
(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 9 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
(+
(/ -0.13857109526572012 (- 6.0 z))
(+
(/ -176.6150291621406 (- 4.0 z))
(/ 12.507343278686905 (- 5.0 z)))))
(t_1 (sqrt (* PI 2.0)))
(t_2
(+
(/ 9.984369578019572e-6 (- 7.0 z))
(/ 1.5056327351493116e-7 (- 8.0 z))))
(t_3 (+ 0.9999999999998099 (/ 771.3234287776531 (- 3.0 z))))
(t_4 (/ PI (sin (* z PI))))
(t_5 (/ 676.5203681218851 (- 1.0 z))))
(if (<= z -5e-15)
(*
(* t_1 (exp (+ (* (- 0.5 z) (log (- 7.5 z))) (+ z -7.5))))
(*
t_4
(+ (+ t_2 (+ (+ t_5 (/ -1259.1392167224028 (- 2.0 z))) t_3)) t_0)))
(if (<= z 8e-16)
(* (* t_1 (exp (+ -7.5 (log (sqrt 7.5))))) (/ 263.3831869810514 z))
(*
(* t_1 (* (pow (- 7.5 z) (- 0.5 z)) (exp (+ z -7.5))))
(*
t_4
(+
t_0
(+
t_2
(+
t_3
(/
(+
(/ (/ 457679.80848377093 (- 1.0 z)) (- 1.0 z))
(/ (/ 1585431.567088306 (- 2.0 z)) (- z 2.0)))
(+ t_5 (/ 1259.1392167224028 (- 2.0 z)))))))))))))
double code(double z) {
double t_0 = (-0.13857109526572012 / (6.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z)));
double t_1 = sqrt((((double) M_PI) * 2.0));
double t_2 = (9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z));
double t_3 = 0.9999999999998099 + (771.3234287776531 / (3.0 - z));
double t_4 = ((double) M_PI) / sin((z * ((double) M_PI)));
double t_5 = 676.5203681218851 / (1.0 - z);
double tmp;
if (z <= -5e-15) {
tmp = (t_1 * exp((((0.5 - z) * log((7.5 - z))) + (z + -7.5)))) * (t_4 * ((t_2 + ((t_5 + (-1259.1392167224028 / (2.0 - z))) + t_3)) + t_0));
} else if (z <= 8e-16) {
tmp = (t_1 * exp((-7.5 + log(sqrt(7.5))))) * (263.3831869810514 / z);
} else {
tmp = (t_1 * (pow((7.5 - z), (0.5 - z)) * exp((z + -7.5)))) * (t_4 * (t_0 + (t_2 + (t_3 + ((((457679.80848377093 / (1.0 - z)) / (1.0 - z)) + ((1585431.567088306 / (2.0 - z)) / (z - 2.0))) / (t_5 + (1259.1392167224028 / (2.0 - z))))))));
}
return tmp;
}
public static double code(double z) {
double t_0 = (-0.13857109526572012 / (6.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z)));
double t_1 = Math.sqrt((Math.PI * 2.0));
double t_2 = (9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z));
double t_3 = 0.9999999999998099 + (771.3234287776531 / (3.0 - z));
double t_4 = Math.PI / Math.sin((z * Math.PI));
double t_5 = 676.5203681218851 / (1.0 - z);
double tmp;
if (z <= -5e-15) {
tmp = (t_1 * Math.exp((((0.5 - z) * Math.log((7.5 - z))) + (z + -7.5)))) * (t_4 * ((t_2 + ((t_5 + (-1259.1392167224028 / (2.0 - z))) + t_3)) + t_0));
} else if (z <= 8e-16) {
tmp = (t_1 * Math.exp((-7.5 + Math.log(Math.sqrt(7.5))))) * (263.3831869810514 / z);
} else {
tmp = (t_1 * (Math.pow((7.5 - z), (0.5 - z)) * Math.exp((z + -7.5)))) * (t_4 * (t_0 + (t_2 + (t_3 + ((((457679.80848377093 / (1.0 - z)) / (1.0 - z)) + ((1585431.567088306 / (2.0 - z)) / (z - 2.0))) / (t_5 + (1259.1392167224028 / (2.0 - z))))))));
}
return tmp;
}
def code(z): t_0 = (-0.13857109526572012 / (6.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z))) t_1 = math.sqrt((math.pi * 2.0)) t_2 = (9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z)) t_3 = 0.9999999999998099 + (771.3234287776531 / (3.0 - z)) t_4 = math.pi / math.sin((z * math.pi)) t_5 = 676.5203681218851 / (1.0 - z) tmp = 0 if z <= -5e-15: tmp = (t_1 * math.exp((((0.5 - z) * math.log((7.5 - z))) + (z + -7.5)))) * (t_4 * ((t_2 + ((t_5 + (-1259.1392167224028 / (2.0 - z))) + t_3)) + t_0)) elif z <= 8e-16: tmp = (t_1 * math.exp((-7.5 + math.log(math.sqrt(7.5))))) * (263.3831869810514 / z) else: tmp = (t_1 * (math.pow((7.5 - z), (0.5 - z)) * math.exp((z + -7.5)))) * (t_4 * (t_0 + (t_2 + (t_3 + ((((457679.80848377093 / (1.0 - z)) / (1.0 - z)) + ((1585431.567088306 / (2.0 - z)) / (z - 2.0))) / (t_5 + (1259.1392167224028 / (2.0 - z)))))))) return tmp
function code(z) t_0 = Float64(Float64(-0.13857109526572012 / Float64(6.0 - z)) + Float64(Float64(-176.6150291621406 / Float64(4.0 - z)) + Float64(12.507343278686905 / Float64(5.0 - z)))) t_1 = sqrt(Float64(pi * 2.0)) t_2 = Float64(Float64(9.984369578019572e-6 / Float64(7.0 - z)) + Float64(1.5056327351493116e-7 / Float64(8.0 - z))) t_3 = Float64(0.9999999999998099 + Float64(771.3234287776531 / Float64(3.0 - z))) t_4 = Float64(pi / sin(Float64(z * pi))) t_5 = Float64(676.5203681218851 / Float64(1.0 - z)) tmp = 0.0 if (z <= -5e-15) tmp = Float64(Float64(t_1 * exp(Float64(Float64(Float64(0.5 - z) * log(Float64(7.5 - z))) + Float64(z + -7.5)))) * Float64(t_4 * Float64(Float64(t_2 + Float64(Float64(t_5 + Float64(-1259.1392167224028 / Float64(2.0 - z))) + t_3)) + t_0))); elseif (z <= 8e-16) tmp = Float64(Float64(t_1 * exp(Float64(-7.5 + log(sqrt(7.5))))) * Float64(263.3831869810514 / z)); else tmp = Float64(Float64(t_1 * Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * exp(Float64(z + -7.5)))) * Float64(t_4 * Float64(t_0 + Float64(t_2 + Float64(t_3 + Float64(Float64(Float64(Float64(457679.80848377093 / Float64(1.0 - z)) / Float64(1.0 - z)) + Float64(Float64(1585431.567088306 / Float64(2.0 - z)) / Float64(z - 2.0))) / Float64(t_5 + Float64(1259.1392167224028 / Float64(2.0 - z))))))))); end return tmp end
