
(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 17 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 (cbrt (- z))))
(*
(*
(/ PI (sin (* PI z)))
(*
(* (fabs (cbrt (* PI 2.0))) (pow (* PI 2.0) 0.16666666666666666))
(*
(pow (+ (* t_0 (* t_0 t_0)) 7.5) (- (- 1.0 z) 0.5))
(exp (+ (+ -6.0 (+ z -1.0)) -0.5)))))
(+
(+
(+
(-
(+ 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 (- (- 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 = cbrt(-z);
return ((((double) M_PI) / sin((((double) M_PI) * z))) * ((fabs(cbrt((((double) M_PI) * 2.0))) * pow((((double) M_PI) * 2.0), 0.16666666666666666)) * (pow(((t_0 * (t_0 * t_0)) + 7.5), ((1.0 - z) - 0.5)) * exp(((-6.0 + (z + -1.0)) + -0.5))))) * (((((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 / ((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)))));
}
public static double code(double z) {
double t_0 = Math.cbrt(-z);
return ((Math.PI / Math.sin((Math.PI * z))) * ((Math.abs(Math.cbrt((Math.PI * 2.0))) * Math.pow((Math.PI * 2.0), 0.16666666666666666)) * (Math.pow(((t_0 * (t_0 * t_0)) + 7.5), ((1.0 - z) - 0.5)) * Math.exp(((-6.0 + (z + -1.0)) + -0.5))))) * (((((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 / ((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)))));
}
function code(z) t_0 = cbrt(Float64(-z)) return Float64(Float64(Float64(pi / sin(Float64(pi * z))) * Float64(Float64(abs(cbrt(Float64(pi * 2.0))) * (Float64(pi * 2.0) ^ 0.16666666666666666)) * Float64((Float64(Float64(t_0 * Float64(t_0 * t_0)) + 7.5) ^ Float64(Float64(1.0 - z) - 0.5)) * exp(Float64(Float64(-6.0 + Float64(z + -1.0)) + -0.5))))) * Float64(Float64(Float64(Float64(Float64(0.9999999999998099 + Float64(676.5203681218851 / Float64(1.0 - z))) - Float64(-1259.1392167224028 / Float64(-1.0 + Float64(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(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
code[z_] := Block[{t$95$0 = N[Power[(-z), 1/3], $MachinePrecision]}, N[(N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Abs[N[Power[N[(Pi * 2.0), $MachinePrecision], 1/3], $MachinePrecision]], $MachinePrecision] * N[Power[N[(Pi * 2.0), $MachinePrecision], 0.16666666666666666], $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[(N[(t$95$0 * N[(t$95$0 * t$95$0), $MachinePrecision]), $MachinePrecision] + 7.5), $MachinePrecision], N[(N[(1.0 - z), $MachinePrecision] - 0.5), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(N[(-6.0 + N[(z + -1.0), $MachinePrecision]), $MachinePrecision] + -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(N[(0.9999999999998099 + N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(-1259.1392167224028 / N[(-1.0 + N[(z + -1.0), $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 := \sqrt[3]{-z}\\
\left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left|\sqrt[3]{\pi \cdot 2}\right| \cdot {\left(\pi \cdot 2\right)}^{0.16666666666666666}\right) \cdot \left({\left(t\_0 \cdot \left(t\_0 \cdot t\_0\right) + 7.5\right)}^{\left(\left(1 - z\right) - 0.5\right)} \cdot e^{\left(-6 + \left(z + -1\right)\right) + -0.5}\right)\right)\right) \cdot \left(\left(\left(\left(\left(0.9999999999998099 + \frac{676.5203681218851}{1 - z}\right) - \frac{-1259.1392167224028}{-1 + \left(z + -1\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}
Initial program 96.2%
Simplified97.8%
pow1/297.8%
add-cube-cbrt98.1%
unpow-prod-down98.1%
*-commutative98.1%
*-commutative98.1%
*-commutative98.1%
Applied egg-rr98.1%
unpow1/298.1%
rem-sqrt-square98.1%
unpow1/298.1%
Simplified98.1%
metadata-eval98.1%
sub-neg98.1%
expm1-log1p-u98.1%
add-exp-log98.1%
expm1-define98.1%
log1p-expm1-u98.1%
sub-neg98.1%
log1p-define98.1%
expm1-log1p-u98.1%
add-cube-cbrt98.1%
Applied egg-rr98.1%
*-un-lft-identity98.1%
pow1/298.1%
pow1/398.1%
pow-pow98.1%
metadata-eval98.1%
Applied egg-rr98.1%
*-lft-identity98.1%
Simplified98.1%
Final simplification98.1%
(FPCore (z)
:precision binary64
(let* ((t_0 (cbrt (* PI 2.0))))
(*
(+
(+
(+
(-
(+ 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 (- (- 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)))))
(*
(/ PI (sin (* PI z)))
(*
(* (fabs t_0) (sqrt t_0))
(*
(exp (+ (+ -6.0 (+ z -1.0)) -0.5))
(pow (+ 7.5 (+ (- 1.0 z) -1.0)) (- (- 1.0 z) 0.5))))))))
double code(double z) {
double t_0 = cbrt((((double) M_PI) * 2.0));
return (((((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 / ((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) M_PI) / sin((((double) M_PI) * z))) * ((fabs(t_0) * sqrt(t_0)) * (exp(((-6.0 + (z + -1.0)) + -0.5)) * pow((7.5 + ((1.0 - z) + -1.0)), ((1.0 - z) - 0.5)))));
}
public static double code(double z) {
double t_0 = Math.cbrt((Math.PI * 2.0));
return (((((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 / ((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))))) * ((Math.PI / Math.sin((Math.PI * z))) * ((Math.abs(t_0) * Math.sqrt(t_0)) * (Math.exp(((-6.0 + (z + -1.0)) + -0.5)) * Math.pow((7.5 + ((1.0 - z) + -1.0)), ((1.0 - z) - 0.5)))));
}
function code(z) t_0 = cbrt(Float64(pi * 2.0)) return Float64(Float64(Float64(Float64(Float64(Float64(0.9999999999998099 + Float64(676.5203681218851 / Float64(1.0 - z))) - Float64(-1259.1392167224028 / Float64(-1.0 + Float64(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(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))))) * Float64(Float64(pi / sin(Float64(pi * z))) * Float64(Float64(abs(t_0) * sqrt(t_0)) * Float64(exp(Float64(Float64(-6.0 + Float64(z + -1.0)) + -0.5)) * (Float64(7.5 + Float64(Float64(1.0 - z) + -1.0)) ^ Float64(Float64(1.0 - z) - 0.5)))))) end
code[z_] := Block[{t$95$0 = N[Power[N[(Pi * 2.0), $MachinePrecision], 1/3], $MachinePrecision]}, N[(N[(N[(N[(N[(N[(0.9999999999998099 + N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(-1259.1392167224028 / N[(-1.0 + N[(z + -1.0), $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] * N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Abs[t$95$0], $MachinePrecision] * N[Sqrt[t$95$0], $MachinePrecision]), $MachinePrecision] * N[(N[Exp[N[(N[(-6.0 + N[(z + -1.0), $MachinePrecision]), $MachinePrecision] + -0.5), $MachinePrecision]], $MachinePrecision] * N[Power[N[(7.5 + N[(N[(1.0 - z), $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision], N[(N[(1.0 - z), $MachinePrecision] - 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt[3]{\pi \cdot 2}\\
\left(\left(\left(\left(\left(0.9999999999998099 + \frac{676.5203681218851}{1 - z}\right) - \frac{-1259.1392167224028}{-1 + \left(z + -1\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) \cdot \left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left|t\_0\right| \cdot \sqrt{t\_0}\right) \cdot \left(e^{\left(-6 + \left(z + -1\right)\right) + -0.5} \cdot {\left(7.5 + \left(\left(1 - z\right) + -1\right)\right)}^{\left(\left(1 - z\right) - 0.5\right)}\right)\right)\right)
\end{array}
\end{array}
Initial program 96.2%
Simplified97.8%
pow1/297.8%
add-cube-cbrt98.1%
unpow-prod-down98.1%
*-commutative98.1%
*-commutative98.1%
*-commutative98.1%
Applied egg-rr98.1%
unpow1/298.1%
rem-sqrt-square98.1%
unpow1/298.1%
Simplified98.1%
Final simplification98.1%
(FPCore (z)
:precision binary64
(*
(*
(* (pow (cbrt (sqrt PI)) 3.0) (sqrt 2.0))
(* (pow (- 7.5 z) (- 0.5 z)) (exp (+ z -7.5))))
(*
(/ PI (sin (* PI z)))
(+
(-
