
(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}
Herbie found 15 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (z)
:precision binary64
(let* ((t_0 (- (- 1.0 z) 1.0)) (t_1 (+ t_0 7.0)) (t_2 (+ t_1 0.5)))
(*
(/ PI (sin (* PI z)))
(*
(* (* (sqrt (* PI 2.0)) (pow t_2 (+ t_0 0.5))) (exp (- t_2)))
(+
(+
(+
(+
(+
(+
(+
(+ 0.9999999999998099 (/ 676.5203681218851 (+ t_0 1.0)))
(/ -1259.1392167224028 (+ t_0 2.0)))
(/ 771.3234287776531 (+ t_0 3.0)))
(/ -176.6150291621406 (+ t_0 4.0)))
(/ 12.507343278686905 (+ t_0 5.0)))
(/ -0.13857109526572012 (+ t_0 6.0)))
(/ 9.984369578019572e-6 t_1))
(/ 1.5056327351493116e-7 (+ t_0 8.0)))))))
double code(double z) {
double t_0 = (1.0 - z) - 1.0;
double t_1 = t_0 + 7.0;
double t_2 = t_1 + 0.5;
return (((double) M_PI) / sin((((double) M_PI) * z))) * (((sqrt((((double) M_PI) * 2.0)) * pow(t_2, (t_0 + 0.5))) * exp(-t_2)) * ((((((((0.9999999999998099 + (676.5203681218851 / (t_0 + 1.0))) + (-1259.1392167224028 / (t_0 + 2.0))) + (771.3234287776531 / (t_0 + 3.0))) + (-176.6150291621406 / (t_0 + 4.0))) + (12.507343278686905 / (t_0 + 5.0))) + (-0.13857109526572012 / (t_0 + 6.0))) + (9.984369578019572e-6 / t_1)) + (1.5056327351493116e-7 / (t_0 + 8.0))));
}
public static double code(double z) {
double t_0 = (1.0 - z) - 1.0;
double t_1 = t_0 + 7.0;
double t_2 = t_1 + 0.5;
return (Math.PI / Math.sin((Math.PI * z))) * (((Math.sqrt((Math.PI * 2.0)) * Math.pow(t_2, (t_0 + 0.5))) * Math.exp(-t_2)) * ((((((((0.9999999999998099 + (676.5203681218851 / (t_0 + 1.0))) + (-1259.1392167224028 / (t_0 + 2.0))) + (771.3234287776531 / (t_0 + 3.0))) + (-176.6150291621406 / (t_0 + 4.0))) + (12.507343278686905 / (t_0 + 5.0))) + (-0.13857109526572012 / (t_0 + 6.0))) + (9.984369578019572e-6 / t_1)) + (1.5056327351493116e-7 / (t_0 + 8.0))));
}
def code(z): t_0 = (1.0 - z) - 1.0 t_1 = t_0 + 7.0 t_2 = t_1 + 0.5 return (math.pi / math.sin((math.pi * z))) * (((math.sqrt((math.pi * 2.0)) * math.pow(t_2, (t_0 + 0.5))) * math.exp(-t_2)) * ((((((((0.9999999999998099 + (676.5203681218851 / (t_0 + 1.0))) + (-1259.1392167224028 / (t_0 + 2.0))) + (771.3234287776531 / (t_0 + 3.0))) + (-176.6150291621406 / (t_0 + 4.0))) + (12.507343278686905 / (t_0 + 5.0))) + (-0.13857109526572012 / (t_0 + 6.0))) + (9.984369578019572e-6 / t_1)) + (1.5056327351493116e-7 / (t_0 + 8.0))))
function code(z) t_0 = Float64(Float64(1.0 - z) - 1.0) t_1 = Float64(t_0 + 7.0) t_2 = Float64(t_1 + 0.5) return Float64(Float64(pi / sin(Float64(pi * z))) * Float64(Float64(Float64(sqrt(Float64(pi * 2.0)) * (t_2 ^ Float64(t_0 + 0.5))) * exp(Float64(-t_2))) * Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(0.9999999999998099 + Float64(676.5203681218851 / Float64(t_0 + 1.0))) + Float64(-1259.1392167224028 / Float64(t_0 + 2.0))) + Float64(771.3234287776531 / Float64(t_0 + 3.0))) + Float64(-176.6150291621406 / Float64(t_0 + 4.0))) + Float64(12.507343278686905 / Float64(t_0 + 5.0))) + Float64(-0.13857109526572012 / Float64(t_0 + 6.0))) + Float64(9.984369578019572e-6 / t_1)) + Float64(1.5056327351493116e-7 / Float64(t_0 + 8.0))))) end
function tmp = code(z) t_0 = (1.0 - z) - 1.0; t_1 = t_0 + 7.0; t_2 = t_1 + 0.5; tmp = (pi / sin((pi * z))) * (((sqrt((pi * 2.0)) * (t_2 ^ (t_0 + 0.5))) * exp(-t_2)) * ((((((((0.9999999999998099 + (676.5203681218851 / (t_0 + 1.0))) + (-1259.1392167224028 / (t_0 + 2.0))) + (771.3234287776531 / (t_0 + 3.0))) + (-176.6150291621406 / (t_0 + 4.0))) + (12.507343278686905 / (t_0 + 5.0))) + (-0.13857109526572012 / (t_0 + 6.0))) + (9.984369578019572e-6 / t_1)) + (1.5056327351493116e-7 / (t_0 + 8.0)))); end
code[z_] := Block[{t$95$0 = N[(N[(1.0 - z), $MachinePrecision] - 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(t$95$0 + 7.0), $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 + 0.5), $MachinePrecision]}, N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[Power[t$95$2, N[(t$95$0 + 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Exp[(-t$95$2)], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(N[(N[(N[(N[(0.9999999999998099 + N[(676.5203681218851 / N[(t$95$0 + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-1259.1392167224028 / N[(t$95$0 + 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(771.3234287776531 / N[(t$95$0 + 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-176.6150291621406 / N[(t$95$0 + 4.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(12.507343278686905 / N[(t$95$0 + 5.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(t$95$0 + 6.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(9.984369578019572e-6 / t$95$1), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(t$95$0 + 8.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(1 - z\right) - 1\\
t_1 := t\_0 + 7\\
t_2 := t\_1 + 0.5\\
\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\sqrt{\pi \cdot 2} \cdot {t\_2}^{\left(t\_0 + 0.5\right)}\right) \cdot e^{-t\_2}\right) \cdot \left(\left(\left(\left(\left(\left(\left(\left(0.9999999999998099 + \frac{676.5203681218851}{t\_0 + 1}\right) + \frac{-1259.1392167224028}{t\_0 + 2}\right) + \frac{771.3234287776531}{t\_0 + 3}\right) + \frac{-176.6150291621406}{t\_0 + 4}\right) + \frac{12.507343278686905}{t\_0 + 5}\right) + \frac{-0.13857109526572012}{t\_0 + 6}\right) + \frac{9.984369578019572 \cdot 10^{-6}}{t\_1}\right) + \frac{1.5056327351493116 \cdot 10^{-7}}{t\_0 + 8}\right)\right)
\end{array}
\end{array}
(FPCore (z)
:precision binary64
(let* ((t_0
(* (exp (fma (- 0.5 z) (log (- 7.5 z)) (- z 7.5))) (sqrt (+ PI PI)))))
(if (<= z -1e-14)
(*
(/ PI (sin (* PI z)))
(*
(+
(+
(+
(-
(/ 676.5203681218851 (- 1.0 z))
(-
(/ 1259.1392167224028 (- (- 1.0 z) -1.0))
(-
(/ 771.3234287776531 (- (- 1.0 z) -2.0))
(/ 176.6150291621406 (- (- 1.0 z) -3.0)))))
0.9999999999998099)
(+
(/ 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))))
t_0))
(*
(* (/ PI (sin (* z PI))) t_0)
(fma
(fma (fma 606.6766809167608 z 545.0353078428827) z 436.8961725563396)
z
263.3831869810514)))))
double code(double z) {
double t_0 = exp(fma((0.5 - z), log((7.5 - z)), (z - 7.5))) * sqrt((((double) M_PI) + ((double) M_PI)));
double tmp;
if (z <= -1e-14) {
tmp = (((double) M_PI) / sin((((double) M_PI) * z))) * ((((((676.5203681218851 / (1.0 - z)) - ((1259.1392167224028 / ((1.0 - z) - -1.0)) - ((771.3234287776531 / ((1.0 - z) - -2.0)) - (176.6150291621406 / ((1.0 - z) - -3.0))))) + 0.9999999999998099) + ((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)))) * t_0);
} else {
tmp = ((((double) M_PI) / sin((z * ((double) M_PI)))) * t_0) * fma(fma(fma(606.6766809167608, z, 545.0353078428827), z, 436.8961725563396), z, 263.3831869810514);
}
return tmp;
}
