
(FPCore (z)
:precision binary64
(let* ((t_0 (- (- 1.0 z) 1.0)) (t_1 (+ t_0 7.0)) (t_2 (+ t_1 0.5)))
(*
(/ PI (sin (* PI z)))
(*
(* (* (sqrt (* PI 2.0)) (pow t_2 (+ t_0 0.5))) (exp (- t_2)))
(+
(+
(+
(+
(+
(+
(+
(+ 0.9999999999998099 (/ 676.5203681218851 (+ t_0 1.0)))
(/ -1259.1392167224028 (+ t_0 2.0)))
(/ 771.3234287776531 (+ t_0 3.0)))
(/ -176.6150291621406 (+ t_0 4.0)))
(/ 12.507343278686905 (+ t_0 5.0)))
(/ -0.13857109526572012 (+ t_0 6.0)))
(/ 9.984369578019572e-6 t_1))
(/ 1.5056327351493116e-7 (+ t_0 8.0)))))))
double code(double z) {
double t_0 = (1.0 - z) - 1.0;
double t_1 = t_0 + 7.0;
double t_2 = t_1 + 0.5;
return (((double) M_PI) / sin((((double) M_PI) * z))) * (((sqrt((((double) M_PI) * 2.0)) * pow(t_2, (t_0 + 0.5))) * exp(-t_2)) * ((((((((0.9999999999998099 + (676.5203681218851 / (t_0 + 1.0))) + (-1259.1392167224028 / (t_0 + 2.0))) + (771.3234287776531 / (t_0 + 3.0))) + (-176.6150291621406 / (t_0 + 4.0))) + (12.507343278686905 / (t_0 + 5.0))) + (-0.13857109526572012 / (t_0 + 6.0))) + (9.984369578019572e-6 / t_1)) + (1.5056327351493116e-7 / (t_0 + 8.0))));
}
public static double code(double z) {
double t_0 = (1.0 - z) - 1.0;
double t_1 = t_0 + 7.0;
double t_2 = t_1 + 0.5;
return (Math.PI / Math.sin((Math.PI * z))) * (((Math.sqrt((Math.PI * 2.0)) * Math.pow(t_2, (t_0 + 0.5))) * Math.exp(-t_2)) * ((((((((0.9999999999998099 + (676.5203681218851 / (t_0 + 1.0))) + (-1259.1392167224028 / (t_0 + 2.0))) + (771.3234287776531 / (t_0 + 3.0))) + (-176.6150291621406 / (t_0 + 4.0))) + (12.507343278686905 / (t_0 + 5.0))) + (-0.13857109526572012 / (t_0 + 6.0))) + (9.984369578019572e-6 / t_1)) + (1.5056327351493116e-7 / (t_0 + 8.0))));
}
def code(z): t_0 = (1.0 - z) - 1.0 t_1 = t_0 + 7.0 t_2 = t_1 + 0.5 return (math.pi / math.sin((math.pi * z))) * (((math.sqrt((math.pi * 2.0)) * math.pow(t_2, (t_0 + 0.5))) * math.exp(-t_2)) * ((((((((0.9999999999998099 + (676.5203681218851 / (t_0 + 1.0))) + (-1259.1392167224028 / (t_0 + 2.0))) + (771.3234287776531 / (t_0 + 3.0))) + (-176.6150291621406 / (t_0 + 4.0))) + (12.507343278686905 / (t_0 + 5.0))) + (-0.13857109526572012 / (t_0 + 6.0))) + (9.984369578019572e-6 / t_1)) + (1.5056327351493116e-7 / (t_0 + 8.0))))
function code(z) t_0 = Float64(Float64(1.0 - z) - 1.0) t_1 = Float64(t_0 + 7.0) t_2 = Float64(t_1 + 0.5) return Float64(Float64(pi / sin(Float64(pi * z))) * Float64(Float64(Float64(sqrt(Float64(pi * 2.0)) * (t_2 ^ Float64(t_0 + 0.5))) * exp(Float64(-t_2))) * Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(0.9999999999998099 + Float64(676.5203681218851 / Float64(t_0 + 1.0))) + Float64(-1259.1392167224028 / Float64(t_0 + 2.0))) + Float64(771.3234287776531 / Float64(t_0 + 3.0))) + Float64(-176.6150291621406 / Float64(t_0 + 4.0))) + Float64(12.507343278686905 / Float64(t_0 + 5.0))) + Float64(-0.13857109526572012 / Float64(t_0 + 6.0))) + Float64(9.984369578019572e-6 / t_1)) + Float64(1.5056327351493116e-7 / Float64(t_0 + 8.0))))) end
function tmp = code(z) t_0 = (1.0 - z) - 1.0; t_1 = t_0 + 7.0; t_2 = t_1 + 0.5; tmp = (pi / sin((pi * z))) * (((sqrt((pi * 2.0)) * (t_2 ^ (t_0 + 0.5))) * exp(-t_2)) * ((((((((0.9999999999998099 + (676.5203681218851 / (t_0 + 1.0))) + (-1259.1392167224028 / (t_0 + 2.0))) + (771.3234287776531 / (t_0 + 3.0))) + (-176.6150291621406 / (t_0 + 4.0))) + (12.507343278686905 / (t_0 + 5.0))) + (-0.13857109526572012 / (t_0 + 6.0))) + (9.984369578019572e-6 / t_1)) + (1.5056327351493116e-7 / (t_0 + 8.0)))); end
code[z_] := Block[{t$95$0 = N[(N[(1.0 - z), $MachinePrecision] - 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(t$95$0 + 7.0), $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 + 0.5), $MachinePrecision]}, N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[Power[t$95$2, N[(t$95$0 + 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Exp[(-t$95$2)], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(N[(N[(N[(N[(0.9999999999998099 + N[(676.5203681218851 / N[(t$95$0 + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-1259.1392167224028 / N[(t$95$0 + 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(771.3234287776531 / N[(t$95$0 + 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-176.6150291621406 / N[(t$95$0 + 4.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(12.507343278686905 / N[(t$95$0 + 5.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(t$95$0 + 6.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(9.984369578019572e-6 / t$95$1), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(t$95$0 + 8.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(1 - z\right) - 1\\
t_1 := t\_0 + 7\\
t_2 := t\_1 + 0.5\\
\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\sqrt{\pi \cdot 2} \cdot {t\_2}^{\left(t\_0 + 0.5\right)}\right) \cdot e^{-t\_2}\right) \cdot \left(\left(\left(\left(\left(\left(\left(\left(0.9999999999998099 + \frac{676.5203681218851}{t\_0 + 1}\right) + \frac{-1259.1392167224028}{t\_0 + 2}\right) + \frac{771.3234287776531}{t\_0 + 3}\right) + \frac{-176.6150291621406}{t\_0 + 4}\right) + \frac{12.507343278686905}{t\_0 + 5}\right) + \frac{-0.13857109526572012}{t\_0 + 6}\right) + \frac{9.984369578019572 \cdot 10^{-6}}{t\_1}\right) + \frac{1.5056327351493116 \cdot 10^{-7}}{t\_0 + 8}\right)\right)
\end{array}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 11 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (z)
:precision binary64
(let* ((t_0 (- (- 1.0 z) 1.0)) (t_1 (+ t_0 7.0)) (t_2 (+ t_1 0.5)))
(*
(/ PI (sin (* PI z)))
(*
(* (* (sqrt (* PI 2.0)) (pow t_2 (+ t_0 0.5))) (exp (- t_2)))
(+
(+
(+
(+
(+
(+
(+
(+ 0.9999999999998099 (/ 676.5203681218851 (+ t_0 1.0)))
(/ -1259.1392167224028 (+ t_0 2.0)))
(/ 771.3234287776531 (+ t_0 3.0)))
(/ -176.6150291621406 (+ t_0 4.0)))
(/ 12.507343278686905 (+ t_0 5.0)))
(/ -0.13857109526572012 (+ t_0 6.0)))
(/ 9.984369578019572e-6 t_1))
(/ 1.5056327351493116e-7 (+ t_0 8.0)))))))
double code(double z) {
double t_0 = (1.0 - z) - 1.0;
double t_1 = t_0 + 7.0;
double t_2 = t_1 + 0.5;
return (((double) M_PI) / sin((((double) M_PI) * z))) * (((sqrt((((double) M_PI) * 2.0)) * pow(t_2, (t_0 + 0.5))) * exp(-t_2)) * ((((((((0.9999999999998099 + (676.5203681218851 / (t_0 + 1.0))) + (-1259.1392167224028 / (t_0 + 2.0))) + (771.3234287776531 / (t_0 + 3.0))) + (-176.6150291621406 / (t_0 + 4.0))) + (12.507343278686905 / (t_0 + 5.0))) + (-0.13857109526572012 / (t_0 + 6.0))) + (9.984369578019572e-6 / t_1)) + (1.5056327351493116e-7 / (t_0 + 8.0))));
}
public static double code(double z) {
double t_0 = (1.0 - z) - 1.0;
double t_1 = t_0 + 7.0;
double t_2 = t_1 + 0.5;
return (Math.PI / Math.sin((Math.PI * z))) * (((Math.sqrt((Math.PI * 2.0)) * Math.pow(t_2, (t_0 + 0.5))) * Math.exp(-t_2)) * ((((((((0.9999999999998099 + (676.5203681218851 / (t_0 + 1.0))) + (-1259.1392167224028 / (t_0 + 2.0))) + (771.3234287776531 / (t_0 + 3.0))) + (-176.6150291621406 / (t_0 + 4.0))) + (12.507343278686905 / (t_0 + 5.0))) + (-0.13857109526572012 / (t_0 + 6.0))) + (9.984369578019572e-6 / t_1)) + (1.5056327351493116e-7 / (t_0 + 8.0))));
}
def code(z): t_0 = (1.0 - z) - 1.0 t_1 = t_0 + 7.0 t_2 = t_1 + 0.5 return (math.pi / math.sin((math.pi * z))) * (((math.sqrt((math.pi * 2.0)) * math.pow(t_2, (t_0 + 0.5))) * math.exp(-t_2)) * ((((((((0.9999999999998099 + (676.5203681218851 / (t_0 + 1.0))) + (-1259.1392167224028 / (t_0 + 2.0))) + (771.3234287776531 / (t_0 + 3.0))) + (-176.6150291621406 / (t_0 + 4.0))) + (12.507343278686905 / (t_0 + 5.0))) + (-0.13857109526572012 / (t_0 + 6.0))) + (9.984369578019572e-6 / t_1)) + (1.5056327351493116e-7 / (t_0 + 8.0))))
function code(z) t_0 = Float64(Float64(1.0 - z) - 1.0) t_1 = Float64(t_0 + 7.0) t_2 = Float64(t_1 + 0.5) return Float64(Float64(pi / sin(Float64(pi * z))) * Float64(Float64(Float64(sqrt(Float64(pi * 2.0)) * (t_2 ^ Float64(t_0 + 0.5))) * exp(Float64(-t_2))) * Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(0.9999999999998099 + Float64(676.5203681218851 / Float64(t_0 + 1.0))) + Float64(-1259.1392167224028 / Float64(t_0 + 2.0))) + Float64(771.3234287776531 / Float64(t_0 + 3.0))) + Float64(-176.6150291621406 / Float64(t_0 + 4.0))) + Float64(12.507343278686905 / Float64(t_0 + 5.0))) + Float64(-0.13857109526572012 / Float64(t_0 + 6.0))) + Float64(9.984369578019572e-6 / t_1)) + Float64(1.5056327351493116e-7 / Float64(t_0 + 8.0))))) end
function tmp = code(z) t_0 = (1.0 - z) - 1.0; t_1 = t_0 + 7.0; t_2 = t_1 + 0.5; tmp = (pi / sin((pi * z))) * (((sqrt((pi * 2.0)) * (t_2 ^ (t_0 + 0.5))) * exp(-t_2)) * ((((((((0.9999999999998099 + (676.5203681218851 / (t_0 + 1.0))) + (-1259.1392167224028 / (t_0 + 2.0))) + (771.3234287776531 / (t_0 + 3.0))) + (-176.6150291621406 / (t_0 + 4.0))) + (12.507343278686905 / (t_0 + 5.0))) + (-0.13857109526572012 / (t_0 + 6.0))) + (9.984369578019572e-6 / t_1)) + (1.5056327351493116e-7 / (t_0 + 8.0)))); end
