Float64(Float64(pi / sin(Float64(pi * z))) * Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * Float64(exp(Float64(z + -7.5)) * sqrt(Float64(pi * 2.0))))) * Float64(Float64(0.9999999999998099 + Float64(676.5203681218851 / Float64(1.0 - z))) + Float64(Float64(Float64(9.984369578019572e-6 / Float64(7.0 - z)) + Float64(1.5056327351493116e-7 / Float64(8.0 - z))) + Float64(Float64(-1259.1392167224028 / Float64(2.0 - z)) + Float64(Float64(-0.13857109526572012 / Float64(6.0 - z)) + Float64(Float64(771.3234287776531 / Float64(3.0 - z)) + Float64(Float64(z * -10.53814559148631) - 41.65228863479777))))))) end
function tmp = code(z) tmp = ((pi / sin((pi * z))) * (((7.5 - z) ^ (0.5 - z)) * (exp((z + -7.5)) * sqrt((pi * 2.0))))) * ((0.9999999999998099 + (676.5203681218851 / (1.0 - z))) + (((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + ((-1259.1392167224028 / (2.0 - z)) + ((-0.13857109526572012 / (6.0 - z)) + ((771.3234287776531 / (3.0 - z)) + ((z * -10.53814559148631) - 41.65228863479777)))))); end
code[z_] := N[(N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[(N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision] * N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(0.9999999999998099 + N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(9.984369578019572e-6 / N[(7.0 - z), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(8.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(-0.13857109526572012 / N[(6.0 - 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]
\begin{array}{l}
\\
\left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot \left(e^{z + -7.5} \cdot \sqrt{\pi \cdot 2}\right)\right)\right) \cdot \left(\left(0.9999999999998099 + \frac{676.5203681218851}{1 - z}\right) + \left(\left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \frac{1.5056327351493116 \cdot 10^{-7}}{8 - z}\right) + \left(\frac{-1259.1392167224028}{2 - z} + \left(\frac{-0.13857109526572012}{6 - z} + \left(\frac{771.3234287776531}{3 - z} + \left(z \cdot -10.53814559148631 - 41.65228863479777\right)\right)\right)\right)\right)\right)
\end{array}
Initial program 96.5%
Simplified98.1%
Applied egg-rr89.2%
expm1-def98.1%
expm1-log1p98.1%
*-commutative98.1%
fma-udef98.1%
neg-mul-198.1%
+-commutative98.1%
sub-neg98.1%
exp-to-pow98.1%
associate-*l*98.1%
exp-to-pow98.1%
*-commutative98.1%
*-commutative98.1%
fma-udef98.1%
neg-mul-198.1%
distribute-neg-in98.1%
Simplified98.1%
Applied egg-rr96.1%
Simplified98.1%
Taylor expanded in z around 0 96.9%
Final simplification96.9%
(FPCore (z) :precision binary64 (* (+ 263.3831869810514 (* z 436.8961725563396)) (* (/ (pow PI 1.5) (sin (* PI z))) (* (sqrt 2.0) (* (pow (- 7.5 z) (- 0.5 z)) (exp (+ z -7.5)))))))
double code(double z) {
return (263.3831869810514 + (z * 436.8961725563396)) * ((pow(((double) M_PI), 1.5) / sin((((double) M_PI) * z))) * (sqrt(2.0) * (pow((7.5 - z), (0.5 - z)) * exp((z + -7.5)))));
}
public static double code(double z) {
return (263.3831869810514 + (z * 436.8961725563396)) * ((Math.pow(Math.PI, 1.5) / Math.sin((Math.PI * z))) * (Math.sqrt(2.0) * (Math.pow((7.5 - z), (0.5 - z)) * Math.exp((z + -7.5)))));
}
def code(z): return (263.3831869810514 + (z * 436.8961725563396)) * ((math.pow(math.pi, 1.5) / math.sin((math.pi * z))) * (math.sqrt(2.0) * (math.pow((7.5 - z), (0.5 - z)) * math.exp((z + -7.5)))))
function code(z) return Float64(Float64(263.3831869810514 + Float64(z * 436.8961725563396)) * Float64(Float64((pi ^ 1.5) / sin(Float64(pi * z))) * Float64(sqrt(2.0) * Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * exp(Float64(z + -7.5)))))) end