function code(z) t_0 = Float64(exp(fma(Float64(0.5 - z), log(Float64(7.5 - z)), Float64(z - 7.5))) * sqrt(Float64(pi + pi))) tmp = 0.0 if (z <= -1e-14) tmp = Float64(Float64(pi / sin(Float64(pi * z))) * Float64(Float64(Float64(Float64(Float64(Float64(676.5203681218851 / Float64(1.0 - z)) - Float64(Float64(1259.1392167224028 / Float64(Float64(1.0 - z) - -1.0)) - Float64(Float64(771.3234287776531 / Float64(Float64(1.0 - z) - -2.0)) - Float64(176.6150291621406 / Float64(Float64(1.0 - z) - -3.0))))) + 0.9999999999998099) + 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)))) * t_0)); else tmp = Float64(Float64(Float64(pi / sin(Float64(z * pi))) * t_0) * fma(fma(fma(606.6766809167608, z, 545.0353078428827), z, 436.8961725563396), z, 263.3831869810514)); end return tmp end
code[z_] := Block[{t$95$0 = N[(N[Exp[N[(N[(0.5 - z), $MachinePrecision] * N[Log[N[(7.5 - z), $MachinePrecision]], $MachinePrecision] + N[(z - 7.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[Sqrt[N[(Pi + Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[z, -1e-14], N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] - N[(N[(1259.1392167224028 / N[(N[(1.0 - z), $MachinePrecision] - -1.0), $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]), $MachinePrecision] + 0.9999999999998099), $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] * t$95$0), $MachinePrecision]), $MachinePrecision], N[(N[(N[(Pi / N[Sin[N[(z * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * N[(N[(N[(606.6766809167608 * z + 545.0353078428827), $MachinePrecision] * z + 436.8961725563396), $MachinePrecision] * z + 263.3831869810514), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := e^{\mathsf{fma}\left(0.5 - z, \log \left(7.5 - z\right), z - 7.5\right)} \cdot \sqrt{\pi + \pi}\\
\mathbf{if}\;z \leq -1 \cdot 10^{-14}:\\
\;\;\;\;\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\left(\left(\frac{676.5203681218851}{1 - z} - \left(\frac{1259.1392167224028}{\left(1 - z\right) - -1} - \left(\frac{771.3234287776531}{\left(1 - z\right) - -2} - \frac{176.6150291621406}{\left(1 - z\right) - -3}\right)\right)\right) + 0.9999999999998099\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) \cdot t\_0\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\frac{\pi}{\sin \left(z \cdot \pi\right)} \cdot t\_0\right) \cdot \mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(606.6766809167608, z, 545.0353078428827\right), z, 436.8961725563396\right), z, 263.3831869810514\right)\\
\end{array}
\end{array}
if z < -9.99999999999999999e-15Initial program 96.2%
Applied rewrites98.1%
Taylor expanded in z around inf
lower-*.f64N/A
lower-exp.f64N/A
lower-*.f64N/A
lower-log.f64N/A
lower--.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-exp.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower-PI.f6498.1
Applied rewrites98.1%
Applied rewrites96.9%
if -9.99999999999999999e-15 < z Initial program 96.2%
Taylor expanded in z around 0
lower-+.f64N/A
lower-*.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lower-+.f64N/A
lower-*.f6496.3
Applied rewrites96.3%
Taylor expanded in z around inf
lower-*.f64N/A
lower-exp.f64N/A
lower-*.f64N/A
lower-log.f64N/A
lower--.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-exp.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower-PI.f6496.3
Applied rewrites96.3%
Applied rewrites97.1%
(FPCore (z)
:precision binary64
(let* ((t_0 (- (- 1.0 z) -1.0)) (t_1 (- (- 1.0 z) 1.0)))
(*
(/ PI (sin (* PI z)))
(*
(*
(exp (* (log (- 7.5 z)) (- 0.5 z)))
(* (exp (- z 7.5)) (sqrt (* 2.0 PI))))
(+
(+
(+
(+
(+
0.9999999999998099
(+
(/
(- (* 676.5203681218851 t_0) (* (- 1.0 z) 1259.1392167224028))
(* (- 1.0 z) t_0))
(-
(/ 771.3234287776531 (- (- 1.0 z) -2.0))
(/ 176.6150291621406 (- (- 1.0 z) -3.0)))))
(/ 12.507343278686905 (+ t_1 5.0)))
(/ -0.13857109526572012 (+ t_1 6.0)))
(/ 9.984369578019572e-6 (+ t_1 7.0)))
(/ 1.5056327351493116e-7 (+ t_1 8.0)))))))
double code(double z) {
double t_0 = (1.0 - z) - -1.0;
double t_1 = (1.0 - z) - 1.0;
return (((double) M_PI) / sin((((double) M_PI) * z))) * ((exp((log((7.5 - z)) * (0.5 - z))) * (exp((z - 7.5)) * sqrt((2.0 * ((double) M_PI))))) * (((((0.9999999999998099 + ((((676.5203681218851 * t_0) - ((1.0 - z) * 1259.1392167224028)) / ((1.0 - z) * t_0)) + ((771.3234287776531 / ((1.0 - z) - -2.0)) - (176.6150291621406 / ((1.0 - z) - -3.0))))) + (12.507343278686905 / (t_1 + 5.0))) + (-0.13857109526572012 / (t_1 + 6.0))) + (9.984369578019572e-6 / (t_1 + 7.0))) + (1.5056327351493116e-7 / (t_1 + 8.0))));
}
public static double code(double z) {
double t_0 = (1.0 - z) - -1.0;
double t_1 = (1.0 - z) - 1.0;
return (Math.PI / Math.sin((Math.PI * z))) * ((Math.exp((Math.log((7.5 - z)) * (0.5 - z))) * (Math.exp((z - 7.5)) * Math.sqrt((2.0 * Math.PI)))) * (((((0.9999999999998099 + ((((676.5203681218851 * t_0) - ((1.0 - z) * 1259.1392167224028)) / ((1.0 - z) * t_0)) + ((771.3234287776531 / ((1.0 - z) - -2.0)) - (176.6150291621406 / ((1.0 - z) - -3.0))))) + (12.507343278686905 / (t_1 + 5.0))) + (-0.13857109526572012 / (t_1 + 6.0))) + (9.984369578019572e-6 / (t_1 + 7.0))) + (1.5056327351493116e-7 / (t_1 + 8.0))));
}
def code(z): t_0 = (1.0 - z) - -1.0 t_1 = (1.0 - z) - 1.0 return (math.pi / math.sin((math.pi * z))) * ((math.exp((math.log((7.5 - z)) * (0.5 - z))) * (math.exp((z - 7.5)) * math.sqrt((2.0 * math.pi)))) * (((((0.9999999999998099 + ((((676.5203681218851 * t_0) - ((1.0 - z) * 1259.1392167224028)) / ((1.0 - z) * t_0)) + ((771.3234287776531 / ((1.0 - z) - -2.0)) - (176.6150291621406 / ((1.0 - z) - -3.0))))) + (12.507343278686905 / (t_1 + 5.0))) + (-0.13857109526572012 / (t_1 + 6.0))) + (9.984369578019572e-6 / (t_1 + 7.0))) + (1.5056327351493116e-7 / (t_1 + 8.0))))
function code(z) t_0 = Float64(Float64(1.0 - z) - -1.0) t_1 = Float64(Float64(1.0 - z) - 1.0) return Float64(Float64(pi / sin(Float64(pi * z))) * Float64(Float64(exp(Float64(log(Float64(7.5 - z)) * Float64(0.5 - z))) * Float64(exp(Float64(z - 7.5)) * sqrt(Float64(2.0 * pi)))) * Float64(Float64(Float64(Float64(Float64(0.9999999999998099 + Float64(Float64(Float64(Float64(676.5203681218851 * t_0) - Float64(Float64(1.0 - z) * 1259.1392167224028)) / Float64(Float64(1.0 - z) * t_0)) + Float64(Float64(771.3234287776531 / Float64(Float64(1.0 - z) - -2.0)) - Float64(176.6150291621406 / Float64(Float64(1.0 - z) - -3.0))))) + Float64(12.507343278686905 / Float64(t_1 + 5.0))) + Float64(-0.13857109526572012 / Float64(t_1 + 6.0))) + Float64(9.984369578019572e-6 / Float64(t_1 + 7.0))) + Float64(1.5056327351493116e-7 / Float64(t_1 + 8.0))))) end
function tmp = code(z) t_0 = (1.0 - z) - -1.0; t_1 = (1.0 - z) - 1.0; tmp = (pi / sin((pi * z))) * ((exp((log((7.5 - z)) * (0.5 - z))) * (exp((z - 7.5)) * sqrt((2.0 * pi)))) * (((((0.9999999999998099 + ((((676.5203681218851 * t_0) - ((1.0 - z) * 1259.1392167224028)) / ((1.0 - z) * t_0)) + ((771.3234287776531 / ((1.0 - z) - -2.0)) - (176.6150291621406 / ((1.0 - z) - -3.0))))) + (12.507343278686905 / (t_1 + 5.0))) + (-0.13857109526572012 / (t_1 + 6.0))) + (9.984369578019572e-6 / (t_1 + 7.0))) + (1.5056327351493116e-7 / (t_1 + 8.0)))); end