(+ (/ 9.984369578019572e-6 (- 7.0 z)) (/ 1.5056327351493116e-7 (- 8.0 z)))
(+
(+ (/ 676.5203681218851 (+ z -1.0)) (/ -1259.1392167224028 (- z 2.0)))
(- (/ 771.3234287776531 (- z 3.0)) 0.9999999999998099)))
(+
(/ -0.13857109526572012 (- 6.0 z))
(+ (/ -176.6150291621406 (- 4.0 z)) (/ 12.507343278686905 (- 5.0 z))))))))
double code(double z) {
return ((pow(cbrt(sqrt(((double) M_PI))), 3.0) * sqrt(2.0)) * (pow((7.5 - z), (0.5 - z)) * exp((z + -7.5)))) * ((((double) M_PI) / sin((((double) M_PI) * z))) * ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) - (((676.5203681218851 / (z + -1.0)) + (-1259.1392167224028 / (z - 2.0))) + ((771.3234287776531 / (z - 3.0)) - 0.9999999999998099))) + ((-0.13857109526572012 / (6.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z))))));
}
public static double code(double z) {
return ((Math.pow(Math.cbrt(Math.sqrt(Math.PI)), 3.0) * Math.sqrt(2.0)) * (Math.pow((7.5 - z), (0.5 - z)) * Math.exp((z + -7.5)))) * ((Math.PI / Math.sin((Math.PI * z))) * ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) - (((676.5203681218851 / (z + -1.0)) + (-1259.1392167224028 / (z - 2.0))) + ((771.3234287776531 / (z - 3.0)) - 0.9999999999998099))) + ((-0.13857109526572012 / (6.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z))))));
}
function code(z) return Float64(Float64(Float64((cbrt(sqrt(pi)) ^ 3.0) * sqrt(2.0)) * Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * exp(Float64(z + -7.5)))) * Float64(Float64(pi / sin(Float64(pi * z))) * Float64(Float64(Float64(Float64(9.984369578019572e-6 / Float64(7.0 - z)) + Float64(1.5056327351493116e-7 / Float64(8.0 - z))) - Float64(Float64(Float64(676.5203681218851 / Float64(z + -1.0)) + Float64(-1259.1392167224028 / Float64(z - 2.0))) + Float64(Float64(771.3234287776531 / Float64(z - 3.0)) - 0.9999999999998099))) + Float64(Float64(-0.13857109526572012 / Float64(6.0 - z)) + Float64(Float64(-176.6150291621406 / Float64(4.0 - z)) + Float64(12.507343278686905 / Float64(5.0 - z))))))) end
code[z_] := N[(N[(N[(N[Power[N[Power[N[Sqrt[Pi], $MachinePrecision], 1/3], $MachinePrecision], 3.0], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(9.984369578019572e-6 / N[(7.0 - z), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(8.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(N[(676.5203681218851 / N[(z + -1.0), $MachinePrecision]), $MachinePrecision] + N[(-1259.1392167224028 / N[(z - 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(771.3234287776531 / N[(z - 3.0), $MachinePrecision]), $MachinePrecision] - 0.9999999999998099), $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]
\begin{array}{l}
\\
\left(\left({\left(\sqrt[3]{\sqrt{\pi}}\right)}^{3} \cdot \sqrt{2}\right) \cdot \left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot e^{z + -7.5}\right)\right) \cdot \left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \frac{1.5056327351493116 \cdot 10^{-7}}{8 - z}\right) - \left(\left(\frac{676.5203681218851}{z + -1} + \frac{-1259.1392167224028}{z - 2}\right) + \left(\frac{771.3234287776531}{z - 3} - 0.9999999999998099\right)\right)\right) + \left(\frac{-0.13857109526572012}{6 - z} + \left(\frac{-176.6150291621406}{4 - z} + \frac{12.507343278686905}{5 - z}\right)\right)\right)\right)
\end{array}
Initial program 96.2%
Simplified96.4%
sqrt-prod95.6%
Applied egg-rr95.6%
add-cube-cbrt98.0%
pow398.0%
Applied egg-rr98.0%
Final simplification98.0%
(FPCore (z)
:precision binary64
(*
(*
(/ PI (sin (* PI z)))
(*
(*
(exp (+ (+ -6.0 (+ z -1.0)) -0.5))
(pow (+ 7.5 (+ (- 1.0 z) -1.0)) (- (- 1.0 z) 0.5)))
(sqrt (* PI 2.0))))
(+
(-
(/ 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
(+
(/ 676.5203681218851 (+ z -1.0))
(/ -1259.1392167224028 (- z 2.0)))))))))
double code(double z) {
return ((((double) M_PI) / sin((((double) M_PI) * z))) * ((exp(((-6.0 + (z + -1.0)) + -0.5)) * pow((7.5 + ((1.0 - z) + -1.0)), ((1.0 - z) - 0.5))) * sqrt((((double) M_PI) * 2.0)))) * (((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 - ((676.5203681218851 / (z + -1.0)) + (-1259.1392167224028 / (z - 2.0)))))));
}
public static double code(double z) {
return ((Math.PI / Math.sin((Math.PI * z))) * ((Math.exp(((-6.0 + (z + -1.0)) + -0.5)) * Math.pow((7.5 + ((1.0 - z) + -1.0)), ((1.0 - z) - 0.5))) * Math.sqrt((Math.PI * 2.0)))) * (((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 - ((676.5203681218851 / (z + -1.0)) + (-1259.1392167224028 / (z - 2.0)))))));
}
def code(z): return ((math.pi / math.sin((math.pi * z))) * ((math.exp(((-6.0 + (z + -1.0)) + -0.5)) * math.pow((7.5 + ((1.0 - z) + -1.0)), ((1.0 - z) - 0.5))) * math.sqrt((math.pi * 2.0)))) * (((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 - ((676.5203681218851 / (z + -1.0)) + (-1259.1392167224028 / (z - 2.0)))))))
function code(z) return Float64(Float64(Float64(pi / sin(Float64(pi * z))) * Float64(Float64(exp(Float64(Float64(-6.0 + Float64(z + -1.0)) + -0.5)) * (Float64(7.5 + Float64(Float64(1.0 - z) + -1.0)) ^ Float64(Float64(1.0 - z) - 0.5))) * sqrt(Float64(pi * 2.0)))) * 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(676.5203681218851 / Float64(z + -1.0)) + Float64(-1259.1392167224028 / Float64(z - 2.0)))))))) end
function tmp = code(z) tmp = ((pi / sin((pi * z))) * ((exp(((-6.0 + (z + -1.0)) + -0.5)) * ((7.5 + ((1.0 - z) + -1.0)) ^ ((1.0 - z) - 0.5))) * sqrt((pi * 2.0)))) * (((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 - ((676.5203681218851 / (z + -1.0)) + (-1259.1392167224028 / (z - 2.0))))))); end
code[z_] := N[(N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Exp[N[(N[(-6.0 + N[(z + -1.0), $MachinePrecision]), $MachinePrecision] + -0.5), $MachinePrecision]], $MachinePrecision] * N[Power[N[(7.5 + N[(N[(1.0 - z), $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision], N[(N[(1.0 - z), $MachinePrecision] - 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(Pi * 2.0), $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[(676.5203681218851 / N[(z + -1.0), $MachinePrecision]), $MachinePrecision] + N[(-1259.1392167224028 / N[(z - 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(e^{\left(-6 + \left(z + -1\right)\right) + -0.5} \cdot {\left(7.5 + \left(\left(1 - z\right) + -1\right)\right)}^{\left(\left(1 - z\right) - 0.5\right)}\right) \cdot \sqrt{\pi \cdot 2}\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{676.5203681218851}{z + -1} + \frac{-1259.1392167224028}{z - 2}\right)\right)\right)\right)\right)
\end{array}
Initial program 96.2%
Simplified97.8%
metadata-eval97.8%
associate-+l-97.8%
metadata-eval97.8%
associate-+l-97.8%
*-un-lft-identity97.8%
associate-+l+97.8%
associate-+l-97.8%
metadata-eval97.8%
--rgt-identity97.8%
+-commutative97.8%
expm1-log1p-u97.8%
add-exp-log97.8%
expm1-define97.8%
log1p-expm1-u97.8%
sub-neg97.8%
Applied egg-rr97.8%
*-lft-identity97.8%
Simplified97.8%
Final simplification97.8%
(FPCore (z)
:precision binary64
(*
(+
(+
(+
(-
(+ 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 (- (- 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)))))
(*
(/ PI (sin (* PI z)))
(*
(sqrt (* PI 2.0))
(*
(exp (+ (+ -6.0 (+ z -1.0)) -0.5))
(pow (- 7.5 z) (- (- 1.0 z) 0.5)))))))
double code(double z) {
return (((((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 / ((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) M_PI) / sin((((double) M_PI) * z))) * (sqrt((((double) M_PI) * 2.0)) * (exp(((-6.0 + (z + -1.0)) + -0.5)) * pow((7.5 - z), ((1.0 - z) - 0.5)))));