function tmp = code(z) tmp = (263.3831869810514 + (z * 436.8961725563396)) * (((pi ^ 1.5) / sin((pi * z))) * (sqrt(2.0) * (((7.5 - z) ^ (0.5 - z)) * exp((z + -7.5))))); end
code[z_] := N[(N[(263.3831869810514 + N[(z * 436.8961725563396), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Power[Pi, 1.5], $MachinePrecision] / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $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(263.3831869810514 + z \cdot 436.8961725563396\right) \cdot \left(\frac{{\pi}^{1.5}}{\sin \left(\pi \cdot z\right)} \cdot \left(\sqrt{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 96.5%
Simplified95.8%
Taylor expanded in z around 0 96.7%
*-commutative96.7%
Simplified96.7%
associate-*r/96.8%
associate-*l*96.0%
neg-mul-196.0%
fma-def96.0%
*-commutative96.0%
Applied egg-rr96.0%
associate-/l*95.8%
+-commutative95.8%
fma-udef95.8%
mul-1-neg95.8%
+-commutative95.8%
sub-neg95.8%
*-commutative95.8%
Simplified95.8%
Taylor expanded in z around inf 96.7%
Simplified96.7%
Final simplification96.7%
(FPCore (z) :precision binary64 (* (+ 263.3831869810514 (* z 436.8961725563396)) (* (exp (+ z -7.5)) (/ (* (* PI (pow (- 7.5 z) (- 0.5 z))) (sqrt (* PI 2.0))) (sin (* PI z))))))
double code(double z) {
return (263.3831869810514 + (z * 436.8961725563396)) * (exp((z + -7.5)) * (((((double) M_PI) * pow((7.5 - z), (0.5 - z))) * sqrt((((double) M_PI) * 2.0))) / sin((((double) M_PI) * z))));
}
public static double code(double z) {
return (263.3831869810514 + (z * 436.8961725563396)) * (Math.exp((z + -7.5)) * (((Math.PI * Math.pow((7.5 - z), (0.5 - z))) * Math.sqrt((Math.PI * 2.0))) / Math.sin((Math.PI * z))));
}
def code(z): return (263.3831869810514 + (z * 436.8961725563396)) * (math.exp((z + -7.5)) * (((math.pi * math.pow((7.5 - z), (0.5 - z))) * math.sqrt((math.pi * 2.0))) / math.sin((math.pi * z))))
function code(z) return Float64(Float64(263.3831869810514 + Float64(z * 436.8961725563396)) * Float64(exp(Float64(z + -7.5)) * Float64(Float64(Float64(pi * (Float64(7.5 - z) ^ Float64(0.5 - z))) * sqrt(Float64(pi * 2.0))) / sin(Float64(pi * z))))) end
function tmp = code(z) tmp = (263.3831869810514 + (z * 436.8961725563396)) * (exp((z + -7.5)) * (((pi * ((7.5 - z) ^ (0.5 - z))) * sqrt((pi * 2.0))) / sin((pi * z)))); end
code[z_] := N[(N[(263.3831869810514 + N[(z * 436.8961725563396), $MachinePrecision]), $MachinePrecision] * N[(N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision] * N[(N[(N[(Pi * N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(263.3831869810514 + z \cdot 436.8961725563396\right) \cdot \left(e^{z + -7.5} \cdot \frac{\left(\pi \cdot {\left(7.5 - z\right)}^{\left(0.5 - z\right)}\right) \cdot \sqrt{\pi \cdot 2}}{\sin \left(\pi \cdot z\right)}\right)
\end{array}
Initial program 96.5%
Simplified95.8%
Taylor expanded in z around 0 96.7%
*-commutative96.7%
Simplified96.7%
Final simplification96.7%
(FPCore (z)
:precision binary64
(*
(+
(+
(+ 0.9999999999998099 (/ 676.5203681218851 (- 1.0 z)))
(+
(/ -1259.1392167224028 (+ 1.0 (- 1.0 z)))
(+ (/ -176.6150291621406 (- 4.0 z)) (/ 771.3234287776531 (- 3.0 z)))))
(+
(+
(/ 12.507343278686905 (- (- 1.0 z) -4.0))
(/ -0.13857109526572012 (- 1.0 (+ z -5.0))))
(+
(/ 9.984369578019572e-6 (+ (- 1.0 z) 6.0))
(/ 1.5056327351493116e-7 (+ (- 1.0 z) 7.0)))))
(*
(* (pow (- 7.5 z) (- 0.5 z)) (* (exp (+ z -7.5)) (sqrt (* PI 2.0))))
