
(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
(let* ((t_0 (sqrt (* PI 2.0))))
(if (or (<= z -6.4e-16) (not (<= z 2.8e-17)))
(*
(* (* (pow (- 7.5 z) (- 0.5 z)) (exp (+ z -7.5))) t_0)
(*
(/ PI (sin (* PI z)))
(+
(+
(+
(/ 9.984369578019572e-6 (- 7.0 z))
(/ 1.5056327351493116e-7 (- 8.0 z)))
(+
(/ 771.3234287776531 (- 3.0 z))
(+
0.9999999999998099
(+
(/ -1259.1392167224028 (- 2.0 z))
(/ 676.5203681218851 (- 1.0 z))))))
(+
(/ -0.13857109526572012 (- 6.0 z))
(+
(/ -176.6150291621406 (- 4.0 z))
(/ 12.507343278686905 (- 5.0 z)))))))
(*
(* t_0 (exp (+ (+ z -7.5) (* (- 0.5 z) (log (fma -1.0 z 7.5))))))
(/ 263.3831869810514 z)))))
double code(double z) {
double t_0 = sqrt((((double) M_PI) * 2.0));
double tmp;
if ((z <= -6.4e-16) || !(z <= 2.8e-17)) {
tmp = ((pow((7.5 - z), (0.5 - z)) * exp((z + -7.5))) * t_0) * ((((double) M_PI) / sin((((double) M_PI) * z))) * ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + ((771.3234287776531 / (3.0 - z)) + (0.9999999999998099 + ((-1259.1392167224028 / (2.0 - z)) + (676.5203681218851 / (1.0 - z)))))) + ((-0.13857109526572012 / (6.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z))))));
} else {
tmp = (t_0 * exp(((z + -7.5) + ((0.5 - z) * log(fma(-1.0, z, 7.5)))))) * (263.3831869810514 / z);
}
return tmp;
}
function code(z) t_0 = sqrt(Float64(pi * 2.0)) tmp = 0.0 if ((z <= -6.4e-16) || !(z <= 2.8e-17)) tmp = Float64(Float64(Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * exp(Float64(z + -7.5))) * t_0) * Float64(Float64(pi / sin(Float64(pi * z))) * Float64(Float64(Float64(Float64(9.984369578019572e-6 / Float64(7.0 - z)) + Float64(1.5056327351493116e-7 / Float64(8.0 - z))) + Float64(Float64(771.3234287776531 / Float64(3.0 - z)) + Float64(0.9999999999998099 + Float64(Float64(-1259.1392167224028 / Float64(2.0 - z)) + Float64(676.5203681218851 / Float64(1.0 - z)))))) + Float64(Float64(-0.13857109526572012 / Float64(6.0 - z)) + Float64(Float64(-176.6150291621406 / Float64(4.0 - z)) + Float64(12.507343278686905 / Float64(5.0 - z))))))); else tmp = Float64(Float64(t_0 * exp(Float64(Float64(z + -7.5) + Float64(Float64(0.5 - z) * log(fma(-1.0, z, 7.5)))))) * Float64(263.3831869810514 / z)); end return tmp end
code[z_] := Block[{t$95$0 = N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]}, If[Or[LessEqual[z, -6.4e-16], N[Not[LessEqual[z, 2.8e-17]], $MachinePrecision]], N[(N[(N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * N[(N[(Pi / N[Sin[N[(Pi * z), $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[(771.3234287776531 / N[(3.0 - z), $MachinePrecision]), $MachinePrecision] + N[(0.9999999999998099 + N[(N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision] + N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(-0.13857109526572012 / N[(6.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(-176.6150291621406 / N[(4.0 - z), $MachinePrecision]), $MachinePrecision] + N[(12.507343278686905 / N[(5.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$0 * N[Exp[N[(N[(z + -7.5), $MachinePrecision] + N[(N[(0.5 - z), $MachinePrecision] * N[Log[N[(-1.0 * z + 7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(263.3831869810514 / z), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{\pi \cdot 2}\\
\mathbf{if}\;z \leq -6.4 \cdot 10^{-16} \lor \neg \left(z \leq 2.8 \cdot 10^{-17}\right):\\
\;\;\;\;\left(\left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot e^{z + -7.5}\right) \cdot t\_0\right) \cdot \left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \frac{1.5056327351493116 \cdot 10^{-7}}{8 - z}\right) + \left(\frac{771.3234287776531}{3 - z} + \left(0.9999999999998099 + \left(\frac{-1259.1392167224028}{2 - z} + \frac{676.5203681218851}{1 - z}\right)\right)\right)\right) + \left(\frac{-0.13857109526572012}{6 - z} + \left(\frac{-176.6150291621406}{4 - z} + \frac{12.507343278686905}{5 - z}\right)\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_0 \cdot e^{\left(z + -7.5\right) + \left(0.5 - z\right) \cdot \log \left(\mathsf{fma}\left(-1, z, 7.5\right)\right)}\right) \cdot \frac{263.3831869810514}{z}\\
\end{array}
\end{array}
if z < -6.40000000000000046e-16 or 2.7999999999999999e-17 < z Initial program 91.9%
Simplified91.5%
Taylor expanded in z around inf 91.5%
exp-to-pow91.5%
sub-neg91.5%
metadata-eval91.5%
+-commutative91.5%
Simplified91.5%
if -6.40000000000000046e-16 < z < 2.7999999999999999e-17Initial program 97.3%
Simplified97.6%
Taylor expanded in z around 0 97.6%
Taylor expanded in z around 0 98.8%
Taylor expanded in z around 0 98.9%
add-exp-log99.5%
*-commutative99.5%
log-prod99.5%
add-log-exp99.5%
log-pow99.5%
neg-mul-199.5%
fma-define99.5%
Applied egg-rr99.5%
Final simplification99.0%
(FPCore (z)
:precision binary64
(let* ((t_0 (cbrt (* PI 2.0))))
(*
(*
(/ PI (sin (* PI z)))
(*
(*
(* (fabs t_0) (sqrt t_0))
(pow (+ (+ (- 1.0 z) -1.0) 7.5) (- (- 1.0 z) 0.5)))
(exp (- (- (+ z -1.0) -1.0) 7.5))))
(+
(-
(+
(/ 12.507343278686905 (- (- 1.0 z) -4.0))
(/ -0.13857109526572012 (- (- 1.0 z) -5.0)))
(+
(-
(+
(/ -1259.1392167224028 (- -1.0 (- 1.0 z)))
(/ 676.5203681218851 (+ z -1.0)))
0.9999999999998099)
(-
(/ -176.6150291621406 (+ -3.0 (+ z -1.0)))
(/ 771.3234287776531 (- (- 1.0 z) -2.0)))))
(+
(/ 9.984369578019572e-6 (- (- 1.0 z) -6.0))
(/ 1.5056327351493116e-7 (- (- 1.0 z) -7.0)))))))
double code(double z) {
double t_0 = cbrt((((double) M_PI) * 2.0));
return ((((double) M_PI) / sin((((double) M_PI) * z))) * (((fabs(t_0) * sqrt(t_0)) * pow((((1.0 - z) + -1.0) + 7.5), ((1.0 - z) - 0.5))) * exp((((z + -1.0) - -1.0) - 7.5)))) * ((((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0))) - ((((-1259.1392167224028 / (-1.0 - (1.0 - z))) + (676.5203681218851 / (z + -1.0))) - 0.9999999999998099) + ((-176.6150291621406 / (-3.0 + (z + -1.0))) - (771.3234287776531 / ((1.0 - z) - -2.0))))) + ((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0))));
}