function tmp_2 = code(z) t_0 = (-0.13857109526572012 / (6.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z))); t_1 = sqrt((pi * 2.0)); t_2 = (9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z)); t_3 = 0.9999999999998099 + (771.3234287776531 / (3.0 - z)); t_4 = pi / sin((z * pi)); t_5 = 676.5203681218851 / (1.0 - z); tmp = 0.0; if (z <= -5e-15) tmp = (t_1 * exp((((0.5 - z) * log((7.5 - z))) + (z + -7.5)))) * (t_4 * ((t_2 + ((t_5 + (-1259.1392167224028 / (2.0 - z))) + t_3)) + t_0)); elseif (z <= 8e-16) tmp = (t_1 * exp((-7.5 + log(sqrt(7.5))))) * (263.3831869810514 / z); else tmp = (t_1 * (((7.5 - z) ^ (0.5 - z)) * exp((z + -7.5)))) * (t_4 * (t_0 + (t_2 + (t_3 + ((((457679.80848377093 / (1.0 - z)) / (1.0 - z)) + ((1585431.567088306 / (2.0 - z)) / (z - 2.0))) / (t_5 + (1259.1392167224028 / (2.0 - z)))))))); end tmp_2 = tmp; end
code[z_] := Block[{t$95$0 = 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]}, Block[{t$95$1 = N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[(9.984369578019572e-6 / N[(7.0 - z), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(8.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(0.9999999999998099 + N[(771.3234287776531 / N[(3.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(Pi / N[Sin[N[(z * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[z, -5e-15], N[(N[(t$95$1 * N[Exp[N[(N[(N[(0.5 - z), $MachinePrecision] * N[Log[N[(7.5 - z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[(z + -7.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(t$95$4 * N[(N[(t$95$2 + N[(N[(t$95$5 + N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision] + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[z, 8e-16], N[(N[(t$95$1 * N[Exp[N[(-7.5 + N[Log[N[Sqrt[7.5], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(263.3831869810514 / z), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$1 * N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(t$95$4 * N[(t$95$0 + N[(t$95$2 + N[(t$95$3 + N[(N[(N[(N[(457679.80848377093 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(1585431.567088306 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision] / N[(z - 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(t$95$5 + N[(1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{-0.13857109526572012}{6 - z} + \left(\frac{-176.6150291621406}{4 - z} + \frac{12.507343278686905}{5 - z}\right)\\
t_1 := \sqrt{\pi \cdot 2}\\
t_2 := \frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \frac{1.5056327351493116 \cdot 10^{-7}}{8 - z}\\
t_3 := 0.9999999999998099 + \frac{771.3234287776531}{3 - z}\\
t_4 := \frac{\pi}{\sin \left(z \cdot \pi\right)}\\
t_5 := \frac{676.5203681218851}{1 - z}\\
\mathbf{if}\;z \leq -5 \cdot 10^{-15}:\\
\;\;\;\;\left(t\_1 \cdot e^{\left(0.5 - z\right) \cdot \log \left(7.5 - z\right) + \left(z + -7.5\right)}\right) \cdot \left(t\_4 \cdot \left(\left(t\_2 + \left(\left(t\_5 + \frac{-1259.1392167224028}{2 - z}\right) + t\_3\right)\right) + t\_0\right)\right)\\
\mathbf{elif}\;z \leq 8 \cdot 10^{-16}:\\
\;\;\;\;\left(t\_1 \cdot e^{-7.5 + \log \left(\sqrt{7.5}\right)}\right) \cdot \frac{263.3831869810514}{z}\\
\mathbf{else}:\\
\;\;\;\;\left(t\_1 \cdot \left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot e^{z + -7.5}\right)\right) \cdot \left(t\_4 \cdot \left(t\_0 + \left(t\_2 + \left(t\_3 + \frac{\frac{\frac{457679.80848377093}{1 - z}}{1 - z} + \frac{\frac{1585431.567088306}{2 - z}}{z - 2}}{t\_5 + \frac{1259.1392167224028}{2 - z}}\right)\right)\right)\right)\\
\end{array}
\end{array}
if z < -4.99999999999999999e-15Initial program 54.4%
Simplified54.6%
Taylor expanded in z around inf 54.6%
exp-to-pow54.6%
sub-neg54.6%
metadata-eval54.6%
+-commutative54.6%
Simplified54.6%
add-exp-log54.3%
*-commutative54.3%
+-commutative54.3%
sub-neg54.3%
+-commutative54.3%
log-prod54.3%
add-log-exp98.8%
log-pow98.8%
+-commutative98.8%
sub-neg98.8%
Applied egg-rr98.8%
if -4.99999999999999999e-15 < z < 7.9999999999999998e-16Initial program 97.4%
Simplified97.3%
Taylor expanded in z around 0 98.4%
Taylor expanded in z around 0 98.4%
Taylor expanded in z around 0 98.4%
*-commutative98.4%
add-exp-log98.4%
prod-exp99.3%
Applied egg-rr99.3%