}
public static double code(double z) {
return (((((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 / ((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))))) * ((Math.PI / Math.sin((Math.PI * z))) * (Math.sqrt((Math.PI * 2.0)) * (Math.exp(((-6.0 + (z + -1.0)) + -0.5)) * Math.pow((7.5 - z), ((1.0 - z) - 0.5)))));
}
def code(z): return (((((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 / ((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))))) * ((math.pi / math.sin((math.pi * z))) * (math.sqrt((math.pi * 2.0)) * (math.exp(((-6.0 + (z + -1.0)) + -0.5)) * math.pow((7.5 - z), ((1.0 - z) - 0.5)))))
function code(z) return Float64(Float64(Float64(Float64(Float64(Float64(0.9999999999998099 + Float64(676.5203681218851 / Float64(1.0 - z))) - Float64(-1259.1392167224028 / Float64(-1.0 + Float64(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(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))))) * Float64(Float64(pi / sin(Float64(pi * z))) * Float64(sqrt(Float64(pi * 2.0)) * Float64(exp(Float64(Float64(-6.0 + Float64(z + -1.0)) + -0.5)) * (Float64(7.5 - z) ^ Float64(Float64(1.0 - z) - 0.5)))))) end
function tmp = code(z) tmp = (((((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 / ((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))))) * ((pi / sin((pi * z))) * (sqrt((pi * 2.0)) * (exp(((-6.0 + (z + -1.0)) + -0.5)) * ((7.5 - z) ^ ((1.0 - z) - 0.5))))); end
code[z_] := N[(N[(N[(N[(N[(N[(0.9999999999998099 + N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(-1259.1392167224028 / N[(-1.0 + N[(z + -1.0), $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] * N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[Exp[N[(N[(-6.0 + N[(z + -1.0), $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]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\left(\left(0.9999999999998099 + \frac{676.5203681218851}{1 - z}\right) - \frac{-1259.1392167224028}{-1 + \left(z + -1\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) \cdot \left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\sqrt{\pi \cdot 2} \cdot \left(e^{\left(-6 + \left(z + -1\right)\right) + -0.5} \cdot {\left(7.5 - z\right)}^{\left(\left(1 - z\right) - 0.5\right)}\right)\right)\right)
\end{array}
Initial program 96.2%
Simplified97.8%
Taylor expanded in z around 0 97.8%
neg-mul-197.8%
Simplified97.8%
Final simplification97.8%
(FPCore (z)
:precision binary64
(*
(*
(sqrt (* PI 2.0))
(* (pow (+ (- 1.0 z) 6.5) (- -0.5 (+ z -1.0))) (exp (- (+ z -1.0) 6.5))))
(*
(/ PI (sin (* PI z)))
(-
(+
(+
(/ 12.507343278686905 (- 4.0 (+ z -1.0)))
(/ -0.13857109526572012 (+ (- 1.0 z) 5.0)))
(+
(/ 9.984369578019572e-6 (+ (- 1.0 z) 6.0))
(/ 1.5056327351493116e-7 (+ (- 1.0 z) 7.0))))
(+
(/ -176.6150291621406 (- (+ z -1.0) 3.0))
(-
(+
(+ (/ 676.5203681218851 (+ z -1.0)) (/ -1259.1392167224028 (- z 2.0)))
(/ 771.3234287776531 (- z 3.0)))
0.9999999999998099))))))
double code(double z) {
return (sqrt((((double) M_PI) * 2.0)) * (pow(((1.0 - z) + 6.5), (-0.5 - (z + -1.0))) * exp(((z + -1.0) - 6.5)))) * ((((double) M_PI) / sin((((double) M_PI) * z))) * ((((12.507343278686905 / (4.0 - (z + -1.0))) + (-0.13857109526572012 / ((1.0 - z) + 5.0))) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))) - ((-176.6150291621406 / ((z + -1.0) - 3.0)) + ((((676.5203681218851 / (z + -1.0)) + (-1259.1392167224028 / (z - 2.0))) + (771.3234287776531 / (z - 3.0))) - 0.9999999999998099))));
}
public static double code(double z) {
return (Math.sqrt((Math.PI * 2.0)) * (Math.pow(((1.0 - z) + 6.5), (-0.5 - (z + -1.0))) * Math.exp(((z + -1.0) - 6.5)))) * ((Math.PI / Math.sin((Math.PI * z))) * ((((12.507343278686905 / (4.0 - (z + -1.0))) + (-0.13857109526572012 / ((1.0 - z) + 5.0))) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))) - ((-176.6150291621406 / ((z + -1.0) - 3.0)) + ((((676.5203681218851 / (z + -1.0)) + (-1259.1392167224028 / (z - 2.0))) + (771.3234287776531 / (z - 3.0))) - 0.9999999999998099))));
}
def code(z): return (math.sqrt((math.pi * 2.0)) * (math.pow(((1.0 - z) + 6.5), (-0.5 - (z + -1.0))) * math.exp(((z + -1.0) - 6.5)))) * ((math.pi / math.sin((math.pi * z))) * ((((12.507343278686905 / (4.0 - (z + -1.0))) + (-0.13857109526572012 / ((1.0 - z) + 5.0))) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))) - ((-176.6150291621406 / ((z + -1.0) - 3.0)) + ((((676.5203681218851 / (z + -1.0)) + (-1259.1392167224028 / (z - 2.0))) + (771.3234287776531 / (z - 3.0))) - 0.9999999999998099))))
function code(z) return Float64(Float64(sqrt(Float64(pi * 2.0)) * Float64((Float64(Float64(1.0 - z) + 6.5) ^ Float64(-0.5 - Float64(z + -1.0))) * exp(Float64(Float64(z + -1.0) - 6.5)))) * Float64(Float64(pi / sin(Float64(pi * z))) * Float64(Float64(Float64(Float64(12.507343278686905 / Float64(4.0 - Float64(z + -1.0))) + 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)))) - Float64(Float64(-176.6150291621406 / Float64(Float64(z + -1.0) - 3.0)) + Float64(Float64(Float64(Float64(676.5203681218851 / Float64(z + -1.0)) + Float64(-1259.1392167224028 / Float64(z - 2.0))) + Float64(771.3234287776531 / Float64(z - 3.0))) - 0.9999999999998099))))) end
function tmp = code(z) tmp = (sqrt((pi * 2.0)) * ((((1.0 - z) + 6.5) ^ (-0.5 - (z + -1.0))) * exp(((z + -1.0) - 6.5)))) * ((pi / sin((pi * z))) * ((((12.507343278686905 / (4.0 - (z + -1.0))) + (-0.13857109526572012 / ((1.0 - z) + 5.0))) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))) - ((-176.6150291621406 / ((z + -1.0) - 3.0)) + ((((676.5203681218851 / (z + -1.0)) + (-1259.1392167224028 / (z - 2.0))) + (771.3234287776531 / (z - 3.0))) - 0.9999999999998099)))); end
code[z_] := N[(N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[Power[N[(N[(1.0 - z), $MachinePrecision] + 6.5), $MachinePrecision], N[(-0.5 - N[(z + -1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(N[(z + -1.0), $MachinePrecision] - 6.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(12.507343278686905 / N[(4.0 - N[(z + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(N[(1.0 - z), $MachinePrecision] + 5.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(9.984369578019572e-6 / N[(N[(1.0 - z), $MachinePrecision] + 6.0), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(N[(1.0 - z), $MachinePrecision] + 7.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(-176.6150291621406 / N[(N[(z + -1.0), $MachinePrecision] - 3.0), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(N[(676.5203681218851 / N[(z + -1.0), $MachinePrecision]), $MachinePrecision] + N[(-1259.1392167224028 / N[(z - 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(771.3234287776531 / N[(z - 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.9999999999998099), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\sqrt{\pi \cdot 2} \cdot \left({\left(\left(1 - z\right) + 6.5\right)}^{\left(-0.5 - \left(z + -1\right)\right)} \cdot e^{\left(z + -1\right) - 6.5}\right)\right) \cdot \left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\frac{12.507343278686905}{4 - \left(z + -1\right)} + \frac{-0.13857109526572012}{\left(1 - z\right) + 5}\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) - \left(\frac{-176.6150291621406}{\left(z + -1\right) - 3} + \left(\left(\left(\frac{676.5203681218851}{z + -1} + \frac{-1259.1392167224028}{z - 2}\right) + \frac{771.3234287776531}{z - 3}\right) - 0.9999999999998099\right)\right)\right)\right)