public static double code(double z) {
double t_0 = Math.cbrt((Math.PI * 2.0));
return ((Math.PI / Math.sin((Math.PI * z))) * (((Math.abs(t_0) * Math.sqrt(t_0)) * Math.pow((((1.0 - z) + -1.0) + 7.5), ((1.0 - z) - 0.5))) * Math.exp((((z + -1.0) - -1.0) - 7.5)))) * ((((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0))) - ((((-1259.1392167224028 / (-1.0 - (1.0 - z))) + (676.5203681218851 / (z + -1.0))) - 0.9999999999998099) + ((-176.6150291621406 / (-3.0 + (z + -1.0))) - (771.3234287776531 / ((1.0 - z) - -2.0))))) + ((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0))));
}
function code(z) t_0 = cbrt(Float64(pi * 2.0)) return Float64(Float64(Float64(pi / sin(Float64(pi * z))) * Float64(Float64(Float64(abs(t_0) * sqrt(t_0)) * (Float64(Float64(Float64(1.0 - z) + -1.0) + 7.5) ^ Float64(Float64(1.0 - z) - 0.5))) * exp(Float64(Float64(Float64(z + -1.0) - -1.0) - 7.5)))) * Float64(Float64(Float64(Float64(12.507343278686905 / Float64(Float64(1.0 - z) - -4.0)) + Float64(-0.13857109526572012 / Float64(Float64(1.0 - z) - -5.0))) - Float64(Float64(Float64(Float64(-1259.1392167224028 / Float64(-1.0 - Float64(1.0 - z))) + Float64(676.5203681218851 / Float64(z + -1.0))) - 0.9999999999998099) + Float64(Float64(-176.6150291621406 / Float64(-3.0 + Float64(z + -1.0))) - Float64(771.3234287776531 / Float64(Float64(1.0 - z) - -2.0))))) + Float64(Float64(9.984369578019572e-6 / Float64(Float64(1.0 - z) - -6.0)) + Float64(1.5056327351493116e-7 / Float64(Float64(1.0 - z) - -7.0))))) end
code[z_] := Block[{t$95$0 = N[Power[N[(Pi * 2.0), $MachinePrecision], 1/3], $MachinePrecision]}, N[(N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[Abs[t$95$0], $MachinePrecision] * N[Sqrt[t$95$0], $MachinePrecision]), $MachinePrecision] * N[Power[N[(N[(N[(1.0 - z), $MachinePrecision] + -1.0), $MachinePrecision] + 7.5), $MachinePrecision], N[(N[(1.0 - z), $MachinePrecision] - 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Exp[N[(N[(N[(z + -1.0), $MachinePrecision] - -1.0), $MachinePrecision] - 7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(12.507343278686905 / N[(N[(1.0 - z), $MachinePrecision] - -4.0), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(N[(1.0 - z), $MachinePrecision] - -5.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(N[(N[(-1259.1392167224028 / N[(-1.0 - N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(676.5203681218851 / N[(z + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.9999999999998099), $MachinePrecision] + N[(N[(-176.6150291621406 / N[(-3.0 + N[(z + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(771.3234287776531 / N[(N[(1.0 - z), $MachinePrecision] - -2.0), $MachinePrecision]), $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]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt[3]{\pi \cdot 2}\\
\left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\left|t\_0\right| \cdot \sqrt{t\_0}\right) \cdot {\left(\left(\left(1 - z\right) + -1\right) + 7.5\right)}^{\left(\left(1 - z\right) - 0.5\right)}\right) \cdot e^{\left(\left(z + -1\right) - -1\right) - 7.5}\right)\right) \cdot \left(\left(\left(\frac{12.507343278686905}{\left(1 - z\right) - -4} + \frac{-0.13857109526572012}{\left(1 - z\right) - -5}\right) - \left(\left(\left(\frac{-1259.1392167224028}{-1 - \left(1 - z\right)} + \frac{676.5203681218851}{z + -1}\right) - 0.9999999999998099\right) + \left(\frac{-176.6150291621406}{-3 + \left(z + -1\right)} - \frac{771.3234287776531}{\left(1 - z\right) - -2}\right)\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)
\end{array}
\end{array}
Initial program 97.0%
Simplified98.7%
pow1/298.7%
add-cube-cbrt98.9%
unpow-prod-down98.9%
pow298.9%
*-commutative98.9%
*-commutative98.9%
Applied egg-rr98.9%
unpow1/298.9%
unpow298.9%
rem-sqrt-square98.9%
unpow1/298.9%
Simplified98.9%
Final simplification98.9%
(FPCore (z)
:precision binary64
(*
(+
(-
(+
(/ 12.507343278686905 (- (- 1.0 z) -4.0))
(/ -0.13857109526572012 (- (- 1.0 z) -5.0)))
(+
(-
(+
(/ -1259.1392167224028 (- -1.0 (- 1.0 z)))
(/ 676.5203681218851 (+ z -1.0)))
0.9999999999998099)
(-
(/ -176.6150291621406 (+ -3.0 (+ z -1.0)))
(/ 771.3234287776531 (- (- 1.0 z) -2.0)))))
(+
(/ 9.984369578019572e-6 (- (- 1.0 z) -6.0))
(/ 1.5056327351493116e-7 (- (- 1.0 z) -7.0))))
(*
(/ PI (sin (* PI z)))
(*
(pow (* PI 2.0) 0.16666666666666666)
(* (cbrt (* PI 2.0)) (* (pow (- 7.5 z) (- 0.5 z)) (exp (+ z -7.5))))))))
double code(double z) {
return ((((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0))) - ((((-1259.1392167224028 / (-1.0 - (1.0 - z))) + (676.5203681218851 / (z + -1.0))) - 0.9999999999998099) + ((-176.6150291621406 / (-3.0 + (z + -1.0))) - (771.3234287776531 / ((1.0 - z) - -2.0))))) + ((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0)))) * ((((double) M_PI) / sin((((double) M_PI) * z))) * (pow((((double) M_PI) * 2.0), 0.16666666666666666) * (cbrt((((double) M_PI) * 2.0)) * (pow((7.5 - z), (0.5 - z)) * exp((z + -7.5))))));
}
public static double code(double z) {
return ((((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0))) - ((((-1259.1392167224028 / (-1.0 - (1.0 - z))) + (676.5203681218851 / (z + -1.0))) - 0.9999999999998099) + ((-176.6150291621406 / (-3.0 + (z + -1.0))) - (771.3234287776531 / ((1.0 - z) - -2.0))))) + ((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0)))) * ((Math.PI / Math.sin((Math.PI * z))) * (Math.pow((Math.PI * 2.0), 0.16666666666666666) * (Math.cbrt((Math.PI * 2.0)) * (Math.pow((7.5 - z), (0.5 - z)) * Math.exp((z + -7.5))))));
}
function code(z) return Float64(Float64(Float64(Float64(Float64(12.507343278686905 / Float64(Float64(1.0 - z) - -4.0)) + Float64(-0.13857109526572012 / Float64(Float64(1.0 - z) - -5.0))) - Float64(Float64(Float64(Float64(-1259.1392167224028 / Float64(-1.0 - Float64(1.0 - z))) + Float64(676.5203681218851 / Float64(z + -1.0))) - 0.9999999999998099) + Float64(Float64(-176.6150291621406 / Float64(-3.0 + Float64(z + -1.0))) - Float64(771.3234287776531 / Float64(Float64(1.0 - z) - -2.0))))) + 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(pi / sin(Float64(pi * z))) * Float64((Float64(pi * 2.0) ^ 0.16666666666666666) * Float64(cbrt(Float64(pi * 2.0)) * Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * exp(Float64(z + -7.5))))))) end