code[z_] := Block[{t$95$0 = N[(N[(1.0 - z), $MachinePrecision] - 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(t$95$0 + 7.0), $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 + 0.5), $MachinePrecision]}, N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[Power[t$95$2, N[(t$95$0 + 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Exp[(-t$95$2)], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(N[(N[(N[(N[(0.9999999999998099 + N[(676.5203681218851 / N[(t$95$0 + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-1259.1392167224028 / N[(t$95$0 + 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(771.3234287776531 / N[(t$95$0 + 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-176.6150291621406 / N[(t$95$0 + 4.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(12.507343278686905 / N[(t$95$0 + 5.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(t$95$0 + 6.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(9.984369578019572e-6 / t$95$1), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(t$95$0 + 8.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(1 - z\right) - 1\\
t_1 := t\_0 + 7\\
t_2 := t\_1 + 0.5\\
\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\sqrt{\pi \cdot 2} \cdot {t\_2}^{\left(t\_0 + 0.5\right)}\right) \cdot e^{-t\_2}\right) \cdot \left(\left(\left(\left(\left(\left(\left(\left(0.9999999999998099 + \frac{676.5203681218851}{t\_0 + 1}\right) + \frac{-1259.1392167224028}{t\_0 + 2}\right) + \frac{771.3234287776531}{t\_0 + 3}\right) + \frac{-176.6150291621406}{t\_0 + 4}\right) + \frac{12.507343278686905}{t\_0 + 5}\right) + \frac{-0.13857109526572012}{t\_0 + 6}\right) + \frac{9.984369578019572 \cdot 10^{-6}}{t\_1}\right) + \frac{1.5056327351493116 \cdot 10^{-7}}{t\_0 + 8}\right)\right)
\end{array}
\end{array}
(FPCore (z)
:precision binary64
(let* ((t_0 (/ PI (sin (* z PI))))
(t_1 (/ 676.5203681218851 (- 1.0 z)))
(t_2 (cbrt (* PI 2.0))))
(if (<= z -8e-13)
(*
(*
(sqrt (* PI 2.0))
(exp (+ (+ z -7.5) (* (- 0.5 z) (log (fma -1.0 z 7.5))))))
(*
t_0
(+
(+
(+
(/ 9.984369578019572e-6 (- 7.0 z))
(/ 1.5056327351493116e-7 (- 8.0 z)))
(+
(+ t_1 (/ -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_0
(*
(* (fabs t_2) (sqrt t_2))
(*
(pow (+ 7.5 (+ -1.0 (- 1.0 z))) (- (- 1.0 z) 0.5))
(exp (+ (- -6.0 (- 1.0 z)) -0.5)))))
(+
(+
(+
(+
(+ t_1 0.9999999999998099)
(/ -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 (+ z -1.0)))))))))
double code(double z) {
double t_0 = ((double) M_PI) / sin((z * ((double) M_PI)));
double t_1 = 676.5203681218851 / (1.0 - z);
double t_2 = cbrt((((double) M_PI) * 2.0));
double tmp;
if (z <= -8e-13) {
tmp = (sqrt((((double) M_PI) * 2.0)) * exp(((z + -7.5) + ((0.5 - z) * log(fma(-1.0, z, 7.5)))))) * (t_0 * ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + ((t_1 + (-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))))));
} else {
tmp = (t_0 * ((fabs(t_2) * sqrt(t_2)) * (pow((7.5 + (-1.0 + (1.0 - z))), ((1.0 - z) - 0.5)) * exp(((-6.0 - (1.0 - z)) + -0.5))))) * (((((t_1 + 0.9999999999998099) + (-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 + (z + -1.0)))));
}
return tmp;
}
function code(z) t_0 = Float64(pi / sin(Float64(z * pi))) t_1 = Float64(676.5203681218851 / Float64(1.0 - z)) t_2 = cbrt(Float64(pi * 2.0)) tmp = 0.0 if (z <= -8e-13) tmp = Float64(Float64(sqrt(Float64(pi * 2.0)) * exp(Float64(Float64(z + -7.5) + Float64(Float64(0.5 - z) * log(fma(-1.0, z, 7.5)))))) * Float64(t_0 * Float64(Float64(Float64(Float64(9.984369578019572e-6 / Float64(7.0 - z)) + Float64(1.5056327351493116e-7 / Float64(8.0 - z))) + Float64(Float64(t_1 + 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))))))); else tmp = Float64(Float64(t_0 * Float64(Float64(abs(t_2) * sqrt(t_2)) * Float64((Float64(7.5 + Float64(-1.0 + Float64(1.0 - z))) ^ Float64(Float64(1.0 - z) - 0.5)) * exp(Float64(Float64(-6.0 - Float64(1.0 - z)) + -0.5))))) * Float64(Float64(Float64(Float64(Float64(t_1 + 0.9999999999998099) + 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(z + -1.0)))))); end return tmp end
code[z_] := Block[{t$95$0 = N[(Pi / N[Sin[N[(z * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Power[N[(Pi * 2.0), $MachinePrecision], 1/3], $MachinePrecision]}, If[LessEqual[z, -8e-13], N[(N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(N[(z + -7.5), $MachinePrecision] + N[(N[(0.5 - z), $MachinePrecision] * N[Log[N[(-1.0 * z + 7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(t$95$0 * 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[(t$95$1 + 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]), $MachinePrecision], N[(N[(t$95$0 * N[(N[(N[Abs[t$95$2], $MachinePrecision] * N[Sqrt[t$95$2], $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[(7.5 + N[(-1.0 + N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(1.0 - z), $MachinePrecision] - 0.5), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(N[(-6.0 - N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(N[(t$95$1 + 0.9999999999998099), $MachinePrecision] + N[(-1259.1392167224028 / N[(1.0 + N[(1.0 - z), $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[(z + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\pi}{\sin \left(z \cdot \pi\right)}\\
t_1 := \frac{676.5203681218851}{1 - z}\\
t_2 := \sqrt[3]{\pi \cdot 2}\\
\mathbf{if}\;z \leq -8 \cdot 10^{-13}:\\
\;\;\;\;\left(\sqrt{\pi \cdot 2} \cdot e^{\left(z + -7.5\right) + \left(0.5 - z\right) \cdot \log \left(\mathsf{fma}\left(-1, z, 7.5\right)\right)}\right) \cdot \left(t\_0 \cdot \left(\left(\left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \frac{1.5056327351493116 \cdot 10^{-7}}{8 - z}\right) + \left(\left(t\_1 + \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)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_0 \cdot \left(\left(\left|t\_2\right| \cdot \sqrt{t\_2}\right) \cdot \left({\left(7.5 + \left(-1 + \left(1 - z\right)\right)\right)}^{\left(\left(1 - z\right) - 0.5\right)} \cdot e^{\left(-6 - \left(1 - z\right)\right) + -0.5}\right)\right)\right) \cdot \left(\left(\left(\left(\left(t\_1 + 0.9999999999998099\right) + \frac{-1259.1392167224028}{1 + \left(1 - z\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(z + -1\right)}\right)\right)\\
\end{array}
\end{array}
if z < -8.0000000000000002e-13Initial program 53.2%
Simplified53.4%
add-exp-log53.4%
*-commutative53.4%
log-prod53.4%
add-log-exp98.9%
log-pow99.3%
neg-mul-199.3%
fma-define99.3%
Applied egg-rr99.3%
if -8.0000000000000002e-13 < z Initial program 97.3%
Simplified99.0%
pow1/299.0%
add-cube-cbrt99.3%
unpow-prod-down99.3%
pow299.3%
*-commutative99.3%
*-commutative99.3%
Applied egg-rr99.3%
unpow1/299.3%
unpow299.3%
rem-sqrt-square99.3%
unpow1/299.3%
Simplified99.3%
Final simplification99.3%
(FPCore (z)
:precision binary64
(let* ((t_0 (/ PI (sin (* z PI)))) (t_1 (sqrt (* PI 2.0))))
(if (<= z -1000.0)
(*
(* t_1 (exp (- (+ z (* (- 0.5 z) (log (- 7.5 z)))) 7.5)))
(*
t_0
(-
(+ (/ -0.13857109526572012 (- 6.0 z)) -41.65228863479777)
(-
(+
(/ 9.984369578019572e-6 (- z 7.0))
(/ 1.5056327351493116e-7 (- z 8.0)))
(-
46.9507597606837
(- (/ 771.3234287776531 (- z 3.0)) 0.9999999999998099))))))
(*
(*
t_0
(*
t_1
(*
(exp (+ (- -6.0 (- 1.0 z)) -0.5))
(pow (- 7.5 z) (- (- 1.0 z) 0.5)))))
(-
(-
(/ 9.984369578019572e-6 (- (- 1.0 z) -6.0))
(/ 1.5056327351493116e-7 (+ -7.0 (+ z -1.0))))
(-
(+
(/ -0.13857109526572012 (- -5.0 (- 1.0 z)))
(/ 12.507343278686905 (- -4.0 (- 1.0 z))))
(-
(-
0.9999999999998099
(-
(/ -1259.1392167224028 (- -1.0 (- 1.0 z)))
(/ 676.5203681218851 (- 1.0 z))))
(-
(/ -176.6150291621406 (- -3.0 (- 1.0 z)))
(/
-1.0
(-
(- -0.0025929460008358354 (/ z -771.3234287776531))
0.0012964730004179177))))))))))
double code(double z) {
double t_0 = ((double) M_PI) / sin((z * ((double) M_PI)));
double t_1 = sqrt((((double) M_PI) * 2.0));
double tmp;
if (z <= -1000.0) {
tmp = (t_1 * exp(((z + ((0.5 - z) * log((7.5 - z)))) - 7.5))) * (t_0 * (((-0.13857109526572012 / (6.0 - z)) + -41.65228863479777) - (((9.984369578019572e-6 / (z - 7.0)) + (1.5056327351493116e-7 / (z - 8.0))) - (46.9507597606837 - ((771.3234287776531 / (z - 3.0)) - 0.9999999999998099)))));
} else {
tmp = (t_0 * (t_1 * (exp(((-6.0 - (1.0 - z)) + -0.5)) * pow((7.5 - z), ((1.0 - z) - 0.5))))) * (((9.984369578019572e-6 / ((1.0 - z) - -6.0)) - (1.5056327351493116e-7 / (-7.0 + (z + -1.0)))) - (((-0.13857109526572012 / (-5.0 - (1.0 - z))) + (12.507343278686905 / (-4.0 - (1.0 - z)))) - ((0.9999999999998099 - ((-1259.1392167224028 / (-1.0 - (1.0 - z))) - (676.5203681218851 / (1.0 - z)))) - ((-176.6150291621406 / (-3.0 - (1.0 - z))) - (-1.0 / ((-0.0025929460008358354 - (z / -771.3234287776531)) - 0.0012964730004179177))))));
}
return tmp;
}
public static double code(double z) {
double t_0 = Math.PI / Math.sin((z * Math.PI));
double t_1 = Math.sqrt((Math.PI * 2.0));
double tmp;
if (z <= -1000.0) {
tmp = (t_1 * Math.exp(((z + ((0.5 - z) * Math.log((7.5 - z)))) - 7.5))) * (t_0 * (((-0.13857109526572012 / (6.0 - z)) + -41.65228863479777) - (((9.984369578019572e-6 / (z - 7.0)) + (1.5056327351493116e-7 / (z - 8.0))) - (46.9507597606837 - ((771.3234287776531 / (z - 3.0)) - 0.9999999999998099)))));
} else {
tmp = (t_0 * (t_1 * (Math.exp(((-6.0 - (1.0 - z)) + -0.5)) * Math.pow((7.5 - z), ((1.0 - z) - 0.5))))) * (((9.984369578019572e-6 / ((1.0 - z) - -6.0)) - (1.5056327351493116e-7 / (-7.0 + (z + -1.0)))) - (((-0.13857109526572012 / (-5.0 - (1.0 - z))) + (12.507343278686905 / (-4.0 - (1.0 - z)))) - ((0.9999999999998099 - ((-1259.1392167224028 / (-1.0 - (1.0 - z))) - (676.5203681218851 / (1.0 - z)))) - ((-176.6150291621406 / (-3.0 - (1.0 - z))) - (-1.0 / ((-0.0025929460008358354 - (z / -771.3234287776531)) - 0.0012964730004179177))))));