if 7.9999999999999998e-16 < z Initial program 97.4%
Simplified97.9%
Taylor expanded in z around inf 97.7%
exp-to-pow97.9%
sub-neg97.9%
metadata-eval97.9%
+-commutative97.9%
Simplified97.9%
flip-+98.1%
Applied egg-rr98.1%
associate-*l/98.6%
associate-*r/98.6%
metadata-eval98.6%
associate-*l/98.6%
associate-*r/98.7%
metadata-eval98.7%
sub-neg98.7%
distribute-neg-frac98.7%
metadata-eval98.7%
Simplified98.7%
Final simplification99.2%
(FPCore (z)
:precision binary64
(let* ((t_0
(+ (/ 676.5203681218851 (- 1.0 z)) (/ -1259.1392167224028 (- 2.0 z))))
(t_1 (/ PI (sin (* z PI))))
(t_2 (sqrt (* PI 2.0))))
(if (<= z -0.08)
(*
(* t_2 (exp (+ (* (- 0.5 z) (log (- 7.5 z))) (+ z -7.5))))
(*
t_1
(+
(+
(+
(/ 9.984369578019572e-6 (- 7.0 z))
(/ 1.5056327351493116e-7 (- 8.0 z)))
(+ t_0 (+ 0.9999999999998099 (/ 771.3234287776531 (- 3.0 z)))))
(+
(/ -0.13857109526572012 (- 6.0 z))
(+
(/ -176.6150291621406 (- 4.0 z))
(/ 12.507343278686905 (- 5.0 z)))))))
(*
(*
t_1
(*
t_2
(*
(pow (- 7.5 z) (- (- 1.0 z) 0.5))
(exp (+ (+ -6.0 (+ z -1.0)) -0.5)))))
(+
(+
(+
(+ t_0 0.9999999999998099)
(+
(/ 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 (- (- 1.0 z) -7.0))))))))
double code(double z) {
double t_0 = (676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z));
double t_1 = ((double) M_PI) / sin((z * ((double) M_PI)));
double t_2 = sqrt((((double) M_PI) * 2.0));
double tmp;
if (z <= -0.08) {
tmp = (t_2 * exp((((0.5 - z) * log((7.5 - z))) + (z + -7.5)))) * (t_1 * ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + (t_0 + (0.9999999999998099 + (771.3234287776531 / (3.0 - z))))) + ((-0.13857109526572012 / (6.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z))))));
} else {
tmp = (t_1 * (t_2 * (pow((7.5 - z), ((1.0 - z) - 0.5)) * exp(((-6.0 + (z + -1.0)) + -0.5))))) * ((((t_0 + 0.9999999999998099) + ((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 / ((1.0 - z) - -7.0))));
}
return tmp;
}
public static double code(double z) {
double t_0 = (676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z));
double t_1 = Math.PI / Math.sin((z * Math.PI));
double t_2 = Math.sqrt((Math.PI * 2.0));
double tmp;
if (z <= -0.08) {
tmp = (t_2 * Math.exp((((0.5 - z) * Math.log((7.5 - z))) + (z + -7.5)))) * (t_1 * ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + (t_0 + (0.9999999999998099 + (771.3234287776531 / (3.0 - z))))) + ((-0.13857109526572012 / (6.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z))))));
} else {
tmp = (t_1 * (t_2 * (Math.pow((7.5 - z), ((1.0 - z) - 0.5)) * Math.exp(((-6.0 + (z + -1.0)) + -0.5))))) * ((((t_0 + 0.9999999999998099) + ((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 / ((1.0 - z) - -7.0))));
}
return tmp;
}
def code(z): t_0 = (676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z)) t_1 = math.pi / math.sin((z * math.pi)) t_2 = math.sqrt((math.pi * 2.0)) tmp = 0 if z <= -0.08: tmp = (t_2 * math.exp((((0.5 - z) * math.log((7.5 - z))) + (z + -7.5)))) * (t_1 * ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + (t_0 + (0.9999999999998099 + (771.3234287776531 / (3.0 - z))))) + ((-0.13857109526572012 / (6.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z)))))) else: tmp = (t_1 * (t_2 * (math.pow((7.5 - z), ((1.0 - z) - 0.5)) * math.exp(((-6.0 + (z + -1.0)) + -0.5))))) * ((((t_0 + 0.9999999999998099) + ((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 / ((1.0 - z) - -7.0)))) return tmp
function code(z) t_0 = Float64(Float64(676.5203681218851 / Float64(1.0 - z)) + Float64(-1259.1392167224028 / Float64(2.0 - z))) t_1 = Float64(pi / sin(Float64(z * pi))) t_2 = sqrt(Float64(pi * 2.0)) tmp = 0.0 if (z <= -0.08) tmp = Float64(Float64(t_2 * exp(Float64(Float64(Float64(0.5 - z) * log(Float64(7.5 - z))) + Float64(z + -7.5)))) * Float64(t_1 * Float64(Float64(Float64(Float64(9.984369578019572e-6 / Float64(7.0 - z)) + Float64(1.5056327351493116e-7 / Float64(8.0 - z))) + Float64(t_0 + Float64(0.9999999999998099 + Float64(771.3234287776531 / Float64(3.0 - 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_1 * Float64(t_2 * Float64((Float64(7.5 - z) ^ Float64(Float64(1.0 - z) - 0.5)) * exp(Float64(Float64(-6.0 + Float64(z + -1.0)) + -0.5))))) * Float64(Float64(Float64(Float64(t_0 + 0.9999999999998099) + 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(Float64(1.0 - z) - -7.0))))); end return tmp end