code[z_] := N[(N[(N[(N[(N[(12.507343278686905 / N[(N[(1.0 - z), $MachinePrecision] - -4.0), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(N[(1.0 - z), $MachinePrecision] - -5.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(N[(N[(-1259.1392167224028 / N[(-1.0 - N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(676.5203681218851 / N[(z + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.9999999999998099), $MachinePrecision] + N[(N[(-176.6150291621406 / N[(-3.0 + N[(z + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(771.3234287776531 / N[(N[(1.0 - z), $MachinePrecision] - -2.0), $MachinePrecision]), $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] * N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[(Pi * 2.0), $MachinePrecision], 0.16666666666666666], $MachinePrecision] * N[(N[Power[N[(Pi * 2.0), $MachinePrecision], 1/3], $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]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\frac{12.507343278686905}{\left(1 - z\right) - -4} + \frac{-0.13857109526572012}{\left(1 - z\right) - -5}\right) - \left(\left(\left(\frac{-1259.1392167224028}{-1 - \left(1 - z\right)} + \frac{676.5203681218851}{z + -1}\right) - 0.9999999999998099\right) + \left(\frac{-176.6150291621406}{-3 + \left(z + -1\right)} - \frac{771.3234287776531}{\left(1 - z\right) - -2}\right)\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) \cdot \left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left({\left(\pi \cdot 2\right)}^{0.16666666666666666} \cdot \left(\sqrt[3]{\pi \cdot 2} \cdot \left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot e^{z + -7.5}\right)\right)\right)\right)
\end{array}
Initial program 97.0%
Simplified98.7%
pow1/298.7%
add-cube-cbrt98.9%
unpow-prod-down98.9%
pow298.9%
*-commutative98.9%
*-commutative98.9%
Applied egg-rr98.9%
unpow1/298.9%
unpow298.9%
rem-sqrt-square98.9%
unpow1/298.9%
Simplified98.9%
pow198.9%
Applied egg-rr98.9%
unpow198.9%
*-commutative98.9%
rem-cube-cbrt98.7%
sqr-pow98.9%
fabs-sqr98.9%
sqr-pow98.7%
rem-cube-cbrt98.9%
associate-*l*98.9%
*-commutative98.9%
Simplified98.9%
Final simplification98.9%
(FPCore (z)
:precision binary64
(*
(+
(-
(+
(/ 12.507343278686905 (- (- 1.0 z) -4.0))
(/ -0.13857109526572012 (- (- 1.0 z) -5.0)))
(+
(-
(+
(/ -1259.1392167224028 (- -1.0 (- 1.0 z)))
(/ 676.5203681218851 (+ z -1.0)))
0.9999999999998099)
(-
(/ -176.6150291621406 (+ -3.0 (+ z -1.0)))
(/ 771.3234287776531 (- (- 1.0 z) -2.0)))))
(+
(/ 9.984369578019572e-6 (- (- 1.0 z) -6.0))
(/ 1.5056327351493116e-7 (- (- 1.0 z) -7.0))))
(*
(/ PI (sin (* PI z)))
(*
(* (pow (+ (+ (- 1.0 z) -1.0) 7.5) (- (- 1.0 z) 0.5)) (sqrt (* PI 2.0)))
(exp (- z 7.5))))))
double code(double z) {
return ((((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0))) - ((((-1259.1392167224028 / (-1.0 - (1.0 - z))) + (676.5203681218851 / (z + -1.0))) - 0.9999999999998099) + ((-176.6150291621406 / (-3.0 + (z + -1.0))) - (771.3234287776531 / ((1.0 - z) - -2.0))))) + ((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0)))) * ((((double) M_PI) / sin((((double) M_PI) * z))) * ((pow((((1.0 - z) + -1.0) + 7.5), ((1.0 - z) - 0.5)) * sqrt((((double) M_PI) * 2.0))) * exp((z - 7.5))));
}
public static double code(double z) {
return ((((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0))) - ((((-1259.1392167224028 / (-1.0 - (1.0 - z))) + (676.5203681218851 / (z + -1.0))) - 0.9999999999998099) + ((-176.6150291621406 / (-3.0 + (z + -1.0))) - (771.3234287776531 / ((1.0 - z) - -2.0))))) + ((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0)))) * ((Math.PI / Math.sin((Math.PI * z))) * ((Math.pow((((1.0 - z) + -1.0) + 7.5), ((1.0 - z) - 0.5)) * Math.sqrt((Math.PI * 2.0))) * Math.exp((z - 7.5))));
}
def code(z): return ((((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0))) - ((((-1259.1392167224028 / (-1.0 - (1.0 - z))) + (676.5203681218851 / (z + -1.0))) - 0.9999999999998099) + ((-176.6150291621406 / (-3.0 + (z + -1.0))) - (771.3234287776531 / ((1.0 - z) - -2.0))))) + ((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0)))) * ((math.pi / math.sin((math.pi * z))) * ((math.pow((((1.0 - z) + -1.0) + 7.5), ((1.0 - z) - 0.5)) * math.sqrt((math.pi * 2.0))) * math.exp((z - 7.5))))
function code(z) return Float64(Float64(Float64(Float64(Float64(12.507343278686905 / Float64(Float64(1.0 - z) - -4.0)) + Float64(-0.13857109526572012 / Float64(Float64(1.0 - z) - -5.0))) - Float64(Float64(Float64(Float64(-1259.1392167224028 / Float64(-1.0 - Float64(1.0 - z))) + Float64(676.5203681218851 / Float64(z + -1.0))) - 0.9999999999998099) + Float64(Float64(-176.6150291621406 / Float64(-3.0 + Float64(z + -1.0))) - Float64(771.3234287776531 / Float64(Float64(1.0 - z) - -2.0))))) + 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(pi / sin(Float64(pi * z))) * Float64(Float64((Float64(Float64(Float64(1.0 - z) + -1.0) + 7.5) ^ Float64(Float64(1.0 - z) - 0.5)) * sqrt(Float64(pi * 2.0))) * exp(Float64(z - 7.5))))) end
function tmp = code(z) tmp = ((((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0))) - ((((-1259.1392167224028 / (-1.0 - (1.0 - z))) + (676.5203681218851 / (z + -1.0))) - 0.9999999999998099) + ((-176.6150291621406 / (-3.0 + (z + -1.0))) - (771.3234287776531 / ((1.0 - z) - -2.0))))) + ((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0)))) * ((pi / sin((pi * z))) * ((((((1.0 - z) + -1.0) + 7.5) ^ ((1.0 - z) - 0.5)) * sqrt((pi * 2.0))) * exp((z - 7.5)))); end