}
return tmp;
}
def code(z): t_0 = math.pi / math.sin((z * math.pi)) t_1 = math.sqrt((math.pi * 2.0)) tmp = 0 if z <= -1000.0: tmp = (t_1 * math.exp(((z + ((0.5 - z) * math.log((7.5 - z)))) - 7.5))) * (t_0 * (((-0.13857109526572012 / (6.0 - z)) + -41.65228863479777) - (((9.984369578019572e-6 / (z - 7.0)) + (1.5056327351493116e-7 / (z - 8.0))) - (46.9507597606837 - ((771.3234287776531 / (z - 3.0)) - 0.9999999999998099))))) else: tmp = (t_0 * (t_1 * (math.exp(((-6.0 - (1.0 - z)) + -0.5)) * math.pow((7.5 - z), ((1.0 - z) - 0.5))))) * (((9.984369578019572e-6 / ((1.0 - z) - -6.0)) - (1.5056327351493116e-7 / (-7.0 + (z + -1.0)))) - (((-0.13857109526572012 / (-5.0 - (1.0 - z))) + (12.507343278686905 / (-4.0 - (1.0 - z)))) - ((0.9999999999998099 - ((-1259.1392167224028 / (-1.0 - (1.0 - z))) - (676.5203681218851 / (1.0 - z)))) - ((-176.6150291621406 / (-3.0 - (1.0 - z))) - (-1.0 / ((-0.0025929460008358354 - (z / -771.3234287776531)) - 0.0012964730004179177)))))) return tmp
function code(z) t_0 = Float64(pi / sin(Float64(z * pi))) t_1 = sqrt(Float64(pi * 2.0)) tmp = 0.0 if (z <= -1000.0) tmp = Float64(Float64(t_1 * exp(Float64(Float64(z + Float64(Float64(0.5 - z) * log(Float64(7.5 - z)))) - 7.5))) * Float64(t_0 * Float64(Float64(Float64(-0.13857109526572012 / Float64(6.0 - z)) + -41.65228863479777) - Float64(Float64(Float64(9.984369578019572e-6 / Float64(z - 7.0)) + Float64(1.5056327351493116e-7 / Float64(z - 8.0))) - Float64(46.9507597606837 - Float64(Float64(771.3234287776531 / Float64(z - 3.0)) - 0.9999999999998099)))))); else tmp = Float64(Float64(t_0 * Float64(t_1 * Float64(exp(Float64(Float64(-6.0 - Float64(1.0 - z)) + -0.5)) * (Float64(7.5 - z) ^ Float64(Float64(1.0 - z) - 0.5))))) * Float64(Float64(Float64(9.984369578019572e-6 / Float64(Float64(1.0 - z) - -6.0)) - Float64(1.5056327351493116e-7 / Float64(-7.0 + Float64(z + -1.0)))) - Float64(Float64(Float64(-0.13857109526572012 / Float64(-5.0 - Float64(1.0 - z))) + Float64(12.507343278686905 / Float64(-4.0 - Float64(1.0 - z)))) - Float64(Float64(0.9999999999998099 - Float64(Float64(-1259.1392167224028 / Float64(-1.0 - Float64(1.0 - z))) - Float64(676.5203681218851 / Float64(1.0 - z)))) - Float64(Float64(-176.6150291621406 / Float64(-3.0 - Float64(1.0 - z))) - Float64(-1.0 / Float64(Float64(-0.0025929460008358354 - Float64(z / -771.3234287776531)) - 0.0012964730004179177))))))); end return tmp end
function tmp_2 = code(z) t_0 = pi / sin((z * pi)); t_1 = sqrt((pi * 2.0)); tmp = 0.0; if (z <= -1000.0) tmp = (t_1 * exp(((z + ((0.5 - z) * log((7.5 - z)))) - 7.5))) * (t_0 * (((-0.13857109526572012 / (6.0 - z)) + -41.65228863479777) - (((9.984369578019572e-6 / (z - 7.0)) + (1.5056327351493116e-7 / (z - 8.0))) - (46.9507597606837 - ((771.3234287776531 / (z - 3.0)) - 0.9999999999998099))))); else tmp = (t_0 * (t_1 * (exp(((-6.0 - (1.0 - z)) + -0.5)) * ((7.5 - z) ^ ((1.0 - z) - 0.5))))) * (((9.984369578019572e-6 / ((1.0 - z) - -6.0)) - (1.5056327351493116e-7 / (-7.0 + (z + -1.0)))) - (((-0.13857109526572012 / (-5.0 - (1.0 - z))) + (12.507343278686905 / (-4.0 - (1.0 - z)))) - ((0.9999999999998099 - ((-1259.1392167224028 / (-1.0 - (1.0 - z))) - (676.5203681218851 / (1.0 - z)))) - ((-176.6150291621406 / (-3.0 - (1.0 - z))) - (-1.0 / ((-0.0025929460008358354 - (z / -771.3234287776531)) - 0.0012964730004179177)))))); end tmp_2 = tmp; end
code[z_] := Block[{t$95$0 = N[(Pi / N[Sin[N[(z * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[z, -1000.0], N[(N[(t$95$1 * N[Exp[N[(N[(z + N[(N[(0.5 - z), $MachinePrecision] * N[Log[N[(7.5 - z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(t$95$0 * N[(N[(N[(-0.13857109526572012 / N[(6.0 - z), $MachinePrecision]), $MachinePrecision] + -41.65228863479777), $MachinePrecision] - N[(N[(N[(9.984369578019572e-6 / N[(z - 7.0), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(z - 8.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(46.9507597606837 - N[(N[(771.3234287776531 / N[(z - 3.0), $MachinePrecision]), $MachinePrecision] - 0.9999999999998099), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$0 * N[(t$95$1 * N[(N[Exp[N[(N[(-6.0 - N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + -0.5), $MachinePrecision]], $MachinePrecision] * N[Power[N[(7.5 - z), $MachinePrecision], N[(N[(1.0 - z), $MachinePrecision] - 0.5), $MachinePrecision]], $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[(z + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(N[(-0.13857109526572012 / N[(-5.0 - N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(12.507343278686905 / N[(-4.0 - N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(0.9999999999998099 - N[(N[(-1259.1392167224028 / N[(-1.0 - N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(-176.6150291621406 / N[(-3.0 - N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(-1.0 / N[(N[(-0.0025929460008358354 - N[(z / -771.3234287776531), $MachinePrecision]), $MachinePrecision] - 0.0012964730004179177), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\pi}{\sin \left(z \cdot \pi\right)}\\
t_1 := \sqrt{\pi \cdot 2}\\
\mathbf{if}\;z \leq -1000:\\
\;\;\;\;\left(t\_1 \cdot e^{\left(z + \left(0.5 - z\right) \cdot \log \left(7.5 - z\right)\right) - 7.5}\right) \cdot \left(t\_0 \cdot \left(\left(\frac{-0.13857109526572012}{6 - z} + -41.65228863479777\right) - \left(\left(\frac{9.984369578019572 \cdot 10^{-6}}{z - 7} + \frac{1.5056327351493116 \cdot 10^{-7}}{z - 8}\right) - \left(46.9507597606837 - \left(\frac{771.3234287776531}{z - 3} - 0.9999999999998099\right)\right)\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_0 \cdot \left(t\_1 \cdot \left(e^{\left(-6 - \left(1 - z\right)\right) + -0.5} \cdot {\left(7.5 - z\right)}^{\left(\left(1 - z\right) - 0.5\right)}\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(z + -1\right)}\right) - \left(\left(\frac{-0.13857109526572012}{-5 - \left(1 - z\right)} + \frac{12.507343278686905}{-4 - \left(1 - z\right)}\right) - \left(\left(0.9999999999998099 - \left(\frac{-1259.1392167224028}{-1 - \left(1 - z\right)} - \frac{676.5203681218851}{1 - z}\right)\right) - \left(\frac{-176.6150291621406}{-3 - \left(1 - z\right)} - \frac{-1}{\left(-0.0025929460008358354 - \frac{z}{-771.3234287776531}\right) - 0.0012964730004179177}\right)\right)\right)\right)\\
\end{array}
\end{array}
if z < -1e3Initial program 0.0%
Simplified0.0%
Taylor expanded in z around 0 0.0%
Taylor expanded in z around 0 0.0%
add-exp-log0.0%
*-commutative0.0%
log-prod0.0%
add-log-exp100.0%
log-pow100.0%
neg-mul-1100.0%
fma-define100.0%
Applied egg-rr100.0%
Taylor expanded in z around inf 100.0%
if -1e3 < z Initial program 97.3%
Simplified99.0%
*-un-lft-identity99.0%
associate-+l+99.0%
--rgt-identity99.0%
associate--l-99.0%
Applied egg-rr99.0%
*-lft-identity99.0%
Simplified99.0%
clear-num99.0%
inv-pow99.0%
associate--l-99.0%
div-sub99.0%
metadata-eval99.0%
Applied egg-rr99.0%
unpow-199.0%
sub-neg99.0%
metadata-eval99.0%
sub-neg99.0%
distribute-neg-frac299.0%
metadata-eval99.0%
div-sub99.0%
metadata-eval99.0%
Simplified99.0%
Taylor expanded in z around 0 99.0%
neg-mul-199.0%
Simplified99.0%
Final simplification99.0%
(FPCore (z)
:precision binary64
(let* ((t_0 (/ PI (sin (* z PI)))) (t_1 (sqrt (* PI 2.0))))
(if (<= z -1000.0)
(*
(* t_1 (exp (- (+ z (* (- 0.5 z) (log (- 7.5 z)))) 7.5)))
(*
t_0
(-
(+ (/ -0.13857109526572012 (- 6.0 z)) -41.65228863479777)
(-
(+
(/ 9.984369578019572e-6 (- z 7.0))
(/ 1.5056327351493116e-7 (- z 8.0)))
(-
46.9507597606837
(- (/ 771.3234287776531 (- z 3.0)) 0.9999999999998099))))))
(*
(*
t_0
(*
t_1
(*
(exp (+ (- -6.0 (- 1.0 z)) -0.5))
(pow (- 7.5 z) (- (- 1.0 z) 0.5)))))
(+
(-
(/ 9.984369578019572e-6 (- (- 1.0 z) -6.0))
(/ 1.5056327351493116e-7 (+ -7.0 (+ z -1.0))))
(+
(+
(/ 12.507343278686905 (- (- 1.0 z) -4.0))
(/ -0.13857109526572012 (- (- 1.0 z) -5.0)))
(+
(+
(/ 771.3234287776531 (- (- 1.0 z) -2.0))
(/ -176.6150291621406 (- (- 1.0 z) -3.0)))
(-
0.9999999999998099
(-
(/ -1259.1392167224028 (- -1.0 (- 1.0 z)))
(/ 676.5203681218851 (- 1.0 z)))))))))))
double code(double z) {
double t_0 = ((double) M_PI) / sin((z * ((double) M_PI)));
double t_1 = sqrt((((double) M_PI) * 2.0));
double tmp;
if (z <= -1000.0) {
tmp = (t_1 * exp(((z + ((0.5 - z) * log((7.5 - z)))) - 7.5))) * (t_0 * (((-0.13857109526572012 / (6.0 - z)) + -41.65228863479777) - (((9.984369578019572e-6 / (z - 7.0)) + (1.5056327351493116e-7 / (z - 8.0))) - (46.9507597606837 - ((771.3234287776531 / (z - 3.0)) - 0.9999999999998099)))));
} else {
tmp = (t_0 * (t_1 * (exp(((-6.0 - (1.0 - z)) + -0.5)) * pow((7.5 - z), ((1.0 - z) - 0.5))))) * (((9.984369578019572e-6 / ((1.0 - z) - -6.0)) - (1.5056327351493116e-7 / (-7.0 + (z + -1.0)))) + (((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0))) + (((771.3234287776531 / ((1.0 - z) - -2.0)) + (-176.6150291621406 / ((1.0 - z) - -3.0))) + (0.9999999999998099 - ((-1259.1392167224028 / (-1.0 - (1.0 - z))) - (676.5203681218851 / (1.0 - z)))))));
}
return tmp;
}
public static double code(double z) {
double t_0 = Math.PI / Math.sin((z * Math.PI));
double t_1 = Math.sqrt((Math.PI * 2.0));
double tmp;
if (z <= -1000.0) {
