
(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 14 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
(*
(*
PI
(/
(*
(* (pow (- 7.5 z) (- 0.5 z)) (exp (+ -0.5 (- z 7.0))))
(sqrt (* PI 2.0)))
(sin (* PI z))))
(+
(+
(+
(+
(+ 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 (+ -5.0 (+ z -1.0)))))
(+
(/ 9.984369578019572e-6 (- (- 1.0 z) -6.0))
(/ 1.5056327351493116e-7 (- (- 1.0 z) -7.0))))))
double code(double z) {
return (((double) M_PI) * (((pow((7.5 - z), (0.5 - z)) * exp((-0.5 + (z - 7.0)))) * sqrt((((double) M_PI) * 2.0))) / sin((((double) M_PI) * z)))) * (((((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 / (-5.0 + (z + -1.0))))) + ((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0))));
}
public static double code(double z) {
return (Math.PI * (((Math.pow((7.5 - z), (0.5 - z)) * Math.exp((-0.5 + (z - 7.0)))) * Math.sqrt((Math.PI * 2.0))) / Math.sin((Math.PI * z)))) * (((((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 / (-5.0 + (z + -1.0))))) + ((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0))));
}
def code(z): return (math.pi * (((math.pow((7.5 - z), (0.5 - z)) * math.exp((-0.5 + (z - 7.0)))) * math.sqrt((math.pi * 2.0))) / math.sin((math.pi * z)))) * (((((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 / (-5.0 + (z + -1.0))))) + ((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0))))
function code(z) return Float64(Float64(pi * Float64(Float64(Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * exp(Float64(-0.5 + Float64(z - 7.0)))) * sqrt(Float64(pi * 2.0))) / sin(Float64(pi * z)))) * Float64(Float64(Float64(Float64(Float64(0.9999999999998099 + 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(Float64(12.507343278686905 / Float64(Float64(1.0 - z) - -4.0)) - Float64(-0.13857109526572012 / Float64(-5.0 + Float64(z + -1.0))))) + Float64(Float64(9.984369578019572e-6 / Float64(Float64(1.0 - z) - -6.0)) + Float64(1.5056327351493116e-7 / Float64(Float64(1.0 - z) - -7.0))))) end
function tmp = code(z) tmp = (pi * (((((7.5 - z) ^ (0.5 - z)) * exp((-0.5 + (z - 7.0)))) * sqrt((pi * 2.0))) / sin((pi * z)))) * (((((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 / (-5.0 + (z + -1.0))))) + ((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0)))); end
code[z_] := N[(N[(Pi * N[(N[(N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(-0.5 + N[(z - 7.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[Sin[N[(Pi * z), $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[(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] + N[(N[(12.507343278686905 / N[(N[(1.0 - z), $MachinePrecision] - -4.0), $MachinePrecision]), $MachinePrecision] - N[(-0.13857109526572012 / N[(-5.0 + N[(z + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(9.984369578019572e-6 / N[(N[(1.0 - z), $MachinePrecision] - -6.0), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(N[(1.0 - z), $MachinePrecision] - -7.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\pi \cdot \frac{\left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot e^{-0.5 + \left(z - 7\right)}\right) \cdot \sqrt{\pi \cdot 2}}{\sin \left(\pi \cdot z\right)}\right) \cdot \left(\left(\left(\left(\left(0.9999999999998099 + \frac{676.5203681218851}{1 - z}\right) + \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) + \left(\frac{12.507343278686905}{\left(1 - z\right) - -4} - \frac{-0.13857109526572012}{-5 + \left(z + -1\right)}\right)\right) + \left(\frac{9.984369578019572 \cdot 10^{-6}}{\left(1 - z\right) - -6} + \frac{1.5056327351493116 \cdot 10^{-7}}{\left(1 - z\right) - -7}\right)\right)
\end{array}
Initial program 96.5%
Simplified98.3%
associate-*l/98.5%
Applied egg-rr98.5%
associate-/l*98.3%
Simplified98.3%