(/ PI (* PI z)))))
double code(double z) {
return (((0.9999999999998099 + (676.5203681218851 / (1.0 - z))) + ((-1259.1392167224028 / (1.0 + (1.0 - z))) + ((-176.6150291621406 / (4.0 - z)) + (771.3234287776531 / (3.0 - z))))) + (((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / (1.0 - (z + -5.0)))) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0))))) * ((pow((7.5 - z), (0.5 - z)) * (exp((z + -7.5)) * sqrt((((double) M_PI) * 2.0)))) * (((double) M_PI) / (((double) M_PI) * z)));
}
public static double code(double z) {
return (((0.9999999999998099 + (676.5203681218851 / (1.0 - z))) + ((-1259.1392167224028 / (1.0 + (1.0 - z))) + ((-176.6150291621406 / (4.0 - z)) + (771.3234287776531 / (3.0 - z))))) + (((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / (1.0 - (z + -5.0)))) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0))))) * ((Math.pow((7.5 - z), (0.5 - z)) * (Math.exp((z + -7.5)) * Math.sqrt((Math.PI * 2.0)))) * (Math.PI / (Math.PI * z)));
}
def code(z): return (((0.9999999999998099 + (676.5203681218851 / (1.0 - z))) + ((-1259.1392167224028 / (1.0 + (1.0 - z))) + ((-176.6150291621406 / (4.0 - z)) + (771.3234287776531 / (3.0 - z))))) + (((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / (1.0 - (z + -5.0)))) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0))))) * ((math.pow((7.5 - z), (0.5 - z)) * (math.exp((z + -7.5)) * math.sqrt((math.pi * 2.0)))) * (math.pi / (math.pi * z)))
function code(z) return Float64(Float64(Float64(Float64(0.9999999999998099 + Float64(676.5203681218851 / Float64(1.0 - z))) + Float64(Float64(-1259.1392167224028 / Float64(1.0 + Float64(1.0 - z))) + Float64(Float64(-176.6150291621406 / Float64(4.0 - z)) + Float64(771.3234287776531 / Float64(3.0 - z))))) + Float64(Float64(Float64(12.507343278686905 / Float64(Float64(1.0 - z) - -4.0)) + Float64(-0.13857109526572012 / Float64(1.0 - Float64(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(7.5 - z) ^ Float64(0.5 - z)) * Float64(exp(Float64(z + -7.5)) * sqrt(Float64(pi * 2.0)))) * Float64(pi / Float64(pi * z)))) end
function tmp = code(z) tmp = (((0.9999999999998099 + (676.5203681218851 / (1.0 - z))) + ((-1259.1392167224028 / (1.0 + (1.0 - z))) + ((-176.6150291621406 / (4.0 - z)) + (771.3234287776531 / (3.0 - z))))) + (((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / (1.0 - (z + -5.0)))) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0))))) * ((((7.5 - z) ^ (0.5 - z)) * (exp((z + -7.5)) * sqrt((pi * 2.0)))) * (pi / (pi * z))); end
code[z_] := N[(N[(N[(N[(0.9999999999998099 + N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(-1259.1392167224028 / N[(1.0 + N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(-176.6150291621406 / N[(4.0 - z), $MachinePrecision]), $MachinePrecision] + N[(771.3234287776531 / N[(3.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(12.507343278686905 / N[(N[(1.0 - z), $MachinePrecision] - -4.0), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(1.0 - N[(z + -5.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(9.984369578019572e-6 / N[(N[(1.0 - z), $MachinePrecision] + 6.0), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(N[(1.0 - z), $MachinePrecision] + 7.