code[z_] := N[(N[(N[(N[(N[(12.507343278686905 / N[(N[(1.0 - z), $MachinePrecision] - -4.0), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(N[(1.0 - z), $MachinePrecision] - -5.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(N[(N[(-1259.1392167224028 / N[(-1.0 - N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(676.5203681218851 / N[(z + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.9999999999998099), $MachinePrecision] + N[(N[(-176.6150291621406 / N[(-3.0 + N[(z + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(771.3234287776531 / N[(N[(1.0 - z), $MachinePrecision] - -2.0), $MachinePrecision]), $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] * N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Power[N[(N[(N[(1.0 - z), $MachinePrecision] + -1.0), $MachinePrecision] + 7.5), $MachinePrecision], N[(N[(1.0 - z), $MachinePrecision] - 0.5), $MachinePrecision]], $MachinePrecision] * N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Exp[N[(z - 7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\frac{12.507343278686905}{\left(1 - z\right) - -4} + \frac{-0.13857109526572012}{\left(1 - z\right) - -5}\right) - \left(\left(\left(\frac{-1259.1392167224028}{-1 - \left(1 - z\right)} + \frac{676.5203681218851}{z + -1}\right) - 0.9999999999998099\right) + \left(\frac{-176.6150291621406}{-3 + \left(z + -1\right)} - \frac{771.3234287776531}{\left(1 - z\right) - -2}\right)\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) \cdot \left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left({\left(\left(\left(1 - z\right) + -1\right) + 7.5\right)}^{\left(\left(1 - z\right) - 0.5\right)} \cdot \sqrt{\pi \cdot 2}\right) \cdot e^{z - 7.5}\right)\right)
\end{array}
Initial program 97.0%
Simplified98.7%
Taylor expanded in z around 0 98.7%
neg-mul-198.7%
Simplified98.7%
Final simplification98.7%
(FPCore (z)
:precision binary64
(*
(+
(-
(+
(/ 12.507343278686905 (- (- 1.0 z) -4.0))
(/ -0.13857109526572012 (- (- 1.0 z) -5.0)))
(+
(-
(+
(/ -1259.1392167224028 (- -1.0 (- 1.0 z)))
(/ 676.5203681218851 (+ z -1.0)))
0.9999999999998099)
(-
(/ -176.6150291621406 (+ -3.0 (+ z -1.0)))
(/ 771.3234287776531 (- (- 1.0 z) -2.0)))))
(+
(/ 9.984369578019572e-6 (- (- 1.0 z) -6.0))
(/ 1.5056327351493116e-7 (- (- 1.0 z) -7.0))))
(*
(/ PI (sin (* PI z)))
(*
(exp (+ z -7.5))
(* (sqrt (* PI 2.0)) (pow (- 7.5 z) (- 1.0 (+ z 0.5))))))))
double code(double z) {
return ((((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0))) - ((((-1259.1392167224028 / (-1.0 - (1.0 - z))) + (676.5203681218851 / (z + -1.0))) - 0.9999999999998099) + ((-176.6150291621406 / (-3.0 + (z + -1.0))) - (771.3234287776531 / ((1.0 - z) - -2.0))))) + ((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0)))) * ((((double) M_PI) / sin((((double) M_PI) * z))) * (exp((z + -7.5)) * (sqrt((((double) M_PI) * 2.0)) * pow((7.5 - z), (1.0 - (z + 0.5))))));
}
public static double code(double z) {
return ((((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0))) - ((((-1259.1392167224028 / (-1.0 - (1.0 - z))) + (676.5203681218851 / (z + -1.0))) - 0.9999999999998099) + ((-176.6150291621406 / (-3.0 + (z + -1.0))) - (771.3234287776531 / ((1.0 - z) - -2.0))))) + ((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0)))) * ((Math.PI / Math.sin((Math.PI * z))) * (Math.exp((z + -7.5)) * (Math.sqrt((Math.PI * 2.0)) * Math.pow((7.5 - z), (1.0 - (z + 0.5))))));
}
def code(z): return ((((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0))) - ((((-1259.1392167224028 / (-1.0 - (1.0 - z))) + (676.5203681218851 / (z + -1.0))) - 0.9999999999998099) + ((-176.6150291621406 / (-3.0 + (z + -1.0))) - (771.3234287776531 / ((1.0 - z) - -2.0))))) + ((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0)))) * ((math.pi / math.sin((math.pi * z))) * (math.exp((z + -7.5)) * (math.sqrt((math.pi * 2.0)) * math.pow((7.5 - z), (1.0 - (z + 0.5))))))
function code(z) return Float64(Float64(Float64(Float64(Float64(12.507343278686905 / Float64(Float64(1.0 - z) - -4.0)) + Float64(-0.13857109526572012 / Float64(Float64(1.0 - z) - -5.0))) - Float64(Float64(Float64(Float64(-1259.1392167224028 / Float64(-1.0 - Float64(1.0 - z))) + Float64(676.5203681218851 / Float64(z + -1.0))) - 0.9999999999998099) + Float64(Float64(-176.6150291621406 / Float64(-3.0 + Float64(z + -1.0))) - Float64(771.3234287776531 / Float64(Float64(1.0 - z) - -2.0))))) + 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(pi / sin(Float64(pi * z))) * Float64(exp(Float64(z + -7.5)) * Float64(sqrt(Float64(pi * 2.0)) * (Float64(7.5 - z) ^ Float64(1.0 - Float64(z + 0.5))))))) end
function tmp = code(z) tmp = ((((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0))) - ((((-1259.1392167224028 / (-1.0 - (1.0 - z))) + (676.5203681218851 / (z + -1.0))) - 0.9999999999998099) + ((-176.6150291621406 / (-3.0 + (z + -1.0))) - (771.3234287776531 / ((1.0 - z) - -2.0))))) + ((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0)))) * ((pi / sin((pi * z))) * (exp((z + -7.5)) * (sqrt((pi * 2.0)) * ((7.5 - z) ^ (1.0 - (z + 0.5)))))); end
code[z_] := N[(N[(N[(N[(N[(12.507343278686905 / N[(N[(1.0 - z), $MachinePrecision] - -4.0), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(N[(1.0 - z), $MachinePrecision] - -5.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(N[(N[(-1259.1392167224028 / N[(-1.0 - N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(676.5203681218851 / N[(z + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.9999999999998099), $MachinePrecision] + N[(N[(-176.6150291621406 / N[(-3.0 + N[(z + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(771.3234287776531 / N[(N[(1.0 - z), $MachinePrecision] - -2.0), $MachinePrecision]), $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] * N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision] * N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[Power[N[(7.5 - z), $MachinePrecision], N[(1.0 - N[(z + 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\frac{12.507343278686905}{\left(1 - z\right) - -4} + \frac{-0.13857109526572012}{\left(1 - z\right) - -5}\right) - \left(\left(\left(\frac{-1259.1392167224028}{-1 - \left(1 - z\right)} + \frac{676.5203681218851}{z + -1}\right) - 0.9999999999998099\right) + \left(\frac{-176.6150291621406}{-3 + \left(z + -1\right)} - \frac{771.3234287776531}{\left(1 - z\right) - -2}\right)\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) \cdot \left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(e^{z + -7.5} \cdot \left(\sqrt{\pi \cdot 2} \cdot {\left(7.5 - z\right)}^{\left(1 - \left(z + 0.5\right)\right)}\right)\right)\right)