function tmp_2 = code(z) t_0 = (676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z)); t_1 = pi / sin((z * pi)); t_2 = sqrt((pi * 2.0)); tmp = 0.0; if (z <= -0.08) tmp = (t_2 * exp((((0.5 - z) * log((7.5 - z))) + (z + -7.5)))) * (t_1 * ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + (t_0 + (0.9999999999998099 + (771.3234287776531 / (3.0 - z))))) + ((-0.13857109526572012 / (6.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z)))))); else tmp = (t_1 * (t_2 * (((7.5 - z) ^ ((1.0 - z) - 0.5)) * exp(((-6.0 + (z + -1.0)) + -0.5))))) * ((((t_0 + 0.9999999999998099) + ((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 / ((1.0 - z) - -7.0)))); end tmp_2 = tmp; end
code[z_] := Block[{t$95$0 = N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(Pi / N[Sin[N[(z * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[z, -0.08], N[(N[(t$95$2 * N[Exp[N[(N[(N[(0.5 - z), $MachinePrecision] * N[Log[N[(7.5 - z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[(z + -7.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(t$95$1 * 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[(t$95$0 + N[(0.9999999999998099 + N[(771.3234287776531 / N[(3.0 - z), $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$1 * N[(t$95$2 * N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(N[(1.0 - z), $MachinePrecision] - 0.5), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(N[(-6.0 + N[(z + -1.0), $MachinePrecision]), $MachinePrecision] + -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(t$95$0 + 0.9999999999998099), $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[(N[(1.0 - z), $MachinePrecision] - -7.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{676.5203681218851}{1 - z} + \frac{-1259.1392167224028}{2 - z}\\
t_1 := \frac{\pi}{\sin \left(z \cdot \pi\right)}\\
t_2 := \sqrt{\pi \cdot 2}\\
\mathbf{if}\;z \leq -0.08:\\
\;\;\;\;\left(t\_2 \cdot e^{\left(0.5 - z\right) \cdot \log \left(7.5 - z\right) + \left(z + -7.5\right)}\right) \cdot \left(t\_1 \cdot \left(\left(\left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \frac{1.5056327351493116 \cdot 10^{-7}}{8 - z}\right) + \left(t\_0 + \left(0.9999999999998099 + \frac{771.3234287776531}{3 - z}\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\_1 \cdot \left(t\_2 \cdot \left({\left(7.5 - z\right)}^{\left(\left(1 - z\right) - 0.5\right)} \cdot e^{\left(-6 + \left(z + -1\right)\right) + -0.5}\right)\right)\right) \cdot \left(\left(\left(\left(t\_0 + 0.9999999999998099\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}}{\left(1 - z\right) - -7}\right)\right)\\
\end{array}
\end{array}
if z < -0.0800000000000000017Initial program 19.3%
Simplified20.0%
Taylor expanded in z around inf 20.0%
exp-to-pow20.0%
sub-neg20.0%
metadata-eval20.0%
+-commutative20.0%
Simplified20.0%
add-exp-log20.0%
*-commutative20.0%
+-commutative20.0%
sub-neg20.0%
+-commutative20.0%
log-prod20.0%
add-log-exp100.0%
log-pow100.0%
+-commutative100.0%
sub-neg100.0%
Applied egg-rr100.0%
if -0.0800000000000000017 < z Initial program 97.4%
Simplified98.9%
metadata-eval98.9%
associate-+l-98.9%
metadata-eval98.9%
associate-+l-98.9%
*-un-lft-identity98.9%
associate-+l+98.9%
div-inv98.9%
associate-+l-98.9%
metadata-eval98.9%
--rgt-identity98.9%
+-commutative98.9%
expm1-log1p-u98.9%
log1p-define98.9%
+-commutative98.9%
associate-+l-98.9%
metadata-eval98.9%
Applied egg-rr98.9%
*-lft-identity98.9%
Simplified98.9%
Taylor expanded in z around 0 98.9%
neg-mul-198.9%
Simplified98.9%
Final simplification99.0%
(FPCore (z)
:precision binary64
(let* ((t_0
(*
(/ PI (sin (* z PI)))
(+
(+
(+
(/ 9.984369578019572e-6 (- 7.0 z))
(/ 1.5056327351493116e-7 (- 8.0 z)))
(+
(+
(/ 676.5203681218851 (- 1.0 z))
(/ -1259.1392167224028 (- 2.0 z)))
(+ 0.9999999999998099 (/ 771.3234287776531 (- 3.0 z)))))
(+
(/ -0.13857109526572012 (- 6.0 z))
(+
(/ -176.6150291621406 (- 4.0 z))
(/ 12.507343278686905 (- 5.0 z)))))))
(t_1 (sqrt (* PI 2.0))))
(if (<= z -5e-15)
(* (* t_1 (exp (+ (* (- 0.5 z) (log (- 7.5 z))) (+ z -7.5)))) t_0)
(if (<= z 8e-16)
(* (* t_1 (exp (+ -7.5 (log (sqrt 7.5))))) (/ 263.3831869810514 z))
(* t_0 (* t_1 (* (pow (- 7.5 z) (- 0.5 z)) (exp (+ z -7.5)))))))))
double code(double z) {
double t_0 = (((double) M_PI) / sin((z * ((double) M_PI)))) * ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + (((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z))) + (0.9999999999998099 + (771.3234287776531 / (3.0 - z))))) + ((-0.13857109526572012 / (6.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z)))));
double t_1 = sqrt((((double) M_PI) * 2.0));
double tmp;
if (z <= -5e-15) {
tmp = (t_1 * exp((((0.5 - z) * log((7.5 - z))) + (z + -7.5)))) * t_0;
} else if (z <= 8e-16) {
tmp = (t_1 * exp((-7.5 + log(sqrt(7.5))))) * (263.3831869810514 / z);
} else {
tmp = t_0 * (t_1 * (pow((7.5 - z), (0.5 - z)) * exp((z + -7.5))));
}
return tmp;
}
public static double code(double z) {