\end{array}
Initial program 96.2%
Simplified96.3%
*-un-lft-identity96.3%
+-commutative96.3%
associate-+l+96.3%
metadata-eval96.3%
sub-neg96.3%
metadata-eval96.3%
associate-+l-96.3%
+-commutative96.3%
expm1-log1p-u96.3%
add-exp-log96.3%
expm1-define96.3%
log1p-expm1-u96.3%
sub-neg96.3%
log1p-define96.3%
expm1-log1p-u96.3%
sub-neg96.3%
Applied egg-rr96.3%
*-lft-identity96.3%
associate-+l+97.5%
+-commutative97.5%
associate-+l+97.6%
+-commutative97.6%
associate-+r-97.6%
metadata-eval97.6%
associate-+l+97.6%
+-commutative97.6%
associate-+l+97.6%
+-commutative97.6%
associate-+l+97.6%
Simplified97.6%
Final simplification97.6%
(FPCore (z)
:precision binary64
(*
(*
(sqrt (* PI 2.0))
(* (pow (+ (- 1.0 z) 6.5) (- -0.5 (+ z -1.0))) (exp (- (+ z -1.0) 6.5))))
(*
(/ PI (sin (* PI z)))
(-
(+
(+
(/ 12.507343278686905 (- 4.0 (+ z -1.0)))
(/ -0.13857109526572012 (+ (- 1.0 z) 5.0)))
(+
(/ 9.984369578019572e-6 (+ (- 1.0 z) 6.0))
(/ 1.5056327351493116e-7 (+ (- 1.0 z) 7.0))))
(-
(/ -176.6150291621406 (- (+ z -1.0) 3.0))
(-
0.9999999999998099
(-
(/ 771.3234287776531 (- z 3.0))
(+
46.9507597606837
(* z (+ 361.7355639412844 (* z 519.1279660315847)))))))))))
double code(double z) {
return (sqrt((((double) M_PI) * 2.0)) * (pow(((1.0 - z) + 6.5), (-0.5 - (z + -1.0))) * exp(((z + -1.0) - 6.5)))) * ((((double) M_PI) / sin((((double) M_PI) * z))) * ((((12.507343278686905 / (4.0 - (z + -1.0))) + (-0.13857109526572012 / ((1.0 - z) + 5.0))) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))) - ((-176.6150291621406 / ((z + -1.0) - 3.0)) - (0.9999999999998099 - ((771.3234287776531 / (z - 3.0)) - (46.9507597606837 + (z * (361.7355639412844 + (z * 519.1279660315847)))))))));
}
public static double code(double z) {
return (Math.sqrt((Math.PI * 2.0)) * (Math.pow(((1.0 - z) + 6.5), (-0.5 - (z + -1.0))) * Math.exp(((z + -1.0) - 6.5)))) * ((Math.PI / Math.sin((Math.PI * z))) * ((((12.507343278686905 / (4.0 - (z + -1.0))) + (-0.13857109526572012 / ((1.0 - z) + 5.0))) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))) - ((-176.6150291621406 / ((z + -1.0) - 3.0)) - (0.9999999999998099 - ((771.3234287776531 / (z - 3.0)) - (46.9507597606837 + (z * (361.7355639412844 + (z * 519.1279660315847)))))))));
}
def code(z): return (math.sqrt((math.pi * 2.0)) * (math.pow(((1.0 - z) + 6.5), (-0.5 - (z + -1.0))) * math.exp(((z + -1.0) - 6.5)))) * ((math.pi / math.sin((math.pi * z))) * ((((12.507343278686905 / (4.0 - (z + -1.0))) + (-0.13857109526572012 / ((1.0 - z) + 5.0))) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))) - ((-176.6150291621406 / ((z + -1.0) - 3.0)) - (0.9999999999998099 - ((771.3234287776531 / (z - 3.0)) - (46.9507597606837 + (z * (361.7355639412844 + (z * 519.1279660315847)))))))))
function code(z) return Float64(Float64(sqrt(Float64(pi * 2.0)) * Float64((Float64(Float64(1.0 - z) + 6.5) ^ Float64(-0.5 - Float64(z + -1.0))) * exp(Float64(Float64(z + -1.0) - 6.5)))) * Float64(Float64(pi / sin(Float64(pi * z))) * Float64(Float64(Float64(Float64(12.507343278686905 / Float64(4.0 - Float64(z + -1.0))) + 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)))) - Float64(Float64(-176.6150291621406 / Float64(Float64(z + -1.0) - 3.0)) - Float64(0.9999999999998099 - Float64(Float64(771.3234287776531 / Float64(z - 3.0)) - Float64(46.9507597606837 + Float64(z * Float64(361.7355639412844 + Float64(z * 519.1279660315847)))))))))) end
function tmp = code(z) tmp = (sqrt((pi * 2.0)) * ((((1.0 - z) + 6.5) ^ (-0.5 - (z + -1.0))) * exp(((z + -1.0) - 6.5)))) * ((pi / sin((pi * z))) * ((((12.507343278686905 / (4.0 - (z + -1.0))) + (-0.13857109526572012 / ((1.0 - z) + 5.0))) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))) - ((-176.6150291621406 / ((z + -1.0) - 3.0)) - (0.9999999999998099 - ((771.3234287776531 / (z - 3.0)) - (46.9507597606837 + (z * (361.7355639412844 + (z * 519.1279660315847))))))))); end
code[z_] := N[(N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[Power[N[(N[(1.0 - z), $MachinePrecision] + 6.5), $MachinePrecision], N[(-0.5 - N[(z + -1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(N[(z + -1.0), $MachinePrecision] - 6.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(12.507343278686905 / N[(4.0 - N[(z + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(N[(1.0 - z), $MachinePrecision] + 5.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(9.984369578019572e-6 / N[(N[(1.0 - z), $MachinePrecision] + 6.0), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(N[(1.0 - z), $MachinePrecision] + 7.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(-176.6150291621406 / N[(N[(z + -1.0), $MachinePrecision] - 3.0), $MachinePrecision]), $MachinePrecision] - N[(0.9999999999998099 - N[(N[(771.3234287776531 / N[(z - 3.0), $MachinePrecision]), $MachinePrecision] - N[(46.9507597606837 + N[(z * N[(361.7355639412844 + N[(z * 519.1279660315847), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\sqrt{\pi \cdot 2} \cdot \left({\left(\left(1 - z\right) + 6.5\right)}^{\left(-0.5 - \left(z + -1\right)\right)} \cdot e^{\left(z + -1\right) - 6.5}\right)\right) \cdot \left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\frac{12.507343278686905}{4 - \left(z + -1\right)} + \frac{-0.13857109526572012}{\left(1 - z\right) + 5}\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) - \left(\frac{-176.6150291621406}{\left(z + -1\right) - 3} - \left(0.9999999999998099 - \left(\frac{771.3234287776531}{z - 3} - \left(46.9507597606837 + z \cdot \left(361.7355639412844 + z \cdot 519.1279660315847\right)\right)\right)\right)\right)\right)\right)
\end{array}
Initial program 96.2%
Simplified96.3%
*-un-lft-identity96.3%
+-commutative96.3%
associate-+l+96.3%
metadata-eval96.3%
sub-neg96.3%
metadata-eval96.3%
associate-+l-96.3%
+-commutative96.3%
expm1-log1p-u96.3%
add-exp-log96.3%
expm1-define96.3%
log1p-expm1-u96.3%
sub-neg96.3%
log1p-define96.3%
expm1-log1p-u96.3%
sub-neg96.3%
Applied egg-rr96.3%
*-lft-identity96.3%
associate-+l+97.5%
+-commutative97.5%
associate-+l+97.6%
+-commutative97.6%
associate-+r-97.6%
metadata-eval97.6%
associate-+l+97.6%
+-commutative97.6%
associate-+l+97.6%
+-commutative97.6%
associate-+l+97.6%
Simplified97.6%
Taylor expanded in z around 0 96.9%
*-commutative96.9%
Simplified96.9%
Final simplification96.9%
(FPCore (z)
:precision binary64
(*
(*
(sqrt (* PI 2.0))
(* (pow (+ (- 1.0 z) 6.5) (- -0.5 (+ z -1.0))) (exp (- (+ z -1.0) 6.5))))
(*
(/ PI (sin (* PI z)))
(+
(+
(+
(/ 12.507343278686905 (- 4.0 (+ z -1.0)))
(/ -0.13857109526572012 (+ (- 1.0 z) 5.0)))
(+
(/ 9.984369578019572e-6 (+ (- 1.0 z) 6.0))
(/ 1.5056327351493116e-7 (+ (- 1.0 z) 7.0))))
(+
260.9048120626994
(* z (+ 436.3997278161676 (* z 544.9358906000987))))))))
double code(double z) {
return (sqrt((((double) M_PI) * 2.0)) * (pow(((1.0 - z) + 6.5), (-0.5 - (z + -1.0))) * exp(((z + -1.0) - 6.5)))) * ((((double) M_PI) / sin((((double) M_PI) * z))) * ((((12.507343278686905 / (4.0 - (z + -1.0))) + (-0.13857109526572012 / ((1.0 - z) + 5.0))) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))) + (260.9048120626994 + (z * (436.3997278161676 + (z * 544.9358906000987))))));
}