\end{array}
Initial program 97.0%
Simplified98.7%
sqrt-prod97.8%
Applied egg-rr97.8%
pow197.8%
Applied egg-rr98.7%
unpow198.7%
remove-double-neg98.7%
+-commutative98.7%
+-commutative98.7%
sub-neg98.7%
*-commutative98.7%
Simplified98.7%
Final simplification98.7%
(FPCore (z)
:precision binary64
(*
(+
(-
(+
(/ 12.507343278686905 (- (- 1.0 z) -4.0))
(/ -0.13857109526572012 (- (- 1.0 z) -5.0)))
(+
(-
(+
(/ -1259.1392167224028 (- -1.0 (- 1.0 z)))
(/ 676.5203681218851 (+ z -1.0)))
0.9999999999998099)
(-
(/ -176.6150291621406 (+ -3.0 (+ z -1.0)))
(/ 771.3234287776531 (- (- 1.0 z) -2.0)))))
(+
(/ 9.984369578019572e-6 (- (- 1.0 z) -6.0))
(/ 1.5056327351493116e-7 (- (- 1.0 z) -7.0))))
(*
(/ PI (sin (* PI z)))
(* (pow (- 7.5 z) (- 0.5 z)) (* (exp (+ z -7.5)) (sqrt (* PI 2.0)))))))
double code(double z) {
return ((((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0))) - ((((-1259.1392167224028 / (-1.0 - (1.0 - z))) + (676.5203681218851 / (z + -1.0))) - 0.9999999999998099) + ((-176.6150291621406 / (-3.0 + (z + -1.0))) - (771.3234287776531 / ((1.0 - z) - -2.0))))) + ((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0)))) * ((((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)))));
}
public static double code(double z) {
return ((((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0))) - ((((-1259.1392167224028 / (-1.0 - (1.0 - z))) + (676.5203681218851 / (z + -1.0))) - 0.9999999999998099) + ((-176.6150291621406 / (-3.0 + (z + -1.0))) - (771.3234287776531 / ((1.0 - z) - -2.0))))) + ((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0)))) * ((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)))));
}
def code(z): return ((((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0))) - ((((-1259.1392167224028 / (-1.0 - (1.0 - z))) + (676.5203681218851 / (z + -1.0))) - 0.9999999999998099) + ((-176.6150291621406 / (-3.0 + (z + -1.0))) - (771.3234287776531 / ((1.0 - z) - -2.0))))) + ((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0)))) * ((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)))))
function code(z) return Float64(Float64(Float64(Float64(Float64(12.507343278686905 / Float64(Float64(1.0 - z) - -4.0)) + Float64(-0.13857109526572012 / Float64(Float64(1.0 - z) - -5.0))) - Float64(Float64(Float64(Float64(-1259.1392167224028 / Float64(-1.0 - Float64(1.0 - z))) + Float64(676.5203681218851 / Float64(z + -1.0))) - 0.9999999999998099) + Float64(Float64(-176.6150291621406 / Float64(-3.0 + Float64(z + -1.0))) - Float64(771.3234287776531 / Float64(Float64(1.0 - z) - -2.0))))) + 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(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)))))) end
function tmp = code(z) tmp = ((((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0))) - ((((-1259.1392167224028 / (-1.0 - (1.0 - z))) + (676.5203681218851 / (z + -1.0))) - 0.9999999999998099) + ((-176.6150291621406 / (-3.0 + (z + -1.0))) - (771.3234287776531 / ((1.0 - z) - -2.0))))) + ((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0)))) * ((pi / sin((pi * z))) * (((7.5 - z) ^ (0.5 - z)) * (exp((z + -7.5)) * sqrt((pi * 2.0))))); end
code[z_] := N[(N[(N[(N[(N[(12.507343278686905 / N[(N[(1.0 - z), $MachinePrecision] - -4.0), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(N[(1.0 - z), $MachinePrecision] - -5.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(N[(N[(-1259.1392167224028 / N[(-1.0 - N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(676.5203681218851 / N[(z + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.9999999999998099), $MachinePrecision] + N[(N[(-176.6150291621406 / N[(-3.0 + N[(z + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(771.3234287776531 / N[(N[(1.0 - z), $MachinePrecision] - -2.0), $MachinePrecision]), $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] * 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]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\frac{12.507343278686905}{\left(1 - z\right) - -4} + \frac{-0.13857109526572012}{\left(1 - z\right) - -5}\right) - \left(\left(\left(\frac{-1259.1392167224028}{-1 - \left(1 - z\right)} + \frac{676.5203681218851}{z + -1}\right) - 0.9999999999998099\right) + \left(\frac{-176.6150291621406}{-3 + \left(z + -1\right)} - \frac{771.3234287776531}{\left(1 - z\right) - -2}\right)\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) \cdot \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)
\end{array}
Initial program 97.0%
Simplified98.7%
pow198.7%
Applied egg-rr98.7%
unpow198.7%
associate-*r*98.7%
*-commutative98.7%
associate-*l*98.6%
fma-undefine98.6%
neg-mul-198.6%
+-commutative98.6%
sub-neg98.6%
neg-mul-198.6%
fma-undefine98.6%
neg-mul-198.6%
+-commutative98.6%
neg-mul-198.6%
neg-mul-198.6%
neg-mul-198.6%
distribute-neg-in98.6%
metadata-eval98.6%
remove-double-neg98.6%
Simplified98.6%
Final simplification98.6%
(FPCore (z)
:precision binary64
(*
(*
(/ PI (sin (* PI z)))
(*
(exp (+ z -7.5))
(* (sqrt (* PI 2.0)) (pow (- 7.5 z) (- 1.0 (+ z 0.5))))))
(+
0.9999999999998099
(+
(+
(+
(/ -1259.1392167224028 (- 2.0 z))