tmp = (t_1 * Math.exp(((z + ((0.5 - z) * Math.log((7.5 - z)))) - 7.5))) * (t_0 * (((-0.13857109526572012 / (6.0 - z)) + -41.65228863479777) - (((9.984369578019572e-6 / (z - 7.0)) + (1.5056327351493116e-7 / (z - 8.0))) - (46.9507597606837 - ((771.3234287776531 / (z - 3.0)) - 0.9999999999998099)))));
} else {
tmp = (t_0 * (t_1 * (Math.exp(((-6.0 - (1.0 - z)) + -0.5)) * Math.pow((7.5 - z), ((1.0 - z) - 0.5))))) * (((9.984369578019572e-6 / ((1.0 - z) - -6.0)) - (1.5056327351493116e-7 / (-7.0 + (z + -1.0)))) + (((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0))) + (((771.3234287776531 / ((1.0 - z) - -2.0)) + (-176.6150291621406 / ((1.0 - z) - -3.0))) + (0.9999999999998099 - ((-1259.1392167224028 / (-1.0 - (1.0 - z))) - (676.5203681218851 / (1.0 - z)))))));
}
return tmp;
}
def code(z): t_0 = math.pi / math.sin((z * math.pi)) t_1 = math.sqrt((math.pi * 2.0)) tmp = 0 if z <= -1000.0: tmp = (t_1 * math.exp(((z + ((0.5 - z) * math.log((7.5 - z)))) - 7.5))) * (t_0 * (((-0.13857109526572012 / (6.0 - z)) + -41.65228863479777) - (((9.984369578019572e-6 / (z - 7.0)) + (1.5056327351493116e-7 / (z - 8.0))) - (46.9507597606837 - ((771.3234287776531 / (z - 3.0)) - 0.9999999999998099))))) else: tmp = (t_0 * (t_1 * (math.exp(((-6.0 - (1.0 - z)) + -0.5)) * math.pow((7.5 - z), ((1.0 - z) - 0.5))))) * (((9.984369578019572e-6 / ((1.0 - z) - -6.0)) - (1.5056327351493116e-7 / (-7.0 + (z + -1.0)))) + (((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0))) + (((771.3234287776531 / ((1.0 - z) - -2.0)) + (-176.6150291621406 / ((1.0 - z) - -3.0))) + (0.9999999999998099 - ((-1259.1392167224028 / (-1.0 - (1.0 - z))) - (676.5203681218851 / (1.0 - z))))))) return tmp
function code(z) t_0 = Float64(pi / sin(Float64(z * pi))) t_1 = sqrt(Float64(pi * 2.0)) tmp = 0.0 if (z <= -1000.0) tmp = Float64(Float64(t_1 * exp(Float64(Float64(z + Float64(Float64(0.5 - z) * log(Float64(7.5 - z)))) - 7.5))) * Float64(t_0 * Float64(Float64(Float64(-0.13857109526572012 / Float64(6.0 - z)) + -41.65228863479777) - Float64(Float64(Float64(9.984369578019572e-6 / Float64(z - 7.0)) + Float64(1.5056327351493116e-7 / Float64(z - 8.0))) - Float64(46.9507597606837 - Float64(Float64(771.3234287776531 / Float64(z - 3.0)) - 0.9999999999998099)))))); else tmp = Float64(Float64(t_0 * Float64(t_1 * Float64(exp(Float64(Float64(-6.0 - Float64(1.0 - z)) + -0.5)) * (Float64(7.5 - z) ^ Float64(Float64(1.0 - z) - 0.5))))) * Float64(Float64(Float64(9.984369578019572e-6 / Float64(Float64(1.0 - z) - -6.0)) - Float64(1.5056327351493116e-7 / Float64(-7.0 + Float64(z + -1.0)))) + 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(771.3234287776531 / Float64(Float64(1.0 - z) - -2.0)) + Float64(-176.6150291621406 / Float64(Float64(1.0 - z) - -3.0))) + Float64(0.9999999999998099 - Float64(Float64(-1259.1392167224028 / Float64(-1.0 - Float64(1.0 - z))) - Float64(676.5203681218851 / Float64(1.0 - z)))))))); end return tmp end
function tmp_2 = code(z) t_0 = pi / sin((z * pi)); t_1 = sqrt((pi * 2.0)); tmp = 0.0; if (z <= -1000.0) tmp = (t_1 * exp(((z + ((0.5 - z) * log((7.5 - z)))) - 7.5))) * (t_0 * (((-0.13857109526572012 / (6.0 - z)) + -41.65228863479777) - (((9.984369578019572e-6 / (z - 7.0)) + (1.5056327351493116e-7 / (z - 8.0))) - (46.9507597606837 - ((771.3234287776531 / (z - 3.0)) - 0.9999999999998099))))); else tmp = (t_0 * (t_1 * (exp(((-6.0 - (1.0 - z)) + -0.5)) * ((7.5 - z) ^ ((1.0 - z) - 0.5))))) * (((9.984369578019572e-6 / ((1.0 - z) - -6.0)) - (1.5056327351493116e-7 / (-7.0 + (z + -1.0)))) + (((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0))) + (((771.3234287776531 / ((1.0 - z) - -2.0)) + (-176.6150291621406 / ((1.0 - z) - -3.0))) + (0.9999999999998099 - ((-1259.1392167224028 / (-1.0 - (1.0 - z))) - (676.5203681218851 / (1.0 - z))))))); end tmp_2 = tmp; end
code[z_] := Block[{t$95$0 = N[(Pi / N[Sin[N[(z * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[z, -1000.0], N[(N[(t$95$1 * N[Exp[N[(N[(z + N[(N[(0.5 - z), $MachinePrecision] * N[Log[N[(7.5 - z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(t$95$0 * N[(N[(N[(-0.13857109526572012 / N[(6.0 - z), $MachinePrecision]), $MachinePrecision] + -41.65228863479777), $MachinePrecision] - N[(N[(N[(9.984369578019572e-6 / N[(z - 7.0), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(z - 8.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(46.9507597606837 - N[(N[(771.3234287776531 / N[(z - 3.0), $MachinePrecision]), $MachinePrecision] - 0.9999999999998099), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$0 * N[(t$95$1 * N[(N[Exp[N[(N[(-6.0 - N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + -0.5), $MachinePrecision]], $MachinePrecision] * N[Power[N[(7.5 - z), $MachinePrecision], N[(N[(1.0 - z), $MachinePrecision] - 0.5), $MachinePrecision]], $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[(z + -1.0), $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[(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] + N[(0.9999999999998099 - N[(N[(-1259.1392167224028 / N[(-1.0 - N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\pi}{\sin \left(z \cdot \pi\right)}\\
t_1 := \sqrt{\pi \cdot 2}\\
\mathbf{if}\;z \leq -1000:\\
\;\;\;\;\left(t\_1 \cdot e^{\left(z + \left(0.5 - z\right) \cdot \log \left(7.5 - z\right)\right) - 7.5}\right) \cdot \left(t\_0 \cdot \left(\left(\frac{-0.13857109526572012}{6 - z} + -41.65228863479777\right) - \left(\left(\frac{9.984369578019572 \cdot 10^{-6}}{z - 7} + \frac{1.5056327351493116 \cdot 10^{-7}}{z - 8}\right) - \left(46.9507597606837 - \left(\frac{771.3234287776531}{z - 3} - 0.9999999999998099\right)\right)\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_0 \cdot \left(t\_1 \cdot \left(e^{\left(-6 - \left(1 - z\right)\right) + -0.5} \cdot {\left(7.5 - z\right)}^{\left(\left(1 - z\right) - 0.5\right)}\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(z + -1\right)}\right) + \left(\left(\frac{12.507343278686905}{\left(1 - z\right) - -4} + \frac{-0.13857109526572012}{\left(1 - z\right) - -5}\right) + \left(\left(\frac{771.3234287776531}{\left(1 - z\right) - -2} + \frac{-176.6150291621406}{\left(1 - z\right) - -3}\right) + \left(0.9999999999998099 - \left(\frac{-1259.1392167224028}{-1 - \left(1 - z\right)} - \frac{676.5203681218851}{1 - z}\right)\right)\right)\right)\right)\\
\end{array}
\end{array}
if z < -1e3Initial program 0.0%
Simplified0.0%
Taylor expanded in z around 0 0.0%
Taylor expanded in z around 0 0.0%
add-exp-log0.0%
*-commutative0.0%
log-prod0.0%
add-log-exp100.0%
log-pow100.0%
neg-mul-1100.0%
fma-define100.0%
Applied egg-rr100.0%
Taylor expanded in z around inf 100.0%
if -1e3 < z Initial program 97.3%
Simplified99.0%
*-un-lft-identity99.0%
associate-+l+99.0%
--rgt-identity99.0%
associate--l-99.0%
Applied egg-rr99.0%
*-lft-identity99.0%
Simplified99.0%
Taylor expanded in z around 0 99.0%
neg-mul-199.0%
Simplified99.0%
Final simplification99.0%
(FPCore (z)
:precision binary64
(let* ((t_0 (/ PI (sin (* z PI))))
(t_1 (sqrt (* PI 2.0)))
(t_2 (/ -0.13857109526572012 (- 6.0 z))))
(if (<= z -1000.0)
(*
(* t_1 (exp (- (+ z (* (- 0.5 z) (log (- 7.5 z)))) 7.5)))
(*
t_0
(-
(+ t_2 -41.65228863479777)
(-
(+
(/ 9.984369578019572e-6 (- z 7.0))
(/ 1.5056327351493116e-7 (- z 8.0)))
(-
46.9507597606837
(- (/ 771.3234287776531 (- z 3.0)) 0.9999999999998099))))))
(*
(* t_1 (* (pow (- 7.5 z) (- 0.5 z)) (exp (+ z -7.5))))
(*
t_0
(+
(+
(+
(/ 9.984369578019572e-6 (- 7.0 z))
(/ 1.5056327351493116e-7 (- 8.0 z)))
(-
(+ (/ 676.5203681218851 (- 1.0 z)) (/ -1259.1392167224028 (- 2.0 z)))
(- (* 771.3234287776531 (/ -1.0 (- 3.0 z))) 0.9999999999998099)))
(+
t_2
(/
(- (* (- 4.0 z) 12.507343278686905) (* -176.6150291621406 (- z 5.0)))
(* (- 4.0 z) (- 5.0 z))))))))))
double code(double z) {
double t_0 = ((double) M_PI) / sin((z * ((double) M_PI)));
double t_1 = sqrt((((double) M_PI) * 2.0));
double t_2 = -0.13857109526572012 / (6.0 - z);
double tmp;
if (z <= -1000.0) {
tmp = (t_1 * exp(((z + ((0.5 - z) * log((7.5 - z)))) - 7.5))) * (t_0 * ((t_2 + -41.65228863479777) - (((9.984369578019572e-6 / (z - 7.0)) + (1.5056327351493116e-7 / (z - 8.0))) - (46.9507597606837 - ((771.3234287776531 / (z - 3.0)) - 0.9999999999998099)))));
} else {
tmp = (t_1 * (pow((7.5 - z), (0.5 - z)) * exp((z + -7.5)))) * (t_0 * ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + (((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z))) - ((771.3234287776531 * (-1.0 / (3.0 - z))) - 0.9999999999998099))) + (t_2 + ((((4.0 - z) * 12.507343278686905) - (-176.6150291621406 * (z - 5.0))) / ((4.0 - z) * (5.0 - z))))));
}
return tmp;
}
public static double code(double z) {
double t_0 = Math.PI / Math.sin((z * Math.PI));
double t_1 = Math.sqrt((Math.PI * 2.0));
double t_2 = -0.13857109526572012 / (6.0 - z);
double tmp;
if (z <= -1000.0) {
tmp = (t_1 * Math.exp(((z + ((0.5 - z) * Math.log((7.5 - z)))) - 7.5))) * (t_0 * ((t_2 + -41.65228863479777) - (((9.984369578019572e-6 / (z - 7.0)) + (1.5056327351493116e-7 / (z - 8.0))) - (46.9507597606837 - ((771.3234287776531 / (z - 3.0)) - 0.9999999999998099)))));
} else {