double t_0 = (Math.PI / Math.sin((z * Math.PI))) * ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + (((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z))) + (0.9999999999998099 + (771.3234287776531 / (3.0 - z))))) + ((-0.13857109526572012 / (6.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z)))));
double t_1 = Math.sqrt((Math.PI * 2.0));
double tmp;
if (z <= -5e-15) {
tmp = (t_1 * Math.exp((((0.5 - z) * Math.log((7.5 - z))) + (z + -7.5)))) * t_0;
} else if (z <= 8e-16) {
tmp = (t_1 * Math.exp((-7.5 + Math.log(Math.sqrt(7.5))))) * (263.3831869810514 / z);
} else {
tmp = t_0 * (t_1 * (Math.pow((7.5 - z), (0.5 - z)) * Math.exp((z + -7.5))));
}
return tmp;
}
def code(z): t_0 = (math.pi / math.sin((z * math.pi))) * ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + (((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z))) + (0.9999999999998099 + (771.3234287776531 / (3.0 - z))))) + ((-0.13857109526572012 / (6.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z))))) t_1 = math.sqrt((math.pi * 2.0)) tmp = 0 if z <= -5e-15: tmp = (t_1 * math.exp((((0.5 - z) * math.log((7.5 - z))) + (z + -7.5)))) * t_0 elif z <= 8e-16: tmp = (t_1 * math.exp((-7.5 + math.log(math.sqrt(7.5))))) * (263.3831869810514 / z) else: tmp = t_0 * (t_1 * (math.pow((7.5 - z), (0.5 - z)) * math.exp((z + -7.5)))) return tmp
function code(z) t_0 = Float64(Float64(pi / sin(Float64(z * pi))) * Float64(Float64(Float64(Float64(9.984369578019572e-6 / Float64(7.0 - z)) + Float64(1.5056327351493116e-7 / Float64(8.0 - z))) + Float64(Float64(Float64(676.5203681218851 / Float64(1.0 - z)) + Float64(-1259.1392167224028 / Float64(2.0 - z))) + Float64(0.9999999999998099 + Float64(771.3234287776531 / Float64(3.0 - z))))) + Float64(Float64(-0.13857109526572012 / Float64(6.0 - z)) + Float64(Float64(-176.6150291621406 / Float64(4.0 - z)) + Float64(12.507343278686905 / Float64(5.0 - z)))))) t_1 = sqrt(Float64(pi * 2.0)) tmp = 0.0 if (z <= -5e-15) tmp = Float64(Float64(t_1 * exp(Float64(Float64(Float64(0.5 - z) * log(Float64(7.5 - z))) + Float64(z + -7.5)))) * t_0); elseif (z <= 8e-16) tmp = Float64(Float64(t_1 * exp(Float64(-7.5 + log(sqrt(7.5))))) * Float64(263.3831869810514 / z)); else tmp = Float64(t_0 * Float64(t_1 * Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * exp(Float64(z + -7.5))))); end return tmp end
function tmp_2 = code(z) t_0 = (pi / sin((z * pi))) * ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + (((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z))) + (0.9999999999998099 + (771.3234287776531 / (3.0 - z))))) + ((-0.13857109526572012 / (6.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z))))); t_1 = sqrt((pi * 2.0)); tmp = 0.0; if (z <= -5e-15) tmp = (t_1 * exp((((0.5 - z) * log((7.5 - z))) + (z + -7.5)))) * t_0; elseif (z <= 8e-16) tmp = (t_1 * exp((-7.5 + log(sqrt(7.5))))) * (263.3831869810514 / z); else tmp = t_0 * (t_1 * (((7.5 - z) ^ (0.5 - z)) * exp((z + -7.5)))); end tmp_2 = tmp; end
code[z_] := Block[{t$95$0 = N[(N[(Pi / N[Sin[N[(z * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(9.984369578019572e-6 / N[(7.0 - z), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(8.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.9999999999998099 + N[(771.3234287776531 / N[(3.0 - z), $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]}, Block[{t$95$1 = N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[z, -5e-15], N[(N[(t$95$1 * N[Exp[N[(N[(N[(0.5 - z), $MachinePrecision] * N[Log[N[(7.5 - z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[(z + -7.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision], If[LessEqual[z, 8e-16], N[(N[(t$95$1 * N[Exp[N[(-7.5 + N[Log[N[Sqrt[7.5], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(263.3831869810514 / z), $MachinePrecision]), $MachinePrecision], N[(t$95$0 * N[(t$95$1 * 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]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\pi}{\sin \left(z \cdot \pi\right)} \cdot \left(\left(\left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \frac{1.5056327351493116 \cdot 10^{-7}}{8 - z}\right) + \left(\left(\frac{676.5203681218851}{1 - z} + \frac{-1259.1392167224028}{2 - z}\right) + \left(0.9999999999998099 + \frac{771.3234287776531}{3 - z}\right)\right)\right) + \left(\frac{-0.13857109526572012}{6 - z} + \left(\frac{-176.6150291621406}{4 - z} + \frac{12.507343278686905}{5 - z}\right)\right)\right)\\
t_1 := \sqrt{\pi \cdot 2}\\
\mathbf{if}\;z \leq -5 \cdot 10^{-15}:\\
\;\;\;\;\left(t\_1 \cdot e^{\left(0.5 - z\right) \cdot \log \left(7.5 - z\right) + \left(z + -7.5\right)}\right) \cdot t\_0\\
\mathbf{elif}\;z \leq 8 \cdot 10^{-16}:\\