(+ (/ 676.5203681218851 (- 1.0 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))) * (exp((z + -7.5)) * (sqrt((((double) M_PI) * 2.0)) * pow((7.5 - z), (1.0 - (z + 0.5)))))) * (0.9999999999998099 + ((((-1259.1392167224028 / (2.0 - z)) + ((676.5203681218851 / (1.0 - 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.exp((z + -7.5)) * (Math.sqrt((Math.PI * 2.0)) * Math.pow((7.5 - z), (1.0 - (z + 0.5)))))) * (0.9999999999998099 + ((((-1259.1392167224028 / (2.0 - z)) + ((676.5203681218851 / (1.0 - 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.exp((z + -7.5)) * (math.sqrt((math.pi * 2.0)) * math.pow((7.5 - z), (1.0 - (z + 0.5)))))) * (0.9999999999998099 + ((((-1259.1392167224028 / (2.0 - z)) + ((676.5203681218851 / (1.0 - 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(exp(Float64(z + -7.5)) * Float64(sqrt(Float64(pi * 2.0)) * (Float64(7.5 - z) ^ Float64(1.0 - Float64(z + 0.5)))))) * Float64(0.9999999999998099 + Float64(Float64(Float64(Float64(-1259.1392167224028 / Float64(2.0 - z)) + Float64(Float64(676.5203681218851 / Float64(1.0 - z)) + Float64(771.3234287776531 / Float64(3.0 - z)))) + Float64(Float64(-176.6150291621406 / Float64(4.0 - z)) + Float64(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))) * (exp((z + -7.5)) * (sqrt((pi * 2.0)) * ((7.5 - z) ^ (1.0 - (z + 0.5)))))) * (0.9999999999998099 + ((((-1259.1392167224028 / (2.0 - z)) + ((676.5203681218851 / (1.0 - 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[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision] * N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[Power[N[(7.5 - z), $MachinePrecision], N[(1.0 - N[(z + 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(0.9999999999998099 + N[(N[(N[(N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + N[(771.3234287776531 / N[(3.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(-176.6150291621406 / N[(4.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(12.507343278686905 / N[(5.0 - z), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(6.0 - z), $MachinePrecision]), $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(e^{z + -7.5} \cdot \left(\sqrt{\pi \cdot 2} \cdot {\left(7.5 - z\right)}^{\left(1 - \left(z + 0.5\right)\right)}\right)\right)\right) \cdot \left(0.9999999999998099 + \left(\left(\left(\frac{-1259.1392167224028}{2 - z} + \left(\frac{676.5203681218851}{1 - z} + \frac{771.3234287776531}{3 - z}\right)\right) + \left(\frac{-176.6150291621406}{4 - z} + \left(\frac{12.507343278686905}{5 - z} + \frac{-0.13857109526572012}{6 - z}\right)\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 97.0%
Simplified98.7%
sqrt-prod97.8%
Applied egg-rr97.8%
pow197.8%
Applied egg-rr98.7%
unpow198.7%
remove-double-neg98.7%
+-commutative98.7%
+-commutative98.7%
sub-neg98.7%
*-commutative98.7%
Simplified98.7%
Applied egg-rr97.3%
Simplified98.6%
Final simplification98.6%
(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
(+
(+
(+
(/ -1259.1392167224028 (- 2.0 z))
(+ (/ 676.5203681218851 (- 1.0 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 + ((((-1259.1392167224028 / (2.0 - z)) + ((676.5203681218851 / (1.0 - 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 + ((((-1259.1392167224028 / (2.0 - z)) + ((676.5203681218851 / (1.0 - 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 + ((((-1259.1392167224028 / (2.0 - z)) + ((676.5203681218851 / (1.0 - 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(0.9999999999998099 + Float64(Float64(Float64(Float64(-1259.1392167224028 / Float64(2.0 - z)) + Float64(Float64(676.5203681218851 / Float64(1.0 - z)) + Float64(771.3234287776531 / Float64(3.0 - z)))) + Float64(Float64(-176.6150291621406 / Float64(4.0 - z)) + Float64(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 + ((((-1259.1392167224028 / (2.0 - z)) + ((676.5203681218851 / (1.0 - 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[(0.9999999999998099 + N[(N[(N[(N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + N[(771.3234287776531 / N[(3.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(-176.6150291621406 / N[(4.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(12.507343278686905 / N[(5.0 - z), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(6.0 - z), $MachinePrecision]), $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(0.9999999999998099 + \left(\left(\left(\frac{-1259.1392167224028}{2 - z} + \left(\frac{676.5203681218851}{1 - z} + \frac{771.3234287776531}{3 - z}\right)\right) + \left(\frac{-176.6150291621406}{4 - z} + \left(\frac{12.507343278686905}{5 - z} + \frac{-0.13857109526572012}{6 - z}\right)\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 97.0%
Simplified98.7%
pow198.7%
Applied egg-rr98.7%
unpow198.7%
associate-*r*98.7%
*-commutative98.7%
associate-*l*98.6%
fma-undefine98.6%
neg-mul-198.6%
+-commutative98.6%
sub-neg98.6%
neg-mul-198.6%
fma-undefine98.6%
neg-mul-198.6%
+-commutative98.6%
neg-mul-198.6%
neg-mul-198.6%
neg-mul-198.6%
distribute-neg-in98.6%
metadata-eval98.6%
remove-double-neg98.6%
Simplified98.6%
Applied egg-rr97.3%
Simplified98.6%
Final simplification98.6%
(FPCore (z)
:precision binary64
(*
(+
(-
(+
(/ 12.507343278686905 (- (- 1.0 z) -4.0))
(/ -0.13857109526572012 (- (- 1.0 z) -5.0)))
(+
(-
(+
(/ -1259.1392167224028 (- -1.0 (- 1.0 z)))
(/ 676.5203681218851 (+ z -1.0)))
0.9999999999998099)
(-
(/ -176.6150291621406 (+ -3.0 (+ z -1.0)))
(/ 771.3234287776531 (- (- 1.0 z) -2.0)))))
(+
(/ 9.984369578019572e-6 (- (- 1.0 z) -6.0))
(/ 1.5056327351493116e-7 (- (- 1.0 z) -7.0))))
(*
(* (exp (+ z -7.5)) (* (sqrt (* PI 2.0)) (pow (- 7.5 z) (- 1.0 (+ z 0.5)))))
(/ 1.0 z))))
double code(double z) {
return ((((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0))) - ((((-1259.1392167224028 / (-1.0 - (1.0 - z))) + (676.5203681218851 / (z + -1.0))) - 0.9999999999998099) + ((-176.6150291621406 / (-3.0 + (z + -1.0))) - (771.3234287776531 / ((1.0 - z) - -2.0))))) + ((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0)))) * ((exp((z + -7.5)) * (sqrt((((double) M_PI) * 2.0)) * pow((7.5 - z), (1.0 - (z + 0.5))))) * (1.0 / z));
