
(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 15 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 (/ PI (sin (* PI z)))) (t_1 (sqrt (* PI 2.0))))
(if (<= z -2e-11)
(*
(* t_1 (exp (+ (+ z -7.5) (* (- 0.5 z) (log (- 7.5 z))))))
(*
t_0
(-
(+
(+ (/ -176.6150291621406 (- 4.0 z)) (/ 12.507343278686905 (- 5.0 z)))
(/ -0.13857109526572012 (- 6.0 z)))
(-
(-
(/ 9.984369578019572e-6 (- z 7.0))
(/ 1.5056327351493116e-7 (- 8.0 z)))
(+
(+
0.9999999999998099
(+
(/ 676.5203681218851 (- 1.0 z))
(/ -1259.1392167224028 (- 2.0 z))))
(/ 771.3234287776531 (- 3.0 z)))))))
(*
(* t_0 (* (pow (- 7.5 z) (- 0.5 z)) (* (exp (+ z -7.5)) t_1)))
(-
(-
(/ 9.984369578019572e-6 (- (- 1.0 z) -6.0))
(/ 1.5056327351493116e-7 (- -7.0 (- 1.0 z))))
(+
(+
(/ 12.507343278686905 (+ -4.0 (+ z -1.0)))
(/ -0.13857109526572012 (+ -5.0 (+ z -1.0))))
(-
(-
(/ 771.3234287776531 (- -2.0 (- 1.0 z)))
(/ -176.6150291621406 (- (- 1.0 z) -3.0)))
(+
0.9999999999998099
(+ 46.9507597606837 (* z 361.7355639412844))))))))))
double code(double z) {
double t_0 = ((double) M_PI) / sin((((double) M_PI) * z));
double t_1 = sqrt((((double) M_PI) * 2.0));
double tmp;
if (z <= -2e-11) {
tmp = (t_1 * exp(((z + -7.5) + ((0.5 - z) * log((7.5 - z)))))) * (t_0 * ((((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z))) + (-0.13857109526572012 / (6.0 - z))) - (((9.984369578019572e-6 / (z - 7.0)) - (1.5056327351493116e-7 / (8.0 - z))) - ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z)))) + (771.3234287776531 / (3.0 - z))))));
} else {
tmp = (t_0 * (pow((7.5 - z), (0.5 - z)) * (exp((z + -7.5)) * t_1))) * (((9.984369578019572e-6 / ((1.0 - z) - -6.0)) - (1.5056327351493116e-7 / (-7.0 - (1.0 - z)))) - (((12.507343278686905 / (-4.0 + (z + -1.0))) + (-0.13857109526572012 / (-5.0 + (z + -1.0)))) + (((771.3234287776531 / (-2.0 - (1.0 - z))) - (-176.6150291621406 / ((1.0 - z) - -3.0))) - (0.9999999999998099 + (46.9507597606837 + (z * 361.7355639412844))))));
}
return tmp;
}
public static double code(double z) {
double t_0 = Math.PI / Math.sin((Math.PI * z));
double t_1 = Math.sqrt((Math.PI * 2.0));
double tmp;
if (z <= -2e-11) {
tmp = (t_1 * Math.exp(((z + -7.5) + ((0.5 - z) * Math.log((7.5 - z)))))) * (t_0 * ((((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z))) + (-0.13857109526572012 / (6.0 - z))) - (((9.984369578019572e-6 / (z - 7.0)) - (1.5056327351493116e-7 / (8.0 - z))) - ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z)))) + (771.3234287776531 / (3.0 - z))))));
} else {
tmp = (t_0 * (Math.pow((7.5 - z), (0.5 - z)) * (Math.exp((z + -7.5)) * t_1))) * (((9.984369578019572e-6 / ((1.0 - z) - -6.0)) - (1.5056327351493116e-7 / (-7.0 - (1.0 - z)))) - (((12.507343278686905 / (-4.0 + (z + -1.0))) + (-0.13857109526572012 / (-5.0 + (z + -1.0)))) + (((771.3234287776531 / (-2.0 - (1.0 - z))) - (-176.6150291621406 / ((1.0 - z) - -3.0))) - (0.9999999999998099 + (46.9507597606837 + (z * 361.7355639412844))))));
}
return tmp;
}
def code(z): t_0 = math.pi / math.sin((math.pi * z)) t_1 = math.sqrt((math.pi * 2.0)) tmp = 0 if z <= -2e-11: tmp = (t_1 * math.exp(((z + -7.5) + ((0.5 - z) * math.log((7.5 - z)))))) * (t_0 * ((((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z))) + (-0.13857109526572012 / (6.0 - z))) - (((9.984369578019572e-6 / (z - 7.0)) - (1.5056327351493116e-7 / (8.0 - z))) - ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z)))) + (771.3234287776531 / (3.0 - z)))))) else: tmp = (t_0 * (math.pow((7.5 - z), (0.5 - z)) * (math.exp((z + -7.5)) * t_1))) * (((9.984369578019572e-6 / ((1.0 - z) - -6.0)) - (1.5056327351493116e-7 / (-7.0 - (1.0 - z)))) - (((12.507343278686905 / (-4.0 + (z + -1.0))) + (-0.13857109526572012 / (-5.0 + (z + -1.0)))) + (((771.3234287776531 / (-2.0 - (1.0 - z))) - (-176.6150291621406 / ((1.0 - z) - -3.0))) - (0.9999999999998099 + (46.9507597606837 + (z * 361.7355639412844)))))) return tmp
function code(z) t_0 = Float64(pi / sin(Float64(pi * z))) t_1 = sqrt(Float64(pi * 2.0)) tmp = 0.0 if (z <= -2e-11) tmp = Float64(Float64(t_1 * exp(Float64(Float64(z + -7.5) + Float64(Float64(0.5 - z) * log(Float64(7.5 - z)))))) * Float64(t_0 * Float64(Float64(Float64(Float64(-176.6150291621406 / Float64(4.0 - z)) + Float64(12.507343278686905 / Float64(5.0 - z))) + Float64(-0.13857109526572012 / Float64(6.0 - z))) - Float64(Float64(Float64(9.984369578019572e-6 / Float64(z - 7.0)) - Float64(1.5056327351493116e-7 / Float64(8.0 - z))) - Float64(Float64(0.9999999999998099 + Float64(Float64(676.5203681218851 / Float64(1.0 - z)) + Float64(-1259.1392167224028 / Float64(2.0 - z)))) + Float64(771.3234287776531 / Float64(3.0 - z))))))); else tmp = Float64(Float64(t_0 * Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * Float64(exp(Float64(z + -7.5)) * t_1))) * Float64(Float64(Float64(9.984369578019572e-6 / Float64(Float64(1.0 - z) - -6.0)) - Float64(1.5056327351493116e-7 / Float64(-7.0 - Float64(1.0 - z)))) - Float64(Float64(Float64(12.507343278686905 / Float64(-4.0 + Float64(z + -1.0))) + Float64(-0.13857109526572012 / Float64(-5.0 + Float64(z + -1.0)))) + Float64(Float64(Float64(771.3234287776531 / Float64(-2.0 - Float64(1.0 - z))) - Float64(-176.6150291621406 / Float64(Float64(1.0 - z) - -3.0))) - Float64(0.9999999999998099 + Float64(46.9507597606837 + Float64(z * 361.7355639412844))))))); end return tmp end
function tmp_2 = code(z) t_0 = pi / sin((pi * z)); t_1 = sqrt((pi * 2.0)); tmp = 0.0; if (z <= -2e-11) tmp = (t_1 * exp(((z + -7.5) + ((0.5 - z) * log((7.5 - z)))))) * (t_0 * ((((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z))) + (-0.13857109526572012 / (6.0 - z))) - (((9.984369578019572e-6 / (z - 7.0)) - (1.5056327351493116e-7 / (8.0 - z))) - ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z)))) + (771.3234287776531 / (3.0 - z)))))); else tmp = (t_0 * (((7.5 - z) ^ (0.5 - z)) * (exp((z + -7.5)) * t_1))) * (((9.984369578019572e-6 / ((1.0 - z) - -6.0)) - (1.5056327351493116e-7 / (-7.0 - (1.0 - z)))) - (((12.507343278686905 / (-4.0 + (z + -1.0))) + (-0.13857109526572012 / (-5.0 + (z + -1.0)))) + (((771.3234287776531 / (-2.0 - (1.0 - z))) - (-176.6150291621406 / ((1.0 - z) - -3.0))) - (0.9999999999998099 + (46.9507597606837 + (z * 361.7355639412844)))))); end tmp_2 = tmp; end