tmp = (t_1 * (Math.pow((7.5 - z), (0.5 - z)) * Math.exp((z + -7.5)))) * (t_0 * ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + (((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z))) - ((771.3234287776531 * (-1.0 / (3.0 - z))) - 0.9999999999998099))) + (t_2 + ((((4.0 - z) * 12.507343278686905) - (-176.6150291621406 * (z - 5.0))) / ((4.0 - z) * (5.0 - z))))));
}
return tmp;
}
def code(z): t_0 = math.pi / math.sin((z * math.pi)) t_1 = math.sqrt((math.pi * 2.0)) t_2 = -0.13857109526572012 / (6.0 - z) tmp = 0 if z <= -1000.0: tmp = (t_1 * math.exp(((z + ((0.5 - z) * math.log((7.5 - z)))) - 7.5))) * (t_0 * ((t_2 + -41.65228863479777) - (((9.984369578019572e-6 / (z - 7.0)) + (1.5056327351493116e-7 / (z - 8.0))) - (46.9507597606837 - ((771.3234287776531 / (z - 3.0)) - 0.9999999999998099))))) else: tmp = (t_1 * (math.pow((7.5 - z), (0.5 - z)) * math.exp((z + -7.5)))) * (t_0 * ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + (((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z))) - ((771.3234287776531 * (-1.0 / (3.0 - z))) - 0.9999999999998099))) + (t_2 + ((((4.0 - z) * 12.507343278686905) - (-176.6150291621406 * (z - 5.0))) / ((4.0 - z) * (5.0 - z)))))) return tmp
function code(z) t_0 = Float64(pi / sin(Float64(z * pi))) t_1 = sqrt(Float64(pi * 2.0)) t_2 = Float64(-0.13857109526572012 / Float64(6.0 - z)) tmp = 0.0 if (z <= -1000.0) tmp = Float64(Float64(t_1 * exp(Float64(Float64(z + Float64(Float64(0.5 - z) * log(Float64(7.5 - z)))) - 7.5))) * Float64(t_0 * Float64(Float64(t_2 + -41.65228863479777) - Float64(Float64(Float64(9.984369578019572e-6 / Float64(z - 7.0)) + Float64(1.5056327351493116e-7 / Float64(z - 8.0))) - Float64(46.9507597606837 - Float64(Float64(771.3234287776531 / Float64(z - 3.0)) - 0.9999999999998099)))))); else tmp = Float64(Float64(t_1 * Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * exp(Float64(z + -7.5)))) * Float64(t_0 * 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(Float64(771.3234287776531 * Float64(-1.0 / Float64(3.0 - z))) - 0.9999999999998099))) + Float64(t_2 + Float64(Float64(Float64(Float64(4.0 - z) * 12.507343278686905) - Float64(-176.6150291621406 * Float64(z - 5.0))) / Float64(Float64(4.0 - z) * Float64(5.0 - z))))))); end return tmp end
function tmp_2 = code(z) t_0 = pi / sin((z * pi)); t_1 = sqrt((pi * 2.0)); t_2 = -0.13857109526572012 / (6.0 - z); tmp = 0.0; if (z <= -1000.0) tmp = (t_1 * exp(((z + ((0.5 - z) * log((7.5 - z)))) - 7.5))) * (t_0 * ((t_2 + -41.65228863479777) - (((9.984369578019572e-6 / (z - 7.0)) + (1.5056327351493116e-7 / (z - 8.0))) - (46.9507597606837 - ((771.3234287776531 / (z - 3.0)) - 0.9999999999998099))))); else tmp = (t_1 * (((7.5 - z) ^ (0.5 - z)) * exp((z + -7.5)))) * (t_0 * ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + (((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z))) - ((771.3234287776531 * (-1.0 / (3.0 - z))) - 0.9999999999998099))) + (t_2 + ((((4.0 - z) * 12.507343278686905) - (-176.6150291621406 * (z - 5.0))) / ((4.0 - z) * (5.0 - z)))))); end tmp_2 = tmp; end
code[z_] := Block[{t$95$0 = N[(Pi / N[Sin[N[(z * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(-0.13857109526572012 / N[(6.0 - z), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[z, -1000.0], N[(N[(t$95$1 * N[Exp[N[(N[(z + N[(N[(0.5 - z), $MachinePrecision] * N[Log[N[(7.5 - z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(t$95$0 * N[(N[(t$95$2 + -41.65228863479777), $MachinePrecision] - N[(N[(N[(9.984369578019572e-6 / N[(z - 7.0), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(z - 8.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(46.9507597606837 - N[(N[(771.3234287776531 / N[(z - 3.0), $MachinePrecision]), $MachinePrecision] - 0.9999999999998099), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $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$0 * 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[(N[(771.3234287776531 * N[(-1.0 / N[(3.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.9999999999998099), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$2 + N[(N[(N[(N[(4.0 - z), $MachinePrecision] * 12.507343278686905), $MachinePrecision] - N[(-176.6150291621406 * N[(z - 5.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(4.0 - z), $MachinePrecision] * N[(5.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\pi}{\sin \left(z \cdot \pi\right)}\\
t_1 := \sqrt{\pi \cdot 2}\\
t_2 := \frac{-0.13857109526572012}{6 - z}\\
\mathbf{if}\;z \leq -1000:\\
\;\;\;\;\left(t\_1 \cdot e^{\left(z + \left(0.5 - z\right) \cdot \log \left(7.5 - z\right)\right) - 7.5}\right) \cdot \left(t\_0 \cdot \left(\left(t\_2 + -41.65228863479777\right) - \left(\left(\frac{9.984369578019572 \cdot 10^{-6}}{z - 7} + \frac{1.5056327351493116 \cdot 10^{-7}}{z - 8}\right) - \left(46.9507597606837 - \left(\frac{771.3234287776531}{z - 3} - 0.9999999999998099\right)\right)\right)\right)\right)\\
\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\_0 \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(771.3234287776531 \cdot \frac{-1}{3 - z} - 0.9999999999998099\right)\right)\right) + \left(t\_2 + \frac{\left(4 - z\right) \cdot 12.507343278686905 - -176.6150291621406 \cdot \left(z - 5\right)}{\left(4 - z\right) \cdot \left(5 - z\right)}\right)\right)\right)\\
\end{array}
\end{array}
if z < -1e3Initial program 0.0%
Simplified0.0%
Taylor expanded in z around 0 0.0%
Taylor expanded in z around 0 0.0%
add-exp-log0.0%
*-commutative0.0%
log-prod0.0%
add-log-exp100.0%
log-pow100.0%
neg-mul-1100.0%
fma-define100.0%
Applied egg-rr100.0%
Taylor expanded in z around inf 100.0%
if -1e3 < z Initial program 97.3%
Simplified97.4%
Taylor expanded in z around inf 97.4%
exp-to-pow97.4%
sub-neg97.4%
metadata-eval97.4%
+-commutative97.4%
Simplified97.4%
+-commutative97.4%
frac-add97.4%
Applied egg-rr97.4%
div-inv98.7%
Applied egg-rr98.7%
Final simplification98.7%
(FPCore (z)
:precision binary64
(let* ((t_0 (/ PI (sin (* z PI)))) (t_1 (sqrt (* PI 2.0))))
(if (<= z -1000.0)
(*
(* t_1 (exp (- (+ z (* (- 0.5 z) (log (- 7.5 z)))) 7.5)))
(*
t_0
(-
(+ (/ -0.13857109526572012 (- 6.0 z)) -41.65228863479777)
(-
(+
(/ 9.984369578019572e-6 (- z 7.0))
(/ 1.5056327351493116e-7 (- z 8.0)))
(-
46.9507597606837
(- (/ 771.3234287776531 (- z 3.0)) 0.9999999999998099))))))
(*
(* t_1 (* (pow (- 7.5 z) (- 0.5 z)) (exp (+ z -7.5))))
(*
t_0
(-
(+
(+
(/ 9.984369578019572e-6 (- 7.0 z))
(/ 1.5056327351493116e-7 (- 8.0 z)))
(-
(+ (/ 676.5203681218851 (- 1.0 z)) (/ -1259.1392167224028 (- 2.0 z)))
(- (* 771.3234287776531 (/ -1.0 (- 3.0 z))) 0.9999999999998099)))
(+
(/ -0.13857109526572012 (- z 6.0))
(+
(/ -176.6150291621406 (- z 4.0))
(/ 12.507343278686905 (- z 5.0))))))))))
double code(double z) {
double t_0 = ((double) M_PI) / sin((z * ((double) M_PI)));
double t_1 = sqrt((((double) M_PI) * 2.0));
double tmp;
if (z <= -1000.0) {
tmp = (t_1 * exp(((z + ((0.5 - z) * log((7.5 - z)))) - 7.5))) * (t_0 * (((-0.13857109526572012 / (6.0 - z)) + -41.65228863479777) - (((9.984369578019572e-6 / (z - 7.0)) + (1.5056327351493116e-7 / (z - 8.0))) - (46.9507597606837 - ((771.3234287776531 / (z - 3.0)) - 0.9999999999998099)))));
} else {
tmp = (t_1 * (pow((7.5 - z), (0.5 - z)) * exp((z + -7.5)))) * (t_0 * ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + (((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z))) - ((771.3234287776531 * (-1.0 / (3.0 - z))) - 0.9999999999998099))) - ((-0.13857109526572012 / (z - 6.0)) + ((-176.6150291621406 / (z - 4.0)) + (12.507343278686905 / (z - 5.0))))));
}
return tmp;
}
public static double code(double z) {
double t_0 = Math.PI / Math.sin((z * Math.PI));
double t_1 = Math.sqrt((Math.PI * 2.0));
double tmp;
if (z <= -1000.0) {
tmp = (t_1 * Math.exp(((z + ((0.5 - z) * Math.log((7.5 - z)))) - 7.5))) * (t_0 * (((-0.13857109526572012 / (6.0 - z)) + -41.65228863479777) - (((9.984369578019572e-6 / (z - 7.0)) + (1.5056327351493116e-7 / (z - 8.0))) - (46.9507597606837 - ((771.3234287776531 / (z - 3.0)) - 0.9999999999998099)))));
} else {
tmp = (t_1 * (Math.pow((7.5 - z), (0.5 - z)) * Math.exp((z + -7.5)))) * (t_0 * ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + (((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z))) - ((771.3234287776531 * (-1.0 / (3.0 - z))) - 0.9999999999998099))) - ((-0.13857109526572012 / (z - 6.0)) + ((-176.6150291621406 / (z - 4.0)) + (12.507343278686905 / (z - 5.0))))));
}
return tmp;
}
def code(z): t_0 = math.pi / math.sin((z * math.pi)) t_1 = math.sqrt((math.pi * 2.0)) tmp = 0 if z <= -1000.0: tmp = (t_1 * math.exp(((z + ((0.5 - z) * math.log((7.5 - z)))) - 7.5))) * (t_0 * (((-0.13857109526572012 / (6.0 - z)) + -41.65228863479777) - (((9.984369578019572e-6 / (z - 7.0)) + (1.5056327351493116e-7 / (z - 8.0))) - (46.9507597606837 - ((771.3234287776531 / (z - 3.0)) - 0.9999999999998099))))) else: tmp = (t_1 * (math.pow((7.5 - z), (0.5 - z)) * math.exp((z + -7.5)))) * (t_0 * ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + (((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z))) - ((771.3234287776531 * (-1.0 / (3.0 - z))) - 0.9999999999998099))) - ((-0.13857109526572012 / (z - 6.0)) + ((-176.6150291621406 / (z - 4.0)) + (12.507343278686905 / (z - 5.0)))))) return tmp