Final simplification98.3%
(FPCore (z)
:precision binary64
(*
PI
(*
(/
(* (* (pow (- 7.5 z) (- 0.5 z)) (exp (+ z -7.5))) (sqrt (* PI 2.0)))
(sin (* PI z)))
(+
(-
0.9999999999998099
(+ (/ 676.5203681218851 (+ z -1.0)) (/ -1259.1392167224028 (- z 2.0))))
(-
(+ (/ 771.3234287776531 (- 3.0 z)) (/ -176.6150291621406 (- 4.0 z)))
(-
(/ 12.507343278686905 (- z 5.0))
(+
(+
(/ -0.13857109526572012 (- 6.0 z))
(/ 1.5056327351493116e-7 (- 8.0 z)))
(/ 9.984369578019572e-6 (- 7.0 z)))))))))
double code(double z) {
return ((double) M_PI) * ((((pow((7.5 - z), (0.5 - z)) * exp((z + -7.5))) * sqrt((((double) M_PI) * 2.0))) / sin((((double) M_PI) * z))) * ((0.9999999999998099 - ((676.5203681218851 / (z + -1.0)) + (-1259.1392167224028 / (z - 2.0)))) + (((771.3234287776531 / (3.0 - z)) + (-176.6150291621406 / (4.0 - z))) - ((12.507343278686905 / (z - 5.0)) - (((-0.13857109526572012 / (6.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + (9.984369578019572e-6 / (7.0 - z)))))));
}
public static double code(double z) {
return Math.PI * ((((Math.pow((7.5 - z), (0.5 - z)) * Math.exp((z + -7.5))) * Math.sqrt((Math.PI * 2.0))) / Math.sin((Math.PI * z))) * ((0.9999999999998099 - ((676.5203681218851 / (z + -1.0)) + (-1259.1392167224028 / (z - 2.0)))) + (((771.3234287776531 / (3.0 - z)) + (-176.6150291621406 / (4.0 - z))) - ((12.507343278686905 / (z - 5.0)) - (((-0.13857109526572012 / (6.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + (9.984369578019572e-6 / (7.0 - z)))))));
}
def code(z): return math.pi * ((((math.pow((7.5 - z), (0.5 - z)) * math.exp((z + -7.5))) * math.sqrt((math.pi * 2.0))) / math.sin((math.pi * z))) * ((0.9999999999998099 - ((676.5203681218851 / (z + -1.0)) + (-1259.1392167224028 / (z - 2.0)))) + (((771.3234287776531 / (3.0 - z)) + (-176.6150291621406 / (4.0 - z))) - ((12.507343278686905 / (z - 5.0)) - (((-0.13857109526572012 / (6.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + (9.984369578019572e-6 / (7.0 - z)))))))
function code(z) return Float64(pi * Float64(Float64(Float64(Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * exp(Float64(z + -7.5))) * sqrt(Float64(pi * 2.0))) / sin(Float64(pi * z))) * Float64(Float64(0.9999999999998099 - Float64(Float64(676.5203681218851 / Float64(z + -1.0)) + Float64(-1259.1392167224028 / Float64(z - 2.0)))) + Float64(Float64(Float64(771.3234287776531 / Float64(3.0 - z)) + Float64(-176.6150291621406 / Float64(4.0 - z))) - Float64(Float64(12.507343278686905 / Float64(z - 5.0)) - Float64(Float64(Float64(-0.13857109526572012 / Float64(6.0 - z)) + Float64(1.5056327351493116e-7 / Float64(8.0 - z))) + Float64(9.984369578019572e-6 / Float64(7.0 - z)))))))) end
function tmp = code(z) tmp = pi * ((((((7.5 - z) ^ (0.5 - z)) * exp((z + -7.5))) * sqrt((pi * 2.0))) / sin((pi * z))) * ((0.9999999999998099 - ((676.5203681218851 / (z + -1.0)) + (-1259.1392167224028 / (z - 2.0)))) + (((771.3234287776531 / (3.0 - z)) + (-176.6150291621406 / (4.0 - z))) - ((12.507343278686905 / (z - 5.0)) - (((-0.13857109526572012 / (6.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + (9.984369578019572e-6 / (7.0 - z))))))); end
code[z_] := N[(Pi * N[(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[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(0.9999999999998099 - N[(N[(676.5203681218851 / N[(z + -1.0), $MachinePrecision]), $MachinePrecision] + N[(-1259.1392167224028 / N[(z - 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(771.3234287776531 / N[(3.0 - z), $MachinePrecision]), $MachinePrecision] + N[(-176.6150291621406 / N[(4.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(12.507343278686905 / N[(z - 5.0), $MachinePrecision]), $MachinePrecision] - N[(N[(N[(-0.13857109526572012 / N[(6.0 - z), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(8.