code[z_] := Block[{t$95$0 = N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[z, -2e-11], N[(N[(t$95$1 * N[Exp[N[(N[(z + -7.5), $MachinePrecision] + N[(N[(0.5 - z), $MachinePrecision] * N[Log[N[(7.5 - z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(t$95$0 * N[(N[(N[(N[(-176.6150291621406 / N[(4.0 - z), $MachinePrecision]), $MachinePrecision] + N[(12.507343278686905 / N[(5.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(6.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(N[(9.984369578019572e-6 / N[(z - 7.0), $MachinePrecision]), $MachinePrecision] - N[(1.5056327351493116e-7 / N[(8.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(0.9999999999998099 + N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(771.3234287776531 / N[(3.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$0 * N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[(N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(9.984369578019572e-6 / N[(N[(1.0 - z), $MachinePrecision] - -6.0), $MachinePrecision]), $MachinePrecision] - N[(1.5056327351493116e-7 / N[(-7.0 - N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(N[(12.507343278686905 / N[(-4.0 + N[(z + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(-5.0 + N[(z + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(771.3234287776531 / N[(-2.0 - N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(-176.6150291621406 / N[(N[(1.0 - z), $MachinePrecision] - -3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(0.9999999999998099 + N[(46.9507597606837 + N[(z * 361.7355639412844), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\pi}{\sin \left(\pi \cdot z\right)}\\
t_1 := \sqrt{\pi \cdot 2}\\
\mathbf{if}\;z \leq -2 \cdot 10^{-11}:\\
\;\;\;\;\left(t\_1 \cdot e^{\left(z + -7.5\right) + \left(0.5 - z\right) \cdot \log \left(7.5 - z\right)}\right) \cdot \left(t\_0 \cdot \left(\left(\left(\frac{-176.6150291621406}{4 - z} + \frac{12.507343278686905}{5 - z}\right) + \frac{-0.13857109526572012}{6 - z}\right) - \left(\left(\frac{9.984369578019572 \cdot 10^{-6}}{z - 7} - \frac{1.5056327351493116 \cdot 10^{-7}}{8 - z}\right) - \left(\left(0.9999999999998099 + \left(\frac{676.5203681218851}{1 - z} + \frac{-1259.1392167224028}{2 - z}\right)\right) + \frac{771.3234287776531}{3 - z}\right)\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_0 \cdot \left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot \left(e^{z + -7.5} \cdot t\_1\right)\right)\right) \cdot \left(\left(\frac{9.984369578019572 \cdot 10^{-6}}{\left(1 - z\right) - -6} - \frac{1.5056327351493116 \cdot 10^{-7}}{-7 - \left(1 - z\right)}\right) - \left(\left(\frac{12.507343278686905}{-4 + \left(z + -1\right)} + \frac{-0.13857109526572012}{-5 + \left(z + -1\right)}\right) + \left(\left(\frac{771.3234287776531}{-2 - \left(1 - z\right)} - \frac{-176.6150291621406}{\left(1 - z\right) - -3}\right) - \left(0.9999999999998099 + \left(46.9507597606837 + z \cdot 361.7355639412844\right)\right)\right)\right)\right)\\
\end{array}
\end{array}
if z < -1.99999999999999988e-11Initial program 55.2%
Simplified55.8%
Taylor expanded in z around inf 56.3%
exp-to-pow55.8%
sub-neg55.8%
metadata-eval55.8%
+-commutative55.8%
Simplified55.8%
add-exp-log56.9%
*-commutative56.9%
log-prod56.9%
add-log-exp99.8%
+-commutative99.8%
log-pow99.8%
Applied egg-rr99.8%
if -1.99999999999999988e-11 < z Initial program 97.4%
Simplified99.1%
Taylor expanded in z around 0 99.1%
neg-mul-199.1%
Simplified99.1%
Taylor expanded in z around 0 99.1%
*-commutative99.1%
Simplified99.1%
pow199.1%
associate-*l*99.1%
*-commutative99.1%
associate-+l+99.1%
metadata-eval99.1%
associate--l-99.1%
neg-mul-199.1%
fma-define99.1%
Applied egg-rr99.1%
unpow199.1%
*-commutative99.1%
associate-*l*99.1%
+-commutative99.1%
associate-+r-99.1%
metadata-eval99.1%
+-commutative99.1%
associate--r+99.1%
metadata-eval99.1%
fma-undefine99.1%
mul-1-neg99.1%
+-commutative99.1%
distribute-neg-in99.1%
metadata-eval99.1%
remove-double-neg99.1%
*-commutative99.1%
Simplified99.1%
Final simplification99.1%
(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))))
(+
(+
(+
(+
0.9999999999998099
(+
(/ 676.5203681218851 (- 1.0 z))
(/ -1259.1392167224028 (+ 1.0 (- 1.0 z)))))
(+
(/ 771.3234287776531 (- (- 1.0 z) -2.0))
(/ -176.6150291621406 (- (- 1.0 z) -3.0))))
(+
(/ 12.507343278686905 (- (- 1.0 z) -4.0))
(/ -0.13857109526572012 (- (- 1.0 z) -5.0))))
(-
(/ 9.984369578019572e-6 (- (- 1.0 z) -6.0))
(/ 1.5056327351493116e-7 (- -7.0 (- 1.0 z))))))))
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)))) * ((((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (1.0 + (1.0 - z))))) + ((771.3234287776531 / ((1.0 - z) - -2.0)) + (-176.6150291621406 / ((1.0 - z) - -3.0)))) + ((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0)))) + ((9.984369578019572e-6 / ((1.0 - z) - -6.0)) - (1.5056327351493116e-7 / (-7.0 - (1.0 - z)))));
}
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)))) * ((((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (1.0 + (1.0 - z))))) + ((771.3234287776531 / ((1.0 - z) - -2.0)) + (-176.6150291621406 / ((1.0 - z) - -3.0)))) + ((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0)))) + ((9.984369578019572e-6 / ((1.0 - z) - -6.0)) - (1.5056327351493116e-7 / (-7.0 - (1.0 - z)))));
}
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(0.9999999999998099 + Float64(Float64(676.5203681218851 / Float64(1.0 - z)) + Float64(-1259.1392167224028 / Float64(1.0 + Float64(1.0 - z))))) + Float64(Float64(771.3234287776531 / Float64(Float64(1.0 - z) - -2.0)) + Float64(-176.6150291621406 / Float64(Float64(1.0 - z) - -3.0)))) + Float64(Float64(12.507343278686905 / Float64(Float64(1.0 - z) - -4.0)) + Float64(-0.13857109526572012 / Float64(Float64(1.0 - z) - -5.0)))) + Float64(Float64(9.984369578019572e-6 / Float64(Float64(1.0 - z) - -6.0)) - Float64(1.5056327351493116e-7 / Float64(-7.0 - Float64(1.0 - z)))))) 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[(0.9999999999998099 + N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + N[(-1259.1392167224028 / N[(1.0 + N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(771.3234287776531 / N[(N[(1.0 - z), $MachinePrecision] - -2.0), $MachinePrecision]), $MachinePrecision] + N[(-176.6150291621406 / N[(N[(1.0 - z), $MachinePrecision] - -3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 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]), $MachinePrecision] + N[(N[(9.984369578019572e-6 / N[(N[(1.0 - z), $MachinePrecision] - -6.0), $MachinePrecision]), $MachinePrecision] - N[(1.5056327351493116e-7 / N[(-7.0 - N[(1.0 - z), $MachinePrecision]), $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(\left(0.9999999999998099 + \left(\frac{676.5203681218851}{1 - z} + \frac{-1259.1392167224028}{1 + \left(1 - z\right)}\right)\right) + \left(\frac{771.3234287776531}{\left(1 - z\right) - -2} + \frac{-176.6150291621406}{\left(1 - z\right) - -3}\right)\right) + \left(\frac{12.507343278686905}{\left(1 - z\right) - -4} + \frac{-0.13857109526572012}{\left(1 - z\right) - -5}\right)\right) + \left(\frac{9.984369578019572 \cdot 10^{-6}}{\left(1 - z\right) - -6} - \frac{1.5056327351493116 \cdot 10^{-7}}{-7 - \left(1 - z\right)}\right)\right)