function code(z) t_0 = Float64(pi / sin(Float64(z * pi))) t_1 = sqrt(Float64(pi * 2.0)) tmp = 0.0 if (z <= -1000.0) tmp = Float64(Float64(t_1 * exp(Float64(Float64(z + Float64(Float64(0.5 - z) * log(Float64(7.5 - z)))) - 7.5))) * Float64(t_0 * Float64(Float64(Float64(-0.13857109526572012 / Float64(6.0 - z)) + -41.65228863479777) - Float64(Float64(Float64(9.984369578019572e-6 / Float64(z - 7.0)) + Float64(1.5056327351493116e-7 / Float64(z - 8.0))) - Float64(46.9507597606837 - Float64(Float64(771.3234287776531 / Float64(z - 3.0)) - 0.9999999999998099)))))); else tmp = Float64(Float64(t_1 * Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * exp(Float64(z + -7.5)))) * Float64(t_0 * 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(Float64(771.3234287776531 * Float64(-1.0 / Float64(3.0 - z))) - 0.9999999999998099))) - Float64(Float64(-0.13857109526572012 / Float64(z - 6.0)) + Float64(Float64(-176.6150291621406 / Float64(z - 4.0)) + Float64(12.507343278686905 / Float64(z - 5.0))))))); end return tmp end
function tmp_2 = code(z) t_0 = pi / sin((z * pi)); t_1 = sqrt((pi * 2.0)); tmp = 0.0; if (z <= -1000.0) tmp = (t_1 * exp(((z + ((0.5 - z) * log((7.5 - z)))) - 7.5))) * (t_0 * (((-0.13857109526572012 / (6.0 - z)) + -41.65228863479777) - (((9.984369578019572e-6 / (z - 7.0)) + (1.5056327351493116e-7 / (z - 8.0))) - (46.9507597606837 - ((771.3234287776531 / (z - 3.0)) - 0.9999999999998099))))); else tmp = (t_1 * (((7.5 - z) ^ (0.5 - z)) * exp((z + -7.5)))) * (t_0 * ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + (((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z))) - ((771.3234287776531 * (-1.0 / (3.0 - z))) - 0.9999999999998099))) - ((-0.13857109526572012 / (z - 6.0)) + ((-176.6150291621406 / (z - 4.0)) + (12.507343278686905 / (z - 5.0)))))); end tmp_2 = tmp; end
code[z_] := Block[{t$95$0 = N[(Pi / N[Sin[N[(z * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[z, -1000.0], N[(N[(t$95$1 * N[Exp[N[(N[(z + N[(N[(0.5 - z), $MachinePrecision] * N[Log[N[(7.5 - z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(t$95$0 * N[(N[(N[(-0.13857109526572012 / N[(6.0 - z), $MachinePrecision]), $MachinePrecision] + -41.65228863479777), $MachinePrecision] - N[(N[(N[(9.984369578019572e-6 / N[(z - 7.0), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(z - 8.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(46.9507597606837 - N[(N[(771.3234287776531 / N[(z - 3.0), $MachinePrecision]), $MachinePrecision] - 0.9999999999998099), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $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$0 * 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[(N[(771.3234287776531 * N[(-1.0 / N[(3.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.9999999999998099), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(-0.13857109526572012 / N[(z - 6.0), $MachinePrecision]), $MachinePrecision] + N[(N[(-176.6150291621406 / N[(z - 4.0), $MachinePrecision]), $MachinePrecision] + N[(12.507343278686905 / N[(z - 5.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\pi}{\sin \left(z \cdot \pi\right)}\\
t_1 := \sqrt{\pi \cdot 2}\\
\mathbf{if}\;z \leq -1000:\\
\;\;\;\;\left(t\_1 \cdot e^{\left(z + \left(0.5 - z\right) \cdot \log \left(7.5 - z\right)\right) - 7.5}\right) \cdot \left(t\_0 \cdot \left(\left(\frac{-0.13857109526572012}{6 - z} + -41.65228863479777\right) - \left(\left(\frac{9.984369578019572 \cdot 10^{-6}}{z - 7} + \frac{1.5056327351493116 \cdot 10^{-7}}{z - 8}\right) - \left(46.9507597606837 - \left(\frac{771.3234287776531}{z - 3} - 0.9999999999998099\right)\right)\right)\right)\right)\\
\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\_0 \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(771.3234287776531 \cdot \frac{-1}{3 - z} - 0.9999999999998099\right)\right)\right) - \left(\frac{-0.13857109526572012}{z - 6} + \left(\frac{-176.6150291621406}{z - 4} + \frac{12.507343278686905}{z - 5}\right)\right)\right)\right)\\
\end{array}
\end{array}
if z < -1e3Initial program 0.0%
Simplified0.0%
Taylor expanded in z around 0 0.0%
Taylor expanded in z around 0 0.0%
add-exp-log0.0%
*-commutative0.0%
log-prod0.0%
add-log-exp100.0%
log-pow100.0%
neg-mul-1100.0%
fma-define100.0%
Applied egg-rr100.0%
Taylor expanded in z around inf 100.0%
if -1e3 < z Initial program 97.3%
Simplified97.4%
Taylor expanded in z around inf 97.4%
exp-to-pow97.4%
sub-neg97.4%
metadata-eval97.4%
+-commutative97.4%
Simplified97.4%
div-inv98.7%
Applied egg-rr98.7%
Final simplification98.7%
(FPCore (z)
:precision binary64
(let* ((t_0 (/ PI (sin (* z PI))))
(t_1 (sqrt (* PI 2.0)))
(t_2 (/ -0.13857109526572012 (- 6.0 z))))
(if (<= z -1000.0)
(*
(* t_1 (exp (- (+ z (* (- 0.5 z) (log (- 7.5 z)))) 7.5)))
(*
t_0
(-
(+ t_2 -41.65228863479777)
(-
(+
(/ 9.984369578019572e-6 (- z 7.0))
(/ 1.5056327351493116e-7 (- z 8.0)))
(-
46.9507597606837
(- (/ 771.3234287776531 (- z 3.0)) 0.9999999999998099))))))
(*
(*
t_0
(+
(+
(+
(/ 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)))))
(+
t_2
(+
(/ -176.6150291621406 (- 4.0 z))
(/ 12.507343278686905 (- 5.0 z))))))
(* 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)));
double t_1 = sqrt((((double) M_PI) * 2.0));
double t_2 = -0.13857109526572012 / (6.0 - z);
double tmp;
if (z <= -1000.0) {
tmp = (t_1 * exp(((z + ((0.5 - z) * log((7.5 - z)))) - 7.5))) * (t_0 * ((t_2 + -41.65228863479777) - (((9.984369578019572e-6 / (z - 7.0)) + (1.5056327351493116e-7 / (z - 8.0))) - (46.9507597606837 - ((771.3234287776531 / (z - 3.0)) - 0.9999999999998099)))));
} else {
tmp = (t_0 * ((((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))))) + (t_2 + ((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z)))))) * (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));
double t_1 = Math.sqrt((Math.PI * 2.0));
double t_2 = -0.13857109526572012 / (6.0 - z);
double tmp;
if (z <= -1000.0) {
tmp = (t_1 * Math.exp(((z + ((0.5 - z) * Math.log((7.5 - z)))) - 7.5))) * (t_0 * ((t_2 + -41.65228863479777) - (((9.984369578019572e-6 / (z - 7.0)) + (1.5056327351493116e-7 / (z - 8.0))) - (46.9507597606837 - ((771.3234287776531 / (z - 3.0)) - 0.9999999999998099)))));
} else {
tmp = (t_0 * ((((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))))) + (t_2 + ((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z)))))) * (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)) t_1 = math.sqrt((math.pi * 2.0)) t_2 = -0.13857109526572012 / (6.0 - z) tmp = 0 if z <= -1000.0: tmp = (t_1 * math.exp(((z + ((0.5 - z) * math.log((7.5 - z)))) - 7.5))) * (t_0 * ((t_2 + -41.65228863479777) - (((9.984369578019572e-6 / (z - 7.0)) + (1.5056327351493116e-7 / (z - 8.0))) - (46.9507597606837 - ((771.3234287776531 / (z - 3.0)) - 0.9999999999998099))))) else: tmp = (t_0 * ((((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))))) + (t_2 + ((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z)))))) * (t_1 * (math.pow((7.5 - z), (0.5 - z)) * math.exp((z + -7.5)))) return tmp
function code(z) t_0 = Float64(pi / sin(Float64(z * pi))) t_1 = sqrt(Float64(pi * 2.0)) t_2 = Float64(-0.13857109526572012 / Float64(6.0 - z)) tmp = 0.0 if (z <= -1000.0) tmp = Float64(Float64(t_1 * exp(Float64(Float64(z + Float64(Float64(0.5 - z) * log(Float64(7.5 - z)))) - 7.5))) * Float64(t_0 * Float64(Float64(t_2 + -41.65228863479777) - Float64(Float64(Float64(9.984369578019572e-6 / Float64(z - 7.0)) + Float64(1.5056327351493116e-7 / Float64(z - 8.0))) - Float64(46.9507597606837 - Float64(Float64(771.3234287776531 / Float64(z - 3.0)) - 0.9999999999998099)))))); else tmp = Float64(Float64(t_0 * 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(t_2 + Float64(Float64(-176.6150291621406 / Float64(4.0 - z)) + Float64(12.507343278686905 / Float64(5.0 - z)))))) * 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)); t_1 = sqrt((pi * 2.0)); t_2 = -0.13857109526572012 / (6.0 - z); tmp = 0.0; if (z <= -1000.0) tmp = (t_1 * exp(((z + ((0.5 - z) * log((7.5 - z)))) - 7.5))) * (t_0 * ((t_2 + -41.65228863479777) - (((9.984369578019572e-6 / (z - 7.0)) + (1.5056327351493116e-7 / (z - 8.0))) - (46.9507597606837 - ((771.3234287776531 / (z - 3.0)) - 0.9999999999998099))))); else tmp = (t_0 * ((((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))))) + (t_2 + ((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z)))))) * (t_1 * (((7.5 - z) ^ (0.5 - z)) * exp((z + -7.5)))); end tmp_2 = tmp; end
code[z_] := Block[{t$95$0 = N[(Pi / N[Sin[N[(z * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(-0.13857109526572012 / N[(6.0 - z), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[z, -1000.0], N[(N[(t$95$1 * N[Exp[N[(N[(z + N[(N[(0.5 - z), $MachinePrecision] * N[Log[N[(7.5 - z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(t$95$0 * N[(N[(t$95$2 + -41.65228863479777), $MachinePrecision] - N[(N[(N[(9.984369578019572e-6 / N[(z - 7.0), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(z - 8.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(46.9507597606837 - N[(N[(771.3234287776531 / N[(z - 3.0), $MachinePrecision]), $MachinePrecision] - 0.9999999999998099), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$0 * 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[(t$95$2 + N[(N[(-176.6150291621406 / N[(4.0 - z), $MachinePrecision]), $MachinePrecision] + N[(12.507343278686905 / N[(5.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 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)}\\