code[z_] := Block[{t$95$0 = N[(N[(1.0 - z), $MachinePrecision] - -1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[(1.0 - z), $MachinePrecision] - 1.0), $MachinePrecision]}, N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Exp[N[(N[Log[N[(7.5 - z), $MachinePrecision]], $MachinePrecision] * N[(0.5 - z), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(N[Exp[N[(z - 7.5), $MachinePrecision]], $MachinePrecision] * N[Sqrt[N[(2.0 * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(N[(0.9999999999998099 + N[(N[(N[(N[(676.5203681218851 * t$95$0), $MachinePrecision] - N[(N[(1.0 - z), $MachinePrecision] * 1259.1392167224028), $MachinePrecision]), $MachinePrecision] / N[(N[(1.0 - z), $MachinePrecision] * t$95$0), $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]), $MachinePrecision] + N[(12.507343278686905 / N[(t$95$1 + 5.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(t$95$1 + 6.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(9.984369578019572e-6 / N[(t$95$1 + 7.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(t$95$1 + 8.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(1 - z\right) - -1\\
t_1 := \left(1 - z\right) - 1\\
\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(e^{\log \left(7.5 - z\right) \cdot \left(0.5 - z\right)} \cdot \left(e^{z - 7.5} \cdot \sqrt{2 \cdot \pi}\right)\right) \cdot \left(\left(\left(\left(\left(0.9999999999998099 + \left(\frac{676.5203681218851 \cdot t\_0 - \left(1 - z\right) \cdot 1259.1392167224028}{\left(1 - z\right) \cdot t\_0} + \left(\frac{771.3234287776531}{\left(1 - z\right) - -2} - \frac{176.6150291621406}{\left(1 - z\right) - -3}\right)\right)\right) + \frac{12.507343278686905}{t\_1 + 5}\right) + \frac{-0.13857109526572012}{t\_1 + 6}\right) + \frac{9.984369578019572 \cdot 10^{-6}}{t\_1 + 7}\right) + \frac{1.5056327351493116 \cdot 10^{-7}}{t\_1 + 8}\right)\right)
\end{array}
\end{array}
Initial program 96.2%
Applied rewrites98.1%
Taylor expanded in z around inf
lower-*.f64N/A
lower-exp.f64N/A
lower-*.f64N/A
lower-log.f64N/A
lower--.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-exp.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower-PI.f6498.1
Applied rewrites98.1%
lift--.f64N/A
lift-/.f64N/A
lift-/.f64N/A
frac-subN/A
lower-/.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-*.f64N/A
lower-*.f6498.1
Applied rewrites98.1%
(FPCore (z)
:precision binary64
(let* ((t_0 (- (- 1.0 z) -1.0)))
(*
(/ PI (sin (* PI z)))
(*
(*
(exp (* (log (- 7.5 z)) (- 0.5 z)))
(* (exp (- z 7.5)) (sqrt (* 2.0 PI))))
(+
(/ 1.5056327351493116e-7 (- (- 1.0 z) -7.0))
(+
(/ 9.984369578019572e-6 (- (- 1.0 z) -6.0))
(+
(+
(+
(-
(/ 771.3234287776531 (- (- 1.0 z) -2.0))
(/ 176.6150291621406 (- (- 1.0 z) -3.0)))
(/
(- (* t_0 676.5203681218851) (* 1259.1392167224028 (- 1.0 z)))
(* t_0 (- 1.0 z))))
0.9999999999998099)
(+
(/ 12.507343278686905 (- (- 1.0 z) -4.0))
(/ -0.13857109526572012 (- (- 1.0 z) -5.0))))))))))
double code(double z) {
double t_0 = (1.0 - z) - -1.0;
return (((double) M_PI) / sin((((double) M_PI) * z))) * ((exp((log((7.5 - z)) * (0.5 - z))) * (exp((z - 7.5)) * sqrt((2.0 * ((double) M_PI))))) * ((1.5056327351493116e-7 / ((1.0 - z) - -7.0)) + ((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (((((771.3234287776531 / ((1.0 - z) - -2.0)) - (176.6150291621406 / ((1.0 - z) - -3.0))) + (((t_0 * 676.5203681218851) - (1259.1392167224028 * (1.0 - z))) / (t_0 * (1.0 - z)))) + 0.9999999999998099) + ((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0)))))));
}
public static double code(double z) {
double t_0 = (1.0 - z) - -1.0;
return (Math.PI / Math.sin((Math.PI * z))) * ((Math.exp((Math.log((7.5 - z)) * (0.5 - z))) * (Math.exp((z - 7.5)) * Math.sqrt((2.0 * Math.PI)))) * ((1.5056327351493116e-7 / ((1.0 - z) - -7.0)) + ((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (((((771.3234287776531 / ((1.0 - z) - -2.0)) - (176.6150291621406 / ((1.0 - z) - -3.0))) + (((t_0 * 676.5203681218851) - (1259.1392167224028 * (1.0 - z))) / (t_0 * (1.0 - z)))) + 0.9999999999998099) + ((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0)))))));
}
def code(z): t_0 = (1.0 - z) - -1.0 return (math.pi / math.sin((math.pi * z))) * ((math.exp((math.log((7.5 - z)) * (0.5 - z))) * (math.exp((z - 7.5)) * math.sqrt((2.0 * math.pi)))) * ((1.5056327351493116e-7 / ((1.0 - z) - -7.0)) + ((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (((((771.3234287776531 / ((1.0 - z) - -2.0)) - (176.6150291621406 / ((1.0 - z) - -3.0))) + (((t_0 * 676.5203681218851) - (1259.1392167224028 * (1.0 - z))) / (t_0 * (1.0 - z)))) + 0.9999999999998099) + ((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0)))))))
function code(z) t_0 = Float64(Float64(1.0 - z) - -1.0) return Float64(Float64(pi / sin(Float64(pi * z))) * Float64(Float64(exp(Float64(log(Float64(7.5 - z)) * Float64(0.5 - z))) * Float64(exp(Float64(z - 7.5)) * sqrt(Float64(2.0 * pi)))) * Float64(Float64(1.5056327351493116e-7 / Float64(Float64(1.0 - z) - -7.0)) + Float64(Float64(9.984369578019572e-6 / Float64(Float64(1.0 - z) - -6.0)) + Float64(Float64(Float64(Float64(Float64(771.3234287776531 / Float64(Float64(1.0 - z) - -2.0)) - Float64(176.6150291621406 / Float64(Float64(1.0 - z) - -3.0))) + Float64(Float64(Float64(t_0 * 676.5203681218851) - Float64(1259.1392167224028 * Float64(1.0 - z))) / Float64(t_0 * Float64(1.0 - z)))) + 0.9999999999998099) + Float64(Float64(12.507343278686905 / Float64(Float64(1.0 - z) - -4.0)) + Float64(-0.13857109526572012 / Float64(Float64(1.0 - z) - -5.0)))))))) end
function tmp = code(z) t_0 = (1.0 - z) - -1.0; tmp = (pi / sin((pi * z))) * ((exp((log((7.5 - z)) * (0.5 - z))) * (exp((z - 7.5)) * sqrt((2.0 * pi)))) * ((1.5056327351493116e-7 / ((1.0 - z) - -7.0)) + ((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (((((771.3234287776531 / ((1.0 - z) - -2.0)) - (176.6150291621406 / ((1.0 - z) - -3.0))) + (((t_0 * 676.5203681218851) - (1259.1392167224028 * (1.0 - z))) / (t_0 * (1.0 - z)))) + 0.9999999999998099) + ((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0))))))); end
code[z_] := Block[{t$95$0 = N[(N[(1.0 - z), $MachinePrecision] - -1.0), $MachinePrecision]}, N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Exp[N[(N[Log[N[(7.5 - z), $MachinePrecision]], $MachinePrecision] * N[(0.5 - z), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(N[Exp[N[(z - 7.5), $MachinePrecision]], $MachinePrecision] * N[Sqrt[N[(2.0 * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(1.5056327351493116e-7 / N[(N[(1.0 - z), $MachinePrecision] - -7.0), $MachinePrecision]), $MachinePrecision] + N[(N[(9.984369578019572e-6 / N[(N[(1.0 - z), $MachinePrecision] - -6.0), $MachinePrecision]), $MachinePrecision] + N[(N[(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[(N[(N[(t$95$0 * 676.5203681218851), $MachinePrecision] - N[(1259.1392167224028 * N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(t$95$0 * N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 0.9999999999998099), $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]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(1 - z\right) - -1\\