public static double code(double z) {
return (Math.sqrt((Math.PI * 2.0)) * (Math.pow(((1.0 - z) + 6.5), (-0.5 - (z + -1.0))) * Math.exp(((z + -1.0) - 6.5)))) * ((Math.PI / Math.sin((Math.PI * z))) * ((((12.507343278686905 / (4.0 - (z + -1.0))) + (-0.13857109526572012 / ((1.0 - z) + 5.0))) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))) + (260.9048120626994 + (z * (436.3997278161676 + (z * 544.9358906000987))))));
}
def code(z): return (math.sqrt((math.pi * 2.0)) * (math.pow(((1.0 - z) + 6.5), (-0.5 - (z + -1.0))) * math.exp(((z + -1.0) - 6.5)))) * ((math.pi / math.sin((math.pi * z))) * ((((12.507343278686905 / (4.0 - (z + -1.0))) + (-0.13857109526572012 / ((1.0 - z) + 5.0))) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))) + (260.9048120626994 + (z * (436.3997278161676 + (z * 544.9358906000987))))))
function code(z) return Float64(Float64(sqrt(Float64(pi * 2.0)) * Float64((Float64(Float64(1.0 - z) + 6.5) ^ Float64(-0.5 - Float64(z + -1.0))) * exp(Float64(Float64(z + -1.0) - 6.5)))) * Float64(Float64(pi / sin(Float64(pi * z))) * Float64(Float64(Float64(Float64(12.507343278686905 / Float64(4.0 - Float64(z + -1.0))) + 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)))) + Float64(260.9048120626994 + Float64(z * Float64(436.3997278161676 + Float64(z * 544.9358906000987))))))) end
function tmp = code(z) tmp = (sqrt((pi * 2.0)) * ((((1.0 - z) + 6.5) ^ (-0.5 - (z + -1.0))) * exp(((z + -1.0) - 6.5)))) * ((pi / sin((pi * z))) * ((((12.507343278686905 / (4.0 - (z + -1.0))) + (-0.13857109526572012 / ((1.0 - z) + 5.0))) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))) + (260.9048120626994 + (z * (436.3997278161676 + (z * 544.9358906000987)))))); end
code[z_] := N[(N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[Power[N[(N[(1.0 - z), $MachinePrecision] + 6.5), $MachinePrecision], N[(-0.5 - N[(z + -1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(N[(z + -1.0), $MachinePrecision] - 6.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(12.507343278686905 / N[(4.0 - N[(z + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(N[(1.0 - z), $MachinePrecision] + 5.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(9.984369578019572e-6 / N[(N[(1.0 - z), $MachinePrecision] + 6.0), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(N[(1.0 - z), $MachinePrecision] + 7.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(260.9048120626994 + N[(z * N[(436.3997278161676 + N[(z * 544.9358906000987), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\sqrt{\pi \cdot 2} \cdot \left({\left(\left(1 - z\right) + 6.5\right)}^{\left(-0.5 - \left(z + -1\right)\right)} \cdot e^{\left(z + -1\right) - 6.5}\right)\right) \cdot \left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\frac{12.507343278686905}{4 - \left(z + -1\right)} + \frac{-0.13857109526572012}{\left(1 - z\right) + 5}\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) + \left(260.9048120626994 + z \cdot \left(436.3997278161676 + z \cdot 544.9358906000987\right)\right)\right)\right)
\end{array}
Initial program 96.2%
Simplified96.3%
*-un-lft-identity96.3%
+-commutative96.3%
associate-+l+96.3%
metadata-eval96.3%
sub-neg96.3%
metadata-eval96.3%
associate-+l-96.3%
+-commutative96.3%
expm1-log1p-u96.3%
add-exp-log96.3%
expm1-define96.3%
log1p-expm1-u96.3%
sub-neg96.3%
log1p-define96.3%
expm1-log1p-u96.3%
sub-neg96.3%
Applied egg-rr96.3%
*-lft-identity96.3%
associate-+l+97.5%
+-commutative97.5%
associate-+l+97.6%
+-commutative97.6%
associate-+r-97.6%
metadata-eval97.6%
associate-+l+97.6%
+-commutative97.6%
associate-+l+97.6%
+-commutative97.6%
associate-+l+97.6%
Simplified97.6%
Taylor expanded in z around 0 96.9%
*-commutative96.9%
Simplified96.9%
Final simplification96.9%
(FPCore (z)
:precision binary64
(*
(*
(/ PI (sin (* PI z)))
(+
263.3831869810514
(*
z
(+
436.8961725563396
(* z (+ 545.0353078428827 (* z 606.6766809167608)))))))
(* (* (pow (- 7.5 z) (- 0.5 z)) (exp (+ z -7.5))) (sqrt (* PI 2.0)))))
double code(double z) {
return ((((double) M_PI) / sin((((double) M_PI) * z))) * (263.3831869810514 + (z * (436.8961725563396 + (z * (545.0353078428827 + (z * 606.6766809167608))))))) * ((pow((7.5 - z), (0.5 - z)) * exp((z + -7.5))) * sqrt((((double) M_PI) * 2.0)));
}
public static double code(double z) {
return ((Math.PI / Math.sin((Math.PI * z))) * (263.3831869810514 + (z * (436.8961725563396 + (z * (545.0353078428827 + (z * 606.6766809167608))))))) * ((Math.pow((7.5 - z), (0.5 - z)) * Math.exp((z + -7.5))) * Math.sqrt((Math.PI * 2.0)));
}
def code(z): return ((math.pi / math.sin((math.pi * z))) * (263.3831869810514 + (z * (436.8961725563396 + (z * (545.0353078428827 + (z * 606.6766809167608))))))) * ((math.pow((7.5 - z), (0.5 - z)) * math.exp((z + -7.5))) * math.sqrt((math.pi * 2.0)))
function code(z) return Float64(Float64(Float64(pi / sin(Float64(pi * z))) * Float64(263.3831869810514 + Float64(z * Float64(436.8961725563396 + Float64(z * Float64(545.0353078428827 + Float64(z * 606.6766809167608))))))) * Float64(Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * exp(Float64(z + -7.5))) * sqrt(Float64(pi * 2.0)))) end
function tmp = code(z) tmp = ((pi / sin((pi * z))) * (263.3831869810514 + (z * (436.8961725563396 + (z * (545.0353078428827 + (z * 606.6766809167608))))))) * ((((7.5 - z) ^ (0.5 - z)) * exp((z + -7.5))) * sqrt((pi * 2.0))); end
code[z_] := N[(N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(263.3831869810514 + N[(z * N[(436.8961725563396 + N[(z * N[(545.0353078428827 + N[(z * 606.6766809167608), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(263.3831869810514 + z \cdot \left(436.8961725563396 + z \cdot \left(545.0353078428827 + z \cdot 606.6766809167608\right)\right)\right)\right) \cdot \left(\left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot e^{z + -7.5}\right) \cdot \sqrt{\pi \cdot 2}\right)
\end{array}
Initial program 96.2%
Simplified96.4%
Taylor expanded in z around 0 96.9%
*-commutative96.9%
Simplified96.9%
Taylor expanded in z around inf 96.9%
exp-to-pow96.9%
sub-neg96.9%
metadata-eval96.9%
+-commutative96.9%
Simplified96.9%
Final simplification96.9%
(FPCore (z) :precision binary64 (* (* (* (pow (- 7.5 z) (- 0.5 z)) (exp (+ z -7.5))) (sqrt (* PI 2.0))) (* (/ PI (sin (* PI z))) (+ 263.3831869810514 (* z (+ 436.8961725563396 (* z 545.0353078428827)))))))
double code(double z) {
return ((pow((7.5 - z), (0.5 - z)) * exp((z + -7.5))) * sqrt((((double) M_PI) * 2.0))) * ((((double) M_PI) / sin((((double) M_PI) * z))) * (263.3831869810514 + (z * (436.8961725563396 + (z * 545.0353078428827)))));
}
public static double code(double z) {
return ((Math.pow((7.5 - z), (0.5 - z)) * Math.exp((z + -7.5))) * Math.sqrt((Math.PI * 2.0))) * ((Math.PI / Math.sin((Math.PI * z))) * (263.3831869810514 + (z * (436.8961725563396 + (z * 545.0353078428827)))));
}
def code(z): return ((math.pow((7.5 - z), (0.5 - z)) * math.exp((z + -7.5))) * math.sqrt((math.pi * 2.0))) * ((math.pi / math.sin((math.pi * z))) * (263.3831869810514 + (z * (436.8961725563396 + (z * 545.0353078428827)))))
function code(z) return Float64(Float64(Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * exp(Float64(z + -7.5))) * sqrt(Float64(pi * 2.0))) * Float64(Float64(pi / sin(Float64(pi * z))) * Float64(263.3831869810514 + Float64(z * Float64(436.8961725563396 + Float64(z * 545.0353078428827)))))) end