\end{array}
\end{array}
Initial program 96.2%
Simplified97.9%
pow1/297.9%
add-cube-cbrt98.1%
unpow-prod-down98.1%
pow298.1%
*-commutative98.1%
*-commutative98.1%
Applied egg-rr98.1%
unpow1/298.1%
unpow298.1%
rem-sqrt-square98.1%
unpow1/298.1%
Simplified98.1%
Final simplification98.1%
(FPCore (z)
:precision binary64
(*
(+
(+
(+
(+
0.9999999999998099
(+
(/ 676.5203681218851 (- 1.0 z))
(/ -1259.1392167224028 (+ 1.0 (- 1.0 z)))))
(+
(/ 771.3234287776531 (- (- 1.0 z) -2.0))
(/ -176.6150291621406 (- (- 1.0 z) -3.0))))
(+
(/ 12.507343278686905 (- (- 1.0 z) -4.0))
(/ -0.13857109526572012 (- (- 1.0 z) -5.0))))
(-
(/ 9.984369578019572e-6 (- (- 1.0 z) -6.0))
(/ 1.5056327351493116e-7 (- -7.0 (- 1.0 z)))))
(*
(/ PI (sin (* PI z)))
(*
(pow (cbrt (* PI 2.0)) 1.5)
(* (pow (- 7.5 z) (- 0.5 z)) (exp (+ z -7.5)))))))
double code(double z) {
return ((((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (1.0 + (1.0 - z))))) + ((771.3234287776531 / ((1.0 - z) - -2.0)) + (-176.6150291621406 / ((1.0 - z) - -3.0)))) + ((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0)))) + ((9.984369578019572e-6 / ((1.0 - z) - -6.0)) - (1.5056327351493116e-7 / (-7.0 - (1.0 - z))))) * ((((double) M_PI) / sin((((double) M_PI) * z))) * (pow(cbrt((((double) M_PI) * 2.0)), 1.5) * (pow((7.5 - z), (0.5 - z)) * exp((z + -7.5)))));
}
public static double code(double z) {
return ((((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (1.0 + (1.0 - z))))) + ((771.3234287776531 / ((1.0 - z) - -2.0)) + (-176.6150291621406 / ((1.0 - z) - -3.0)))) + ((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0)))) + ((9.984369578019572e-6 / ((1.0 - z) - -6.0)) - (1.5056327351493116e-7 / (-7.0 - (1.0 - z))))) * ((Math.PI / Math.sin((Math.PI * z))) * (Math.pow(Math.cbrt((Math.PI * 2.0)), 1.5) * (Math.pow((7.5 - z), (0.5 - z)) * Math.exp((z + -7.5)))));
}
function code(z) return Float64(Float64(Float64(Float64(Float64(0.9999999999998099 + Float64(Float64(676.5203681218851 / Float64(1.0 - z)) + Float64(-1259.1392167224028 / Float64(1.0 + Float64(1.0 - z))))) + Float64(Float64(771.3234287776531 / Float64(Float64(1.0 - z) - -2.0)) + Float64(-176.6150291621406 / Float64(Float64(1.0 - z) - -3.0)))) + Float64(Float64(12.507343278686905 / Float64(Float64(1.0 - z) - -4.0)) + Float64(-0.13857109526572012 / Float64(Float64(1.0 - z) - -5.0)))) + Float64(Float64(9.984369578019572e-6 / Float64(Float64(1.0 - z) - -6.0)) - Float64(1.5056327351493116e-7 / Float64(-7.0 - Float64(1.0 - z))))) * Float64(Float64(pi / sin(Float64(pi * z))) * Float64((cbrt(Float64(pi * 2.0)) ^ 1.5) * Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * exp(Float64(z + -7.5)))))) end
code[z_] := N[(N[(N[(N[(N[(0.9999999999998099 + N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + N[(-1259.1392167224028 / N[(1.0 + N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(771.3234287776531 / N[(N[(1.0 - z), $MachinePrecision] - -2.0), $MachinePrecision]), $MachinePrecision] + N[(-176.6150291621406 / N[(N[(1.0 - z), $MachinePrecision] - -3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 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]), $MachinePrecision] + N[(N[(9.984369578019572e-6 / N[(N[(1.0 - z), $MachinePrecision] - -6.0), $MachinePrecision]), $MachinePrecision] - N[(1.5056327351493116e-7 / N[(-7.0 - N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[Power[N[(Pi * 2.0), $MachinePrecision], 1/3], $MachinePrecision], 1.5], $MachinePrecision] * N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\left(0.9999999999998099 + \left(\frac{676.5203681218851}{1 - z} + \frac{-1259.1392167224028}{1 + \left(1 - z\right)}\right)\right) + \left(\frac{771.3234287776531}{\left(1 - z\right) - -2} + \frac{-176.6150291621406}{\left(1 - z\right) - -3}\right)\right) + \left(\frac{12.507343278686905}{\left(1 - z\right) - -4} + \frac{-0.13857109526572012}{\left(1 - z\right) - -5}\right)\right) + \left(\frac{9.984369578019572 \cdot 10^{-6}}{\left(1 - z\right) - -6} - \frac{1.5056327351493116 \cdot 10^{-7}}{-7 - \left(1 - z\right)}\right)\right) \cdot \left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left({\left(\sqrt[3]{\pi \cdot 2}\right)}^{1.5} \cdot \left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot e^{z + -7.5}\right)\right)\right)
\end{array}
Initial program 96.2%
Simplified97.9%
pow1/297.9%
add-cube-cbrt98.1%
unpow-prod-down98.1%
pow298.1%
*-commutative98.1%
*-commutative98.1%
Applied egg-rr98.1%
unpow1/298.1%
unpow298.1%
rem-sqrt-square98.1%
unpow1/298.1%
Simplified98.1%
pow198.1%
Applied egg-rr98.1%
Simplified98.1%
Final simplification98.1%
(FPCore (z)
:precision binary64
(*
(+
(+
(+
(+
0.9999999999998099
(+
(/ 676.5203681218851 (- 1.0 z))
(/ -1259.1392167224028 (+ 1.0 (- 1.0 z)))))
(+
(/ 771.3234287776531 (- (- 1.0 z) -2.0))
(/ -176.6150291621406 (- (- 1.0 z) -3.0))))
(+
(/ 12.507343278686905 (- (- 1.0 z) -4.0))
(/ -0.13857109526572012 (- (- 1.0 z) -5.0))))
(-
(/ 9.984369578019572e-6 (- (- 1.0 z) -6.0))
(/ 1.5056327351493116e-7 (- -7.0 (- 1.0 z)))))
(*
(/ PI (sin (* PI z)))
(* (pow (- 7.5 z) (- 0.5 z)) (* (exp (+ z -7.5)) (sqrt (* PI 2.0)))))))
double code(double z) {
return ((((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (1.0 + (1.0 - z))))) + ((771.3234287776531 / ((1.0 - z) - -2.0)) + (-176.6150291621406 / ((1.0 - z) - -3.0)))) + ((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0)))) + ((9.984369578019572e-6 / ((1.0 - z) - -6.0)) - (1.5056327351493116e-7 / (-7.0 - (1.0 - z))))) * ((((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 ((((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (1.0 + (1.0 - z))))) + ((771.3234287776531 / ((1.0 - z) - -2.0)) + (-176.6150291621406 / ((1.0 - z) - -3.0)))) + ((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0)))) + ((9.984369578019572e-6 / ((1.0 - z) - -6.0)) - (1.5056327351493116e-7 / (-7.0 - (1.0 - z))))) * ((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 ((((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (1.0 + (1.0 - z))))) + ((771.3234287776531 / ((1.0 - z) - -2.0)) + (-176.6150291621406 / ((1.0 - z) - -3.0)))) + ((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0)))) + ((9.984369578019572e-6 / ((1.0 - z) - -6.0)) - (1.5056327351493116e-7 / (-7.0 - (1.0 - z))))) * ((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(0.9999999999998099 + Float64(Float64(676.5203681218851 / Float64(1.0 - z)) + Float64(-1259.1392167224028 / Float64(1.0 + Float64(1.0 - z))))) + Float64(Float64(771.3234287776531 / Float64(Float64(1.0 - z) - -2.0)) + Float64(-176.6150291621406 / Float64(Float64(1.0 - z) - -3.0)))) + Float64(Float64(12.507343278686905 / Float64(Float64(1.0 - z) - -4.0)) + Float64(-0.13857109526572012 / Float64(Float64(1.0 - z) - -5.0)))) + Float64(Float64(9.984369578019572e-6 / Float64(Float64(1.0 - z) - -6.0)) - Float64(1.5056327351493116e-7 / Float64(-7.0 - Float64(1.0 - z))))) * 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 = ((((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (1.0 + (1.0 - z))))) + ((771.3234287776531 / ((1.0 - z) - -2.0)) + (-176.6150291621406 / ((1.0 - z) - -3.0)))) + ((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0)))) + ((9.984369578019572e-6 / ((1.0 - z) - -6.0)) - (1.5056327351493116e-7 / (-7.0 - (1.0 - z))))) * ((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[(0.9999999999998099 + N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + N[(-1259.1392167224028 / N[(1.0 + N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(771.3234287776531 / N[(N[(1.0 - z), $MachinePrecision] - -2.0), $MachinePrecision]), $MachinePrecision] + N[(-176.6150291621406 / N[(N[(1.0 - z), $MachinePrecision] - -3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 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]), $MachinePrecision] + N[(N[(9.984369578019572e-6 / N[(N[(1.0 - z), $MachinePrecision] - -6.0), $MachinePrecision]), $MachinePrecision] - N[(1.5056327351493116e-7 / N[(-7.0 - N[(1.0 - z), $MachinePrecision]), $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(\left(0.9999999999998099 + \left(\frac{676.5203681218851}{1 - z} + \frac{-1259.1392167224028}{1 + \left(1 - z\right)}\right)\right) + \left(\frac{771.3234287776531}{\left(1 - z\right) - -2} + \frac{-176.6150291621406}{\left(1 - z\right) - -3}\right)\right) + \left(\frac{12.507343278686905}{\left(1 - z\right) - -4} + \frac{-0.13857109526572012}{\left(1 - z\right) - -5}\right)\right) + \left(\frac{9.984369578019572 \cdot 10^{-6}}{\left(1 - z\right) - -6} - \frac{1.5056327351493116 \cdot 10^{-7}}{-7 - \left(1 - z\right)}\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 96.2%
Simplified97.9%
pow197.9%
Applied egg-rr97.9%
unpow197.9%
associate-*r*97.9%
*-commutative97.9%
associate-*l*97.9%
fma-undefine97.9%
neg-mul-197.9%
+-commutative97.9%
sub-neg97.9%
neg-mul-197.9%
fma-undefine97.9%
neg-mul-197.9%
+-commutative97.9%
neg-mul-197.9%
neg-mul-197.9%
neg-mul-197.9%
distribute-neg-in97.9%
metadata-eval97.9%
remove-double-neg97.9%
Simplified97.9%
Final simplification97.9%
(FPCore (z)
:precision binary64
(*
(*
(/ PI (sin (* PI z)))
(* (* (sqrt (* PI 2.0)) (pow (- 7.5 z) (- (- 1.0 z) 0.5))) (exp (- z 7.5))))
(+
(-
(/ 9.984369578019572e-6 (- (- 1.0 z) -6.0))
(/ 1.5056327351493116e-7 (- -7.0 (- 1.0 z))))
(-
(+
(/ 12.507343278686905 (- (- 1.0 z) -4.0))
(/ -0.13857109526572012 (- (- 1.0 z) -5.0)))
(+
(-
(+ (/ 676.5203681218851 (+ z -1.0)) (/ -1259.1392167224028 (- z 2.0)))
0.9999999999998099)
(-
(/ 771.3234287776531 (- -2.0 (- 1.0 z)))
(/ -176.6150291621406 (- (- 1.0 z) -3.0))))))))
double code(double z) {
return ((((double) M_PI) / sin((((double) M_PI) * z))) * ((sqrt((((double) M_PI) * 2.0)) * pow((7.5 - z), ((1.0 - z) - 0.5))) * exp((z - 7.5)))) * (((9.984369578019572e-6 / ((1.0 - z) - -6.0)) - (1.5056327351493116e-7 / (-7.0 - (1.0 - z)))) + (((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0))) - ((((676.5203681218851 / (z + -1.0)) + (-1259.1392167224028 / (z - 2.0))) - 0.9999999999998099) + ((771.3234287776531 / (-2.0 - (1.0 - z))) - (-176.6150291621406 / ((1.0 - z) - -3.0))))));
}
public static double code(double z) {
return ((Math.PI / Math.sin((Math.PI * z))) * ((Math.sqrt((Math.PI * 2.0)) * Math.pow((7.5 - z), ((1.0 - z) - 0.5))) * Math.exp((z - 7.5)))) * (((9.984369578019572e-6 / ((1.0 - z) - -6.0)) - (1.5056327351493116e-7 / (-7.0 - (1.0 - z)))) + (((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0))) - ((((676.5203681218851 / (z + -1.0)) + (-1259.1392167224028 / (z - 2.0))) - 0.9999999999998099) + ((771.3234287776531 / (-2.0 - (1.0 - z))) - (-176.6150291621406 / ((1.0 - z) - -3.0))))));
}
def code(z): return ((math.pi / math.sin((math.pi * z))) * ((math.sqrt((math.pi * 2.0)) * math.pow((7.5 - z), ((1.0 - z) - 0.5))) * math.exp((z - 7.5)))) * (((9.984369578019572e-6 / ((1.0 - z) - -6.0)) - (1.5056327351493116e-7 / (-7.0 - (1.0 - z)))) + (((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0))) - ((((676.5203681218851 / (z + -1.0)) + (-1259.1392167224028 / (z - 2.0))) - 0.9999999999998099) + ((771.3234287776531 / (-2.0 - (1.0 - z))) - (-176.6150291621406 / ((1.0 - z) - -3.0))))))
function code(z) return Float64(Float64(Float64(pi / sin(Float64(pi * z))) * Float64(Float64(sqrt(Float64(pi * 2.0)) * (Float64(7.5 - z) ^ Float64(Float64(1.0 - z) - 0.5))) * exp(Float64(z - 7.5)))) * Float64(Float64(Float64(9.984369578019572e-6 / Float64(Float64(1.0 - z) - -6.0)) - Float64(1.5056327351493116e-7 / Float64(-7.0 - Float64(1.0 - z)))) + 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(676.5203681218851 / Float64(z + -1.0)) + Float64(-1259.1392167224028 / Float64(z - 2.0))) - 0.9999999999998099) + Float64(Float64(771.3234287776531 / Float64(-2.0 - Float64(1.0 - z))) - Float64(-176.6150291621406 / Float64(Float64(1.0 - z) - -3.0))))))) end
function tmp = code(z) tmp = ((pi / sin((pi * z))) * ((sqrt((pi * 2.0)) * ((7.5 - z) ^ ((1.0 - z) - 0.5))) * exp((z - 7.5)))) * (((9.984369578019572e-6 / ((1.0 - z) - -6.0)) - (1.5056327351493116e-7 / (-7.0 - (1.0 - z)))) + (((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0))) - ((((676.5203681218851 / (z + -1.0)) + (-1259.1392167224028 / (z - 2.0))) - 0.9999999999998099) + ((771.3234287776531 / (-2.0 - (1.0 - z))) - (-176.6150291621406 / ((1.0 - z) - -3.0)))))); end
code[z_] := N[(N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[Power[N[(7.5 - z), $MachinePrecision], N[(N[(1.0 - z), $MachinePrecision] - 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Exp[N[(z - 7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(9.984369578019572e-6 / N[(N[(1.0 - z), $MachinePrecision] - -6.0), $MachinePrecision]), $MachinePrecision] - N[(1.5056327351493116e-7 / N[(-7.0 - N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 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[(676.5203681218851 / N[(z + -1.0), $MachinePrecision]), $MachinePrecision] + N[(-1259.1392167224028 / N[(z - 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.9999999999998099), $MachinePrecision] + N[(N[(771.3234287776531 / N[(-2.0 - N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(-176.6150291621406 / N[(N[(1.0 - z), $MachinePrecision] - -3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\sqrt{\pi \cdot 2} \cdot {\left(7.5 - z\right)}^{\left(\left(1 - z\right) - 0.5\right)}\right) \cdot e^{z - 7.5}\right)\right) \cdot \left(\left(\frac{9.984369578019572 \cdot 10^{-6}}{\left(1 - z\right) - -6} - \frac{1.5056327351493116 \cdot 10^{-7}}{-7 - \left(1 - z\right)}\right) + \left(\left(\frac{12.507343278686905}{\left(1 - z\right) - -4} + \frac{-0.13857109526572012}{\left(1 - z\right) - -5}\right) - \left(\left(\left(\frac{676.5203681218851}{z + -1} + \frac{-1259.1392167224028}{z - 2}\right) - 0.9999999999998099\right) + \left(\frac{771.3234287776531}{-2 - \left(1 - z\right)} - \frac{-176.6150291621406}{\left(1 - z\right) - -3}\right)\right)\right)\right)