\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(e^{\log \left(7.5 - z\right) \cdot \left(0.5 - z\right)} \cdot \left(e^{z - 7.5} \cdot \sqrt{2 \cdot \pi}\right)\right) \cdot \left(\frac{1.5056327351493116 \cdot 10^{-7}}{\left(1 - z\right) - -7} + \left(\frac{9.984369578019572 \cdot 10^{-6}}{\left(1 - z\right) - -6} + \left(\left(\left(\left(\frac{771.3234287776531}{\left(1 - z\right) - -2} - \frac{176.6150291621406}{\left(1 - z\right) - -3}\right) + \frac{t\_0 \cdot 676.5203681218851 - 1259.1392167224028 \cdot \left(1 - z\right)}{t\_0 \cdot \left(1 - z\right)}\right) + 0.9999999999998099\right) + \left(\frac{12.507343278686905}{\left(1 - z\right) - -4} + \frac{-0.13857109526572012}{\left(1 - z\right) - -5}\right)\right)\right)\right)\right)
\end{array}
\end{array}
Initial program 96.2%
Applied rewrites98.1%
Taylor expanded in z around inf
lower-*.f64N/A
lower-exp.f64N/A
lower-*.f64N/A
lower-log.f64N/A
lower--.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-exp.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower-PI.f6498.1
Applied rewrites98.1%
lift--.f64N/A
lift-/.f64N/A
lift-/.f64N/A
frac-subN/A
lower-/.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-*.f64N/A
lower-*.f6498.1
Applied rewrites98.1%
Applied rewrites98.1%
(FPCore (z)
:precision binary64
(let* ((t_0 (- (- 1.0 z) 1.0)))
(*
(/ PI (sin (* PI z)))
(*
(*
(exp (* (log (- 7.5 z)) (- 0.5 z)))
(* (exp (- z 7.5)) (sqrt (* 2.0 PI))))
(+
(+
(+
(+
(+
0.9999999999998099
(+
(-
(/ 676.5203681218851 (- 1.0 z))
(/ 1259.1392167224028 (- (- 1.0 z) -1.0)))
(-
(/ 771.3234287776531 (- (- 1.0 z) -2.0))
(/ 176.6150291621406 (- (- 1.0 z) -3.0)))))
(/ 12.507343278686905 (+ t_0 5.0)))
(/ -0.13857109526572012 (+ t_0 6.0)))
(/ 9.984369578019572e-6 (+ t_0 7.0)))
(/ 1.5056327351493116e-7 (+ t_0 8.0)))))))
double code(double z) {
double t_0 = (1.0 - z) - 1.0;
return (((double) M_PI) / sin((((double) M_PI) * z))) * ((exp((log((7.5 - z)) * (0.5 - z))) * (exp((z - 7.5)) * sqrt((2.0 * ((double) M_PI))))) * (((((0.9999999999998099 + (((676.5203681218851 / (1.0 - z)) - (1259.1392167224028 / ((1.0 - z) - -1.0))) + ((771.3234287776531 / ((1.0 - z) - -2.0)) - (176.6150291621406 / ((1.0 - z) - -3.0))))) + (12.507343278686905 / (t_0 + 5.0))) + (-0.13857109526572012 / (t_0 + 6.0))) + (9.984369578019572e-6 / (t_0 + 7.0))) + (1.5056327351493116e-7 / (t_0 + 8.0))));
}
public static double code(double z) {
double t_0 = (1.0 - z) - 1.0;
return (Math.PI / Math.sin((Math.PI * z))) * ((Math.exp((Math.log((7.5 - z)) * (0.5 - z))) * (Math.exp((z - 7.5)) * Math.sqrt((2.0 * Math.PI)))) * (((((0.9999999999998099 + (((676.5203681218851 / (1.0 - z)) - (1259.1392167224028 / ((1.0 - z) - -1.0))) + ((771.3234287776531 / ((1.0 - z) - -2.0)) - (176.6150291621406 / ((1.0 - z) - -3.0))))) + (12.507343278686905 / (t_0 + 5.0))) + (-0.13857109526572012 / (t_0 + 6.0))) + (9.984369578019572e-6 / (t_0 + 7.0))) + (1.5056327351493116e-7 / (t_0 + 8.0))));
}
def code(z): t_0 = (1.0 - z) - 1.0 return (math.pi / math.sin((math.pi * z))) * ((math.exp((math.log((7.5 - z)) * (0.5 - z))) * (math.exp((z - 7.5)) * math.sqrt((2.0 * math.pi)))) * (((((0.9999999999998099 + (((676.5203681218851 / (1.0 - z)) - (1259.1392167224028 / ((1.0 - z) - -1.0))) + ((771.3234287776531 / ((1.0 - z) - -2.0)) - (176.6150291621406 / ((1.0 - z) - -3.0))))) + (12.507343278686905 / (t_0 + 5.0))) + (-0.13857109526572012 / (t_0 + 6.0))) + (9.984369578019572e-6 / (t_0 + 7.0))) + (1.5056327351493116e-7 / (t_0 + 8.0))))
function code(z) t_0 = Float64(Float64(1.0 - z) - 1.0) return Float64(Float64(pi / sin(Float64(pi * z))) * Float64(Float64(exp(Float64(log(Float64(7.5 - z)) * Float64(0.5 - z))) * Float64(exp(Float64(z - 7.5)) * sqrt(Float64(2.0 * pi)))) * Float64(Float64(Float64(Float64(Float64(0.9999999999998099 + Float64(Float64(Float64(676.5203681218851 / Float64(1.0 - z)) - Float64(1259.1392167224028 / Float64(Float64(1.0 - z) - -1.0))) + Float64(Float64(771.3234287776531 / Float64(Float64(1.0 - z) - -2.0)) - Float64(176.6150291621406 / Float64(Float64(1.0 - z) - -3.0))))) + Float64(12.507343278686905 / Float64(t_0 + 5.0))) + Float64(-0.13857109526572012 / Float64(t_0 + 6.0))) + Float64(9.984369578019572e-6 / Float64(t_0 + 7.0))) + Float64(1.5056327351493116e-7 / Float64(t_0 + 8.0))))) end
function tmp = code(z) t_0 = (1.0 - z) - 1.0; tmp = (pi / sin((pi * z))) * ((exp((log((7.5 - z)) * (0.5 - z))) * (exp((z - 7.5)) * sqrt((2.0 * pi)))) * (((((0.9999999999998099 + (((676.5203681218851 / (1.0 - z)) - (1259.1392167224028 / ((1.0 - z) - -1.0))) + ((771.3234287776531 / ((1.0 - z) - -2.0)) - (176.6150291621406 / ((1.0 - z) - -3.0))))) + (12.507343278686905 / (t_0 + 5.0))) + (-0.13857109526572012 / (t_0 + 6.0))) + (9.984369578019572e-6 / (t_0 + 7.0))) + (1.5056327351493116e-7 / (t_0 + 8.0)))); end
code[z_] := Block[{t$95$0 = N[(N[(1.0 - z), $MachinePrecision] - 1.0), $MachinePrecision]}, N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Exp[N[(N[Log[N[(7.5 - z), $MachinePrecision]], $MachinePrecision] * N[(0.5 - z), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(N[Exp[N[(z - 7.5), $MachinePrecision]], $MachinePrecision] * N[Sqrt[N[(2.0 * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(N[(0.9999999999998099 + N[(N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] - N[(1259.1392167224028 / N[(N[(1.0 - z), $MachinePrecision] - -1.0), $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]), $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 / N[(t$95$0 + 7.0), $MachinePrecision]), $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\\
\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(e^{\log \left(7.5 - z\right) \cdot \left(0.5 - z\right)} \cdot \left(e^{z - 7.5} \cdot \sqrt{2 \cdot \pi}\right)\right) \cdot \left(\left(\left(\left(\left(0.9999999999998099 + \left(\left(\frac{676.5203681218851}{1 - z} - \frac{1259.1392167224028}{\left(1 - z\right) - -1}\right) + \left(\frac{771.3234287776531}{\left(1 - z\right) - -2} - \frac{176.6150291621406}{\left(1 - z\right) - -3}\right)\right)\right) + \frac{12.507343278686905}{t\_0 + 5}\right) + \frac{-0.13857109526572012}{t\_0 + 6}\right) + \frac{9.984369578019572 \cdot 10^{-6}}{t\_0 + 7}\right) + \frac{1.5056327351493116 \cdot 10^{-7}}{t\_0 + 8}\right)\right)
\end{array}
\end{array}
Initial program 96.2%
Applied rewrites98.1%
Taylor expanded in z around inf
lower-*.f64N/A
lower-exp.f64N/A
lower-*.f64N/A
lower-log.f64N/A
lower--.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-exp.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower-PI.f6498.1
Applied rewrites98.1%
(FPCore (z)
:precision binary64
(let* ((t_0 (- (- 1.0 z) -7.0)))
(*
(/ PI (sin (* PI z)))
(*
(*
(exp (* (log (- 7.5 z)) (- 0.5 z)))
(* (exp (- z 7.5)) (sqrt (* 2.0 PI))))
(/
(fma
(+
(/ 9.984369578019572e-6 (- (- 1.0 z) -6.0))
(+
(+
(-
(/ 676.5203681218851 (- 1.0 z))
(-
(/ 1259.1392167224028 (- (- 1.0 z) -1.0))
(-
(/ 771.3234287776531 (- (- 1.0 z) -2.0))
(/ 176.6150291621406 (- (- 1.0 z) -3.0)))))
0.9999999999998099)
(+
(/ 12.507343278686905 (- (- 1.0 z) -4.0))
(/ -0.13857109526572012 (- (- 1.0 z) -5.0)))))
t_0
1.5056327351493116e-7)
t_0)))))
double code(double z) {