function tmp = code(z) tmp = ((((7.5 - z) ^ (0.5 - z)) * exp((z + -7.5))) * sqrt((pi * 2.0))) * ((pi / sin((pi * z))) * (263.3831869810514 + (z * (436.8961725563396 + (z * 545.0353078428827))))); end
code[z_] := N[(N[(N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(263.3831869810514 + N[(z * N[(436.8961725563396 + N[(z * 545.0353078428827), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot e^{z + -7.5}\right) \cdot \sqrt{\pi \cdot 2}\right) \cdot \left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(263.3831869810514 + z \cdot \left(436.8961725563396 + z \cdot 545.0353078428827\right)\right)\right)
\end{array}
Initial program 96.2%
Simplified96.4%
Taylor expanded in z around 0 96.8%
*-commutative96.8%
Simplified96.8%
Final simplification96.8%
(FPCore (z)
:precision binary64
(*
(*
(sqrt (* PI 2.0))
(* (pow (+ (- 1.0 z) 6.5) (- -0.5 (+ z -1.0))) (exp (- (+ z -1.0) 6.5))))
(*
(-
(+
(+
(/ 12.507343278686905 (- 4.0 (+ z -1.0)))
(/ -0.13857109526572012 (+ (- 1.0 z) 5.0)))
(+
(/ 9.984369578019572e-6 (+ (- 1.0 z) 6.0))
(/ 1.5056327351493116e-7 (+ (- 1.0 z) 7.0))))
(+
(/ -176.6150291621406 (- (+ z -1.0) 3.0))
(-
(+
(+ (/ 676.5203681218851 (+ z -1.0)) (/ -1259.1392167224028 (- z 2.0)))
(/ 771.3234287776531 (- z 3.0)))
0.9999999999998099)))
(/ 1.0 z))))
double code(double z) {
return (sqrt((((double) M_PI) * 2.0)) * (pow(((1.0 - z) + 6.5), (-0.5 - (z + -1.0))) * exp(((z + -1.0) - 6.5)))) * (((((12.507343278686905 / (4.0 - (z + -1.0))) + (-0.13857109526572012 / ((1.0 - z) + 5.0))) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))) - ((-176.6150291621406 / ((z + -1.0) - 3.0)) + ((((676.5203681218851 / (z + -1.0)) + (-1259.1392167224028 / (z - 2.0))) + (771.3234287776531 / (z - 3.0))) - 0.9999999999998099))) * (1.0 / z));
}
public static double code(double z) {
return (Math.sqrt((Math.PI * 2.0)) * (Math.pow(((1.0 - z) + 6.5), (-0.5 - (z + -1.0))) * Math.exp(((z + -1.0) - 6.5)))) * (((((12.507343278686905 / (4.0 - (z + -1.0))) + (-0.13857109526572012 / ((1.0 - z) + 5.0))) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))) - ((-176.6150291621406 / ((z + -1.0) - 3.0)) + ((((676.5203681218851 / (z + -1.0)) + (-1259.1392167224028 / (z - 2.0))) + (771.3234287776531 / (z - 3.0))) - 0.9999999999998099))) * (1.0 / z));
}
def code(z): return (math.sqrt((math.pi * 2.0)) * (math.pow(((1.0 - z) + 6.5), (-0.5 - (z + -1.0))) * math.exp(((z + -1.0) - 6.5)))) * (((((12.507343278686905 / (4.0 - (z + -1.0))) + (-0.13857109526572012 / ((1.0 - z) + 5.0))) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))) - ((-176.6150291621406 / ((z + -1.0) - 3.0)) + ((((676.5203681218851 / (z + -1.0)) + (-1259.1392167224028 / (z - 2.0))) + (771.3234287776531 / (z - 3.0))) - 0.9999999999998099))) * (1.0 / z))
function code(z) return Float64(Float64(sqrt(Float64(pi * 2.0)) * Float64((Float64(Float64(1.0 - z) + 6.5) ^ Float64(-0.5 - Float64(z + -1.0))) * exp(Float64(Float64(z + -1.0) - 6.5)))) * Float64(Float64(Float64(Float64(Float64(12.507343278686905 / Float64(4.0 - Float64(z + -1.0))) + 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)))) - Float64(Float64(-176.6150291621406 / Float64(Float64(z + -1.0) - 3.0)) + Float64(Float64(Float64(Float64(676.5203681218851 / Float64(z + -1.0)) + Float64(-1259.1392167224028 / Float64(z - 2.0))) + Float64(771.3234287776531 / Float64(z - 3.0))) - 0.9999999999998099))) * Float64(1.0 / z))) end
function tmp = code(z) tmp = (sqrt((pi * 2.0)) * ((((1.0 - z) + 6.5) ^ (-0.5 - (z + -1.0))) * exp(((z + -1.0) - 6.5)))) * (((((12.507343278686905 / (4.0 - (z + -1.0))) + (-0.13857109526572012 / ((1.0 - z) + 5.0))) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))) - ((-176.6150291621406 / ((z + -1.0) - 3.0)) + ((((676.5203681218851 / (z + -1.0)) + (-1259.1392167224028 / (z - 2.0))) + (771.3234287776531 / (z - 3.0))) - 0.9999999999998099))) * (1.0 / z)); end
code[z_] := N[(N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[Power[N[(N[(1.0 - z), $MachinePrecision] + 6.5), $MachinePrecision], N[(-0.5 - N[(z + -1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(N[(z + -1.0), $MachinePrecision] - 6.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(N[(12.507343278686905 / N[(4.0 - N[(z + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(N[(1.0 - z), $MachinePrecision] + 5.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(9.984369578019572e-6 / N[(N[(1.0 - z), $MachinePrecision] + 6.0), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(N[(1.0 - z), $MachinePrecision] + 7.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(-176.6150291621406 / N[(N[(z + -1.0), $MachinePrecision] - 3.0), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(N[(676.5203681218851 / N[(z + -1.0), $MachinePrecision]), $MachinePrecision] + N[(-1259.1392167224028 / N[(z - 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(771.3234287776531 / N[(z - 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.9999999999998099), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\sqrt{\pi \cdot 2} \cdot \left({\left(\left(1 - z\right) + 6.5\right)}^{\left(-0.5 - \left(z + -1\right)\right)} \cdot e^{\left(z + -1\right) - 6.5}\right)\right) \cdot \left(\left(\left(\left(\frac{12.507343278686905}{4 - \left(z + -1\right)} + \frac{-0.13857109526572012}{\left(1 - z\right) + 5}\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) - \left(\frac{-176.6150291621406}{\left(z + -1\right) - 3} + \left(\left(\left(\frac{676.5203681218851}{z + -1} + \frac{-1259.1392167224028}{z - 2}\right) + \frac{771.3234287776531}{z - 3}\right) - 0.9999999999998099\right)\right)\right) \cdot \frac{1}{z}\right)
\end{array}
Initial program 96.2%
Simplified96.3%
*-un-lft-identity96.3%
+-commutative96.3%
associate-+l+96.3%
metadata-eval96.3%
sub-neg96.3%
metadata-eval96.3%
associate-+l-96.3%
+-commutative96.3%
expm1-log1p-u96.3%
add-exp-log96.3%
expm1-define96.3%
log1p-expm1-u96.3%
sub-neg96.3%
log1p-define96.3%
expm1-log1p-u96.3%
sub-neg96.3%
Applied egg-rr96.3%
*-lft-identity96.3%
associate-+l+97.5%
+-commutative97.5%
associate-+l+97.6%
+-commutative97.6%
associate-+r-97.6%
metadata-eval97.6%
associate-+l+97.6%
+-commutative97.6%
associate-+l+97.6%
+-commutative97.6%
associate-+l+97.6%
Simplified97.6%
Taylor expanded in z around 0 96.6%
Final simplification96.6%
(FPCore (z)
:precision binary64
(*
(*
(sqrt (* PI 2.0))
(* (pow (+ (- 1.0 z) 6.5) (- -0.5 (+ z -1.0))) (exp (- (+ z -1.0) 6.5))))
(*
(+
(+
(+
(/ 12.507343278686905 (- 4.0 (+ z -1.0)))
(/ -0.13857109526572012 (+ (- 1.0 z) 5.0)))
(+
(/ 9.984369578019572e-6 (+ (- 1.0 z) 6.0))
(/ 1.5056327351493116e-7 (+ (- 1.0 z) 7.0))))
(+
(/ -176.6150291621406 (- 3.0 (+ z -1.0)))
(+
305.05856935323453
(* z (+ 447.4381671388014 (* z 547.6955004307571))))))
(/ PI (* PI z)))))
double code(double z) {
return (sqrt((((double) M_PI) * 2.0)) * (pow(((1.0 - z) + 6.5), (-0.5 - (z + -1.0))) * exp(((z + -1.0) - 6.5)))) * (((((12.507343278686905 / (4.0 - (z + -1.0))) + (-0.13857109526572012 / ((1.0 - z) + 5.0))) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))) + ((-176.6150291621406 / (3.0 - (z + -1.0))) + (305.05856935323453 + (z * (447.4381671388014 + (z * 547.6955004307571)))))) * (((double) M_PI) / (((double) M_PI) * z)));
}
public static double code(double z) {