}
public static double code(double z) {
return ((((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0))) - ((((-1259.1392167224028 / (-1.0 - (1.0 - z))) + (676.5203681218851 / (z + -1.0))) - 0.9999999999998099) + ((-176.6150291621406 / (-3.0 + (z + -1.0))) - (771.3234287776531 / ((1.0 - z) - -2.0))))) + ((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0)))) * ((Math.exp((z + -7.5)) * (Math.sqrt((Math.PI * 2.0)) * Math.pow((7.5 - z), (1.0 - (z + 0.5))))) * (1.0 / z));
}
def code(z): return ((((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0))) - ((((-1259.1392167224028 / (-1.0 - (1.0 - z))) + (676.5203681218851 / (z + -1.0))) - 0.9999999999998099) + ((-176.6150291621406 / (-3.0 + (z + -1.0))) - (771.3234287776531 / ((1.0 - z) - -2.0))))) + ((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0)))) * ((math.exp((z + -7.5)) * (math.sqrt((math.pi * 2.0)) * math.pow((7.5 - z), (1.0 - (z + 0.5))))) * (1.0 / z))
function code(z) return Float64(Float64(Float64(Float64(Float64(12.507343278686905 / Float64(Float64(1.0 - z) - -4.0)) + Float64(-0.13857109526572012 / Float64(Float64(1.0 - z) - -5.0))) - Float64(Float64(Float64(Float64(-1259.1392167224028 / Float64(-1.0 - Float64(1.0 - z))) + Float64(676.5203681218851 / Float64(z + -1.0))) - 0.9999999999998099) + Float64(Float64(-176.6150291621406 / Float64(-3.0 + Float64(z + -1.0))) - Float64(771.3234287776531 / Float64(Float64(1.0 - z) - -2.0))))) + 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(exp(Float64(z + -7.5)) * Float64(sqrt(Float64(pi * 2.0)) * (Float64(7.5 - z) ^ Float64(1.0 - Float64(z + 0.5))))) * Float64(1.0 / z))) end
function tmp = code(z) tmp = ((((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0))) - ((((-1259.1392167224028 / (-1.0 - (1.0 - z))) + (676.5203681218851 / (z + -1.0))) - 0.9999999999998099) + ((-176.6150291621406 / (-3.0 + (z + -1.0))) - (771.3234287776531 / ((1.0 - z) - -2.0))))) + ((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0)))) * ((exp((z + -7.5)) * (sqrt((pi * 2.0)) * ((7.5 - z) ^ (1.0 - (z + 0.5))))) * (1.0 / z)); end
code[z_] := N[(N[(N[(N[(N[(12.507343278686905 / N[(N[(1.0 - z), $MachinePrecision] - -4.0), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(N[(1.0 - z), $MachinePrecision] - -5.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(N[(N[(-1259.1392167224028 / N[(-1.0 - N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(676.5203681218851 / N[(z + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.9999999999998099), $MachinePrecision] + N[(N[(-176.6150291621406 / N[(-3.0 + N[(z + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(771.3234287776531 / N[(N[(1.0 - z), $MachinePrecision] - -2.0), $MachinePrecision]), $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] * N[(N[(N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision] * N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[Power[N[(7.5 - z), $MachinePrecision], N[(1.0 - N[(z + 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\frac{12.507343278686905}{\left(1 - z\right) - -4} + \frac{-0.13857109526572012}{\left(1 - z\right) - -5}\right) - \left(\left(\left(\frac{-1259.1392167224028}{-1 - \left(1 - z\right)} + \frac{676.5203681218851}{z + -1}\right) - 0.9999999999998099\right) + \left(\frac{-176.6150291621406}{-3 + \left(z + -1\right)} - \frac{771.3234287776531}{\left(1 - z\right) - -2}\right)\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) \cdot \left(\left(e^{z + -7.5} \cdot \left(\sqrt{\pi \cdot 2} \cdot {\left(7.5 - z\right)}^{\left(1 - \left(z + 0.5\right)\right)}\right)\right) \cdot \frac{1}{z}\right)
\end{array}
Initial program 97.0%
Simplified98.7%
sqrt-prod97.8%
Applied egg-rr97.8%
pow197.8%
Applied egg-rr98.7%
unpow198.7%
remove-double-neg98.7%
+-commutative98.7%
+-commutative98.7%
sub-neg98.7%
*-commutative98.7%
Simplified98.7%
Taylor expanded in z around 0 96.7%
Final simplification96.7%
(FPCore (z)
:precision binary64
(*
(+
(-
(+
(/ 12.507343278686905 (- (- 1.0 z) -4.0))
(/ -0.13857109526572012 (- (- 1.0 z) -5.0)))
(+
(-
(+
(/ -1259.1392167224028 (- -1.0 (- 1.0 z)))
(/ 676.5203681218851 (+ z -1.0)))
0.9999999999998099)
(-
(/ -176.6150291621406 (+ -3.0 (+ z -1.0)))
(/ 771.3234287776531 (- (- 1.0 z) -2.0)))))
(+
(/ 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))))
(/ 1.0 z))))
double code(double z) {
return ((((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0))) - ((((-1259.1392167224028 / (-1.0 - (1.0 - z))) + (676.5203681218851 / (z + -1.0))) - 0.9999999999998099) + ((-176.6150291621406 / (-3.0 + (z + -1.0))) - (771.3234287776531 / ((1.0 - z) - -2.0))))) + ((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)))) * (1.0 / z));
}
public static double code(double z) {
return ((((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0))) - ((((-1259.1392167224028 / (-1.0 - (1.0 - z))) + (676.5203681218851 / (z + -1.0))) - 0.9999999999998099) + ((-176.6150291621406 / (-3.0 + (z + -1.0))) - (771.3234287776531 / ((1.0 - z) - -2.0))))) + ((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)))) * (1.0 / z));
}
def code(z): return ((((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0))) - ((((-1259.1392167224028 / (-1.0 - (1.0 - z))) + (676.5203681218851 / (z + -1.0))) - 0.9999999999998099) + ((-176.6150291621406 / (-3.0 + (z + -1.0))) - (771.3234287776531 / ((1.0 - z) - -2.0))))) + ((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)))) * (1.0 / z))
function code(z) return Float64(Float64(Float64(Float64(Float64(12.507343278686905 / Float64(Float64(1.0 - z) - -4.0)) + Float64(-0.13857109526572012 / Float64(Float64(1.0 - z) - -5.0))) - Float64(Float64(Float64(Float64(-1259.1392167224028 / Float64(-1.0 - Float64(1.0 - z))) + Float64(676.5203681218851 / Float64(z + -1.0))) - 0.9999999999998099) + Float64(Float64(-176.6150291621406 / Float64(-3.0 + Float64(z + -1.0))) - Float64(771.3234287776531 / Float64(Float64(1.0 - z) - -2.0))))) + 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(1.0 / z))) end