double t_0 = (1.0 - z) - -7.0;
return (((double) M_PI) / sin((((double) M_PI) * z))) * ((exp((log((7.5 - z)) * (0.5 - z))) * (exp((z - 7.5)) * sqrt((2.0 * ((double) M_PI))))) * (fma(((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + ((((676.5203681218851 / (1.0 - z)) - ((1259.1392167224028 / ((1.0 - z) - -1.0)) - ((771.3234287776531 / ((1.0 - z) - -2.0)) - (176.6150291621406 / ((1.0 - z) - -3.0))))) + 0.9999999999998099) + ((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0))))), t_0, 1.5056327351493116e-7) / t_0));
}
function code(z) t_0 = Float64(Float64(1.0 - z) - -7.0) return Float64(Float64(pi / sin(Float64(pi * z))) * Float64(Float64(exp(Float64(log(Float64(7.5 - z)) * Float64(0.5 - z))) * Float64(exp(Float64(z - 7.5)) * sqrt(Float64(2.0 * pi)))) * Float64(fma(Float64(Float64(9.984369578019572e-6 / Float64(Float64(1.0 - z) - -6.0)) + Float64(Float64(Float64(Float64(676.5203681218851 / Float64(1.0 - z)) - Float64(Float64(1259.1392167224028 / Float64(Float64(1.0 - z) - -1.0)) - Float64(Float64(771.3234287776531 / Float64(Float64(1.0 - z) - -2.0)) - Float64(176.6150291621406 / Float64(Float64(1.0 - z) - -3.0))))) + 0.9999999999998099) + Float64(Float64(12.507343278686905 / Float64(Float64(1.0 - z) - -4.0)) + Float64(-0.13857109526572012 / Float64(Float64(1.0 - z) - -5.0))))), t_0, 1.5056327351493116e-7) / t_0))) end
code[z_] := Block[{t$95$0 = N[(N[(1.0 - z), $MachinePrecision] - -7.0), $MachinePrecision]}, N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Exp[N[(N[Log[N[(7.5 - z), $MachinePrecision]], $MachinePrecision] * N[(0.5 - z), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(N[Exp[N[(z - 7.5), $MachinePrecision]], $MachinePrecision] * N[Sqrt[N[(2.0 * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(9.984369578019572e-6 / N[(N[(1.0 - z), $MachinePrecision] - -6.0), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] - N[(N[(1259.1392167224028 / N[(N[(1.0 - z), $MachinePrecision] - -1.0), $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]), $MachinePrecision] + 0.9999999999998099), $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]), $MachinePrecision] * t$95$0 + 1.5056327351493116e-7), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(1 - z\right) - -7\\
\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(e^{\log \left(7.5 - z\right) \cdot \left(0.5 - z\right)} \cdot \left(e^{z - 7.5} \cdot \sqrt{2 \cdot \pi}\right)\right) \cdot \frac{\mathsf{fma}\left(\frac{9.984369578019572 \cdot 10^{-6}}{\left(1 - z\right) - -6} + \left(\left(\left(\frac{676.5203681218851}{1 - z} - \left(\frac{1259.1392167224028}{\left(1 - z\right) - -1} - \left(\frac{771.3234287776531}{\left(1 - z\right) - -2} - \frac{176.6150291621406}{\left(1 - z\right) - -3}\right)\right)\right) + 0.9999999999998099\right) + \left(\frac{12.507343278686905}{\left(1 - z\right) - -4} + \frac{-0.13857109526572012}{\left(1 - z\right) - -5}\right)\right), t\_0, 1.5056327351493116 \cdot 10^{-7}\right)}{t\_0}\right)
\end{array}
\end{array}
Initial program 96.2%
Applied rewrites98.1%
Taylor expanded in z around inf
lower-*.f64N/A
lower-exp.f64N/A
lower-*.f64N/A
lower-log.f64N/A
lower--.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-exp.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower-PI.f6498.1
Applied rewrites98.1%
Applied rewrites98.1%
(FPCore (z)
:precision binary64
(*
(/ PI (sin (* PI z)))
(*
(*
(exp (* (log (- 7.5 z)) (- 0.5 z)))
(* (exp (- z 7.5)) (sqrt (* 2.0 PI))))
(+
(/ 1.5056327351493116e-7 (- (- 1.0 z) -7.0))
(+
(/ 9.984369578019572e-6 (- (- 1.0 z) -6.0))
(+
(+
(-
(/ 676.5203681218851 (- 1.0 z))
(-
(/ 1259.1392167224028 (- (- 1.0 z) -1.0))
(-
(/ 771.3234287776531 (- (- 1.0 z) -2.0))
(/ 176.6150291621406 (- (- 1.0 z) -3.0)))))
0.9999999999998099)
(+
(/ 12.507343278686905 (- (- 1.0 z) -4.0))
(/ -0.13857109526572012 (- (- 1.0 z) -5.0)))))))))
double code(double z) {
return (((double) M_PI) / sin((((double) M_PI) * z))) * ((exp((log((7.5 - z)) * (0.5 - z))) * (exp((z - 7.5)) * sqrt((2.0 * ((double) M_PI))))) * ((1.5056327351493116e-7 / ((1.0 - z) - -7.0)) + ((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + ((((676.5203681218851 / (1.0 - z)) - ((1259.1392167224028 / ((1.0 - z) - -1.0)) - ((771.3234287776531 / ((1.0 - z) - -2.0)) - (176.6150291621406 / ((1.0 - z) - -3.0))))) + 0.9999999999998099) + ((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0)))))));
}
public static double code(double z) {
return (Math.PI / Math.sin((Math.PI * z))) * ((Math.exp((Math.log((7.5 - z)) * (0.5 - z))) * (Math.exp((z - 7.5)) * Math.sqrt((2.0 * Math.PI)))) * ((1.5056327351493116e-7 / ((1.0 - z) - -7.0)) + ((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + ((((676.5203681218851 / (1.0 - z)) - ((1259.1392167224028 / ((1.0 - z) - -1.0)) - ((771.3234287776531 / ((1.0 - z) - -2.0)) - (176.6150291621406 / ((1.0 - z) - -3.0))))) + 0.9999999999998099) + ((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0)))))));
}
def code(z): return (math.pi / math.sin((math.pi * z))) * ((math.exp((math.log((7.5 - z)) * (0.5 - z))) * (math.exp((z - 7.5)) * math.sqrt((2.0 * math.pi)))) * ((1.5056327351493116e-7 / ((1.0 - z) - -7.0)) + ((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + ((((676.5203681218851 / (1.0 - z)) - ((1259.1392167224028 / ((1.0 - z) - -1.0)) - ((771.3234287776531 / ((1.0 - z) - -2.0)) - (176.6150291621406 / ((1.0 - z) - -3.0))))) + 0.9999999999998099) + ((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0)))))))
function code(z) return Float64(Float64(pi / sin(Float64(pi * z))) * Float64(Float64(exp(Float64(log(Float64(7.5 - z)) * Float64(0.5 - z))) * Float64(exp(Float64(z - 7.5)) * sqrt(Float64(2.0 * pi)))) * Float64(Float64(1.5056327351493116e-7 / Float64(Float64(1.0 - z) - -7.0)) + Float64(Float64(9.984369578019572e-6 / Float64(Float64(1.0 - z) - -6.0)) + Float64(Float64(Float64(Float64(676.5203681218851 / Float64(1.0 - z)) - Float64(Float64(1259.1392167224028 / Float64(Float64(1.0 - z) - -1.0)) - Float64(Float64(771.3234287776531 / Float64(Float64(1.0 - z) - -2.0)) - Float64(176.6150291621406 / Float64(Float64(1.0 - z) - -3.0))))) + 0.9999999999998099) + Float64(Float64(12.507343278686905 / Float64(Float64(1.0 - z) - -4.0)) + Float64(-0.13857109526572012 / Float64(Float64(1.0 - z) - -5.0)))))))) end
function tmp = code(z) tmp = (pi / sin((pi * z))) * ((exp((log((7.5 - z)) * (0.5 - z))) * (exp((z - 7.5)) * sqrt((2.0 * pi)))) * ((1.5056327351493116e-7 / ((1.0 - z) - -7.0)) + ((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + ((((676.5203681218851 / (1.0 - z)) - ((1259.1392167224028 / ((1.0 - z) - -1.0)) - ((771.3234287776531 / ((1.0 - z) - -2.0)) - (176.6150291621406 / ((1.0 - z) - -3.0))))) + 0.9999999999998099) + ((12.507343278686905 / ((1.0 - z) - -4.0)) + (-0.13857109526572012 / ((1.0 - z) - -5.0))))))); end