\;\;\;\;\left(t\_1 \cdot e^{-7.5 + \log \left(\sqrt{7.5}\right)}\right) \cdot \frac{263.3831869810514}{z}\\
\mathbf{else}:\\
\;\;\;\;t\_0 \cdot \left(t\_1 \cdot \left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot e^{z + -7.5}\right)\right)\\
\end{array}
\end{array}
if z < -4.99999999999999999e-15Initial program 54.4%
Simplified54.6%
Taylor expanded in z around inf 54.6%
exp-to-pow54.6%
sub-neg54.6%
metadata-eval54.6%
+-commutative54.6%
Simplified54.6%
add-exp-log54.3%
*-commutative54.3%
+-commutative54.3%
sub-neg54.3%
+-commutative54.3%
log-prod54.3%
add-log-exp98.8%
log-pow98.8%
+-commutative98.8%
sub-neg98.8%
Applied egg-rr98.8%
if -4.99999999999999999e-15 < z < 7.9999999999999998e-16Initial program 97.4%
Simplified97.3%
Taylor expanded in z around 0 98.4%
Taylor expanded in z around 0 98.4%
Taylor expanded in z around 0 98.4%
*-commutative98.4%
add-exp-log98.4%
prod-exp99.3%
Applied egg-rr99.3%
if 7.9999999999999998e-16 < z Initial program 97.4%
Simplified97.9%
Taylor expanded in z around inf 97.7%
exp-to-pow97.9%
sub-neg97.9%
metadata-eval97.9%
+-commutative97.9%
Simplified97.9%
Final simplification99.2%
(FPCore (z)
:precision binary64
(*
(* (sqrt (* PI 2.0)) (* (pow (- 7.5 z) (- 0.5 z)) (exp (+ z -7.5))))
(*
(/ PI (sin (* z PI)))
(+
0.9999999999998099
(+
(- (/ 771.3234287776531 (- 3.0 z)) (/ 676.5203681218851 (+ z -1.0)))
(+
(/ -1259.1392167224028 (- 2.0 z))
(+
(+ (/ -176.6150291621406 (- 4.0 z)) (/ 12.507343278686905 (- 5.0 z)))
(+
(/ 1.5056327351493116e-7 (- 8.0 z))
(+
(/ 9.984369578019572e-6 (- 7.0 z))
(/ -0.13857109526572012 (- 6.0 z)))))))))))
double code(double z) {
return (sqrt((((double) M_PI) * 2.0)) * (pow((7.5 - z), (0.5 - z)) * exp((z + -7.5)))) * ((((double) M_PI) / sin((z * ((double) M_PI)))) * (0.9999999999998099 + (((771.3234287776531 / (3.0 - z)) - (676.5203681218851 / (z + -1.0))) + ((-1259.1392167224028 / (2.0 - z)) + (((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z))) + ((1.5056327351493116e-7 / (8.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (-0.13857109526572012 / (6.0 - z)))))))));
}
public static double code(double z) {
return (Math.sqrt((Math.PI * 2.0)) * (Math.pow((7.5 - z), (0.5 - z)) * Math.exp((z + -7.5)))) * ((Math.PI / Math.sin((z * Math.PI))) * (0.9999999999998099 + (((771.3234287776531 / (3.0 - z)) - (676.5203681218851 / (z + -1.0))) + ((-1259.1392167224028 / (2.0 - z)) + (((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z))) + ((1.5056327351493116e-7 / (8.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (-0.13857109526572012 / (6.0 - z)))))))));
}
def code(z): return (math.sqrt((math.pi * 2.0)) * (math.pow((7.5 - z), (0.5 - z)) * math.exp((z + -7.5)))) * ((math.pi / math.sin((z * math.pi))) * (0.9999999999998099 + (((771.3234287776531 / (3.0 - z)) - (676.5203681218851 / (z + -1.0))) + ((-1259.1392167224028 / (2.0 - z)) + (((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z))) + ((1.5056327351493116e-7 / (8.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (-0.13857109526572012 / (6.0 - z)))))))))
function code(z) return Float64(Float64(sqrt(Float64(pi * 2.0)) * Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * exp(Float64(z + -7.5)))) * Float64(Float64(pi / sin(Float64(z * pi))) * Float64(0.9999999999998099 + Float64(Float64(Float64(771.3234287776531 / Float64(3.0 - z)) - Float64(676.5203681218851 / Float64(z + -1.0))) + Float64(Float64(-1259.1392167224028 / Float64(2.0 - z)) + Float64(Float64(Float64(-176.6150291621406 / Float64(4.0 - z)) + Float64(12.507343278686905 / Float64(5.0 - z))) + Float64(Float64(1.5056327351493116e-7 / Float64(8.0 - z)) + Float64(Float64(9.984369578019572e-6 / Float64(7.0 - z)) + Float64(-0.13857109526572012 / Float64(6.0 - z)))))))))) end
function tmp = code(z) tmp = (sqrt((pi * 2.0)) * (((7.5 - z) ^ (0.5 - z)) * exp((z + -7.5)))) * ((pi / sin((z * pi))) * (0.9999999999998099 + (((771.3234287776531 / (3.0 - z)) - (676.5203681218851 / (z + -1.0))) + ((-1259.1392167224028 / (2.0 - z)) + (((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z))) + ((1.5056327351493116e-7 / (8.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (-0.13857109526572012 / (6.0 - z))))))))); end
