
(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 11 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 (- 2.0 z)) (/ 771.3234287776531 (- 3.0 z)))
(/ -176.6150291621406 (- 4.0 z)))))
(+
(+ (/ 9.984369578019572e-6 (- 7.0 z)) (/ 1.5056327351493116e-7 (- 8.0 z)))
(+ (/ 12.507343278686905 (- 5.0 z)) (/ -0.13857109526572012 (- 6.0 z)))))
(/
(*
PI
(* (sqrt (* 2.0 PI)) (exp (+ (+ z -7.5) (* (- 0.5 z) (log (- 7.5 z)))))))
(sin (* z PI)))))
double code(double z) {
return ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (((-1259.1392167224028 / (2.0 - z)) + (771.3234287776531 / (3.0 - z))) + (-176.6150291621406 / (4.0 - z))))) + (((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + ((12.507343278686905 / (5.0 - z)) + (-0.13857109526572012 / (6.0 - z))))) * ((((double) M_PI) * (sqrt((2.0 * ((double) M_PI))) * exp(((z + -7.5) + ((0.5 - z) * log((7.5 - z))))))) / sin((z * ((double) M_PI))));
}
public static double code(double z) {
return ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (((-1259.1392167224028 / (2.0 - z)) + (771.3234287776531 / (3.0 - z))) + (-176.6150291621406 / (4.0 - z))))) + (((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + ((12.507343278686905 / (5.0 - z)) + (-0.13857109526572012 / (6.0 - z))))) * ((Math.PI * (Math.sqrt((2.0 * Math.PI)) * Math.exp(((z + -7.5) + ((0.5 - z) * Math.log((7.5 - z))))))) / Math.sin((z * Math.PI)));
}
def code(z): return ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (((-1259.1392167224028 / (2.0 - z)) + (771.3234287776531 / (3.0 - z))) + (-176.6150291621406 / (4.0 - z))))) + (((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + ((12.507343278686905 / (5.0 - z)) + (-0.13857109526572012 / (6.0 - z))))) * ((math.pi * (math.sqrt((2.0 * math.pi)) * math.exp(((z + -7.5) + ((0.5 - z) * math.log((7.5 - z))))))) / math.sin((z * math.pi)))
function code(z) return Float64(Float64(Float64(0.9999999999998099 + Float64(Float64(676.5203681218851 / Float64(1.0 - z)) + Float64(Float64(Float64(-1259.1392167224028 / Float64(2.0 - z)) + Float64(771.3234287776531 / Float64(3.0 - z))) + Float64(-176.6150291621406 / Float64(4.0 - z))))) + Float64(Float64(Float64(9.984369578019572e-6 / Float64(7.0 - z)) + Float64(1.5056327351493116e-7 / Float64(8.0 - z))) + Float64(Float64(12.507343278686905 / Float64(5.0 - z)) + Float64(-0.13857109526572012 / Float64(6.0 - z))))) * Float64(Float64(pi * Float64(sqrt(Float64(2.0 * pi)) * exp(Float64(Float64(z + -7.5) + Float64(Float64(0.5 - z) * log(Float64(7.5 - z))))))) / sin(Float64(z * pi)))) end
function tmp = code(z) tmp = ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (((-1259.1392167224028 / (2.0 - z)) + (771.3234287776531 / (3.0 - z))) + (-176.6150291621406 / (4.0 - z))))) + (((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + ((12.507343278686905 / (5.0 - z)) + (-0.13857109526572012 / (6.0 - z))))) * ((pi * (sqrt((2.0 * pi)) * exp(((z + -7.5) + ((0.5 - z) * log((7.5 - z))))))) / sin((z * pi))); end
code[z_] := N[(N[(N[(0.9999999999998099 + N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision] + N[(771.3234287776531 / N[(3.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-176.6150291621406 / N[(4.0 - z), $MachinePrecision]), $MachinePrecision]), $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[(12.507343278686905 / N[(5.0 - z), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(6.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(Pi * N[(N[Sqrt[N[(2.0 * Pi), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(N[(z + -7.5), $MachinePrecision] + N[(N[(0.5 - z), $MachinePrecision] * N[Log[N[(7.5 - z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sin[N[(z * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(0.9999999999998099 + \left(\frac{676.5203681218851}{1 - z} + \left(\left(\frac{-1259.1392167224028}{2 - z} + \frac{771.3234287776531}{3 - z}\right) + \frac{-176.6150291621406}{4 - z}\right)\right)\right) + \left(\left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \frac{1.5056327351493116 \cdot 10^{-7}}{8 - z}\right) + \left(\frac{12.507343278686905}{5 - z} + \frac{-0.13857109526572012}{6 - z}\right)\right)\right) \cdot \frac{\pi \cdot \left(\sqrt{2 \cdot \pi} \cdot e^{\left(z + -7.5\right) + \left(0.5 - z\right) \cdot \log \left(7.5 - z\right)}\right)}{\sin \left(z \cdot \pi\right)}
\end{array}
Initial program 95.4%
Simplified97.3%
*-un-lft-identity97.3%
associate-+l+95.9%
associate-+r+97.3%
Applied egg-rr97.3%
expm1-log1p-u97.3%
expm1-udef90.3%
associate-*l*90.3%
neg-mul-190.3%
fma-def90.3%
Applied egg-rr90.3%
expm1-def97.3%
expm1-log1p97.3%
associate-*l*97.3%
associate-*r*97.3%
remove-double-neg97.3%
metadata-eval97.3%
distribute-neg-in97.3%
+-commutative97.3%
neg-mul-197.3%
neg-mul-197.3%
+-commutative97.3%
neg-mul-197.3%
fma-udef97.3%
associate-*r*97.3%
Simplified97.3%
add-exp-log96.3%
*-commutative96.3%
log-prod96.3%
add-log-exp98.2%
log-pow98.2%
Applied egg-rr98.2%