code[z_] := N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Exp[N[(N[Log[N[(7.5 - z), $MachinePrecision]], $MachinePrecision] * N[(0.5 - z), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(N[Exp[N[(z - 7.5), $MachinePrecision]], $MachinePrecision] * N[Sqrt[N[(2.0 * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(1.5056327351493116e-7 / N[(N[(1.0 - z), $MachinePrecision] - -7.0), $MachinePrecision]), $MachinePrecision] + N[(N[(9.984369578019572e-6 / N[(N[(1.0 - z), $MachinePrecision] - -6.0), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] - N[(N[(1259.1392167224028 / N[(N[(1.0 - z), $MachinePrecision] - -1.0), $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]), $MachinePrecision] + 0.9999999999998099), $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]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(e^{\log \left(7.5 - z\right) \cdot \left(0.5 - z\right)} \cdot \left(e^{z - 7.5} \cdot \sqrt{2 \cdot \pi}\right)\right) \cdot \left(\frac{1.5056327351493116 \cdot 10^{-7}}{\left(1 - z\right) - -7} + \left(\frac{9.984369578019572 \cdot 10^{-6}}{\left(1 - z\right) - -6} + \left(\left(\left(\frac{676.5203681218851}{1 - z} - \left(\frac{1259.1392167224028}{\left(1 - z\right) - -1} - \left(\frac{771.3234287776531}{\left(1 - z\right) - -2} - \frac{176.6150291621406}{\left(1 - z\right) - -3}\right)\right)\right) + 0.9999999999998099\right) + \left(\frac{12.507343278686905}{\left(1 - z\right) - -4} + \frac{-0.13857109526572012}{\left(1 - z\right) - -5}\right)\right)\right)\right)\right)
\end{array}
Initial program 96.2%
Applied rewrites98.1%
Taylor expanded in z around inf
lower-*.f64N/A
lower-exp.f64N/A
lower-*.f64N/A
lower-log.f64N/A
lower--.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-exp.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower-PI.f6498.1
Applied rewrites98.1%
Applied rewrites98.1%
(FPCore (z)
:precision binary64
(let* ((t_0 (- (- 1.0 z) 1.0)))
(*
(/ PI (sin (* PI z)))
(*
(* (exp (fma (- 0.5 z) (log (- 7.5 z)) (- z 7.5))) (sqrt (+ PI PI)))
(+
(+
(+
(+
(+
0.9999999999998099
(+
(-
(/ 676.5203681218851 (- 1.0 z))
(/ 1259.1392167224028 (- (- 1.0 z) -1.0)))
(-
(/ 771.3234287776531 (- (- 1.0 z) -2.0))
(/ 176.6150291621406 (- (- 1.0 z) -3.0)))))
(/ 12.507343278686905 (+ t_0 5.0)))
(/ -0.13857109526572012 (+ t_0 6.0)))
(/ 9.984369578019572e-6 (+ t_0 7.0)))
(/ 1.5056327351493116e-7 (+ t_0 8.0)))))))
double code(double z) {
double t_0 = (1.0 - z) - 1.0;
return (((double) M_PI) / sin((((double) M_PI) * z))) * ((exp(fma((0.5 - z), log((7.5 - z)), (z - 7.5))) * sqrt((((double) M_PI) + ((double) M_PI)))) * (((((0.9999999999998099 + (((676.5203681218851 / (1.0 - z)) - (1259.1392167224028 / ((1.0 - z) - -1.0))) + ((771.3234287776531 / ((1.0 - z) - -2.0)) - (176.6150291621406 / ((1.0 - z) - -3.0))))) + (12.507343278686905 / (t_0 + 5.0))) + (-0.13857109526572012 / (t_0 + 6.0))) + (9.984369578019572e-6 / (t_0 + 7.0))) + (1.5056327351493116e-7 / (t_0 + 8.0))));
}
function code(z) t_0 = Float64(Float64(1.0 - z) - 1.0) return Float64(Float64(pi / sin(Float64(pi * z))) * Float64(Float64(exp(fma(Float64(0.5 - z), log(Float64(7.5 - z)), Float64(z - 7.5))) * sqrt(Float64(pi + pi))) * Float64(Float64(Float64(Float64(Float64(0.9999999999998099 + Float64(Float64(Float64(676.5203681218851 / Float64(1.0 - z)) - Float64(1259.1392167224028 / Float64(Float64(1.0 - z) - -1.0))) + Float64(Float64(771.3234287776531 / Float64(Float64(1.0 - z) - -2.0)) - Float64(176.6150291621406 / Float64(Float64(1.0 - z) - -3.0))))) + Float64(12.507343278686905 / Float64(t_0 + 5.0))) + Float64(-0.13857109526572012 / Float64(t_0 + 6.0))) + Float64(9.984369578019572e-6 / Float64(t_0 + 7.0))) + Float64(1.5056327351493116e-7 / Float64(t_0 + 8.0))))) end
code[z_] := Block[{t$95$0 = N[(N[(1.0 - z), $MachinePrecision] - 1.0), $MachinePrecision]}, N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Exp[N[(N[(0.5 - z), $MachinePrecision] * N[Log[N[(7.5 - z), $MachinePrecision]], $MachinePrecision] + N[(z - 7.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[Sqrt[N[(Pi + Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(N[(0.9999999999998099 + N[(N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] - N[(1259.1392167224028 / N[(N[(1.0 - z), $MachinePrecision] - -1.0), $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]), $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 / N[(t$95$0 + 7.0), $MachinePrecision]), $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\\
\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(e^{\mathsf{fma}\left(0.5 - z, \log \left(7.5 - z\right), z - 7.5\right)} \cdot \sqrt{\pi + \pi}\right) \cdot \left(\left(\left(\left(\left(0.9999999999998099 + \left(\left(\frac{676.5203681218851}{1 - z} - \frac{1259.1392167224028}{\left(1 - z\right) - -1}\right) + \left(\frac{771.3234287776531}{\left(1 - z\right) - -2} - \frac{176.6150291621406}{\left(1 - z\right) - -3}\right)\right)\right) + \frac{12.507343278686905}{t\_0 + 5}\right) + \frac{-0.13857109526572012}{t\_0 + 6}\right) + \frac{9.984369578019572 \cdot 10^{-6}}{t\_0 + 7}\right) + \frac{1.5056327351493116 \cdot 10^{-7}}{t\_0 + 8}\right)\right)
\end{array}
\end{array}
Initial program 96.2%
Applied rewrites98.1%
Taylor expanded in z around inf
lower-*.f64N/A
lower-exp.f64N/A
lower-*.f64N/A
lower-log.f64N/A
lower--.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-exp.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower-PI.f6498.1
Applied rewrites98.1%
lift-*.f64N/A
lift-*.f64N/A
associate-*r*N/A
lower-*.f64N/A
lift-exp.f64N/A
lift-exp.f64N/A
prod-expN/A
lower-exp.f64N/A
lift-*.f64N/A
*-commutativeN/A
lower-fma.f6497.8
lift-*.f64N/A
count-2-revN/A
lift-+.f6497.8
Applied rewrites97.8%
(FPCore (z) :precision binary64 (* (* (/ PI (sin (* z PI))) (* (exp (fma (- 0.5 z) (log (- 7.5 z)) (- z 7.5))) (sqrt (+ PI PI)))) (fma (fma (fma 606.6766809167608 z 545.0353078428827) z 436.8961725563396) z 263.3831869810514)))
double code(double z) {
return ((((double) M_PI) / sin((z * ((double) M_PI)))) * (exp(fma((0.5 - z), log((7.5 - z)), (z - 7.5))) * sqrt((((double) M_PI) + ((double) M_PI))))) * fma(fma(fma(606.6766809167608, z, 545.0353078428827), z, 436.8961725563396), z, 263.3831869810514);
}
function code(z) return Float64(Float64(Float64(pi / sin(Float64(z * pi))) * Float64(exp(fma(Float64(0.5 - z), log(Float64(7.5 - z)), Float64(z - 7.5))) * sqrt(Float64(pi + pi)))) * fma(fma(fma(606.6766809167608, z, 545.0353078428827), z, 436.8961725563396), z, 263.3831869810514)) end
code[z_] := N[(N[(N[(Pi / N[Sin[N[(z * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Exp[N[(N[(0.5 - z), $MachinePrecision] * N[Log[N[(7.5 - z), $MachinePrecision]], $MachinePrecision] + N[(z - 7.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[Sqrt[N[(Pi + Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(606.6766809167608 * z + 545.0353078428827), $MachinePrecision] * z + 436.8961725563396), $MachinePrecision] * z + 263.3831869810514), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{\pi}{\sin \left(z \cdot \pi\right)} \cdot \left(e^{\mathsf{fma}\left(0.5 - z, \log \left(7.5 - z\right), z - 7.5\right)} \cdot \sqrt{\pi + \pi}\right)\right) \cdot \mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(606.6766809167608, z, 545.0353078428827\right), z, 436.8961725563396\right), z, 263.3831869810514\right)