code[z_] := N[(N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(Pi / N[Sin[N[(z * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(0.9999999999998099 + N[(N[(N[(771.3234287776531 / N[(3.0 - z), $MachinePrecision]), $MachinePrecision] - N[(676.5203681218851 / N[(z + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(-176.6150291621406 / N[(4.0 - z), $MachinePrecision]), $MachinePrecision] + N[(12.507343278686905 / N[(5.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(1.5056327351493116e-7 / N[(8.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(9.984369578019572e-6 / N[(7.0 - z), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(6.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\sqrt{\pi \cdot 2} \cdot \left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot e^{z + -7.5}\right)\right) \cdot \left(\frac{\pi}{\sin \left(z \cdot \pi\right)} \cdot \left(0.9999999999998099 + \left(\left(\frac{771.3234287776531}{3 - z} - \frac{676.5203681218851}{z + -1}\right) + \left(\frac{-1259.1392167224028}{2 - z} + \left(\left(\frac{-176.6150291621406}{4 - z} + \frac{12.507343278686905}{5 - z}\right) + \left(\frac{1.5056327351493116 \cdot 10^{-7}}{8 - z} + \left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \frac{-0.13857109526572012}{6 - z}\right)\right)\right)\right)\right)\right)\right)
\end{array}
Initial program 95.8%
Simplified95.8%
Taylor expanded in z around inf 95.8%
exp-to-pow95.8%
sub-neg95.8%
metadata-eval95.8%
+-commutative95.8%
Simplified95.8%
*-un-lft-identity95.8%
associate-+l+95.8%
+-commutative95.8%
associate-+l+95.8%
Applied egg-rr95.8%
Simplified97.1%
Final simplification97.1%
(FPCore (z) :precision binary64 (* (pow (- 7.5 z) (- 0.5 z)) (/ (* 263.3831869810514 (* (+ z 1.0) (* (exp -7.5) (* (sqrt 2.0) (sqrt PI))))) z)))
double code(double z) {
return pow((7.5 - z), (0.5 - z)) * ((263.3831869810514 * ((z + 1.0) * (exp(-7.5) * (sqrt(2.0) * sqrt(((double) M_PI)))))) / z);
}
public static double code(double z) {
return Math.pow((7.5 - z), (0.5 - z)) * ((263.3831869810514 * ((z + 1.0) * (Math.exp(-7.5) * (Math.sqrt(2.0) * Math.sqrt(Math.PI))))) / z);
}
def code(z): return math.pow((7.5 - z), (0.5 - z)) * ((263.3831869810514 * ((z + 1.0) * (math.exp(-7.5) * (math.sqrt(2.0) * math.sqrt(math.pi))))) / z)
function code(z) return Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * Float64(Float64(263.3831869810514 * Float64(Float64(z + 1.0) * Float64(exp(-7.5) * Float64(sqrt(2.0) * sqrt(pi))))) / z)) end
function tmp = code(z) tmp = ((7.5 - z) ^ (0.5 - z)) * ((263.3831869810514 * ((z + 1.0) * (exp(-7.5) * (sqrt(2.0) * sqrt(pi))))) / z); end
code[z_] := N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[(N[(263.3831869810514 * N[(N[(z + 1.0), $MachinePrecision] * N[(N[Exp[-7.5], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / z), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
{\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot \frac{263.3831869810514 \cdot \left(\left(z + 1\right) \cdot \left(e^{-7.5} \cdot \left(\sqrt{2} \cdot \sqrt{\pi}\right)\right)\right)}{z}
\end{array}
Initial program 95.8%
Simplified95.8%
Taylor expanded in z around 0 95.0%
pow195.0%
*-commutative95.0%
*-commutative95.0%
+-commutative95.0%
sub-neg95.0%
Applied egg-rr95.0%
unpow195.0%
associate-*r*95.0%
*-commutative95.0%
associate-*r*95.0%
Simplified95.1%
Taylor expanded in z around 0 96.6%
distribute-lft-out96.6%
associate-*l*96.6%
*-commutative96.6%
distribute-rgt1-in96.6%
*-commutative96.6%
associate-*l*96.6%
Simplified96.6%
Final simplification96.6%
(FPCore (z) :precision binary64 (* (pow (- 7.5 z) (- 0.5 z)) (/ (* 263.3831869810514 (* (+ z 1.0) (* (sqrt (* PI 2.0)) (exp -7.5)))) z)))
double code(double z) {
return pow((7.5 - z), (0.5 - z)) * ((263.3831869810514 * ((z + 1.0) * (sqrt((((double) M_PI) * 2.0)) * exp(-7.5)))) / z);
}
public static double code(double z) {
return Math.pow((7.5 - z), (0.5 - z)) * ((263.3831869810514 * ((z + 1.0) * (Math.sqrt((Math.PI * 2.0)) * Math.exp(-7.5)))) / z);
}
def code(z): return math.pow((7.5 - z), (0.5 - z)) * ((263.3831869810514 * ((z + 1.0) * (math.sqrt((math.pi * 2.0)) * math.exp(-7.5)))) / z)
function code(z) return Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * Float64(Float64(263.3831869810514 * Float64(Float64(z + 1.0) * Float64(sqrt(Float64(pi * 2.0)) * exp(-7.5)))) / z)) end
function tmp = code(z) tmp = ((7.5 - z) ^ (0.5 - z)) * ((263.3831869810514 * ((z + 1.0) * (sqrt((pi * 2.0)) * exp(-7.5)))) / z); end
code[z_] := N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[(N[(263.3831869810514 * N[(N[(z + 1.0), $MachinePrecision] * N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[Exp[-7.5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / z), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
{\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot \frac{263.3831869810514 \cdot \left(\left(z + 1\right) \cdot \left(\sqrt{\pi \cdot 2} \cdot e^{-7.5}\right)\right)}{z}
\end{array}
Initial program 95.8%
Simplified95.8%
Taylor expanded in z around 0 95.0%
pow195.0%
*-commutative95.0%
*-commutative95.0%