Final simplification98.2%
(FPCore (z)
:precision binary64
(*
(+
(+
(+ (/ 9.984369578019572e-6 (- 7.0 z)) (/ 1.5056327351493116e-7 (- 8.0 z)))
(+ (/ 12.507343278686905 (- 5.0 z)) (/ -0.13857109526572012 (- 6.0 z))))
(+
(+ 0.9999999999998099 (/ 676.5203681218851 (- 1.0 z)))
(+
(/ -1259.1392167224028 (- 2.0 z))
(+ (/ 771.3234287776531 (- 3.0 z)) (/ -176.6150291621406 (- 4.0 z))))))
(/
(* (pow (- 7.5 z) (- 0.5 z)) (* (exp (+ z -7.5)) (* PI (sqrt (* 2.0 PI)))))
(sin (* z PI)))))
double code(double z) {
return ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + ((12.507343278686905 / (5.0 - z)) + (-0.13857109526572012 / (6.0 - z)))) + ((0.9999999999998099 + (676.5203681218851 / (1.0 - z))) + ((-1259.1392167224028 / (2.0 - z)) + ((771.3234287776531 / (3.0 - z)) + (-176.6150291621406 / (4.0 - z)))))) * ((pow((7.5 - z), (0.5 - z)) * (exp((z + -7.5)) * (((double) M_PI) * sqrt((2.0 * ((double) M_PI)))))) / sin((z * ((double) M_PI))));
}
public static double code(double z) {
return ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + ((12.507343278686905 / (5.0 - z)) + (-0.13857109526572012 / (6.0 - z)))) + ((0.9999999999998099 + (676.5203681218851 / (1.0 - z))) + ((-1259.1392167224028 / (2.0 - z)) + ((771.3234287776531 / (3.0 - z)) + (-176.6150291621406 / (4.0 - z)))))) * ((Math.pow((7.5 - z), (0.5 - z)) * (Math.exp((z + -7.5)) * (Math.PI * Math.sqrt((2.0 * Math.PI))))) / Math.sin((z * Math.PI)));
}
def code(z): return ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + ((12.507343278686905 / (5.0 - z)) + (-0.13857109526572012 / (6.0 - z)))) + ((0.9999999999998099 + (676.5203681218851 / (1.0 - z))) + ((-1259.1392167224028 / (2.0 - z)) + ((771.3234287776531 / (3.0 - z)) + (-176.6150291621406 / (4.0 - z)))))) * ((math.pow((7.5 - z), (0.5 - z)) * (math.exp((z + -7.5)) * (math.pi * math.sqrt((2.0 * math.pi))))) / math.sin((z * math.pi)))
function code(z) return Float64(Float64(Float64(Float64(Float64(9.984369578019572e-6 / Float64(7.0 - z)) + Float64(1.5056327351493116e-7 / Float64(8.0 - z))) + Float64(Float64(12.507343278686905 / Float64(5.0 - z)) + Float64(-0.13857109526572012 / Float64(6.0 - z)))) + Float64(Float64(0.9999999999998099 + Float64(676.5203681218851 / Float64(1.0 - z))) + Float64(Float64(-1259.1392167224028 / Float64(2.0 - z)) + Float64(Float64(771.3234287776531 / Float64(3.0 - z)) + Float64(-176.6150291621406 / Float64(4.0 - z)))))) * Float64(Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * Float64(exp(Float64(z + -7.5)) * Float64(pi * sqrt(Float64(2.0 * pi))))) / sin(Float64(z * pi)))) end
function tmp = code(z) tmp = ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + ((12.507343278686905 / (5.0 - z)) + (-0.13857109526572012 / (6.0 - z)))) + ((0.9999999999998099 + (676.5203681218851 / (1.0 - z))) + ((-1259.1392167224028 / (2.0 - z)) + ((771.3234287776531 / (3.0 - z)) + (-176.6150291621406 / (4.0 - z)))))) * ((((7.5 - z) ^ (0.5 - z)) * (exp((z + -7.5)) * (pi * sqrt((2.0 * pi))))) / sin((z * pi))); end
code[z_] := N[(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[(12.507343278686905 / N[(5.0 - z), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(6.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(0.9999999999998099 + N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(771.3234287776531 / N[(3.0 - z), $MachinePrecision]), $MachinePrecision] + N[(-176.6150291621406 / N[(4.0 - z), $MachinePrecision]), $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[(Pi * N[Sqrt[N[(2.0 * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sin[N[(z * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \frac{1.5056327351493116 \cdot 10^{-7}}{8 - z}\right) + \left(\frac{12.507343278686905}{5 - z} + \frac{-0.13857109526572012}{6 - z}\right)\right) + \left(\left(0.9999999999998099 + \frac{676.5203681218851}{1 - z}\right) + \left(\frac{-1259.1392167224028}{2 - z} + \left(\frac{771.3234287776531}{3 - z} + \frac{-176.6150291621406}{4 - z}\right)\right)\right)\right) \cdot \frac{{\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot \left(e^{z + -7.5} \cdot \left(\pi \cdot \sqrt{2 \cdot \pi}\right)\right)}{\sin \left(z \cdot \pi\right)}
\end{array}
Initial program 95.4%
Simplified97.3%
expm1-log1p-u97.3%
expm1-udef90.3%
associate-*l*90.3%
neg-mul-190.3%
fma-def90.3%
Applied egg-rr90.3%
expm1-def97.3%
expm1-log1p97.3%
*-commutative97.3%
associate-*l*97.3%
fma-udef97.3%
neg-mul-197.3%
+-commutative97.3%
sub-neg97.3%
Simplified97.3%
Final simplification97.3%
(FPCore (z)
:precision binary64
(*
(+
(+
0.9999999999998099
(+
(/ 676.5203681218851 (- 1.0 z))
(+
(+ (/ -1259.1392167224028 (- 2.0 z)) (/ 771.3234287776531 (- 3.0 z)))
(/ -176.6150291621406 (- 4.0 z)))))
(+
(+ (/ 9.984369578019572e-6 (- 7.0 z)) (/ 1.5056327351493116e-7 (- 8.0 z)))
(+ (/ 12.507343278686905 (- 5.0 z)) (/ -0.13857109526572012 (- 6.0 z)))))
(/
(* PI (* (sqrt (* 2.0 PI)) (* (pow (- 7.5 z) (- 0.5 z)) (exp (+ z -7.5)))))
(sin (* z PI)))))