\end{array}
Initial program 96.2%
Taylor expanded in z around 0
lower-+.f64N/A
lower-*.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lower-+.f64N/A
lower-*.f6496.3
Applied rewrites96.3%
Taylor expanded in z around inf
lower-*.f64N/A
lower-exp.f64N/A
lower-*.f64N/A
lower-log.f64N/A
lower--.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-exp.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower-PI.f6496.3
Applied rewrites96.3%
Applied rewrites97.1%
(FPCore (z)
:precision binary64
(let* ((t_0 (- (- 1.0 z) -6.5)))
(*
(*
(* (/ PI (* z PI)) (sqrt (+ PI PI)))
(* (pow t_0 (- (- 1.0 z) 0.5)) (exp (- t_0))))
(fma
(fma (fma 606.6766809167608 z 545.0353078428827) z 436.8961725563396)
z
263.3831869810514))))
double code(double z) {
double t_0 = (1.0 - z) - -6.5;
return (((((double) M_PI) / (z * ((double) M_PI))) * sqrt((((double) M_PI) + ((double) M_PI)))) * (pow(t_0, ((1.0 - z) - 0.5)) * exp(-t_0))) * fma(fma(fma(606.6766809167608, z, 545.0353078428827), z, 436.8961725563396), z, 263.3831869810514);
}
function code(z) t_0 = Float64(Float64(1.0 - z) - -6.5) return Float64(Float64(Float64(Float64(pi / Float64(z * pi)) * sqrt(Float64(pi + pi))) * Float64((t_0 ^ Float64(Float64(1.0 - z) - 0.5)) * exp(Float64(-t_0)))) * fma(fma(fma(606.6766809167608, z, 545.0353078428827), z, 436.8961725563396), z, 263.3831869810514)) end
code[z_] := Block[{t$95$0 = N[(N[(1.0 - z), $MachinePrecision] - -6.5), $MachinePrecision]}, N[(N[(N[(N[(Pi / N[(z * Pi), $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(Pi + Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Power[t$95$0, N[(N[(1.0 - z), $MachinePrecision] - 0.5), $MachinePrecision]], $MachinePrecision] * N[Exp[(-t$95$0)], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(606.6766809167608 * z + 545.0353078428827), $MachinePrecision] * z + 436.8961725563396), $MachinePrecision] * z + 263.3831869810514), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(1 - z\right) - -6.5\\
\left(\left(\frac{\pi}{z \cdot \pi} \cdot \sqrt{\pi + \pi}\right) \cdot \left({t\_0}^{\left(\left(1 - z\right) - 0.5\right)} \cdot e^{-t\_0}\right)\right) \cdot \mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(606.6766809167608, z, 545.0353078428827\right), z, 436.8961725563396\right), z, 263.3831869810514\right)
\end{array}
\end{array}
Initial program 96.2%
Taylor expanded in z around 0
lower-+.f64N/A
lower-*.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lower-+.f64N/A
lower-*.f6496.3
Applied rewrites96.3%
Taylor expanded in z around 0
lower-*.f64N/A
lower-PI.f6495.9
Applied rewrites95.9%
Applied rewrites96.1%
lift-*.f64N/A
lift-*.f64N/A
associate-*r*N/A
lower-*.f64N/A
Applied rewrites96.2%
(FPCore (z)
:precision binary64
(*
(*
(/ PI (* z PI))
(*
(sqrt (+ PI PI))
(* (exp (* (log (- 7.5 z)) (- 0.5 z))) (exp (- z 7.5)))))
(fma
(fma (fma 606.6766809167608 z 545.0353078428827) z 436.8961725563396)
z
263.3831869810514)))
double code(double z) {
return ((((double) M_PI) / (z * ((double) M_PI))) * (sqrt((((double) M_PI) + ((double) M_PI))) * (exp((log((7.5 - z)) * (0.5 - z))) * exp((z - 7.5))))) * fma(fma(fma(606.6766809167608, z, 545.0353078428827), z, 436.8961725563396), z, 263.3831869810514);
}
function code(z) return Float64(Float64(Float64(pi / Float64(z * pi)) * Float64(sqrt(Float64(pi + pi)) * Float64(exp(Float64(log(Float64(7.5 - z)) * Float64(0.5 - z))) * exp(Float64(z - 7.5))))) * fma(fma(fma(606.6766809167608, z, 545.0353078428827), z, 436.8961725563396), z, 263.3831869810514)) end
code[z_] := N[(N[(N[(Pi / N[(z * Pi), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[N[(Pi + Pi), $MachinePrecision]], $MachinePrecision] * N[(N[Exp[N[(N[Log[N[(7.5 - z), $MachinePrecision]], $MachinePrecision] * N[(0.5 - z), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(z - 7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(606.6766809167608 * z + 545.0353078428827), $MachinePrecision] * z + 436.8961725563396), $MachinePrecision] * z + 263.3831869810514), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{\pi}{z \cdot \pi} \cdot \left(\sqrt{\pi + \pi} \cdot \left(e^{\log \left(7.5 - z\right) \cdot \left(0.5 - z\right)} \cdot e^{z - 7.5}\right)\right)\right) \cdot \mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(606.6766809167608, z, 545.0353078428827\right), z, 436.8961725563396\right), z, 263.3831869810514\right)
\end{array}
Initial program 96.2%
Taylor expanded in z around 0
lower-+.f64N/A
lower-*.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lower-+.f64N/A
lower-*.f6496.3
Applied rewrites96.3%
Taylor expanded in z around 0
lower-*.f64N/A
lower-PI.f6495.9
Applied rewrites95.9%
Applied rewrites96.1%
Taylor expanded in z around inf
lower-*.f64N/A
lower-exp.f64N/A
lower-*.f64N/A
lower-log.f64N/A
lower--.f64N/A
lower--.f64N/A
lower-exp.f64N/A
lower--.f6496.1
Applied rewrites96.1%
(FPCore (z)
:precision binary64
(*
(/ 1.0 z)
(*
(*
(exp (* (log (- 7.5 z)) (- 0.5 z)))
(* (exp (- z 7.5)) (sqrt (* 2.0 PI))))
(+
263.3831869810514
(*
z
(+
436.8961725563396
(* z (+ 545.0353078428827 (* 606.6766809167608 z)))))))))
double code(double z) {
return (1.0 / z) * ((exp((log((7.5 - z)) * (0.5 - z))) * (exp((z - 7.5)) * sqrt((2.0 * ((double) M_PI))))) * (263.3831869810514 + (z * (436.8961725563396 + (z * (545.0353078428827 + (606.6766809167608 * z)))))));
}
public static double code(double z) {
return (1.0 / z) * ((Math.exp((Math.log((7.5 - z)) * (0.5 - z))) * (Math.exp((z - 7.5)) * Math.sqrt((2.0 * Math.PI)))) * (263.3831869810514 + (z * (436.8961725563396 + (z * (545.0353078428827 + (606.6766809167608 * z)))))));
}
def code(z): return (1.0 / z) * ((math.exp((math.log((7.5 - z)) * (0.5 - z))) * (math.exp((z - 7.5)) * math.sqrt((2.0 * math.pi)))) * (263.3831869810514 + (z * (436.8961725563396 + (z * (545.0353078428827 + (606.6766809167608 * z)))))))
function code(z) return Float64(Float64(1.0 / z) * Float64(Float64(exp(Float64(log(Float64(7.5 - z)) * Float64(0.5 - z))) * Float64(exp(Float64(z - 7.5)) * sqrt(Float64(2.0 * pi)))) * Float64(263.3831869810514 + Float64(z * Float64(436.8961725563396 + Float64(z * Float64(545.0353078428827 + Float64(606.6766809167608 * z)))))))) end
function tmp = code(z) tmp = (1.0 / z) * ((exp((log((7.5 - z)) * (0.5 - z))) * (exp((z - 7.5)) * sqrt((2.0 * pi)))) * (263.3831869810514 + (z * (436.8961725563396 + (z * (545.0353078428827 + (606.6766809167608 * z))))))); end
code[z_] := N[(N[(1.0 / z), $MachinePrecision] * N[(N[(N[Exp[N[(N[Log[N[(7.5 - z), $MachinePrecision]], $MachinePrecision] * N[(0.5 - z), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(N[Exp[N[(z - 7.5), $MachinePrecision]], $MachinePrecision] * N[Sqrt[N[(2.0 * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(263.3831869810514 + N[(z * N[(436.8961725563396 + N[(z * N[(545.0353078428827 + N[(606.6766809167608 * z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{1}{z} \cdot \left(\left(e^{\log \left(7.5 - z\right) \cdot \left(0.5 - z\right)} \cdot \left(e^{z - 7.5} \cdot \sqrt{2 \cdot \pi}\right)\right) \cdot \left(263.3831869810514 + z \cdot \left(436.8961725563396 + z \cdot \left(545.0353078428827 + 606.6766809167608 \cdot z\right)\right)\right)\right)