t_1 := \sqrt{\pi \cdot 2}\\
t_2 := \frac{-0.13857109526572012}{6 - z}\\
\mathbf{if}\;z \leq -1000:\\
\;\;\;\;\left(t\_1 \cdot e^{\left(z + \left(0.5 - z\right) \cdot \log \left(7.5 - z\right)\right) - 7.5}\right) \cdot \left(t\_0 \cdot \left(\left(t\_2 + -41.65228863479777\right) - \left(\left(\frac{9.984369578019572 \cdot 10^{-6}}{z - 7} + \frac{1.5056327351493116 \cdot 10^{-7}}{z - 8}\right) - \left(46.9507597606837 - \left(\frac{771.3234287776531}{z - 3} - 0.9999999999998099\right)\right)\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_0 \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(t\_2 + \left(\frac{-176.6150291621406}{4 - z} + \frac{12.507343278686905}{5 - z}\right)\right)\right)\right) \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 < -1e3Initial program 0.0%
Simplified0.0%
Taylor expanded in z around 0 0.0%
Taylor expanded in z around 0 0.0%
add-exp-log0.0%
*-commutative0.0%
log-prod0.0%
add-log-exp100.0%
log-pow100.0%
neg-mul-1100.0%
fma-define100.0%
Applied egg-rr100.0%
Taylor expanded in z around inf 100.0%
if -1e3 < z Initial program 97.3%
Simplified97.4%
Taylor expanded in z around inf 97.4%
exp-to-pow97.4%
sub-neg97.4%
metadata-eval97.4%
+-commutative97.4%
Simplified97.4%
Final simplification97.5%
(FPCore (z)
:precision binary64
(let* ((t_0 (/ PI (sin (* z PI))))
(t_1 (sqrt (* PI 2.0)))
(t_2 (/ -0.13857109526572012 (- 6.0 z))))
(if (<= z -1.4)
(*
(* t_1 (exp (- (+ z (* (- 0.5 z) (log (- 7.5 z)))) 7.5)))
(*
t_0
(-
(+ t_2 -41.65228863479777)
(-
(+
(/ 9.984369578019572e-6 (- z 7.0))
(/ 1.5056327351493116e-7 (- z 8.0)))
(-
46.9507597606837
(- (/ 771.3234287776531 (- z 3.0)) 0.9999999999998099))))))
(*
(* t_1 (* (pow (- 7.5 z) (- 0.5 z)) (exp (+ z -7.5))))
(*
t_0
(+
(+
t_2
(+ (/ -176.6150291621406 (- 4.0 z)) (/ 12.507343278686905 (- 5.0 z))))
(+
(+
(/ 9.984369578019572e-6 (- 7.0 z))
(/ 1.5056327351493116e-7 (- 8.0 z)))
(+
(+ (/ 676.5203681218851 (- 1.0 z)) (/ -1259.1392167224028 (- 2.0 z)))
(+
0.9999999999998099
(+ 257.107809592551 (* z 85.702603197517)))))))))))
double code(double z) {
double t_0 = ((double) M_PI) / sin((z * ((double) M_PI)));
double t_1 = sqrt((((double) M_PI) * 2.0));
double t_2 = -0.13857109526572012 / (6.0 - z);
double tmp;
if (z <= -1.4) {
tmp = (t_1 * exp(((z + ((0.5 - z) * log((7.5 - z)))) - 7.5))) * (t_0 * ((t_2 + -41.65228863479777) - (((9.984369578019572e-6 / (z - 7.0)) + (1.5056327351493116e-7 / (z - 8.0))) - (46.9507597606837 - ((771.3234287776531 / (z - 3.0)) - 0.9999999999998099)))));
} else {
tmp = (t_1 * (pow((7.5 - z), (0.5 - z)) * exp((z + -7.5)))) * (t_0 * ((t_2 + ((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z)))) + (((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + (((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z))) + (0.9999999999998099 + (257.107809592551 + (z * 85.702603197517)))))));
}
return tmp;
}
public static double code(double z) {
double t_0 = Math.PI / Math.sin((z * Math.PI));
double t_1 = Math.sqrt((Math.PI * 2.0));
double t_2 = -0.13857109526572012 / (6.0 - z);
double tmp;
if (z <= -1.4) {
tmp = (t_1 * Math.exp(((z + ((0.5 - z) * Math.log((7.5 - z)))) - 7.5))) * (t_0 * ((t_2 + -41.65228863479777) - (((9.984369578019572e-6 / (z - 7.0)) + (1.5056327351493116e-7 / (z - 8.0))) - (46.9507597606837 - ((771.3234287776531 / (z - 3.0)) - 0.9999999999998099)))));
} else {
tmp = (t_1 * (Math.pow((7.5 - z), (0.5 - z)) * Math.exp((z + -7.5)))) * (t_0 * ((t_2 + ((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z)))) + (((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + (((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z))) + (0.9999999999998099 + (257.107809592551 + (z * 85.702603197517)))))));
}
return tmp;
}
def code(z): t_0 = math.pi / math.sin((z * math.pi)) t_1 = math.sqrt((math.pi * 2.0)) t_2 = -0.13857109526572012 / (6.0 - z) tmp = 0 if z <= -1.4: tmp = (t_1 * math.exp(((z + ((0.5 - z) * math.log((7.5 - z)))) - 7.5))) * (t_0 * ((t_2 + -41.65228863479777) - (((9.984369578019572e-6 / (z - 7.0)) + (1.5056327351493116e-7 / (z - 8.0))) - (46.9507597606837 - ((771.3234287776531 / (z - 3.0)) - 0.9999999999998099))))) else: tmp = (t_1 * (math.pow((7.5 - z), (0.5 - z)) * math.exp((z + -7.5)))) * (t_0 * ((t_2 + ((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z)))) + (((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + (((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z))) + (0.9999999999998099 + (257.107809592551 + (z * 85.702603197517))))))) return tmp
function code(z) t_0 = Float64(pi / sin(Float64(z * pi))) t_1 = sqrt(Float64(pi * 2.0)) t_2 = Float64(-0.13857109526572012 / Float64(6.0 - z)) tmp = 0.0 if (z <= -1.4) tmp = Float64(Float64(t_1 * exp(Float64(Float64(z + Float64(Float64(0.5 - z) * log(Float64(7.5 - z)))) - 7.5))) * Float64(t_0 * Float64(Float64(t_2 + -41.65228863479777) - Float64(Float64(Float64(9.984369578019572e-6 / Float64(z - 7.0)) + Float64(1.5056327351493116e-7 / Float64(z - 8.0))) - Float64(46.9507597606837 - Float64(Float64(771.3234287776531 / Float64(z - 3.0)) - 0.9999999999998099)))))); else tmp = Float64(Float64(t_1 * Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * exp(Float64(z + -7.5)))) * Float64(t_0 * Float64(Float64(t_2 + Float64(Float64(-176.6150291621406 / Float64(4.0 - z)) + Float64(12.507343278686905 / Float64(5.0 - z)))) + 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(257.107809592551 + Float64(z * 85.702603197517)))))))); end return tmp end
function tmp_2 = code(z) t_0 = pi / sin((z * pi)); t_1 = sqrt((pi * 2.0)); t_2 = -0.13857109526572012 / (6.0 - z); tmp = 0.0; if (z <= -1.4) tmp = (t_1 * exp(((z + ((0.5 - z) * log((7.5 - z)))) - 7.5))) * (t_0 * ((t_2 + -41.65228863479777) - (((9.984369578019572e-6 / (z - 7.0)) + (1.5056327351493116e-7 / (z - 8.0))) - (46.9507597606837 - ((771.3234287776531 / (z - 3.0)) - 0.9999999999998099))))); else tmp = (t_1 * (((7.5 - z) ^ (0.5 - z)) * exp((z + -7.5)))) * (t_0 * ((t_2 + ((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z)))) + (((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + (((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z))) + (0.9999999999998099 + (257.107809592551 + (z * 85.702603197517))))))); end tmp_2 = tmp; end
code[z_] := Block[{t$95$0 = N[(Pi / N[Sin[N[(z * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(-0.13857109526572012 / N[(6.0 - z), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[z, -1.4], N[(N[(t$95$1 * N[Exp[N[(N[(z + N[(N[(0.5 - z), $MachinePrecision] * N[Log[N[(7.5 - z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(t$95$0 * N[(N[(t$95$2 + -41.65228863479777), $MachinePrecision] - N[(N[(N[(9.984369578019572e-6 / N[(z - 7.0), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(z - 8.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(46.9507597606837 - N[(N[(771.3234287776531 / N[(z - 3.0), $MachinePrecision]), $MachinePrecision] - 0.9999999999998099), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $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$0 * N[(N[(t$95$2 + N[(N[(-176.6150291621406 / N[(4.0 - z), $MachinePrecision]), $MachinePrecision] + N[(12.507343278686905 / N[(5.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(9.984369578019572e-6 / N[(7.0 - z), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(8.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.9999999999998099 + N[(257.107809592551 + N[(z * 85.702603197517), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\pi}{\sin \left(z \cdot \pi\right)}\\
t_1 := \sqrt{\pi \cdot 2}\\
t_2 := \frac{-0.13857109526572012}{6 - z}\\
\mathbf{if}\;z \leq -1.4:\\
\;\;\;\;\left(t\_1 \cdot e^{\left(z + \left(0.5 - z\right) \cdot \log \left(7.5 - z\right)\right) - 7.5}\right) \cdot \left(t\_0 \cdot \left(\left(t\_2 + -41.65228863479777\right) - \left(\left(\frac{9.984369578019572 \cdot 10^{-6}}{z - 7} + \frac{1.5056327351493116 \cdot 10^{-7}}{z - 8}\right) - \left(46.9507597606837 - \left(\frac{771.3234287776531}{z - 3} - 0.9999999999998099\right)\right)\right)\right)\right)\\
\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\_0 \cdot \left(\left(t\_2 + \left(\frac{-176.6150291621406}{4 - z} + \frac{12.507343278686905}{5 - z}\right)\right) + \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 + \left(257.107809592551 + z \cdot 85.702603197517\right)\right)\right)\right)\right)\right)\\
\end{array}
\end{array}
if z < -1.3999999999999999Initial program 0.0%
Simplified0.0%
Taylor expanded in z around 0 0.0%
Taylor expanded in z around 0 0.0%
add-exp-log0.0%
*-commutative0.0%
log-prod0.0%
add-log-exp100.0%
log-pow100.0%
neg-mul-1100.0%
fma-define100.0%
Applied egg-rr100.0%
Taylor expanded in z around inf 100.0%
if -1.3999999999999999 < z Initial program 97.3%
Simplified97.4%
Taylor expanded in z around 0 97.9%
*-commutative97.9%
Simplified97.9%
Final simplification97.9%
(FPCore (z)
:precision binary64
(if (<= z -0.62)
(*
(* (sqrt (* PI 2.0)) (exp (- (+ z (* (- 0.5 z) (log (- 7.5 z)))) 7.5)))
(*
(/ PI (sin (* z PI)))
(-
(+ (/ -0.13857109526572012 (- 6.0 z)) -41.65228863479777)
(-
(+
(/ 9.984369578019572e-6 (- z 7.0))
(/ 1.5056327351493116e-7 (- z 8.0)))