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[(N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision] * N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(Pi / N[(Pi * z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(0.9999999999998099 + \frac{676.5203681218851}{1 - z}\right) + \left(\frac{-1259.1392167224028}{1 + \left(1 - z\right)} + \left(\frac{-176.6150291621406}{4 - z} + \frac{771.3234287776531}{3 - z}\right)\right)\right) + \left(\left(\frac{12.507343278686905}{\left(1 - z\right) - -4} + \frac{-0.13857109526572012}{1 - \left(z + -5\right)}\right) + \left(\frac{9.984369578019572 \cdot 10^{-6}}{\left(1 - z\right) + 6} + \frac{1.5056327351493116 \cdot 10^{-7}}{\left(1 - z\right) + 7}\right)\right)\right) \cdot \left(\left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot \left(e^{z + -7.5} \cdot \sqrt{\pi \cdot 2}\right)\right) \cdot \frac{\pi}{\pi \cdot z}\right)
\end{array}
Initial program 96.5%
Simplified98.1%
Applied egg-rr89.2%
expm1-def98.1%
expm1-log1p98.1%
*-commutative98.1%
fma-udef98.1%
neg-mul-198.1%
+-commutative98.1%
sub-neg98.1%
exp-to-pow98.1%
associate-*l*98.1%
exp-to-pow98.1%
*-commutative98.1%
*-commutative98.1%
fma-udef98.1%
neg-mul-198.1%
distribute-neg-in98.1%
Simplified98.1%
Applied egg-rr96.1%
expm1-def96.1%
expm1-log1p98.1%
+-commutative98.1%
Simplified98.1%
*-un-lft-identity98.1%
Applied egg-rr98.1%
*-lft-identity98.1%
+-commutative98.1%
+-commutative98.1%
associate--r+98.1%
metadata-eval98.1%
+-commutative98.1%
associate--r+98.1%
metadata-eval98.1%
Simplified98.1%
Taylor expanded in z around 0 96.5%
*-commutative95.7%
Simplified96.5%
Final simplification96.5%
(FPCore (z) :precision binary64 (* (+ 263.3831869810514 (* z 436.8961725563396)) (/ (exp (+ z -7.5)) (/ (* PI z) (* PI (* (pow (- 7.5 z) (- 0.5 z)) (sqrt (* PI 2.0))))))))
double code(double z) {
return (263.3831869810514 + (z * 436.8961725563396)) * (exp((z + -7.5)) / ((((double) M_PI) * z) / (((double) M_PI) * (pow((7.5 - z), (0.5 - z)) * sqrt((((double) M_PI) * 2.0))))));
}
public static double code(double z) {
return (263.3831869810514 + (z * 436.8961725563396)) * (Math.exp((z + -7.5)) / ((Math.PI * z) / (Math.PI * (Math.pow((7.5 - z), (0.5 - z)) * Math.sqrt((Math.PI * 2.0))))));
}
def code(z): return (263.3831869810514 + (z * 436.8961725563396)) * (math.exp((z + -7.5)) / ((math.pi * z) / (math.pi * (math.pow((7.5 - z), (0.5 - z)) * math.sqrt((math.pi * 2.0))))))
function code(z) return Float64(Float64(263.3831869810514 + Float64(z * 436.8961725563396)) * Float64(exp(Float64(z + -7.5)) / Float64(Float64(pi * z) / Float64(pi * Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * sqrt(Float64(pi * 2.0))))))) end
function tmp = code(z) tmp = (263.3831869810514 + (z * 436.8961725563396)) * (exp((z + -7.5)) / ((pi * z) / (pi * (((7.5 - z) ^ (0.5 - z)) * sqrt((pi * 2.0)))))); end
code[z_] := N[(N[(263.3831869810514 + N[(z * 436.8961725563396), $MachinePrecision]), $MachinePrecision] * N[(N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision] / N[(N[(Pi * z), $MachinePrecision] / N[(Pi * N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(263.3831869810514 + z \cdot 436.8961725563396\right) \cdot \frac{e^{z + -7.5}}{\frac{\pi \cdot z}{\pi \cdot \left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot \sqrt{\pi \cdot 2}\right)}}
\end{array}
Initial program 96.5%
Simplified95.8%
Taylor expanded in z around 0 96.7%
*-commutative96.7%
Simplified96.7%
associate-*r/96.8%
associate-*l*96.0%
neg-mul-196.0%
fma-def96.0%
*-commutative96.0%
Applied egg-rr96.0%
associate-/l*95.8%
+-commutative95.8%
fma-udef95.8%
mul-1-neg95.8%
+-commutative95.8%
sub-neg95.8%
*-commutative95.8%
Simplified95.8%
Taylor expanded in z around 0 95.7%
*-commutative95.7%
Simplified95.7%