+-commutative95.0%
sub-neg95.0%
Applied egg-rr95.0%
unpow195.0%
associate-*r*95.0%
*-commutative95.0%
associate-*r*95.0%
Simplified95.1%
Taylor expanded in z around 0 96.6%
distribute-lft-out96.6%
associate-*l*96.6%
*-commutative96.6%
distribute-rgt1-in96.6%
*-commutative96.6%
associate-*l*96.6%
Simplified96.6%
pow196.6%
*-commutative96.6%
sqrt-prod96.6%
Applied egg-rr96.6%
unpow196.6%
*-commutative96.6%
Simplified96.6%
Final simplification96.6%
(FPCore (z) :precision binary64 (* (exp -7.5) (* (* 263.3831869810514 (sqrt PI)) (/ (sqrt 15.0) z))))
double code(double z) {
return exp(-7.5) * ((263.3831869810514 * sqrt(((double) M_PI))) * (sqrt(15.0) / z));
}
public static double code(double z) {
return Math.exp(-7.5) * ((263.3831869810514 * Math.sqrt(Math.PI)) * (Math.sqrt(15.0) / z));
}
def code(z): return math.exp(-7.5) * ((263.3831869810514 * math.sqrt(math.pi)) * (math.sqrt(15.0) / z))
function code(z) return Float64(exp(-7.5) * Float64(Float64(263.3831869810514 * sqrt(pi)) * Float64(sqrt(15.0) / z))) end
function tmp = code(z) tmp = exp(-7.5) * ((263.3831869810514 * sqrt(pi)) * (sqrt(15.0) / z)); end
code[z_] := N[(N[Exp[-7.5], $MachinePrecision] * N[(N[(263.3831869810514 * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[15.0], $MachinePrecision] / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
e^{-7.5} \cdot \left(\left(263.3831869810514 \cdot \sqrt{\pi}\right) \cdot \frac{\sqrt{15}}{z}\right)
\end{array}
Initial program 95.8%
Simplified95.8%
Taylor expanded in z around 0 95.0%
Taylor expanded in z around 0 95.0%
Taylor expanded in z around 0 95.7%
*-commutative95.7%
associate-*l*95.8%
associate-/l*95.7%
*-commutative95.7%
Simplified95.7%
pow195.7%
associate-*l*95.6%
sqrt-unprod95.6%
metadata-eval95.6%
*-commutative95.6%
Applied egg-rr95.6%
unpow195.6%
Simplified95.6%
Final simplification95.6%
(FPCore (z) :precision binary64 (* (* 263.3831869810514 (sqrt PI)) (* (exp -7.5) (/ (sqrt 15.0) z))))
double code(double z) {
return (263.3831869810514 * sqrt(((double) M_PI))) * (exp(-7.5) * (sqrt(15.0) / z));
}
public static double code(double z) {
return (263.3831869810514 * Math.sqrt(Math.PI)) * (Math.exp(-7.5) * (Math.sqrt(15.0) / z));
}
def code(z): return (263.3831869810514 * math.sqrt(math.pi)) * (math.exp(-7.5) * (math.sqrt(15.0) / z))
function code(z) return Float64(Float64(263.3831869810514 * sqrt(pi)) * Float64(exp(-7.5) * Float64(sqrt(15.0) / z))) end
function tmp = code(z) tmp = (263.3831869810514 * sqrt(pi)) * (exp(-7.5) * (sqrt(15.0) / z)); end
code[z_] := N[(N[(263.3831869810514 * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[Exp[-7.5], $MachinePrecision] * N[(N[Sqrt[15.0], $MachinePrecision] / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(263.3831869810514 \cdot \sqrt{\pi}\right) \cdot \left(e^{-7.5} \cdot \frac{\sqrt{15}}{z}\right)
\end{array}
Initial program 95.8%
Simplified95.8%
Taylor expanded in z around 0 95.0%
Taylor expanded in z around 0 95.0%
Taylor expanded in z around 0 95.7%
*-commutative95.7%
associate-*l*95.8%
associate-/l*95.7%
*-commutative95.7%
Simplified95.7%
associate-*r/95.8%
sqrt-unprod95.8%
metadata-eval95.8%
Applied egg-rr95.8%
associate-*r/95.7%
Simplified95.7%
Final simplification95.7%
(FPCore (z) :precision binary64 (* (/ (* (exp -7.5) (sqrt 15.0)) z) (* 263.3831869810514 (sqrt PI))))
double code(double z) {
return ((exp(-7.5) * sqrt(15.0)) / z) * (263.3831869810514 * sqrt(((double) M_PI)));
}
public static double code(double z) {
return ((Math.exp(-7.5) * Math.sqrt(15.0)) / z) * (263.3831869810514 * Math.sqrt(Math.PI));
}
def code(z): return ((math.exp(-7.5) * math.sqrt(15.0)) / z) * (263.3831869810514 * math.sqrt(math.pi))
function code(z) return Float64(Float64(Float64(exp(-7.5) * sqrt(15.0)) / z) * Float64(263.3831869810514 * sqrt(pi))) end
function tmp = code(z) tmp = ((exp(-7.5) * sqrt(15.0)) / z) * (263.3831869810514 * sqrt(pi)); end
code[z_] := N[(N[(N[(N[Exp[-7.5], $MachinePrecision] * N[Sqrt[15.0], $MachinePrecision]), $MachinePrecision] / z), $MachinePrecision] * N[(263.3831869810514 * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{e^{-7.5} \cdot \sqrt{15}}{z} \cdot \left(263.3831869810514 \cdot \sqrt{\pi}\right)
\end{array}
Initial program 95.8%
Simplified95.8%
Taylor expanded in z around 0 95.0%
Taylor expanded in z around 0 95.0%
Taylor expanded in z around 0 95.7%
*-commutative95.7%
associate-*l*95.8%
associate-/l*95.7%
*-commutative95.7%
Simplified95.7%
associate-*r/95.8%
sqrt-unprod95.8%
metadata-eval95.8%
Applied egg-rr95.8%
Final simplification95.8%
herbie shell --seed 2024081
(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))))))