(-
46.9507597606837
(- (/ 771.3234287776531 (- z 3.0)) 0.9999999999998099))))))
(*
(sqrt PI)
(* (* 263.3831869810514 (exp -7.5)) (* (sqrt 7.5) (/ (sqrt 2.0) z))))))
double code(double z) {
double tmp;
if (z <= -0.62) {
tmp = (sqrt((((double) M_PI) * 2.0)) * exp(((z + ((0.5 - z) * log((7.5 - z)))) - 7.5))) * ((((double) M_PI) / sin((z * ((double) M_PI)))) * (((-0.13857109526572012 / (6.0 - z)) + -41.65228863479777) - (((9.984369578019572e-6 / (z - 7.0)) + (1.5056327351493116e-7 / (z - 8.0))) - (46.9507597606837 - ((771.3234287776531 / (z - 3.0)) - 0.9999999999998099)))));
} else {
tmp = sqrt(((double) M_PI)) * ((263.3831869810514 * exp(-7.5)) * (sqrt(7.5) * (sqrt(2.0) / z)));
}
return tmp;
}
public static double code(double z) {
double tmp;
if (z <= -0.62) {
tmp = (Math.sqrt((Math.PI * 2.0)) * Math.exp(((z + ((0.5 - z) * Math.log((7.5 - z)))) - 7.5))) * ((Math.PI / Math.sin((z * Math.PI))) * (((-0.13857109526572012 / (6.0 - z)) + -41.65228863479777) - (((9.984369578019572e-6 / (z - 7.0)) + (1.5056327351493116e-7 / (z - 8.0))) - (46.9507597606837 - ((771.3234287776531 / (z - 3.0)) - 0.9999999999998099)))));
} else {
tmp = Math.sqrt(Math.PI) * ((263.3831869810514 * Math.exp(-7.5)) * (Math.sqrt(7.5) * (Math.sqrt(2.0) / z)));
}
return tmp;
}
def code(z): tmp = 0 if z <= -0.62: tmp = (math.sqrt((math.pi * 2.0)) * math.exp(((z + ((0.5 - z) * math.log((7.5 - z)))) - 7.5))) * ((math.pi / math.sin((z * math.pi))) * (((-0.13857109526572012 / (6.0 - z)) + -41.65228863479777) - (((9.984369578019572e-6 / (z - 7.0)) + (1.5056327351493116e-7 / (z - 8.0))) - (46.9507597606837 - ((771.3234287776531 / (z - 3.0)) - 0.9999999999998099))))) else: tmp = math.sqrt(math.pi) * ((263.3831869810514 * math.exp(-7.5)) * (math.sqrt(7.5) * (math.sqrt(2.0) / z))) return tmp
function code(z) tmp = 0.0 if (z <= -0.62) tmp = Float64(Float64(sqrt(Float64(pi * 2.0)) * exp(Float64(Float64(z + Float64(Float64(0.5 - z) * log(Float64(7.5 - z)))) - 7.5))) * Float64(Float64(pi / sin(Float64(z * pi))) * Float64(Float64(Float64(-0.13857109526572012 / Float64(6.0 - z)) + -41.65228863479777) - Float64(Float64(Float64(9.984369578019572e-6 / Float64(z - 7.0)) + Float64(1.5056327351493116e-7 / Float64(z - 8.0))) - Float64(46.9507597606837 - Float64(Float64(771.3234287776531 / Float64(z - 3.0)) - 0.9999999999998099)))))); else tmp = Float64(sqrt(pi) * Float64(Float64(263.3831869810514 * exp(-7.5)) * Float64(sqrt(7.5) * Float64(sqrt(2.0) / z)))); end return tmp end
function tmp_2 = code(z) tmp = 0.0; if (z <= -0.62) tmp = (sqrt((pi * 2.0)) * exp(((z + ((0.5 - z) * log((7.5 - z)))) - 7.5))) * ((pi / sin((z * pi))) * (((-0.13857109526572012 / (6.0 - z)) + -41.65228863479777) - (((9.984369578019572e-6 / (z - 7.0)) + (1.5056327351493116e-7 / (z - 8.0))) - (46.9507597606837 - ((771.3234287776531 / (z - 3.0)) - 0.9999999999998099))))); else tmp = sqrt(pi) * ((263.3831869810514 * exp(-7.5)) * (sqrt(7.5) * (sqrt(2.0) / z))); end tmp_2 = tmp; end
code[z_] := If[LessEqual[z, -0.62], N[(N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(N[(z + N[(N[(0.5 - z), $MachinePrecision] * N[Log[N[(7.5 - z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(Pi / N[Sin[N[(z * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(-0.13857109526572012 / N[(6.0 - z), $MachinePrecision]), $MachinePrecision] + -41.65228863479777), $MachinePrecision] - N[(N[(N[(9.984369578019572e-6 / N[(z - 7.0), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(z - 8.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(46.9507597606837 - N[(N[(771.3234287776531 / N[(z - 3.0), $MachinePrecision]), $MachinePrecision] - 0.9999999999998099), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Sqrt[Pi], $MachinePrecision] * N[(N[(263.3831869810514 * N[Exp[-7.5], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[7.5], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;z \leq -0.62:\\
\;\;\;\;\left(\sqrt{\pi \cdot 2} \cdot e^{\left(z + \left(0.5 - z\right) \cdot \log \left(7.5 - z\right)\right) - 7.5}\right) \cdot \left(\frac{\pi}{\sin \left(z \cdot \pi\right)} \cdot \left(\left(\frac{-0.13857109526572012}{6 - z} + -41.65228863479777\right) - \left(\left(\frac{9.984369578019572 \cdot 10^{-6}}{z - 7} + \frac{1.5056327351493116 \cdot 10^{-7}}{z - 8}\right) - \left(46.9507597606837 - \left(\frac{771.3234287776531}{z - 3} - 0.9999999999998099\right)\right)\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\sqrt{\pi} \cdot \left(\left(263.3831869810514 \cdot e^{-7.5}\right) \cdot \left(\sqrt{7.5} \cdot \frac{\sqrt{2}}{z}\right)\right)\\
\end{array}
\end{array}
if z < -0.619999999999999996Initial program 16.1%
Simplified16.3%
Taylor expanded in z around 0 3.0%
Taylor expanded in z around 0 3.0%
add-exp-log16.4%
*-commutative16.4%
log-prod16.4%
add-log-exp99.7%
log-pow99.7%
neg-mul-199.7%
fma-define99.7%
Applied egg-rr86.4%
Taylor expanded in z around inf 86.4%
if -0.619999999999999996 < z Initial program 97.3%
Simplified97.4%
Taylor expanded in z around 0 95.5%
Taylor expanded in z around 0 95.5%
Taylor expanded in z around 0 96.4%
Taylor expanded in z around 0 97.2%
associate-*r*97.2%
*-commutative97.2%
associate-/l*97.4%
associate-*r*97.2%
*-commutative97.2%
associate-/l*97.5%
Simplified97.5%
Final simplification97.2%
(FPCore (z) :precision binary64 (* 263.3831869810514 (* (sqrt PI) (/ (* (sqrt 7.5) (* (exp -7.5) (sqrt 2.0))) z))))
double code(double z) {
return 263.3831869810514 * (sqrt(((double) M_PI)) * ((sqrt(7.5) * (exp(-7.5) * sqrt(2.0))) / z));
}
public static double code(double z) {
return 263.3831869810514 * (Math.sqrt(Math.PI) * ((Math.sqrt(7.5) * (Math.exp(-7.5) * Math.sqrt(2.0))) / z));
}
def code(z): return 263.3831869810514 * (math.sqrt(math.pi) * ((math.sqrt(7.5) * (math.exp(-7.5) * math.sqrt(2.0))) / z))
function code(z) return Float64(263.3831869810514 * Float64(sqrt(pi) * Float64(Float64(sqrt(7.5) * Float64(exp(-7.5) * sqrt(2.0))) / z))) end
function tmp = code(z) tmp = 263.3831869810514 * (sqrt(pi) * ((sqrt(7.5) * (exp(-7.5) * sqrt(2.0))) / z)); end
code[z_] := N[(263.3831869810514 * N[(N[Sqrt[Pi], $MachinePrecision] * N[(N[(N[Sqrt[7.5], $MachinePrecision] * N[(N[Exp[-7.5], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
263.3831869810514 \cdot \left(\sqrt{\pi} \cdot \frac{\sqrt{7.5} \cdot \left(e^{-7.5} \cdot \sqrt{2}\right)}{z}\right)
\end{array}
Initial program 95.4%
Simplified95.5%
Taylor expanded in z around 0 93.4%
Taylor expanded in z around 0 93.4%
Taylor expanded in z around 0 94.3%
Taylor expanded in z around 0 95.1%
associate-*r*95.1%
Simplified95.1%
Final simplification95.1%
(FPCore (z) :precision binary64 (* (sqrt PI) (* (* 263.3831869810514 (exp -7.5)) (* (sqrt 7.5) (/ (sqrt 2.0) z)))))
double code(double z) {
return sqrt(((double) M_PI)) * ((263.3831869810514 * exp(-7.5)) * (sqrt(7.5) * (sqrt(2.0) / z)));
}
public static double code(double z) {
return Math.sqrt(Math.PI) * ((263.3831869810514 * Math.exp(-7.5)) * (Math.sqrt(7.5) * (Math.sqrt(2.0) / z)));
}
def code(z): return math.sqrt(math.pi) * ((263.3831869810514 * math.exp(-7.5)) * (math.sqrt(7.5) * (math.sqrt(2.0) / z)))
function code(z) return Float64(sqrt(pi) * Float64(Float64(263.3831869810514 * exp(-7.5)) * Float64(sqrt(7.5) * Float64(sqrt(2.0) / z)))) end
function tmp = code(z) tmp = sqrt(pi) * ((263.3831869810514 * exp(-7.5)) * (sqrt(7.5) * (sqrt(2.0) / z))); end
code[z_] := N[(N[Sqrt[Pi], $MachinePrecision] * N[(N[(263.3831869810514 * N[Exp[-7.5], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[7.5], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt{\pi} \cdot \left(\left(263.3831869810514 \cdot e^{-7.5}\right) \cdot \left(\sqrt{7.5} \cdot \frac{\sqrt{2}}{z}\right)\right)
\end{array}
Initial program 95.4%
Simplified95.5%
Taylor expanded in z around 0 93.4%
Taylor expanded in z around 0 93.4%
Taylor expanded in z around 0 94.3%
Taylor expanded in z around 0 95.1%
associate-*r*95.0%
*-commutative95.0%
associate-/l*95.2%
associate-*r*95.1%
*-commutative95.1%
associate-/l*95.3%
Simplified95.3%
Final simplification95.3%
(FPCore (z) :precision binary64 (* (* (sqrt (* PI 2.0)) (* (pow (- 7.5 z) (- 0.5 z)) (exp (+ z -7.5)))) (/ 263.3831869810514 z)))
double code(double z) {
return (sqrt((((double) M_PI) * 2.0)) * (pow((7.5 - z), (0.5 - z)) * exp((z + -7.5)))) * (263.3831869810514 / 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)))) * (263.3831869810514 / z);
}
def code(z): return (math.sqrt((math.pi * 2.0)) * (math.pow((7.5 - z), (0.5 - z)) * math.exp((z + -7.5)))) * (263.3831869810514 / 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(263.3831869810514 / z)) end
function tmp = code(z) tmp = (sqrt((pi * 2.0)) * (((7.5 - z) ^ (0.5 - z)) * exp((z + -7.5)))) * (263.3831869810514 / 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[(263.3831869810514 / z), $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 \frac{263.3831869810514}{z}
\end{array}
Initial program 95.4%
Simplified95.5%
Taylor expanded in z around 0 93.4%
Taylor expanded in z around 0 93.4%
Taylor expanded in z around 0 94.3%
Taylor expanded in z around 0 94.4%
Final simplification94.4%
herbie shell --seed 2024053
(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))))))