\end{array}
Initial program 96.2%
Simplified97.9%
Taylor expanded in z around 0 97.9%
neg-mul-197.9%
Simplified97.9%
*-un-lft-identity97.9%
--rgt-identity97.9%
sub-neg97.9%
metadata-eval97.9%
Applied egg-rr97.9%
*-lft-identity97.9%
+-commutative97.9%
associate-+r-97.9%
metadata-eval97.9%
Simplified97.9%
Taylor expanded in z around 0 97.9%
neg-mul-197.9%
Simplified97.9%
Final simplification97.9%
(FPCore (z)
:precision binary64
(let* ((t_0 (sqrt (* PI 2.0)))
(t_1 (/ PI (sin (* PI z))))
(t_2 (/ 676.5203681218851 (- 1.0 z))))
(if (<= z -5e-13)
(*
(* t_0 (exp (+ (+ z -7.5) (* (- 0.5 z) (log (- 7.5 z))))))
(*
t_1
(-
(+
(+ (/ -176.6150291621406 (- 4.0 z)) (/ 12.507343278686905 (- 5.0 z)))
(/ -0.13857109526572012 (- 6.0 z)))
(-
(-
(/ 9.984369578019572e-6 (- z 7.0))
(/ 1.5056327351493116e-7 (- 8.0 z)))
(+
(+ 0.9999999999998099 (+ t_2 (/ -1259.1392167224028 (- 2.0 z))))
(/ 771.3234287776531 (- 3.0 z)))))))
(*
(+
(+
0.9999999999998099
(+
(+ t_2 (/ -1259.1392167224028 (+ 1.0 (- 1.0 z))))
(+ 212.9540523020159 (* z 74.66416387488323))))
2.4783749183520145)
(*
t_1
(*
t_0
(*
(pow (+ (- 1.0 z) 6.5) (+ (- 1.0 z) -0.5))
(exp (- (+ z -1.0) 6.5)))))))))
double code(double z) {
double t_0 = sqrt((((double) M_PI) * 2.0));
double t_1 = ((double) M_PI) / sin((((double) M_PI) * z));
double t_2 = 676.5203681218851 / (1.0 - z);
double tmp;
if (z <= -5e-13) {
tmp = (t_0 * exp(((z + -7.5) + ((0.5 - z) * log((7.5 - z)))))) * (t_1 * ((((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z))) + (-0.13857109526572012 / (6.0 - z))) - (((9.984369578019572e-6 / (z - 7.0)) - (1.5056327351493116e-7 / (8.0 - z))) - ((0.9999999999998099 + (t_2 + (-1259.1392167224028 / (2.0 - z)))) + (771.3234287776531 / (3.0 - z))))));
} else {
tmp = ((0.9999999999998099 + ((t_2 + (-1259.1392167224028 / (1.0 + (1.0 - z)))) + (212.9540523020159 + (z * 74.66416387488323)))) + 2.4783749183520145) * (t_1 * (t_0 * (pow(((1.0 - z) + 6.5), ((1.0 - z) + -0.5)) * exp(((z + -1.0) - 6.5)))));
}
return tmp;
}
public static double code(double z) {
double t_0 = Math.sqrt((Math.PI * 2.0));
double t_1 = Math.PI / Math.sin((Math.PI * z));
double t_2 = 676.5203681218851 / (1.0 - z);
double tmp;
if (z <= -5e-13) {
tmp = (t_0 * Math.exp(((z + -7.5) + ((0.5 - z) * Math.log((7.5 - z)))))) * (t_1 * ((((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z))) + (-0.13857109526572012 / (6.0 - z))) - (((9.984369578019572e-6 / (z - 7.0)) - (1.5056327351493116e-7 / (8.0 - z))) - ((0.9999999999998099 + (t_2 + (-1259.1392167224028 / (2.0 - z)))) + (771.3234287776531 / (3.0 - z))))));
} else {
tmp = ((0.9999999999998099 + ((t_2 + (-1259.1392167224028 / (1.0 + (1.0 - z)))) + (212.9540523020159 + (z * 74.66416387488323)))) + 2.4783749183520145) * (t_1 * (t_0 * (Math.pow(((1.0 - z) + 6.5), ((1.0 - z) + -0.5)) * Math.exp(((z + -1.0) - 6.5)))));
}
return tmp;
}
def code(z): t_0 = math.sqrt((math.pi * 2.0)) t_1 = math.pi / math.sin((math.pi * z)) t_2 = 676.5203681218851 / (1.0 - z) tmp = 0 if z <= -5e-13: tmp = (t_0 * math.exp(((z + -7.5) + ((0.5 - z) * math.log((7.5 - z)))))) * (t_1 * ((((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z))) + (-0.13857109526572012 / (6.0 - z))) - (((9.984369578019572e-6 / (z - 7.0)) - (1.5056327351493116e-7 / (8.0 - z))) - ((0.9999999999998099 + (t_2 + (-1259.1392167224028 / (2.0 - z)))) + (771.3234287776531 / (3.0 - z)))))) else: tmp = ((0.9999999999998099 + ((t_2 + (-1259.1392167224028 / (1.0 + (1.0 - z)))) + (212.9540523020159 + (z * 74.66416387488323)))) + 2.4783749183520145) * (t_1 * (t_0 * (math.pow(((1.0 - z) + 6.5), ((1.0 - z) + -0.5)) * math.exp(((z + -1.0) - 6.5))))) return tmp
function code(z) t_0 = sqrt(Float64(pi * 2.0)) t_1 = Float64(pi / sin(Float64(pi * z))) t_2 = Float64(676.5203681218851 / Float64(1.0 - z)) tmp = 0.0 if (z <= -5e-13) tmp = Float64(Float64(t_0 * exp(Float64(Float64(z + -7.5) + Float64(Float64(0.5 - z) * log(Float64(7.5 - z)))))) * Float64(t_1 * Float64(Float64(Float64(Float64(-176.6150291621406 / Float64(4.0 - z)) + Float64(12.507343278686905 / Float64(5.0 - z))) + Float64(-0.13857109526572012 / Float64(6.0 - z))) - Float64(Float64(Float64(9.984369578019572e-6 / Float64(z - 7.0)) - Float64(1.5056327351493116e-7 / Float64(8.0 - z))) - Float64(Float64(0.9999999999998099 + Float64(t_2 + Float64(-1259.1392167224028 / Float64(2.0 - z)))) + Float64(771.3234287776531 / Float64(3.0 - z))))))); else tmp = Float64(Float64(Float64(0.9999999999998099 + Float64(Float64(t_2 + Float64(-1259.1392167224028 / Float64(1.0 + Float64(1.0 - z)))) + Float64(212.9540523020159 + Float64(z * 74.66416387488323)))) + 2.4783749183520145) * Float64(t_1 * Float64(t_0 * Float64((Float64(Float64(1.0 - z) + 6.5) ^ Float64(Float64(1.0 - z) + -0.5)) * exp(Float64(Float64(z + -1.0) - 6.5)))))); end return tmp end
function tmp_2 = code(z) t_0 = sqrt((pi * 2.0)); t_1 = pi / sin((pi * z)); t_2 = 676.5203681218851 / (1.0 - z); tmp = 0.0; if (z <= -5e-13) tmp = (t_0 * exp(((z + -7.5) + ((0.5 - z) * log((7.5 - z)))))) * (t_1 * ((((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z))) + (-0.13857109526572012 / (6.0 - z))) - (((9.984369578019572e-6 / (z - 7.0)) - (1.5056327351493116e-7 / (8.0 - z))) - ((0.9999999999998099 + (t_2 + (-1259.1392167224028 / (2.0 - z)))) + (771.3234287776531 / (3.0 - z)))))); else tmp = ((0.9999999999998099 + ((t_2 + (-1259.1392167224028 / (1.0 + (1.0 - z)))) + (212.9540523020159 + (z * 74.66416387488323)))) + 2.4783749183520145) * (t_1 * (t_0 * ((((1.0 - z) + 6.5) ^ ((1.0 - z) + -0.5)) * exp(((z + -1.0) - 6.5))))); end tmp_2 = tmp; end