return (Math.sqrt((Math.PI * 2.0)) * (Math.pow(((1.0 - z) + 6.5), (-0.5 - (z + -1.0))) * Math.exp(((z + -1.0) - 6.5)))) * (((((12.507343278686905 / (4.0 - (z + -1.0))) + (-0.13857109526572012 / ((1.0 - z) + 5.0))) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))) + ((-176.6150291621406 / (3.0 - (z + -1.0))) + (305.05856935323453 + (z * (447.4381671388014 + (z * 547.6955004307571)))))) * (Math.PI / (Math.PI * z)));
}
def code(z): return (math.sqrt((math.pi * 2.0)) * (math.pow(((1.0 - z) + 6.5), (-0.5 - (z + -1.0))) * math.exp(((z + -1.0) - 6.5)))) * (((((12.507343278686905 / (4.0 - (z + -1.0))) + (-0.13857109526572012 / ((1.0 - z) + 5.0))) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))) + ((-176.6150291621406 / (3.0 - (z + -1.0))) + (305.05856935323453 + (z * (447.4381671388014 + (z * 547.6955004307571)))))) * (math.pi / (math.pi * z)))
function code(z) return Float64(Float64(sqrt(Float64(pi * 2.0)) * Float64((Float64(Float64(1.0 - z) + 6.5) ^ Float64(-0.5 - Float64(z + -1.0))) * exp(Float64(Float64(z + -1.0) - 6.5)))) * Float64(Float64(Float64(Float64(Float64(12.507343278686905 / Float64(4.0 - Float64(z + -1.0))) + 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)))) + Float64(Float64(-176.6150291621406 / Float64(3.0 - Float64(z + -1.0))) + Float64(305.05856935323453 + Float64(z * Float64(447.4381671388014 + Float64(z * 547.6955004307571)))))) * Float64(pi / Float64(pi * z)))) end
function tmp = code(z) tmp = (sqrt((pi * 2.0)) * ((((1.0 - z) + 6.5) ^ (-0.5 - (z + -1.0))) * exp(((z + -1.0) - 6.5)))) * (((((12.507343278686905 / (4.0 - (z + -1.0))) + (-0.13857109526572012 / ((1.0 - z) + 5.0))) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))) + ((-176.6150291621406 / (3.0 - (z + -1.0))) + (305.05856935323453 + (z * (447.4381671388014 + (z * 547.6955004307571)))))) * (pi / (pi * z))); end
code[z_] := N[(N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[Power[N[(N[(1.0 - z), $MachinePrecision] + 6.5), $MachinePrecision], N[(-0.5 - N[(z + -1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(N[(z + -1.0), $MachinePrecision] - 6.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(N[(12.507343278686905 / N[(4.0 - N[(z + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(N[(1.0 - z), $MachinePrecision] + 5.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(9.984369578019572e-6 / N[(N[(1.0 - z), $MachinePrecision] + 6.0), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(N[(1.0 - z), $MachinePrecision] + 7.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(-176.6150291621406 / N[(3.0 - N[(z + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(305.05856935323453 + N[(z * N[(447.4381671388014 + N[(z * 547.6955004307571), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(Pi / N[(Pi * z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\sqrt{\pi \cdot 2} \cdot \left({\left(\left(1 - z\right) + 6.5\right)}^{\left(-0.5 - \left(z + -1\right)\right)} \cdot e^{\left(z + -1\right) - 6.5}\right)\right) \cdot \left(\left(\left(\left(\frac{12.507343278686905}{4 - \left(z + -1\right)} + \frac{-0.13857109526572012}{\left(1 - z\right) + 5}\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) + \left(\frac{-176.6150291621406}{3 - \left(z + -1\right)} + \left(305.05856935323453 + z \cdot \left(447.4381671388014 + z \cdot 547.6955004307571\right)\right)\right)\right) \cdot \frac{\pi}{\pi \cdot z}\right)
\end{array}
Initial program 96.2%
Simplified96.3%
Taylor expanded in z around 0 96.9%
*-commutative96.9%
Simplified96.9%
Taylor expanded in z around 0 96.4%
Final simplification96.4%
(FPCore (z)
:precision binary64
(*
(*
(sqrt (* PI 2.0))
(* (pow (+ (- 1.0 z) 6.5) (- -0.5 (+ z -1.0))) (exp (- (+ z -1.0) 6.5))))
(*
(/ 1.0 z)
(+
(+
(+
(/ 12.507343278686905 (- 4.0 (+ z -1.0)))
(/ -0.13857109526572012 (+ (- 1.0 z) 5.0)))
(+
(/ 9.984369578019572e-6 (+ (- 1.0 z) 6.0))
(/ 1.5056327351493116e-7 (+ (- 1.0 z) 7.0))))
(+
(/ -176.6150291621406 (- 3.0 (+ z -1.0)))
(+
305.05856935323453
(* z (+ 447.4381671388014 (* z 547.6955004307571)))))))))
double code(double z) {
return (sqrt((((double) M_PI) * 2.0)) * (pow(((1.0 - z) + 6.5), (-0.5 - (z + -1.0))) * exp(((z + -1.0) - 6.5)))) * ((1.0 / z) * ((((12.507343278686905 / (4.0 - (z + -1.0))) + (-0.13857109526572012 / ((1.0 - z) + 5.0))) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))) + ((-176.6150291621406 / (3.0 - (z + -1.0))) + (305.05856935323453 + (z * (447.4381671388014 + (z * 547.6955004307571)))))));
}
public static double code(double z) {
return (Math.sqrt((Math.PI * 2.0)) * (Math.pow(((1.0 - z) + 6.5), (-0.5 - (z + -1.0))) * Math.exp(((z + -1.0) - 6.5)))) * ((1.0 / z) * ((((12.507343278686905 / (4.0 - (z + -1.0))) + (-0.13857109526572012 / ((1.0 - z) + 5.0))) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))) + ((-176.6150291621406 / (3.0 - (z + -1.0))) + (305.05856935323453 + (z * (447.4381671388014 + (z * 547.6955004307571)))))));
}
def code(z): return (math.sqrt((math.pi * 2.0)) * (math.pow(((1.0 - z) + 6.5), (-0.5 - (z + -1.0))) * math.exp(((z + -1.0) - 6.5)))) * ((1.0 / z) * ((((12.507343278686905 / (4.0 - (z + -1.0))) + (-0.13857109526572012 / ((1.0 - z) + 5.0))) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))) + ((-176.6150291621406 / (3.0 - (z + -1.0))) + (305.05856935323453 + (z * (447.4381671388014 + (z * 547.6955004307571)))))))
function code(z) return Float64(Float64(sqrt(Float64(pi * 2.0)) * Float64((Float64(Float64(1.0 - z) + 6.5) ^ Float64(-0.5 - Float64(z + -1.0))) * exp(Float64(Float64(z + -1.0) - 6.5)))) * Float64(Float64(1.0 / z) * Float64(Float64(Float64(Float64(12.507343278686905 / Float64(4.0 - Float64(z + -1.0))) + 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)))) + Float64(Float64(-176.6150291621406 / Float64(3.0 - Float64(z + -1.0))) + Float64(305.05856935323453 + Float64(z * Float64(447.4381671388014 + Float64(z * 547.6955004307571)))))))) end
function tmp = code(z) tmp = (sqrt((pi * 2.0)) * ((((1.0 - z) + 6.5) ^ (-0.5 - (z + -1.0))) * exp(((z + -1.0) - 6.5)))) * ((1.0 / z) * ((((12.507343278686905 / (4.0 - (z + -1.0))) + (-0.13857109526572012 / ((1.0 - z) + 5.0))) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))) + ((-176.6150291621406 / (3.0 - (z + -1.0))) + (305.05856935323453 + (z * (447.4381671388014 + (z * 547.6955004307571))))))); end
code[z_] := N[(N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[Power[N[(N[(1.0 - z), $MachinePrecision] + 6.5), $MachinePrecision], N[(-0.5 - N[(z + -1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(N[(z + -1.0), $MachinePrecision] - 6.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 / z), $MachinePrecision] * N[(N[(N[(N[(12.507343278686905 / N[(4.0 - N[(z + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(N[(1.0 - z), $MachinePrecision] + 5.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(9.984369578019572e-6 / N[(N[(1.0 - z), $MachinePrecision] + 6.0), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(N[(1.0 - z), $MachinePrecision] + 7.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(-176.6150291621406 / N[(3.0 - N[(z + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(305.05856935323453 + N[(z * N[(447.4381671388014 + N[(z * 547.6955004307571), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\sqrt{\pi \cdot 2} \cdot \left({\left(\left(1 - z\right) + 6.5\right)}^{\left(-0.5 - \left(z + -1\right)\right)} \cdot e^{\left(z + -1\right) - 6.5}\right)\right) \cdot \left(\frac{1}{z} \cdot \left(\left(\left(\frac{12.507343278686905}{4 - \left(z + -1\right)} + \frac{-0.13857109526572012}{\left(1 - z\right) + 5}\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) + \left(\frac{-176.6150291621406}{3 - \left(z + -1\right)} + \left(305.05856935323453 + z \cdot \left(447.4381671388014 + z \cdot 547.6955004307571\right)\right)\right)\right)\right)