double code(double z) {
return ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (((-1259.1392167224028 / (2.0 - z)) + (771.3234287776531 / (3.0 - z))) + (-176.6150291621406 / (4.0 - z))))) + (((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + ((12.507343278686905 / (5.0 - z)) + (-0.13857109526572012 / (6.0 - z))))) * ((((double) M_PI) * (sqrt((2.0 * ((double) M_PI))) * (pow((7.5 - z), (0.5 - z)) * exp((z + -7.5))))) / sin((z * ((double) M_PI))));
}
public static double code(double z) {
return ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (((-1259.1392167224028 / (2.0 - z)) + (771.3234287776531 / (3.0 - z))) + (-176.6150291621406 / (4.0 - z))))) + (((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + ((12.507343278686905 / (5.0 - z)) + (-0.13857109526572012 / (6.0 - z))))) * ((Math.PI * (Math.sqrt((2.0 * Math.PI)) * (Math.pow((7.5 - z), (0.5 - z)) * Math.exp((z + -7.5))))) / Math.sin((z * Math.PI)));
}
def code(z): return ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (((-1259.1392167224028 / (2.0 - z)) + (771.3234287776531 / (3.0 - z))) + (-176.6150291621406 / (4.0 - z))))) + (((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + ((12.507343278686905 / (5.0 - z)) + (-0.13857109526572012 / (6.0 - z))))) * ((math.pi * (math.sqrt((2.0 * math.pi)) * (math.pow((7.5 - z), (0.5 - z)) * math.exp((z + -7.5))))) / math.sin((z * math.pi)))
function code(z) return Float64(Float64(Float64(0.9999999999998099 + Float64(Float64(676.5203681218851 / Float64(1.0 - z)) + Float64(Float64(Float64(-1259.1392167224028 / Float64(2.0 - z)) + Float64(771.3234287776531 / Float64(3.0 - z))) + Float64(-176.6150291621406 / Float64(4.0 - z))))) + Float64(Float64(Float64(9.984369578019572e-6 / Float64(7.0 - z)) + Float64(1.5056327351493116e-7 / Float64(8.0 - z))) + Float64(Float64(12.507343278686905 / Float64(5.0 - z)) + Float64(-0.13857109526572012 / Float64(6.0 - z))))) * Float64(Float64(pi * Float64(sqrt(Float64(2.0 * pi)) * Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * exp(Float64(z + -7.5))))) / sin(Float64(z * pi)))) end
function tmp = code(z) tmp = ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (((-1259.1392167224028 / (2.0 - z)) + (771.3234287776531 / (3.0 - z))) + (-176.6150291621406 / (4.0 - z))))) + (((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + ((12.507343278686905 / (5.0 - z)) + (-0.13857109526572012 / (6.0 - z))))) * ((pi * (sqrt((2.0 * pi)) * (((7.5 - z) ^ (0.5 - z)) * exp((z + -7.5))))) / sin((z * pi))); end
code[z_] := N[(N[(N[(0.9999999999998099 + N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision] + N[(771.3234287776531 / N[(3.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-176.6150291621406 / N[(4.0 - z), $MachinePrecision]), $MachinePrecision]), $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[(12.507343278686905 / N[(5.0 - z), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(6.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(Pi * N[(N[Sqrt[N[(2.0 * Pi), $MachinePrecision]], $MachinePrecision] * N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sin[N[(z * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(0.9999999999998099 + \left(\frac{676.5203681218851}{1 - z} + \left(\left(\frac{-1259.1392167224028}{2 - z} + \frac{771.3234287776531}{3 - z}\right) + \frac{-176.6150291621406}{4 - z}\right)\right)\right) + \left(\left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \frac{1.5056327351493116 \cdot 10^{-7}}{8 - z}\right) + \left(\frac{12.507343278686905}{5 - z} + \frac{-0.13857109526572012}{6 - z}\right)\right)\right) \cdot \frac{\pi \cdot \left(\sqrt{2 \cdot \pi} \cdot \left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot e^{z + -7.5}\right)\right)}{\sin \left(z \cdot \pi\right)}
\end{array}
Initial program 95.4%
Simplified97.3%
*-un-lft-identity97.3%
associate-+l+95.9%
associate-+r+97.3%
Applied egg-rr97.3%
expm1-log1p-u97.3%
expm1-udef90.3%
associate-*l*90.3%
neg-mul-190.3%
fma-def90.3%
Applied egg-rr90.3%
expm1-def97.3%
expm1-log1p97.3%
associate-*l*97.3%
associate-*r*97.3%
remove-double-neg97.3%
metadata-eval97.3%
distribute-neg-in97.3%
+-commutative97.3%
neg-mul-197.3%
neg-mul-197.3%
+-commutative97.3%
neg-mul-197.3%
fma-udef97.3%
associate-*r*97.3%
Simplified97.3%
Final simplification97.3%
(FPCore (z)
:precision binary64
(*
(/
(* PI (* (sqrt (* 2.0 PI)) (* (pow (- 7.5 z) (- 0.5 z)) (exp (+ z -7.5)))))
(sin (* z PI)))
(+
(+
0.9999999999998099
(+
(/ 676.5203681218851 (- 1.0 z))
(+
(+ (/ -1259.1392167224028 (- 2.0 z)) (/ 771.3234287776531 (- 3.0 z)))
(/ -176.6150291621406 (- 4.0 z)))))
(+
(+ (/ 9.984369578019572e-6 (- 7.0 z)) (/ 1.5056327351493116e-7 (- 8.0 z)))
(+ 2.4783734731930944 (* z 0.49644453405676175))))))
double code(double z) {