code[z_] := Block[{t$95$0 = N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[z, -5e-13], N[(N[(t$95$0 * N[Exp[N[(N[(z + -7.5), $MachinePrecision] + N[(N[(0.5 - z), $MachinePrecision] * N[Log[N[(7.5 - z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(t$95$1 * N[(N[(N[(N[(-176.6150291621406 / N[(4.0 - z), $MachinePrecision]), $MachinePrecision] + N[(12.507343278686905 / N[(5.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(6.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(N[(9.984369578019572e-6 / N[(z - 7.0), $MachinePrecision]), $MachinePrecision] - N[(1.5056327351493116e-7 / N[(8.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(0.9999999999998099 + N[(t$95$2 + N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(771.3234287776531 / N[(3.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(0.9999999999998099 + N[(N[(t$95$2 + N[(-1259.1392167224028 / N[(1.0 + N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(212.9540523020159 + N[(z * 74.66416387488323), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.4783749183520145), $MachinePrecision] * N[(t$95$1 * N[(t$95$0 * N[(N[Power[N[(N[(1.0 - z), $MachinePrecision] + 6.5), $MachinePrecision], N[(N[(1.0 - z), $MachinePrecision] + -0.5), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(N[(z + -1.0), $MachinePrecision] - 6.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{\pi \cdot 2}\\
t_1 := \frac{\pi}{\sin \left(\pi \cdot z\right)}\\
t_2 := \frac{676.5203681218851}{1 - z}\\
\mathbf{if}\;z \leq -5 \cdot 10^{-13}:\\
\;\;\;\;\left(t\_0 \cdot e^{\left(z + -7.5\right) + \left(0.5 - z\right) \cdot \log \left(7.5 - z\right)}\right) \cdot \left(t\_1 \cdot \left(\left(\left(\frac{-176.6150291621406}{4 - z} + \frac{12.507343278686905}{5 - z}\right) + \frac{-0.13857109526572012}{6 - z}\right) - \left(\left(\frac{9.984369578019572 \cdot 10^{-6}}{z - 7} - \frac{1.5056327351493116 \cdot 10^{-7}}{8 - z}\right) - \left(\left(0.9999999999998099 + \left(t\_2 + \frac{-1259.1392167224028}{2 - z}\right)\right) + \frac{771.3234287776531}{3 - z}\right)\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(0.9999999999998099 + \left(\left(t\_2 + \frac{-1259.1392167224028}{1 + \left(1 - z\right)}\right) + \left(212.9540523020159 + z \cdot 74.66416387488323\right)\right)\right) + 2.4783749183520145\right) \cdot \left(t\_1 \cdot \left(t\_0 \cdot \left({\left(\left(1 - z\right) + 6.5\right)}^{\left(\left(1 - z\right) + -0.5\right)} \cdot e^{\left(z + -1\right) - 6.5}\right)\right)\right)\\
\end{array}
\end{array}
if z < -4.9999999999999999e-13Initial program 64.8%
Simplified65.0%
Taylor expanded in z around inf 65.3%
exp-to-pow65.0%
sub-neg65.0%
metadata-eval65.0%
+-commutative65.0%
Simplified65.0%
add-exp-log66.0%
*-commutative66.0%
log-prod66.0%
add-log-exp99.4%
+-commutative99.4%
log-pow99.4%
Applied egg-rr99.4%
if -4.9999999999999999e-13 < z Initial program 97.3%
Simplified97.7%
Taylor expanded in z around 0 97.6%
Taylor expanded in z around 0 99.0%
*-commutative99.0%
Simplified99.0%
Final simplification99.0%
(FPCore (z)
:precision binary64
(*
(+
(+
0.9999999999998099
(+
(+
(/ 676.5203681218851 (- 1.0 z))
(/ -1259.1392167224028 (+ 1.0 (- 1.0 z))))
(+ 212.9540523020159 (* z 74.66416387488323))))
2.4783749183520145)
(*
(/ PI (sin (* PI z)))
(*
(sqrt (* PI 2.0))
(* (pow (+ (- 1.0 z) 6.5) (+ (- 1.0 z) -0.5)) (exp (- (+ z -1.0) 6.5)))))))
double code(double z) {
return ((0.9999999999998099 + (((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (1.0 + (1.0 - z)))) + (212.9540523020159 + (z * 74.66416387488323)))) + 2.4783749183520145) * ((((double) M_PI) / sin((((double) M_PI) * z))) * (sqrt((((double) M_PI) * 2.0)) * (pow(((1.0 - z) + 6.5), ((1.0 - z) + -0.5)) * exp(((z + -1.0) - 6.5)))));
}
public static double code(double z) {
return ((0.9999999999998099 + (((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (1.0 + (1.0 - z)))) + (212.9540523020159 + (z * 74.66416387488323)))) + 2.4783749183520145) * ((Math.PI / Math.sin((Math.PI * z))) * (Math.sqrt((Math.PI * 2.0)) * (Math.pow(((1.0 - z) + 6.5), ((1.0 - z) + -0.5)) * Math.exp(((z + -1.0) - 6.5)))));
}
def code(z): return ((0.9999999999998099 + (((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (1.0 + (1.0 - z)))) + (212.9540523020159 + (z * 74.66416387488323)))) + 2.4783749183520145) * ((math.pi / math.sin((math.pi * z))) * (math.sqrt((math.pi * 2.0)) * (math.pow(((1.0 - z) + 6.5), ((1.0 - z) + -0.5)) * math.exp(((z + -1.0) - 6.5)))))
function code(z) return Float64(Float64(Float64(0.9999999999998099 + Float64(Float64(Float64(676.5203681218851 / Float64(1.0 - z)) + Float64(-1259.1392167224028 / Float64(1.0 + Float64(1.0 - z)))) + Float64(212.9540523020159 + Float64(z * 74.66416387488323)))) + 2.4783749183520145) * Float64(Float64(pi / sin(Float64(pi * z))) * Float64(sqrt(Float64(pi * 2.0)) * Float64((Float64(Float64(1.0 - z) + 6.5) ^ Float64(Float64(1.0 - z) + -0.5)) * exp(Float64(Float64(z + -1.0) - 6.5)))))) end
function tmp = code(z) tmp = ((0.9999999999998099 + (((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (1.0 + (1.0 - z)))) + (212.9540523020159 + (z * 74.66416387488323)))) + 2.4783749183520145) * ((pi / sin((pi * z))) * (sqrt((pi * 2.0)) * ((((1.0 - z) + 6.5) ^ ((1.0 - z) + -0.5)) * exp(((z + -1.0) - 6.5))))); end
code[z_] := N[(N[(N[(0.9999999999998099 + N[(N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + N[(-1259.1392167224028 / N[(1.0 + N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(212.9540523020159 + N[(z * 74.66416387488323), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 2.4783749183520145), $MachinePrecision] * N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[Power[N[(N[(1.0 - z), $MachinePrecision] + 6.5), $MachinePrecision], N[(N[(1.0 - z), $MachinePrecision] + -0.5), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(N[(z + -1.0), $MachinePrecision] - 6.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(0.9999999999998099 + \left(\left(\frac{676.5203681218851}{1 - z} + \frac{-1259.1392167224028}{1 + \left(1 - z\right)}\right) + \left(212.9540523020159 + z \cdot 74.66416387488323\right)\right)\right) + 2.4783749183520145\right) \cdot \left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\sqrt{\pi \cdot 2} \cdot \left({\left(\left(1 - z\right) + 6.5\right)}^{\left(\left(1 - z\right) + -0.5\right)} \cdot e^{\left(z + -1\right) - 6.5}\right)\right)\right)
\end{array}
Initial program 96.2%
Simplified96.6%
Taylor expanded in z around 0 95.9%
Taylor expanded in z around 0 97.1%
*-commutative97.1%
Simplified97.1%
Final simplification97.1%
(FPCore (z)
:precision binary64
(*
(*
(/ PI (sin (* PI z)))
(*
(sqrt (* PI 2.0))
(* (pow (+ (- 1.0 z) 6.5) (+ (- 1.0 z) -0.5)) (exp (- (+ z -1.0) 6.5)))))
(+ (* z 361.7355639412844) 263.3831869810514)))
double code(double z) {
return ((((double) M_PI) / sin((((double) M_PI) * z))) * (sqrt((((double) M_PI) * 2.0)) * (pow(((1.0 - z) + 6.5), ((1.0 - z) + -0.5)) * exp(((z + -1.0) - 6.5))))) * ((z * 361.7355639412844) + 263.3831869810514);
}
public static double code(double z) {