\end{array}
Initial program 96.2%
Taylor expanded in z around 0
lower-+.f64N/A
lower-*.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lower-+.f64N/A
lower-*.f6496.3
Applied rewrites96.3%
Taylor expanded in z around inf
lower-*.f64N/A
lower-exp.f64N/A
lower-*.f64N/A
lower-log.f64N/A
lower--.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-exp.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower-PI.f6496.3
Applied rewrites96.3%
Taylor expanded in z around 0
lower-/.f6495.8
Applied rewrites95.8%
(FPCore (z) :precision binary64 (* (/ (* (exp -7.5) (/ (pow (* 15.0 PI) 1.0) (sqrt (* 15.0 PI)))) z) 263.3831869810514))
double code(double z) {
return ((exp(-7.5) * (pow((15.0 * ((double) M_PI)), 1.0) / sqrt((15.0 * ((double) M_PI))))) / z) * 263.3831869810514;
}
public static double code(double z) {
return ((Math.exp(-7.5) * (Math.pow((15.0 * Math.PI), 1.0) / Math.sqrt((15.0 * Math.PI)))) / z) * 263.3831869810514;
}
def code(z): return ((math.exp(-7.5) * (math.pow((15.0 * math.pi), 1.0) / math.sqrt((15.0 * math.pi)))) / z) * 263.3831869810514
function code(z) return Float64(Float64(Float64(exp(-7.5) * Float64((Float64(15.0 * pi) ^ 1.0) / sqrt(Float64(15.0 * pi)))) / z) * 263.3831869810514) end
function tmp = code(z) tmp = ((exp(-7.5) * (((15.0 * pi) ^ 1.0) / sqrt((15.0 * pi)))) / z) * 263.3831869810514; end
code[z_] := N[(N[(N[(N[Exp[-7.5], $MachinePrecision] * N[(N[Power[N[(15.0 * Pi), $MachinePrecision], 1.0], $MachinePrecision] / N[Sqrt[N[(15.0 * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / z), $MachinePrecision] * 263.3831869810514), $MachinePrecision]
\begin{array}{l}
\\
\frac{e^{-7.5} \cdot \frac{{\left(15 \cdot \pi\right)}^{1}}{\sqrt{15 \cdot \pi}}}{z} \cdot 263.3831869810514
\end{array}
Initial program 96.2%
Taylor expanded in z around 0
lower-*.f64N/A
lower-/.f64N/A
Applied rewrites95.3%
lift-*.f64N/A
*-commutativeN/A
lower-*.f6495.3
Applied rewrites95.3%
Taylor expanded in z around 0
lower-/.f64N/A
lower-*.f64N/A
lower-exp.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower-PI.f6495.3
Applied rewrites95.3%
lift-sqrt.f64N/A
pow1/2N/A
metadata-evalN/A
pow-subN/A
lower-unsound-pow.f32N/A
lower-pow.f32N/A
pow1/2N/A
lift-sqrt.f64N/A
lower-unsound-/.f64N/A
lower-unsound-pow.f6496.0
Applied rewrites96.0%
(FPCore (z) :precision binary64 (* (/ 1.0 (/ z (* (sqrt (* 15.0 PI)) (exp -7.5)))) 263.3831869810514))
double code(double z) {
return (1.0 / (z / (sqrt((15.0 * ((double) M_PI))) * exp(-7.5)))) * 263.3831869810514;
}
public static double code(double z) {
return (1.0 / (z / (Math.sqrt((15.0 * Math.PI)) * Math.exp(-7.5)))) * 263.3831869810514;
}
def code(z): return (1.0 / (z / (math.sqrt((15.0 * math.pi)) * math.exp(-7.5)))) * 263.3831869810514
function code(z) return Float64(Float64(1.0 / Float64(z / Float64(sqrt(Float64(15.0 * pi)) * exp(-7.5)))) * 263.3831869810514) end
function tmp = code(z) tmp = (1.0 / (z / (sqrt((15.0 * pi)) * exp(-7.5)))) * 263.3831869810514; end
code[z_] := N[(N[(1.0 / N[(z / N[(N[Sqrt[N[(15.0 * Pi), $MachinePrecision]], $MachinePrecision] * N[Exp[-7.5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 263.3831869810514), $MachinePrecision]
\begin{array}{l}
\\
\frac{1}{\frac{z}{\sqrt{15 \cdot \pi} \cdot e^{-7.5}}} \cdot 263.3831869810514
\end{array}
Initial program 96.2%
Taylor expanded in z around 0
lower-*.f64N/A
lower-/.f64N/A
Applied rewrites95.3%
lift-*.f64N/A
*-commutativeN/A
lower-*.f6495.3
Applied rewrites95.3%
Taylor expanded in z around 0
lower-/.f64N/A
lower-*.f64N/A
lower-exp.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower-PI.f6495.3
Applied rewrites95.3%
lift-/.f64N/A
div-flipN/A
lower-unsound-/.f64N/A
lower-unsound-/.f6495.3
lift-*.f64N/A
*-commutativeN/A
lower-*.f6495.3
Applied rewrites95.3%
(FPCore (z) :precision binary64 (* (* (* (sqrt (* 15.0 PI)) (exp -7.5)) (/ 1.0 z)) 263.3831869810514))
double code(double z) {
return ((sqrt((15.0 * ((double) M_PI))) * exp(-7.5)) * (1.0 / z)) * 263.3831869810514;
}
public static double code(double z) {
return ((Math.sqrt((15.0 * Math.PI)) * Math.exp(-7.5)) * (1.0 / z)) * 263.3831869810514;
}
def code(z): return ((math.sqrt((15.0 * math.pi)) * math.exp(-7.5)) * (1.0 / z)) * 263.3831869810514
function code(z) return Float64(Float64(Float64(sqrt(Float64(15.0 * pi)) * exp(-7.5)) * Float64(1.0 / z)) * 263.3831869810514) end
function tmp = code(z) tmp = ((sqrt((15.0 * pi)) * exp(-7.5)) * (1.0 / z)) * 263.3831869810514; end
code[z_] := N[(N[(N[(N[Sqrt[N[(15.0 * Pi), $MachinePrecision]], $MachinePrecision] * N[Exp[-7.5], $MachinePrecision]), $MachinePrecision] * N[(1.0 / z), $MachinePrecision]), $MachinePrecision] * 263.3831869810514), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\sqrt{15 \cdot \pi} \cdot e^{-7.5}\right) \cdot \frac{1}{z}\right) \cdot 263.3831869810514
\end{array}
Initial program 96.2%
Taylor expanded in z around 0
lower-*.f64N/A
lower-/.f64N/A
Applied rewrites95.3%
lift-*.f64N/A
*-commutativeN/A
lower-*.f6495.3
Applied rewrites95.3%
Taylor expanded in z around 0
lower-/.f64N/A
lower-*.f64N/A
lower-exp.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower-PI.f6495.3
Applied rewrites95.3%
lift-/.f64N/A
mult-flipN/A
lower-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-/.f6495.2
Applied rewrites95.2%
(FPCore (z) :precision binary64 (* (/ (* (exp -7.5) (sqrt (* 15.0 PI))) z) 263.3831869810514))
double code(double z) {
return ((exp(-7.5) * sqrt((15.0 * ((double) M_PI)))) / z) * 263.3831869810514;
}
public static double code(double z) {
return ((Math.exp(-7.5) * Math.sqrt((15.0 * Math.PI))) / z) * 263.3831869810514;
}
def code(z): return ((math.exp(-7.5) * math.sqrt((15.0 * math.pi))) / z) * 263.3831869810514
function code(z) return Float64(Float64(Float64(exp(-7.5) * sqrt(Float64(15.0 * pi))) / z) * 263.3831869810514) end
function tmp = code(z) tmp = ((exp(-7.5) * sqrt((15.0 * pi))) / z) * 263.3831869810514; end
code[z_] := N[(N[(N[(N[Exp[-7.5], $MachinePrecision] * N[Sqrt[N[(15.0 * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / z), $MachinePrecision] * 263.3831869810514), $MachinePrecision]
\begin{array}{l}
\\
\frac{e^{-7.5} \cdot \sqrt{15 \cdot \pi}}{z} \cdot 263.3831869810514
\end{array}
Initial program 96.2%
Taylor expanded in z around 0
lower-*.f64N/A
lower-/.f64N/A
Applied rewrites95.3%
lift-*.f64N/A
*-commutativeN/A
lower-*.f6495.3
Applied rewrites95.3%
Taylor expanded in z around 0
lower-/.f64N/A
lower-*.f64N/A
lower-exp.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower-PI.f6495.3
Applied rewrites95.3%
herbie shell --seed 2025159
(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))))))