\end{array}
Initial program 96.2%
Simplified96.3%
Taylor expanded in z around 0 96.9%
*-commutative96.9%
Simplified96.9%
Taylor expanded in z around 0 96.4%
Final simplification96.4%
(FPCore (z)
:precision binary64
(*
(* (* (pow (- 7.5 z) (- 0.5 z)) (exp (+ z -7.5))) (sqrt (* PI 2.0)))
(*
(+
263.3831869810514
(*
z
(+
436.8961725563396
(* z (+ 545.0353078428827 (* z 606.6766809167608))))))
(/ 1.0 z))))
double code(double z) {
return ((pow((7.5 - z), (0.5 - z)) * exp((z + -7.5))) * sqrt((((double) M_PI) * 2.0))) * ((263.3831869810514 + (z * (436.8961725563396 + (z * (545.0353078428827 + (z * 606.6766809167608)))))) * (1.0 / z));
}
public static double code(double z) {
return ((Math.pow((7.5 - z), (0.5 - z)) * Math.exp((z + -7.5))) * Math.sqrt((Math.PI * 2.0))) * ((263.3831869810514 + (z * (436.8961725563396 + (z * (545.0353078428827 + (z * 606.6766809167608)))))) * (1.0 / z));
}
def code(z): return ((math.pow((7.5 - z), (0.5 - z)) * math.exp((z + -7.5))) * math.sqrt((math.pi * 2.0))) * ((263.3831869810514 + (z * (436.8961725563396 + (z * (545.0353078428827 + (z * 606.6766809167608)))))) * (1.0 / z))
function code(z) return Float64(Float64(Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * exp(Float64(z + -7.5))) * sqrt(Float64(pi * 2.0))) * Float64(Float64(263.3831869810514 + Float64(z * Float64(436.8961725563396 + Float64(z * Float64(545.0353078428827 + Float64(z * 606.6766809167608)))))) * Float64(1.0 / z))) end
function tmp = code(z) tmp = ((((7.5 - z) ^ (0.5 - z)) * exp((z + -7.5))) * sqrt((pi * 2.0))) * ((263.3831869810514 + (z * (436.8961725563396 + (z * (545.0353078428827 + (z * 606.6766809167608)))))) * (1.0 / z)); end
code[z_] := N[(N[(N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(263.3831869810514 + N[(z * N[(436.8961725563396 + N[(z * N[(545.0353078428827 + N[(z * 606.6766809167608), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot e^{z + -7.5}\right) \cdot \sqrt{\pi \cdot 2}\right) \cdot \left(\left(263.3831869810514 + z \cdot \left(436.8961725563396 + z \cdot \left(545.0353078428827 + z \cdot 606.6766809167608\right)\right)\right) \cdot \frac{1}{z}\right)
\end{array}
Initial program 96.2%
Simplified96.4%
Taylor expanded in z around 0 96.9%
*-commutative96.9%
Simplified96.9%
Taylor expanded in z around 0 96.4%
Final simplification96.4%
(FPCore (z) :precision binary64 (* (* (* (pow (- 7.5 z) (- 0.5 z)) (exp (+ z -7.5))) (sqrt (* PI 2.0))) (/ (+ 263.3831869810514 (* z 436.8961725563396)) z)))
double code(double z) {
return ((pow((7.5 - z), (0.5 - z)) * exp((z + -7.5))) * sqrt((((double) M_PI) * 2.0))) * ((263.3831869810514 + (z * 436.8961725563396)) / z);
}
public static double code(double z) {
return ((Math.pow((7.5 - z), (0.5 - z)) * Math.exp((z + -7.5))) * Math.sqrt((Math.PI * 2.0))) * ((263.3831869810514 + (z * 436.8961725563396)) / z);
}
def code(z): return ((math.pow((7.5 - z), (0.5 - z)) * math.exp((z + -7.5))) * math.sqrt((math.pi * 2.0))) * ((263.3831869810514 + (z * 436.8961725563396)) / z)
function code(z) return Float64(Float64(Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * exp(Float64(z + -7.5))) * sqrt(Float64(pi * 2.0))) * Float64(Float64(263.3831869810514 + Float64(z * 436.8961725563396)) / z)) end
function tmp = code(z) tmp = ((((7.5 - z) ^ (0.5 - z)) * exp((z + -7.5))) * sqrt((pi * 2.0))) * ((263.3831869810514 + (z * 436.8961725563396)) / z); end
code[z_] := N[(N[(N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(263.3831869810514 + N[(z * 436.8961725563396), $MachinePrecision]), $MachinePrecision] / z), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot e^{z + -7.5}\right) \cdot \sqrt{\pi \cdot 2}\right) \cdot \frac{263.3831869810514 + z \cdot 436.8961725563396}{z}
\end{array}
Initial program 96.2%
Simplified96.4%
Taylor expanded in z around 0 96.9%
*-commutative96.9%
Simplified96.9%
Taylor expanded in z around 0 96.4%
*-commutative96.4%
Simplified96.4%
Final simplification96.4%
(FPCore (z) :precision binary64 (* (* (* (pow (- 7.5 z) (- 0.5 z)) (exp (+ z -7.5))) (sqrt (* PI 2.0))) (/ 263.3831869810514 z)))
double code(double z) {
return ((pow((7.5 - z), (0.5 - z)) * exp((z + -7.5))) * sqrt((((double) M_PI) * 2.0))) * (263.3831869810514 / z);
}
public static double code(double z) {
return ((Math.pow((7.5 - z), (0.5 - z)) * Math.exp((z + -7.5))) * Math.sqrt((Math.PI * 2.0))) * (263.3831869810514 / z);
}
def code(z): return ((math.pow((7.5 - z), (0.5 - z)) * math.exp((z + -7.5))) * math.sqrt((math.pi * 2.0))) * (263.3831869810514 / z)
function code(z) return Float64(Float64(Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * exp(Float64(z + -7.5))) * sqrt(Float64(pi * 2.0))) * Float64(263.3831869810514 / z)) end
function tmp = code(z) tmp = ((((7.5 - z) ^ (0.5 - z)) * exp((z + -7.5))) * sqrt((pi * 2.0))) * (263.3831869810514 / z); end
code[z_] := N[(N[(N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(263.3831869810514 / z), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot e^{z + -7.5}\right) \cdot \sqrt{\pi \cdot 2}\right) \cdot \frac{263.3831869810514}{z}
\end{array}
Initial program 96.2%
Simplified96.4%
Taylor expanded in z around 0 96.9%
*-commutative96.9%
Simplified96.9%
Taylor expanded in z around 0 95.0%
Final simplification95.0%
(FPCore (z) :precision binary64 (* (exp -7.5) (* (sqrt (* PI 2.0)) (* (sqrt 7.5) (/ 0.9999999999998099 z)))))
double code(double z) {
return exp(-7.5) * (sqrt((((double) M_PI) * 2.0)) * (sqrt(7.5) * (0.9999999999998099 / z)));
}
public static double code(double z) {
return Math.exp(-7.5) * (Math.sqrt((Math.PI * 2.0)) * (Math.sqrt(7.5) * (0.9999999999998099 / z)));
}
def code(z): return math.exp(-7.5) * (math.sqrt((math.pi * 2.0)) * (math.sqrt(7.5) * (0.9999999999998099 / z)))
function code(z) return Float64(exp(-7.5) * Float64(sqrt(Float64(pi * 2.0)) * Float64(sqrt(7.5) * Float64(0.9999999999998099 / z)))) end
function tmp = code(z) tmp = exp(-7.5) * (sqrt((pi * 2.0)) * (sqrt(7.5) * (0.9999999999998099 / z))); end
code[z_] := N[(N[Exp[-7.5], $MachinePrecision] * N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[Sqrt[7.5], $MachinePrecision] * N[(0.9999999999998099 / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
e^{-7.5} \cdot \left(\sqrt{\pi \cdot 2} \cdot \left(\sqrt{7.5} \cdot \frac{0.9999999999998099}{z}\right)\right)
\end{array}
Initial program 96.2%
Simplified96.4%
Taylor expanded in z around inf 13.9%
Taylor expanded in z around 0 13.9%
Taylor expanded in z around 0 13.9%
pow113.9%
associate-*l*13.9%
*-commutative13.9%
associate-*l/13.9%
metadata-eval13.9%
Applied egg-rr13.9%
unpow113.9%
*-commutative13.9%
associate-*l*13.9%
associate-*l*13.9%
Simplified13.9%
Final simplification13.9%
herbie shell --seed 2024087
(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))))))