return ((((double) M_PI) * (sqrt((2.0 * ((double) M_PI))) * (pow((7.5 - z), (0.5 - z)) * exp((z + -7.5))))) / sin((z * ((double) M_PI)))) * ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (((-1259.1392167224028 / (2.0 - z)) + (771.3234287776531 / (3.0 - z))) + (-176.6150291621406 / (4.0 - z))))) + (((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + (2.4783734731930944 + (z * 0.49644453405676175))));
}
public static double code(double z) {
return ((Math.PI * (Math.sqrt((2.0 * Math.PI)) * (Math.pow((7.5 - z), (0.5 - z)) * Math.exp((z + -7.5))))) / Math.sin((z * Math.PI))) * ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (((-1259.1392167224028 / (2.0 - z)) + (771.3234287776531 / (3.0 - z))) + (-176.6150291621406 / (4.0 - z))))) + (((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + (2.4783734731930944 + (z * 0.49644453405676175))));
}
def code(z): return ((math.pi * (math.sqrt((2.0 * math.pi)) * (math.pow((7.5 - z), (0.5 - z)) * math.exp((z + -7.5))))) / math.sin((z * math.pi))) * ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (((-1259.1392167224028 / (2.0 - z)) + (771.3234287776531 / (3.0 - z))) + (-176.6150291621406 / (4.0 - z))))) + (((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + (2.4783734731930944 + (z * 0.49644453405676175))))
function code(z) return Float64(Float64(Float64(pi * Float64(sqrt(Float64(2.0 * pi)) * Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * exp(Float64(z + -7.5))))) / sin(Float64(z * pi))) * Float64(Float64(0.9999999999998099 + Float64(Float64(676.5203681218851 / Float64(1.0 - z)) + Float64(Float64(Float64(-1259.1392167224028 / Float64(2.0 - z)) + Float64(771.3234287776531 / Float64(3.0 - z))) + Float64(-176.6150291621406 / Float64(4.0 - z))))) + Float64(Float64(Float64(9.984369578019572e-6 / Float64(7.0 - z)) + Float64(1.5056327351493116e-7 / Float64(8.0 - z))) + Float64(2.4783734731930944 + Float64(z * 0.49644453405676175))))) end
function tmp = code(z) tmp = ((pi * (sqrt((2.0 * pi)) * (((7.5 - z) ^ (0.5 - z)) * exp((z + -7.5))))) / sin((z * pi))) * ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (((-1259.1392167224028 / (2.0 - z)) + (771.3234287776531 / (3.0 - z))) + (-176.6150291621406 / (4.0 - z))))) + (((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + (2.4783734731930944 + (z * 0.49644453405676175)))); end
code[z_] := N[(N[(N[(Pi * N[(N[Sqrt[N[(2.0 * Pi), $MachinePrecision]], $MachinePrecision] * N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sin[N[(z * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(0.9999999999998099 + N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision] + N[(771.3234287776531 / N[(3.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-176.6150291621406 / N[(4.0 - z), $MachinePrecision]), $MachinePrecision]), $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[(2.4783734731930944 + N[(z * 0.49644453405676175), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\pi \cdot \left(\sqrt{2 \cdot \pi} \cdot \left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot e^{z + -7.5}\right)\right)}{\sin \left(z \cdot \pi\right)} \cdot \left(\left(0.9999999999998099 + \left(\frac{676.5203681218851}{1 - z} + \left(\left(\frac{-1259.1392167224028}{2 - z} + \frac{771.3234287776531}{3 - z}\right) + \frac{-176.6150291621406}{4 - z}\right)\right)\right) + \left(\left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \frac{1.5056327351493116 \cdot 10^{-7}}{8 - z}\right) + \left(2.4783734731930944 + z \cdot 0.49644453405676175\right)\right)\right)
\end{array}
Initial program 95.4%
Simplified97.3%
*-un-lft-identity97.3%
associate-+l+95.9%
associate-+r+97.3%
Applied egg-rr97.3%
expm1-log1p-u97.3%
expm1-udef90.3%
associate-*l*90.3%
neg-mul-190.3%
fma-def90.3%
Applied egg-rr90.3%
expm1-def97.3%
expm1-log1p97.3%
associate-*l*97.3%
associate-*r*97.3%
remove-double-neg97.3%
metadata-eval97.3%
distribute-neg-in97.3%
+-commutative97.3%
neg-mul-197.3%
neg-mul-197.3%
+-commutative97.3%
neg-mul-197.3%
fma-udef97.3%
associate-*r*97.3%
Simplified97.3%
Taylor expanded in z around 0 96.2%
*-commutative96.2%
Simplified96.2%
Final simplification96.2%
(FPCore (z)
:precision binary64
(*
(/
(* PI (* (sqrt (* 2.0 PI)) (* (pow (- 7.5 z) (- 0.5 z)) (exp (+ z -7.5)))))
(sin (* z PI)))
(+
(+
0.9999999999998099
(+
(/ 676.5203681218851 (- 1.0 z))
(+
(+ (/ -1259.1392167224028 (- 2.0 z)) (/ 771.3234287776531 (- 3.0 z)))
(/ -176.6150291621406 (- 4.0 z)))))
(+ 2.4783749183520145 (* z 0.49644474017195733)))))
double code(double z) {
return ((((double) M_PI) * (sqrt((2.0 * ((double) M_PI))) * (pow((7.5 - z), (0.5 - z)) * exp((z + -7.5))))) / sin((z * ((double) M_PI)))) * ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (((-1259.1392167224028 / (2.0 - z)) + (771.3234287776531 / (3.0 - z))) + (-176.6150291621406 / (4.0 - z))))) + (2.4783749183520145 + (z * 0.49644474017195733)));
}
public static double code(double z) {
return ((Math.PI * (Math.sqrt((2.0 * Math.PI)) * (Math.pow((7.5 - z), (0.5 - z)) * Math.exp((z + -7.5))))) / Math.sin((z * Math.PI))) * ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (((-1259.1392167224028 / (2.0 - z)) + (771.3234287776531 / (3.0 - z))) + (-176.6150291621406 / (4.0 - z))))) + (2.4783749183520145 + (z * 0.49644474017195733)));