function tmp = code(z) tmp = ((((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0))) - ((((-1259.1392167224028 / (-1.0 - (1.0 - z))) + (676.5203681218851 / (z + -1.0))) - 0.9999999999998099) + ((-176.6150291621406 / (-3.0 + (z + -1.0))) - (771.3234287776531 / ((1.0 - z) - -2.0))))) + ((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)))) * (1.0 / z)); end
code[z_] := N[(N[(N[(N[(N[(12.507343278686905 / N[(N[(1.0 - z), $MachinePrecision] - -4.0), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(N[(1.0 - z), $MachinePrecision] - -5.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(N[(N[(-1259.1392167224028 / N[(-1.0 - N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(676.5203681218851 / N[(z + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.9999999999998099), $MachinePrecision] + N[(N[(-176.6150291621406 / N[(-3.0 + N[(z + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(771.3234287776531 / N[(N[(1.0 - z), $MachinePrecision] - -2.0), $MachinePrecision]), $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] * 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[(1.0 / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\frac{12.507343278686905}{\left(1 - z\right) - -4} + \frac{-0.13857109526572012}{\left(1 - z\right) - -5}\right) - \left(\left(\left(\frac{-1259.1392167224028}{-1 - \left(1 - z\right)} + \frac{676.5203681218851}{z + -1}\right) - 0.9999999999998099\right) + \left(\frac{-176.6150291621406}{-3 + \left(z + -1\right)} - \frac{771.3234287776531}{\left(1 - z\right) - -2}\right)\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) \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{1}{z}\right)
\end{array}
Initial program 97.0%
Simplified98.7%
pow198.7%
Applied egg-rr98.7%
unpow198.7%
associate-*r*98.7%
*-commutative98.7%
associate-*l*98.6%
fma-undefine98.6%
neg-mul-198.6%
+-commutative98.6%
sub-neg98.6%
neg-mul-198.6%
fma-undefine98.6%
neg-mul-198.6%
+-commutative98.6%
neg-mul-198.6%
neg-mul-198.6%
neg-mul-198.6%
distribute-neg-in98.6%
metadata-eval98.6%
remove-double-neg98.6%
Simplified98.6%
Taylor expanded in z around 0 96.7%
Final simplification96.7%
(FPCore (z) :precision binary64 (* (* (* (exp (+ z -7.5)) (* (sqrt (* PI 2.0)) (pow (- 7.5 z) (- 1.0 (+ z 0.5))))) (/ 1.0 z)) (+ 263.3831869810514 (* z 436.8961725563396))))
double code(double z) {
return ((exp((z + -7.5)) * (sqrt((((double) M_PI) * 2.0)) * pow((7.5 - z), (1.0 - (z + 0.5))))) * (1.0 / z)) * (263.3831869810514 + (z * 436.8961725563396));
}
public static double code(double z) {
return ((Math.exp((z + -7.5)) * (Math.sqrt((Math.PI * 2.0)) * Math.pow((7.5 - z), (1.0 - (z + 0.5))))) * (1.0 / z)) * (263.3831869810514 + (z * 436.8961725563396));
}
def code(z): return ((math.exp((z + -7.5)) * (math.sqrt((math.pi * 2.0)) * math.pow((7.5 - z), (1.0 - (z + 0.5))))) * (1.0 / z)) * (263.3831869810514 + (z * 436.8961725563396))
function code(z) return Float64(Float64(Float64(exp(Float64(z + -7.5)) * Float64(sqrt(Float64(pi * 2.0)) * (Float64(7.5 - z) ^ Float64(1.0 - Float64(z + 0.5))))) * Float64(1.0 / z)) * Float64(263.3831869810514 + Float64(z * 436.8961725563396))) end
function tmp = code(z) tmp = ((exp((z + -7.5)) * (sqrt((pi * 2.0)) * ((7.5 - z) ^ (1.0 - (z + 0.5))))) * (1.0 / z)) * (263.3831869810514 + (z * 436.8961725563396)); end
code[z_] := N[(N[(N[(N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision] * N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[Power[N[(7.5 - z), $MachinePrecision], N[(1.0 - N[(z + 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 / z), $MachinePrecision]), $MachinePrecision] * N[(263.3831869810514 + N[(z * 436.8961725563396), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(e^{z + -7.5} \cdot \left(\sqrt{\pi \cdot 2} \cdot {\left(7.5 - z\right)}^{\left(1 - \left(z + 0.5\right)\right)}\right)\right) \cdot \frac{1}{z}\right) \cdot \left(263.3831869810514 + z \cdot 436.8961725563396\right)
\end{array}
Initial program 97.0%
Simplified98.7%
sqrt-prod97.8%
Applied egg-rr97.8%
pow197.8%
Applied egg-rr98.7%
unpow198.7%
remove-double-neg98.7%
+-commutative98.7%
+-commutative98.7%
sub-neg98.7%
*-commutative98.7%
Simplified98.7%
Taylor expanded in z around 0 96.3%
*-commutative96.3%
Simplified96.3%
Taylor expanded in z around 0 96.4%
Final simplification96.4%
(FPCore (z) :precision binary64 (* (/ 263.3831869810514 z) (* (sqrt (* PI 2.0)) (* (exp -7.5) (sqrt 7.5)))))
double code(double z) {
return (263.3831869810514 / z) * (sqrt((((double) M_PI) * 2.0)) * (exp(-7.5) * sqrt(7.5)));
}
public static double code(double z) {
return (263.3831869810514 / z) * (Math.sqrt((Math.PI * 2.0)) * (Math.exp(-7.5) * Math.sqrt(7.5)));
}
def code(z): return (263.3831869810514 / z) * (math.sqrt((math.pi * 2.0)) * (math.exp(-7.5) * math.sqrt(7.5)))
function code(z) return Float64(Float64(263.3831869810514 / z) * Float64(sqrt(Float64(pi * 2.0)) * Float64(exp(-7.5) * sqrt(7.5)))) end
function tmp = code(z) tmp = (263.3831869810514 / z) * (sqrt((pi * 2.0)) * (exp(-7.5) * sqrt(7.5))); end
code[z_] := N[(N[(263.3831869810514 / z), $MachinePrecision] * N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[Exp[-7.5], $MachinePrecision] * N[Sqrt[7.5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{263.3831869810514}{z} \cdot \left(\sqrt{\pi \cdot 2} \cdot \left(e^{-7.5} \cdot \sqrt{7.5}\right)\right)
\end{array}
Initial program 97.0%
Simplified97.2%
Taylor expanded in z around 0 94.5%
Taylor expanded in z around 0 95.1%
Taylor expanded in z around 0 95.2%
Taylor expanded in z around 0 95.3%
Final simplification95.3%
herbie shell --seed 2024040
(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))))))