Final simplification95.7%
(FPCore (z) :precision binary64 (* (sqrt PI) (/ (* 263.3831869810514 (* (sqrt 2.0) (* (exp -7.5) (sqrt 7.5)))) z)))
double code(double z) {
return sqrt(((double) M_PI)) * ((263.3831869810514 * (sqrt(2.0) * (exp(-7.5) * sqrt(7.5)))) / z);
}
public static double code(double z) {
return Math.sqrt(Math.PI) * ((263.3831869810514 * (Math.sqrt(2.0) * (Math.exp(-7.5) * Math.sqrt(7.5)))) / z);
}
def code(z): return math.sqrt(math.pi) * ((263.3831869810514 * (math.sqrt(2.0) * (math.exp(-7.5) * math.sqrt(7.5)))) / z)
function code(z) return Float64(sqrt(pi) * Float64(Float64(263.3831869810514 * Float64(sqrt(2.0) * Float64(exp(-7.5) * sqrt(7.5)))) / z)) end
function tmp = code(z) tmp = sqrt(pi) * ((263.3831869810514 * (sqrt(2.0) * (exp(-7.5) * sqrt(7.5)))) / z); end
code[z_] := N[(N[Sqrt[Pi], $MachinePrecision] * N[(N[(263.3831869810514 * N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Exp[-7.5], $MachinePrecision] * N[Sqrt[7.5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / z), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt{\pi} \cdot \frac{263.3831869810514 \cdot \left(\sqrt{2} \cdot \left(e^{-7.5} \cdot \sqrt{7.5}\right)\right)}{z}
\end{array}
Initial program 96.5%
Simplified95.8%
Taylor expanded in z around 0 96.7%
*-commutative96.7%
Simplified96.7%
Taylor expanded in z around 0 95.1%
associate-*r*95.1%
*-commutative95.1%
associate-*r/95.5%
associate-*r*95.5%
*-commutative95.5%
associate-*l*95.5%
Simplified95.5%
Final simplification95.5%
(FPCore (z) :precision binary64 (* 263.3831869810514 (* (sqrt PI) (* (exp -7.5) (/ (sqrt 15.0) z)))))
double code(double z) {
return 263.3831869810514 * (sqrt(((double) M_PI)) * (exp(-7.5) * (sqrt(15.0) / z)));
}
public static double code(double z) {
return 263.3831869810514 * (Math.sqrt(Math.PI) * (Math.exp(-7.5) * (Math.sqrt(15.0) / z)));
}
def code(z): return 263.3831869810514 * (math.sqrt(math.pi) * (math.exp(-7.5) * (math.sqrt(15.0) / z)))
function code(z) return Float64(263.3831869810514 * Float64(sqrt(pi) * Float64(exp(-7.5) * Float64(sqrt(15.0) / z)))) end
function tmp = code(z) tmp = 263.3831869810514 * (sqrt(pi) * (exp(-7.5) * (sqrt(15.0) / z))); end
code[z_] := N[(263.3831869810514 * N[(N[Sqrt[Pi], $MachinePrecision] * N[(N[Exp[-7.5], $MachinePrecision] * N[(N[Sqrt[15.0], $MachinePrecision] / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
263.3831869810514 \cdot \left(\sqrt{\pi} \cdot \left(e^{-7.5} \cdot \frac{\sqrt{15}}{z}\right)\right)
\end{array}
Initial program 96.5%
Simplified95.8%
Taylor expanded in z around 0 95.4%
Taylor expanded in z around 0 95.1%
add-log-exp6.0%
associate-/l*6.0%
sqrt-unprod6.0%
metadata-eval6.0%
Applied egg-rr6.0%
Taylor expanded in z around 0 95.1%
associate-/l*95.3%
*-rgt-identity95.3%
associate-*r/95.2%
associate-/r/95.2%
associate-*l/95.3%
*-lft-identity95.3%
Simplified95.3%
Final simplification95.3%
(FPCore (z) :precision binary64 (* 263.3831869810514 (* (sqrt PI) (* (/ (exp -7.5) z) (sqrt 15.0)))))
double code(double z) {
return 263.3831869810514 * (sqrt(((double) M_PI)) * ((exp(-7.5) / z) * sqrt(15.0)));
}
public static double code(double z) {
return 263.3831869810514 * (Math.sqrt(Math.PI) * ((Math.exp(-7.5) / z) * Math.sqrt(15.0)));
}
def code(z): return 263.3831869810514 * (math.sqrt(math.pi) * ((math.exp(-7.5) / z) * math.sqrt(15.0)))
function code(z) return Float64(263.3831869810514 * Float64(sqrt(pi) * Float64(Float64(exp(-7.5) / z) * sqrt(15.0)))) end