}
def code(z): return ((math.pi * (math.sqrt((2.0 * math.pi)) * (math.pow((7.5 - z), (0.5 - z)) * math.exp((z + -7.5))))) / math.sin((z * math.pi))) * ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (((-1259.1392167224028 / (2.0 - z)) + (771.3234287776531 / (3.0 - z))) + (-176.6150291621406 / (4.0 - z))))) + (2.4783749183520145 + (z * 0.49644474017195733)))
function code(z) return Float64(Float64(Float64(pi * Float64(sqrt(Float64(2.0 * pi)) * Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * exp(Float64(z + -7.5))))) / sin(Float64(z * pi))) * Float64(Float64(0.9999999999998099 + Float64(Float64(676.5203681218851 / Float64(1.0 - z)) + Float64(Float64(Float64(-1259.1392167224028 / Float64(2.0 - z)) + Float64(771.3234287776531 / Float64(3.0 - z))) + Float64(-176.6150291621406 / Float64(4.0 - z))))) + Float64(2.4783749183520145 + Float64(z * 0.49644474017195733)))) end
function tmp = code(z) tmp = ((pi * (sqrt((2.0 * pi)) * (((7.5 - z) ^ (0.5 - z)) * exp((z + -7.5))))) / sin((z * pi))) * ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (((-1259.1392167224028 / (2.0 - z)) + (771.3234287776531 / (3.0 - z))) + (-176.6150291621406 / (4.0 - z))))) + (2.4783749183520145 + (z * 0.49644474017195733))); end
code[z_] := N[(N[(N[(Pi * N[(N[Sqrt[N[(2.0 * Pi), $MachinePrecision]], $MachinePrecision] * N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sin[N[(z * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(0.9999999999998099 + N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision] + N[(771.3234287776531 / N[(3.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-176.6150291621406 / N[(4.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(2.4783749183520145 + N[(z * 0.49644474017195733), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\pi \cdot \left(\sqrt{2 \cdot \pi} \cdot \left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot e^{z + -7.5}\right)\right)}{\sin \left(z \cdot \pi\right)} \cdot \left(\left(0.9999999999998099 + \left(\frac{676.5203681218851}{1 - z} + \left(\left(\frac{-1259.1392167224028}{2 - z} + \frac{771.3234287776531}{3 - z}\right) + \frac{-176.6150291621406}{4 - z}\right)\right)\right) + \left(2.4783749183520145 + z \cdot 0.49644474017195733\right)\right)
\end{array}
Initial program 95.4%
Simplified97.3%
*-un-lft-identity97.3%
associate-+l+95.9%
associate-+r+97.3%
Applied egg-rr97.3%
expm1-log1p-u97.3%
expm1-udef90.3%
associate-*l*90.3%
neg-mul-190.3%
fma-def90.3%
Applied egg-rr90.3%
expm1-def97.3%
expm1-log1p97.3%
associate-*l*97.3%
associate-*r*97.3%
remove-double-neg97.3%
metadata-eval97.3%
distribute-neg-in97.3%
+-commutative97.3%
neg-mul-197.3%
neg-mul-197.3%
+-commutative97.3%
neg-mul-197.3%
fma-udef97.3%
associate-*r*97.3%
Simplified97.3%
Taylor expanded in z around 0 96.2%
*-commutative96.2%
Simplified96.2%
Final simplification96.2%
(FPCore (z)
:precision binary64
(*
(+
(+
(+ (/ 9.984369578019572e-6 (- 7.0 z)) (/ 1.5056327351493116e-7 (- 8.0 z)))
(+ (/ 12.507343278686905 (- 5.0 z)) (/ -0.13857109526572012 (- 6.0 z))))
(+ 260.9048120626994 (* z 436.3997278161676)))
(/
(* (exp (+ z -7.5)) (* (pow (- 7.5 z) (- 0.5 z)) (* PI (sqrt (* 2.0 PI)))))
(sin (* z PI)))))
double code(double z) {
return ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + ((12.507343278686905 / (5.0 - z)) + (-0.13857109526572012 / (6.0 - z)))) + (260.9048120626994 + (z * 436.3997278161676))) * ((exp((z + -7.5)) * (pow((7.5 - z), (0.5 - z)) * (((double) M_PI) * sqrt((2.0 * ((double) M_PI)))))) / sin((z * ((double) M_PI))));
}
public static double code(double z) {
return ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + ((12.507343278686905 / (5.0 - z)) + (-0.13857109526572012 / (6.0 - z)))) + (260.9048120626994 + (z * 436.3997278161676))) * ((Math.exp((z + -7.5)) * (Math.pow((7.5 - z), (0.5 - z)) * (Math.PI * Math.sqrt((2.0 * Math.PI))))) / Math.sin((z * Math.PI)));
}
def code(z): return ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + ((12.507343278686905 / (5.0 - z)) + (-0.13857109526572012 / (6.0 - z)))) + (260.9048120626994 + (z * 436.3997278161676))) * ((math.exp((z + -7.5)) * (math.pow((7.5 - z), (0.5 - z)) * (math.pi * math.sqrt((2.0 * math.pi))))) / math.sin((z * math.pi)))
function code(z) return Float64(Float64(Float64(Float64(Float64(9.984369578019572e-6 / Float64(7.0 - z)) + Float64(1.5056327351493116e-7 / Float64(8.0 - z))) + Float64(Float64(12.507343278686905 / Float64(5.0 - z)) + Float64(-0.13857109526572012 / Float64(6.0 - z)))) + Float64(260.9048120626994 + Float64(z * 436.3997278161676))) * Float64(Float64(exp(Float64(z + -7.5)) * Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * Float64(pi * sqrt(Float64(2.0 * pi))))) / sin(Float64(z * pi)))) end