return ((Math.PI / Math.sin((Math.PI * z))) * (Math.sqrt((Math.PI * 2.0)) * (Math.pow(((1.0 - z) + 6.5), ((1.0 - z) + -0.5)) * Math.exp(((z + -1.0) - 6.5))))) * ((z * 361.7355639412844) + 263.3831869810514);
}
def code(z): return ((math.pi / math.sin((math.pi * z))) * (math.sqrt((math.pi * 2.0)) * (math.pow(((1.0 - z) + 6.5), ((1.0 - z) + -0.5)) * math.exp(((z + -1.0) - 6.5))))) * ((z * 361.7355639412844) + 263.3831869810514)
function code(z) return Float64(Float64(Float64(pi / sin(Float64(pi * z))) * Float64(sqrt(Float64(pi * 2.0)) * Float64((Float64(Float64(1.0 - z) + 6.5) ^ Float64(Float64(1.0 - z) + -0.5)) * exp(Float64(Float64(z + -1.0) - 6.5))))) * Float64(Float64(z * 361.7355639412844) + 263.3831869810514)) end
function tmp = code(z) tmp = ((pi / sin((pi * z))) * (sqrt((pi * 2.0)) * ((((1.0 - z) + 6.5) ^ ((1.0 - z) + -0.5)) * exp(((z + -1.0) - 6.5))))) * ((z * 361.7355639412844) + 263.3831869810514); end
code[z_] := N[(N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[Power[N[(N[(1.0 - z), $MachinePrecision] + 6.5), $MachinePrecision], N[(N[(1.0 - z), $MachinePrecision] + -0.5), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(N[(z + -1.0), $MachinePrecision] - 6.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(z * 361.7355639412844), $MachinePrecision] + 263.3831869810514), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\sqrt{\pi \cdot 2} \cdot \left({\left(\left(1 - z\right) + 6.5\right)}^{\left(\left(1 - z\right) + -0.5\right)} \cdot e^{\left(z + -1\right) - 6.5}\right)\right)\right) \cdot \left(z \cdot 361.7355639412844 + 263.3831869810514\right)
\end{array}
Initial program 96.2%
Simplified96.6%
Taylor expanded in z around 0 95.9%
Taylor expanded in z around 0 96.8%
Taylor expanded in z around 0 96.3%
*-commutative96.3%
Simplified96.3%
Final simplification96.3%
(FPCore (z)
:precision binary64
(*
(*
(/ PI (sin (* PI z)))
(*
(exp (- z 7.5))
(* (pow (+ (+ (- 1.0 z) -1.0) 7.5) (- (- 1.0 z) 0.5)) (sqrt (* PI 2.0)))))
(+ 263.3831869810514 (* z 436.8961725563396))))
double code(double z) {
return ((((double) M_PI) / sin((((double) M_PI) * z))) * (exp((z - 7.5)) * (pow((((1.0 - z) + -1.0) + 7.5), ((1.0 - z) - 0.5)) * sqrt((((double) M_PI) * 2.0))))) * (263.3831869810514 + (z * 436.8961725563396));
}
public static double code(double z) {
return ((Math.PI / Math.sin((Math.PI * z))) * (Math.exp((z - 7.5)) * (Math.pow((((1.0 - z) + -1.0) + 7.5), ((1.0 - z) - 0.5)) * Math.sqrt((Math.PI * 2.0))))) * (263.3831869810514 + (z * 436.8961725563396));
}
def code(z): return ((math.pi / math.sin((math.pi * z))) * (math.exp((z - 7.5)) * (math.pow((((1.0 - z) + -1.0) + 7.5), ((1.0 - z) - 0.5)) * math.sqrt((math.pi * 2.0))))) * (263.3831869810514 + (z * 436.8961725563396))
function code(z) return Float64(Float64(Float64(pi / sin(Float64(pi * z))) * Float64(exp(Float64(z - 7.5)) * Float64((Float64(Float64(Float64(1.0 - z) + -1.0) + 7.5) ^ Float64(Float64(1.0 - z) - 0.5)) * sqrt(Float64(pi * 2.0))))) * Float64(263.3831869810514 + Float64(z * 436.8961725563396))) end
function tmp = code(z) tmp = ((pi / sin((pi * z))) * (exp((z - 7.5)) * (((((1.0 - z) + -1.0) + 7.5) ^ ((1.0 - z) - 0.5)) * sqrt((pi * 2.0))))) * (263.3831869810514 + (z * 436.8961725563396)); 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[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]), $MachinePrecision]), $MachinePrecision] * N[(263.3831869810514 + N[(z * 436.8961725563396), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(e^{z - 7.5} \cdot \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)\right)\right) \cdot \left(263.3831869810514 + z \cdot 436.8961725563396\right)
\end{array}
Initial program 96.2%
Simplified97.9%
Taylor expanded in z around 0 97.9%
neg-mul-197.9%
Simplified97.9%
Taylor expanded in z around 0 97.3%
*-commutative97.3%
Simplified97.3%
Taylor expanded in z around 0 96.9%
*-commutative96.9%
Simplified96.9%
Final simplification96.9%
(FPCore (z)
:precision binary64
(*
(*
(/ PI (sin (* PI z)))
(*
(sqrt (* PI 2.0))
(* (pow (+ (- 1.0 z) 6.5) (+ (- 1.0 z) -0.5)) (exp (- (+ z -1.0) 6.5)))))
263.3831869810514))
double code(double z) {
return ((((double) M_PI) / sin((((double) M_PI) * z))) * (sqrt((((double) M_PI) * 2.0)) * (pow(((1.0 - z) + 6.5), ((1.0 - z) + -0.5)) * exp(((z + -1.0) - 6.5))))) * 263.3831869810514;
}
public static double code(double z) {
return ((Math.PI / Math.sin((Math.PI * z))) * (Math.sqrt((Math.PI * 2.0)) * (Math.pow(((1.0 - z) + 6.5), ((1.0 - z) + -0.5)) * Math.exp(((z + -1.0) - 6.5))))) * 263.3831869810514;
}
def code(z): return ((math.pi / math.sin((math.pi * z))) * (math.sqrt((math.pi * 2.0)) * (math.pow(((1.0 - z) + 6.5), ((1.0 - z) + -0.5)) * math.exp(((z + -1.0) - 6.5))))) * 263.3831869810514
function code(z) return Float64(Float64(Float64(pi / sin(Float64(pi * z))) * Float64(sqrt(Float64(pi * 2.0)) * Float64((Float64(Float64(1.0 - z) + 6.5) ^ Float64(Float64(1.0 - z) + -0.5)) * exp(Float64(Float64(z + -1.0) - 6.5))))) * 263.3831869810514) end
function tmp = code(z) tmp = ((pi / sin((pi * z))) * (sqrt((pi * 2.0)) * ((((1.0 - z) + 6.5) ^ ((1.0 - z) + -0.5)) * exp(((z + -1.0) - 6.5))))) * 263.3831869810514; end
code[z_] := N[(N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[Power[N[(N[(1.0 - z), $MachinePrecision] + 6.5), $MachinePrecision], N[(N[(1.0 - z), $MachinePrecision] + -0.5), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(N[(z + -1.0), $MachinePrecision] - 6.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 263.3831869810514), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\sqrt{\pi \cdot 2} \cdot \left({\left(\left(1 - z\right) + 6.5\right)}^{\left(\left(1 - z\right) + -0.5\right)} \cdot e^{\left(z + -1\right) - 6.5}\right)\right)\right) \cdot 263.3831869810514
\end{array}
Initial program 96.2%
Simplified96.6%
Taylor expanded in z around 0 95.9%
Taylor expanded in z around 0 96.8%
Taylor expanded in z around 0 96.2%
Final simplification96.2%
(FPCore (z) :precision binary64 (* (* (* (pow (- 7.5 z) (- 0.5 z)) (exp (+ z -7.5))) (sqrt (* PI 2.0))) (* (/ PI (sin (* PI z))) 263.3831869810514)))
double code(double z) {
return ((pow((7.5 - z), (0.5 - z)) * exp((z + -7.5))) * sqrt((((double) M_PI) * 2.0))) * ((((double) M_PI) / sin((((double) M_PI) * z))) * 263.3831869810514);
}
public static double code(double z) {
return ((Math.pow((7.5 - z), (0.5 - z)) * Math.exp((z + -7.5))) * Math.sqrt((Math.PI * 2.0))) * ((Math.PI / Math.sin((Math.PI * z))) * 263.3831869810514);
}
def code(z): return ((math.pow((7.5 - z), (0.5 - z)) * math.exp((z + -7.5))) * math.sqrt((math.pi * 2.0))) * ((math.pi / math.sin((math.pi * z))) * 263.3831869810514)