function tmp = code(z) tmp = 263.3831869810514 * (sqrt(pi) * ((exp(-7.5) / z) * sqrt(15.0))); end
code[z_] := N[(263.3831869810514 * N[(N[Sqrt[Pi], $MachinePrecision] * N[(N[(N[Exp[-7.5], $MachinePrecision] / z), $MachinePrecision] * N[Sqrt[15.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
263.3831869810514 \cdot \left(\sqrt{\pi} \cdot \left(\frac{e^{-7.5}}{z} \cdot \sqrt{15}\right)\right)
\end{array}
Initial program 96.5%
Simplified95.8%
Taylor expanded in z around 0 95.4%
Taylor expanded in z around 0 95.1%
*-un-lft-identity95.1%
associate-/l*95.3%
sqrt-unprod95.3%
metadata-eval95.3%
Applied egg-rr95.3%
*-lft-identity95.3%
associate-/r/95.4%
Simplified95.4%
Final simplification95.4%
(FPCore (z) :precision binary64 (* (* 263.3831869810514 (sqrt PI)) (* (/ (exp -7.5) z) (sqrt 15.0))))
double code(double z) {
return (263.3831869810514 * sqrt(((double) M_PI))) * ((exp(-7.5) / z) * sqrt(15.0));
}
public static double code(double z) {
return (263.3831869810514 * Math.sqrt(Math.PI)) * ((Math.exp(-7.5) / z) * Math.sqrt(15.0));
}
def code(z): return (263.3831869810514 * math.sqrt(math.pi)) * ((math.exp(-7.5) / z) * math.sqrt(15.0))
function code(z) return Float64(Float64(263.3831869810514 * sqrt(pi)) * Float64(Float64(exp(-7.5) / z) * sqrt(15.0))) end
function tmp = code(z) tmp = (263.3831869810514 * sqrt(pi)) * ((exp(-7.5) / z) * sqrt(15.0)); end
code[z_] := N[(N[(263.3831869810514 * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Exp[-7.5], $MachinePrecision] / z), $MachinePrecision] * N[Sqrt[15.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(263.3831869810514 \cdot \sqrt{\pi}\right) \cdot \left(\frac{e^{-7.5}}{z} \cdot \sqrt{15}\right)
\end{array}
Initial program 96.5%
Simplified95.8%
Taylor expanded in z around 0 95.4%
Taylor expanded in z around 0 95.1%
pow195.1%
*-commutative95.1%
associate-/l*95.3%
sqrt-unprod95.3%
metadata-eval95.3%
Applied egg-rr95.3%
unpow195.3%
associate-*r*95.4%
associate-/r/95.5%
Simplified95.5%
Final simplification95.5%
(FPCore (z) :precision binary64 (* (* 263.3831869810514 (/ (exp -7.5) z)) (sqrt (* PI 15.0))))
double code(double z) {
return (263.3831869810514 * (exp(-7.5) / z)) * sqrt((((double) M_PI) * 15.0));
}
public static double code(double z) {
return (263.3831869810514 * (Math.exp(-7.5) / z)) * Math.sqrt((Math.PI * 15.0));
}
def code(z): return (263.3831869810514 * (math.exp(-7.5) / z)) * math.sqrt((math.pi * 15.0))
function code(z) return Float64(Float64(263.3831869810514 * Float64(exp(-7.5) / z)) * sqrt(Float64(pi * 15.0))) end
function tmp = code(z) tmp = (263.3831869810514 * (exp(-7.5) / z)) * sqrt((pi * 15.0)); end
code[z_] := N[(N[(263.3831869810514 * N[(N[Exp[-7.5], $MachinePrecision] / z), $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(Pi * 15.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(263.3831869810514 \cdot \frac{e^{-7.5}}{z}\right) \cdot \sqrt{\pi \cdot 15}
\end{array}
Initial program 96.5%
Simplified95.8%
Taylor expanded in z around 0 95.4%
Taylor expanded in z around 0 95.1%
*-un-lft-identity95.1%
associate-/l*95.3%
sqrt-unprod95.3%
metadata-eval95.3%
Applied egg-rr95.3%
*-lft-identity95.3%
associate-/r/95.4%
Simplified95.4%
expm1-log1p-u41.2%
expm1-udef41.2%
associate-*l*41.2%
pow1/241.2%
pow1/241.2%
pow-prod-down41.2%
Applied egg-rr41.2%
expm1-def41.2%
expm1-log1p95.0%
associate-*r*95.0%
unpow1/295.0%
*-commutative95.0%
Simplified95.0%
Final simplification95.0%
herbie shell --seed 2023283
(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))))))