function tmp = code(z) tmp = ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + ((12.507343278686905 / (5.0 - z)) + (-0.13857109526572012 / (6.0 - z)))) + (260.9048120626994 + (z * 436.3997278161676))) * ((exp((z + -7.5)) * (((7.5 - z) ^ (0.5 - z)) * (pi * sqrt((2.0 * pi))))) / sin((z * pi))); end
code[z_] := N[(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[(12.507343278686905 / N[(5.0 - z), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(6.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(260.9048120626994 + N[(z * 436.3997278161676), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision] * N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[(Pi * N[Sqrt[N[(2.0 * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sin[N[(z * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \frac{1.5056327351493116 \cdot 10^{-7}}{8 - z}\right) + \left(\frac{12.507343278686905}{5 - z} + \frac{-0.13857109526572012}{6 - z}\right)\right) + \left(260.9048120626994 + z \cdot 436.3997278161676\right)\right) \cdot \frac{e^{z + -7.5} \cdot \left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot \left(\pi \cdot \sqrt{2 \cdot \pi}\right)\right)}{\sin \left(z \cdot \pi\right)}
\end{array}
Initial program 95.4%
Simplified97.3%
Taylor expanded in z around 0 95.6%
*-commutative95.6%
Simplified95.6%
Final simplification95.6%
(FPCore (z)
:precision binary64
(*
(/
(* PI (* (sqrt (* 2.0 PI)) (* (pow (- 7.5 z) (- 0.5 z)) (exp (+ z -7.5)))))
(sin (* z PI)))
(+
(+
0.9999999999998099
(+
(/ 676.5203681218851 (- 1.0 z))
(+
(+ (/ -1259.1392167224028 (- 2.0 z)) (/ 771.3234287776531 (- 3.0 z)))
(/ -176.6150291621406 (- 4.0 z)))))
2.4783749183520145)))
double code(double z) {
return ((((double) M_PI) * (sqrt((2.0 * ((double) M_PI))) * (pow((7.5 - z), (0.5 - z)) * exp((z + -7.5))))) / sin((z * ((double) M_PI)))) * ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (((-1259.1392167224028 / (2.0 - z)) + (771.3234287776531 / (3.0 - z))) + (-176.6150291621406 / (4.0 - z))))) + 2.4783749183520145);
}
public static double code(double z) {
return ((Math.PI * (Math.sqrt((2.0 * Math.PI)) * (Math.pow((7.5 - z), (0.5 - z)) * Math.exp((z + -7.5))))) / Math.sin((z * Math.PI))) * ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (((-1259.1392167224028 / (2.0 - z)) + (771.3234287776531 / (3.0 - z))) + (-176.6150291621406 / (4.0 - z))))) + 2.4783749183520145);
}
def code(z): return ((math.pi * (math.sqrt((2.0 * math.pi)) * (math.pow((7.5 - z), (0.5 - z)) * math.exp((z + -7.5))))) / math.sin((z * math.pi))) * ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (((-1259.1392167224028 / (2.0 - z)) + (771.3234287776531 / (3.0 - z))) + (-176.6150291621406 / (4.0 - z))))) + 2.4783749183520145)
function code(z) return Float64(Float64(Float64(pi * Float64(sqrt(Float64(2.0 * pi)) * Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * exp(Float64(z + -7.5))))) / sin(Float64(z * pi))) * Float64(Float64(0.9999999999998099 + Float64(Float64(676.5203681218851 / Float64(1.0 - z)) + Float64(Float64(Float64(-1259.1392167224028 / Float64(2.0 - z)) + Float64(771.3234287776531 / Float64(3.0 - z))) + Float64(-176.6150291621406 / Float64(4.0 - z))))) + 2.4783749183520145)) end
function tmp = code(z) tmp = ((pi * (sqrt((2.0 * pi)) * (((7.5 - z) ^ (0.5 - z)) * exp((z + -7.5))))) / sin((z * pi))) * ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (((-1259.1392167224028 / (2.0 - z)) + (771.3234287776531 / (3.0 - z))) + (-176.6150291621406 / (4.0 - z))))) + 2.4783749183520145); end
code[z_] := N[(N[(N[(Pi * N[(N[Sqrt[N[(2.0 * Pi), $MachinePrecision]], $MachinePrecision] * N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sin[N[(z * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(0.9999999999998099 + N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision] + N[(771.3234287776531 / N[(3.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-176.6150291621406 / N[(4.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.4783749183520145), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\pi \cdot \left(\sqrt{2 \cdot \pi} \cdot \left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot e^{z + -7.5}\right)\right)}{\sin \left(z \cdot \pi\right)} \cdot \left(\left(0.9999999999998099 + \left(\frac{676.5203681218851}{1 - z} + \left(\left(\frac{-1259.1392167224028}{2 - z} + \frac{771.3234287776531}{3 - z}\right) + \frac{-176.6150291621406}{4 - z}\right)\right)\right) + 2.4783749183520145\right)
\end{array}
Initial program 95.4%
Simplified97.3%
*-un-lft-identity97.3%
associate-+l+95.9%
associate-+r+97.3%
Applied egg-rr97.3%
expm1-log1p-u97.3%
expm1-udef90.3%
associate-*l*90.3%
neg-mul-190.3%
fma-def90.3%
Applied egg-rr90.3%
expm1-def97.3%
expm1-log1p97.3%
associate-*l*97.3%
associate-*r*97.3%
remove-double-neg97.3%
metadata-eval97.3%
distribute-neg-in97.3%
+-commutative97.3%
neg-mul-197.3%
neg-mul-197.3%
+-commutative97.3%
neg-mul-197.3%
fma-udef97.3%
associate-*r*97.3%
Simplified97.3%
Taylor expanded in z around 0 95.6%