function code(z) return Float64(Float64(Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * exp(Float64(z + -7.5))) * sqrt(Float64(pi * 2.0))) * Float64(Float64(pi / sin(Float64(pi * z))) * 263.3831869810514)) end
function tmp = code(z) tmp = ((((7.5 - z) ^ (0.5 - z)) * exp((z + -7.5))) * sqrt((pi * 2.0))) * ((pi / sin((pi * z))) * 263.3831869810514); end
code[z_] := 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] * N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * 263.3831869810514), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot e^{z + -7.5}\right) \cdot \sqrt{\pi \cdot 2}\right) \cdot \left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot 263.3831869810514\right)
\end{array}
Initial program 96.2%
Simplified95.9%
Taylor expanded in z around 0 94.9%
Taylor expanded in z around 0 94.6%
Taylor expanded in z around 0 95.6%
Final simplification95.6%
(FPCore (z) :precision binary64 (* (* (sqrt (* PI 2.0)) (* (exp -7.5) (sqrt 7.5))) (* (/ PI (sin (* PI z))) 6.298471125885741)))
double code(double z) {
return (sqrt((((double) M_PI) * 2.0)) * (exp(-7.5) * sqrt(7.5))) * ((((double) M_PI) / sin((((double) M_PI) * z))) * 6.298471125885741);
}
public static double code(double z) {
return (Math.sqrt((Math.PI * 2.0)) * (Math.exp(-7.5) * Math.sqrt(7.5))) * ((Math.PI / Math.sin((Math.PI * z))) * 6.298471125885741);
}
def code(z): return (math.sqrt((math.pi * 2.0)) * (math.exp(-7.5) * math.sqrt(7.5))) * ((math.pi / math.sin((math.pi * z))) * 6.298471125885741)
function code(z) return Float64(Float64(sqrt(Float64(pi * 2.0)) * Float64(exp(-7.5) * sqrt(7.5))) * Float64(Float64(pi / sin(Float64(pi * z))) * 6.298471125885741)) end
function tmp = code(z) tmp = (sqrt((pi * 2.0)) * (exp(-7.5) * sqrt(7.5))) * ((pi / sin((pi * z))) * 6.298471125885741); end
code[z_] := N[(N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[Exp[-7.5], $MachinePrecision] * N[Sqrt[7.5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * 6.298471125885741), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\sqrt{\pi \cdot 2} \cdot \left(e^{-7.5} \cdot \sqrt{7.5}\right)\right) \cdot \left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot 6.298471125885741\right)
\end{array}
Initial program 96.2%
Simplified95.9%
Taylor expanded in z around 0 94.9%
Taylor expanded in z around 0 94.6%
Taylor expanded in z around inf 14.8%
Taylor expanded in z around 0 14.8%
Final simplification14.8%
(FPCore (z) :precision binary64 (* 6.298471125885741 (* (* (exp -7.5) (* (sqrt 7.5) (sqrt 2.0))) (/ (sqrt PI) z))))
double code(double z) {
return 6.298471125885741 * ((exp(-7.5) * (sqrt(7.5) * sqrt(2.0))) * (sqrt(((double) M_PI)) / z));
}
public static double code(double z) {
return 6.298471125885741 * ((Math.exp(-7.5) * (Math.sqrt(7.5) * Math.sqrt(2.0))) * (Math.sqrt(Math.PI) / z));
}
def code(z): return 6.298471125885741 * ((math.exp(-7.5) * (math.sqrt(7.5) * math.sqrt(2.0))) * (math.sqrt(math.pi) / z))
function code(z) return Float64(6.298471125885741 * Float64(Float64(exp(-7.5) * Float64(sqrt(7.5) * sqrt(2.0))) * Float64(sqrt(pi) / z))) end
function tmp = code(z) tmp = 6.298471125885741 * ((exp(-7.5) * (sqrt(7.5) * sqrt(2.0))) * (sqrt(pi) / z)); end
code[z_] := N[(6.298471125885741 * N[(N[(N[Exp[-7.5], $MachinePrecision] * N[(N[Sqrt[7.5], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[Pi], $MachinePrecision] / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
6.298471125885741 \cdot \left(\left(e^{-7.5} \cdot \left(\sqrt{7.5} \cdot \sqrt{2}\right)\right) \cdot \frac{\sqrt{\pi}}{z}\right)
\end{array}
Initial program 96.2%
Simplified95.9%
Taylor expanded in z around 0 94.9%
Taylor expanded in z around 0 94.6%
Taylor expanded in z around inf 14.8%
Taylor expanded in z around 0 14.7%
associate-*l/14.7%
associate-/l*14.7%
Simplified14.7%
Final simplification14.7%
(FPCore (z) :precision binary64 (* 6.298471125885741 (* (* (exp -7.5) (sqrt PI)) (* (sqrt 7.5) (/ (sqrt 2.0) z)))))
double code(double z) {
return 6.298471125885741 * ((exp(-7.5) * sqrt(((double) M_PI))) * (sqrt(7.5) * (sqrt(2.0) / z)));
}
public static double code(double z) {
return 6.298471125885741 * ((Math.exp(-7.5) * Math.sqrt(Math.PI)) * (Math.sqrt(7.5) * (Math.sqrt(2.0) / z)));
}
def code(z): return 6.298471125885741 * ((math.exp(-7.5) * math.sqrt(math.pi)) * (math.sqrt(7.5) * (math.sqrt(2.0) / z)))
function code(z) return Float64(6.298471125885741 * Float64(Float64(exp(-7.5) * sqrt(pi)) * Float64(sqrt(7.5) * Float64(sqrt(2.0) / z)))) end
function tmp = code(z) tmp = 6.298471125885741 * ((exp(-7.5) * sqrt(pi)) * (sqrt(7.5) * (sqrt(2.0) / z))); end
code[z_] := N[(6.298471125885741 * N[(N[(N[Exp[-7.5], $MachinePrecision] * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[7.5], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
6.298471125885741 \cdot \left(\left(e^{-7.5} \cdot \sqrt{\pi}\right) \cdot \left(\sqrt{7.5} \cdot \frac{\sqrt{2}}{z}\right)\right)
\end{array}
Initial program 96.2%
Simplified95.9%
Taylor expanded in z around 0 94.9%
Taylor expanded in z around 0 94.6%
Taylor expanded in z around inf 14.8%
Taylor expanded in z around 0 14.7%
*-commutative14.7%
associate-/l*14.8%
associate-*r*14.8%
*-commutative14.8%
associate-/l*14.8%
Simplified14.8%
Final simplification14.8%
(FPCore (z) :precision binary64 (* (* (* (pow (- 7.5 z) (- 0.5 z)) (exp (+ z -7.5))) (sqrt (* PI 2.0))) (/ 6.298471125885741 z)))
double code(double z) {
return ((pow((7.5 - z), (0.5 - z)) * exp((z + -7.5))) * sqrt((((double) M_PI) * 2.0))) * (6.298471125885741 / z);
}
public static double code(double z) {
return ((Math.pow((7.5 - z), (0.5 - z)) * Math.exp((z + -7.5))) * Math.sqrt((Math.PI * 2.0))) * (6.298471125885741 / z);
}
def code(z): return ((math.pow((7.5 - z), (0.5 - z)) * math.exp((z + -7.5))) * math.sqrt((math.pi * 2.0))) * (6.298471125885741 / z)
function code(z) return Float64(Float64(Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * exp(Float64(z + -7.5))) * sqrt(Float64(pi * 2.0))) * Float64(6.298471125885741 / z)) end
function tmp = code(z) tmp = ((((7.5 - z) ^ (0.5 - z)) * exp((z + -7.5))) * sqrt((pi * 2.0))) * (6.298471125885741 / z); end
code[z_] := 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] * N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(6.298471125885741 / z), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot e^{z + -7.5}\right) \cdot \sqrt{\pi \cdot 2}\right) \cdot \frac{6.298471125885741}{z}
\end{array}
Initial program 96.2%
Simplified95.9%
Taylor expanded in z around 0 94.9%
Taylor expanded in z around 0 94.6%
Taylor expanded in z around inf 14.8%
Taylor expanded in z around 0 14.7%
Final simplification14.7%
herbie shell --seed 2024062
(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))))))