Final simplification95.6%
(FPCore (z)
:precision binary64
(*
(/
(* (exp (+ z -7.5)) (* (pow (- 7.5 z) (- 0.5 z)) (* PI (sqrt (* 2.0 PI)))))
(sin (* z PI)))
(+
(+
0.9999999999998099
(+
(/ 676.5203681218851 (- 1.0 z))
(+
(+ (/ -1259.1392167224028 (- 2.0 z)) (/ 771.3234287776531 (- 3.0 z)))
(/ -176.6150291621406 (- 4.0 z)))))
2.4783749183520145)))
double code(double z) {
return ((exp((z + -7.5)) * (pow((7.5 - z), (0.5 - z)) * (((double) M_PI) * sqrt((2.0 * ((double) M_PI)))))) / sin((z * ((double) M_PI)))) * ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (((-1259.1392167224028 / (2.0 - z)) + (771.3234287776531 / (3.0 - z))) + (-176.6150291621406 / (4.0 - z))))) + 2.4783749183520145);
}
public static double code(double z) {
return ((Math.exp((z + -7.5)) * (Math.pow((7.5 - z), (0.5 - z)) * (Math.PI * Math.sqrt((2.0 * Math.PI))))) / Math.sin((z * Math.PI))) * ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (((-1259.1392167224028 / (2.0 - z)) + (771.3234287776531 / (3.0 - z))) + (-176.6150291621406 / (4.0 - z))))) + 2.4783749183520145);
}
def code(z): return ((math.exp((z + -7.5)) * (math.pow((7.5 - z), (0.5 - z)) * (math.pi * math.sqrt((2.0 * math.pi))))) / math.sin((z * math.pi))) * ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (((-1259.1392167224028 / (2.0 - z)) + (771.3234287776531 / (3.0 - z))) + (-176.6150291621406 / (4.0 - z))))) + 2.4783749183520145)
function code(z) return Float64(Float64(Float64(exp(Float64(z + -7.5)) * Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * Float64(pi * sqrt(Float64(2.0 * pi))))) / sin(Float64(z * pi))) * Float64(Float64(0.9999999999998099 + Float64(Float64(676.5203681218851 / Float64(1.0 - z)) + Float64(Float64(Float64(-1259.1392167224028 / Float64(2.0 - z)) + Float64(771.3234287776531 / Float64(3.0 - z))) + Float64(-176.6150291621406 / Float64(4.0 - z))))) + 2.4783749183520145)) end
function tmp = code(z) tmp = ((exp((z + -7.5)) * (((7.5 - z) ^ (0.5 - z)) * (pi * sqrt((2.0 * pi))))) / sin((z * pi))) * ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (((-1259.1392167224028 / (2.0 - z)) + (771.3234287776531 / (3.0 - z))) + (-176.6150291621406 / (4.0 - z))))) + 2.4783749183520145); end
code[z_] := N[(N[(N[(N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision] * N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[(Pi * N[Sqrt[N[(2.0 * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sin[N[(z * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(0.9999999999998099 + N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision] + N[(771.3234287776531 / N[(3.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-176.6150291621406 / N[(4.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.4783749183520145), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{e^{z + -7.5} \cdot \left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot \left(\pi \cdot \sqrt{2 \cdot \pi}\right)\right)}{\sin \left(z \cdot \pi\right)} \cdot \left(\left(0.9999999999998099 + \left(\frac{676.5203681218851}{1 - z} + \left(\left(\frac{-1259.1392167224028}{2 - z} + \frac{771.3234287776531}{3 - z}\right) + \frac{-176.6150291621406}{4 - z}\right)\right)\right) + 2.4783749183520145\right)
\end{array}
Initial program 95.4%
Simplified97.3%
*-un-lft-identity97.3%
associate-+l+95.9%
associate-+r+97.3%
Applied egg-rr97.3%
Taylor expanded in z around 0 95.6%
Final simplification95.6%
(FPCore (z)
:precision binary64
(*
(/
(* (exp (+ z -7.5)) (* (pow (- 7.5 z) (- 0.5 z)) (* PI (sqrt (* 2.0 PI)))))
(sin (* z PI)))
(+
(+
(+ (/ 9.984369578019572e-6 (- 7.0 z)) (/ 1.5056327351493116e-7 (- 8.0 z)))
(+ (/ 12.507343278686905 (- 5.0 z)) (/ -0.13857109526572012 (- 6.0 z))))
260.9048120626994)))
double code(double z) {
return ((exp((z + -7.5)) * (pow((7.5 - z), (0.5 - z)) * (((double) M_PI) * sqrt((2.0 * ((double) M_PI)))))) / sin((z * ((double) M_PI)))) * ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + ((12.507343278686905 / (5.0 - z)) + (-0.13857109526572012 / (6.0 - z)))) + 260.9048120626994);
}
public static double code(double z) {
return ((Math.exp((z + -7.5)) * (Math.pow((7.5 - z), (0.5 - z)) * (Math.PI * Math.sqrt((2.0 * Math.PI))))) / Math.sin((z * Math.PI))) * ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + ((12.507343278686905 / (5.0 - z)) + (-0.13857109526572012 / (6.0 - z)))) + 260.9048120626994);
}
def code(z): return ((math.exp((z + -7.5)) * (math.pow((7.5 - z), (0.5 - z)) * (math.pi * math.sqrt((2.0 * math.pi))))) / math.sin((z * math.pi))) * ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + ((12.507343278686905 / (5.0 - z)) + (-0.13857109526572012 / (6.0 - z)))) + 260.9048120626994)
function code(z) return Float64(Float64(Float64(exp(Float64(z + -7.5)) * Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * Float64(pi * sqrt(Float64(2.0 * pi))))) / sin(Float64(z * pi))) * Float64(Float64(Float64(Float64(9.984369578019572e-6 / Float64(7.0 - z)) + Float64(1.5056327351493116e-7 / Float64(8.0 - z))) + Float64(Float64(12.507343278686905 / Float64(5.0 - z)) + Float64(-0.13857109526572012 / Float64(6.0 - z)))) + 260.9048120626994)) end
function tmp = code(z) tmp = ((exp((z + -7.5)) * (((7.5 - z) ^ (0.5 - z)) * (pi * sqrt((2.0 * pi))))) / sin((z * pi))) * ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + ((12.507343278686905 / (5.0 - z)) + (-0.13857109526572012 / (6.0 - z)))) + 260.9048120626994); end
code[z_] := N[(N[(N[(N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision] * N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[(Pi * N[Sqrt[N[(2.0 * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sin[N[(z * Pi), $MachinePrecision]], $MachinePrecision]), $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[(12.507343278686905 / N[(5.0 - z), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(6.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 260.9048120626994), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{e^{z + -7.5} \cdot \left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot \left(\pi \cdot \sqrt{2 \cdot \pi}\right)\right)}{\sin \left(z \cdot \pi\right)} \cdot \left(\left(\left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \frac{1.5056327351493116 \cdot 10^{-7}}{8 - z}\right) + \left(\frac{12.507343278686905}{5 - z} + \frac{-0.13857109526572012}{6 - z}\right)\right) + 260.9048120626994\right)
\end{array}
Initial program 95.4%
Simplified97.3%
Taylor expanded in z around 0 95.0%
Final simplification95.0%
(FPCore (z) :precision binary64 (* 3.4783749183518244 (* (exp (+ z -7.5)) (/ (* PI (sqrt (* 2.0 PI))) (/ (sin (* z PI)) (pow (- 7.5 z) (- 0.5 z)))))))
double code(double z) {
return 3.4783749183518244 * (exp((z + -7.5)) * ((((double) M_PI) * sqrt((2.0 * ((double) M_PI)))) / (sin((z * ((double) M_PI))) / pow((7.5 - z), (0.5 - z)))));
}
public static double code(double z) {
return 3.4783749183518244 * (Math.exp((z + -7.5)) * ((Math.PI * Math.sqrt((2.0 * Math.PI))) / (Math.sin((z * Math.PI)) / Math.pow((7.5 - z), (0.5 - z)))));
}
def code(z): return 3.4783749183518244 * (math.exp((z + -7.5)) * ((math.pi * math.sqrt((2.0 * math.pi))) / (math.sin((z * math.pi)) / math.pow((7.5 - z), (0.5 - z)))))
function code(z) return Float64(3.4783749183518244 * Float64(exp(Float64(z + -7.5)) * Float64(Float64(pi * sqrt(Float64(2.0 * pi))) / Float64(sin(Float64(z * pi)) / (Float64(7.5 - z) ^ Float64(0.5 - z)))))) end
function tmp = code(z) tmp = 3.4783749183518244 * (exp((z + -7.5)) * ((pi * sqrt((2.0 * pi))) / (sin((z * pi)) / ((7.5 - z) ^ (0.5 - z))))); end
code[z_] := N[(3.4783749183518244 * N[(N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision] * N[(N[(Pi * N[Sqrt[N[(2.0 * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(N[Sin[N[(z * Pi), $MachinePrecision]], $MachinePrecision] / N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
3.4783749183518244 \cdot \left(e^{z + -7.5} \cdot \frac{\pi \cdot \sqrt{2 \cdot \pi}}{\frac{\sin \left(z \cdot \pi\right)}{{\left(7.5 - z\right)}^{\left(0.5 - z\right)}}}\right)
\end{array}
Initial program 95.4%
Simplified97.3%
Taylor expanded in z around inf 14.3%
Taylor expanded in z around 0 14.3%
expm1-log1p-u7.6%
expm1-udef7.6%
Applied egg-rr7.6%
expm1-def7.6%
expm1-log1p14.3%
associate-/r/14.3%
*-commutative14.3%
+-commutative14.3%
associate-*r*14.3%
*-commutative14.3%
associate-/l*14.3%
*-commutative14.3%
Simplified14.3%
Final simplification14.3%
(FPCore (z) :precision binary64 (* 3.4783749183518244 (/ (* (exp -7.5) (sqrt 15.0)) (/ z (sqrt PI)))))
double code(double z) {
return 3.4783749183518244 * ((exp(-7.5) * sqrt(15.0)) / (z / sqrt(((double) M_PI))));
}
public static double code(double z) {
return 3.4783749183518244 * ((Math.exp(-7.5) * Math.sqrt(15.0)) / (z / Math.sqrt(Math.PI)));
}
def code(z): return 3.4783749183518244 * ((math.exp(-7.5) * math.sqrt(15.0)) / (z / math.sqrt(math.pi)))
function code(z) return Float64(3.4783749183518244 * Float64(Float64(exp(-7.5) * sqrt(15.0)) / Float64(z / sqrt(pi)))) end
function tmp = code(z) tmp = 3.4783749183518244 * ((exp(-7.5) * sqrt(15.0)) / (z / sqrt(pi))); end
code[z_] := N[(3.4783749183518244 * N[(N[(N[Exp[-7.5], $MachinePrecision] * N[Sqrt[15.0], $MachinePrecision]), $MachinePrecision] / N[(z / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
3.4783749183518244 \cdot \frac{e^{-7.5} \cdot \sqrt{15}}{\frac{z}{\sqrt{\pi}}}
\end{array}
Initial program 95.4%
Simplified97.3%
Taylor expanded in z around inf 14.3%
Taylor expanded in z around 0 14.3%
Taylor expanded in z around 0 14.3%
associate-/l*14.3%
associate-/r/14.3%
Simplified14.3%
expm1-log1p-u7.5%
expm1-udef7.5%
metadata-eval7.5%
associate-*l/7.5%
sqrt-unprod7.5%
metadata-eval7.5%
Applied egg-rr7.5%
expm1-def7.5%
expm1-log1p14.3%
associate-*l/14.3%
associate-/l*14.3%
Simplified14.3%
Final simplification14.3%
herbie shell --seed 2023309
(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))))))