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(9.984369578019572e-6 / N[(7.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\pi \cdot \left(\frac{\left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot e^{z + -7.5}\right) \cdot \sqrt{\pi \cdot 2}}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(0.9999999999998099 - \left(\frac{676.5203681218851}{z + -1} + \frac{-1259.1392167224028}{z - 2}\right)\right) + \left(\left(\frac{771.3234287776531}{3 - z} + \frac{-176.6150291621406}{4 - z}\right) - \left(\frac{12.507343278686905}{z - 5} - \left(\left(\frac{-0.13857109526572012}{6 - z} + \frac{1.5056327351493116 \cdot 10^{-7}}{8 - z}\right) + \frac{9.984369578019572 \cdot 10^{-6}}{7 - z}\right)\right)\right)\right)\right)
\end{array}
Initial program 96.5%
Simplified98.3%
associate-*l/98.5%
Applied egg-rr98.5%
associate-/l*98.3%
Simplified98.3%
Applied egg-rr97.3%
Simplified98.2%
Final simplification98.2%
(FPCore (z)
:precision binary64
(*
(/ PI (sin (* PI z)))
(*
(* (* (pow (- 7.5 z) (- 0.5 z)) (exp (+ -0.5 (- z 7.0)))) (sqrt (* PI 2.0)))
(+
(+
263.3831855358925
(*
z
(+
436.8961723502244
(* z (+ 545.0353078134797 (* z 606.6766809125655))))))
(+
(/ 1.5056327351493116e-7 (- 8.0 z))
(/ 9.984369578019572e-6 (- 7.0 z)))))))
double code(double z) {
return (((double) M_PI) / sin((((double) M_PI) * z))) * (((pow((7.5 - z), (0.5 - z)) * exp((-0.5 + (z - 7.0)))) * sqrt((((double) M_PI) * 2.0))) * ((263.3831855358925 + (z * (436.8961723502244 + (z * (545.0353078134797 + (z * 606.6766809125655)))))) + ((1.5056327351493116e-7 / (8.0 - z)) + (9.984369578019572e-6 / (7.0 - z)))));
}
public static double code(double z) {
return (Math.PI / Math.sin((Math.PI * z))) * (((Math.pow((7.5 - z), (0.5 - z)) * Math.exp((-0.5 + (z - 7.0)))) * Math.sqrt((Math.PI * 2.0))) * ((263.3831855358925 + (z * (436.8961723502244 + (z * (545.0353078134797 + (z * 606.6766809125655)))))) + ((1.5056327351493116e-7 / (8.0 - z)) + (9.984369578019572e-6 / (7.0 - z)))));
}
def code(z): return (math.pi / math.sin((math.pi * z))) * (((math.pow((7.5 - z), (0.5 - z)) * math.exp((-0.5 + (z - 7.0)))) * math.sqrt((math.pi * 2.0))) * ((263.3831855358925 + (z * (436.8961723502244 + (z * (545.0353078134797 + (z * 606.6766809125655)))))) + ((1.5056327351493116e-7 / (8.0 - z)) + (9.984369578019572e-6 / (7.0 - z)))))
function code(z) return Float64(Float64(pi / sin(Float64(pi * z))) * Float64(Float64(Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * exp(Float64(-0.5 + Float64(z - 7.0)))) * sqrt(Float64(pi * 2.0))) * Float64(Float64(263.3831855358925 + Float64(z * Float64(436.8961723502244 + Float64(z * Float64(545.0353078134797 + Float64(z * 606.6766809125655)))))) + Float64(Float64(1.5056327351493116e-7 / Float64(8.0 - z)) + Float64(9.984369578019572e-6 / Float64(7.0 - z)))))) end
function tmp = code(z) tmp = (pi / sin((pi * z))) * (((((7.5 - z) ^ (0.5 - z)) * exp((-0.5 + (z - 7.0)))) * sqrt((pi * 2.0))) * ((263.3831855358925 + (z * (436.8961723502244 + (z * (545.0353078134797 + (z * 606.6766809125655)))))) + ((1.5056327351493116e-7 / (8.0 - z)) + (9.984369578019572e-6 / (7.0 - z))))); end
code[z_] := N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(-0.5 + N[(z - 7.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(263.3831855358925 + N[(z * N[(436.8961723502244 + N[(z * N[(545.0353078134797 + N[(z * 606.6766809125655), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(1.5056327351493116e-7 / N[(8.0 - z), $MachinePrecision]), $MachinePrecision] + N[(9.984369578019572e-6 / N[(7.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot e^{-0.5 + \left(z - 7\right)}\right) \cdot \sqrt{\pi \cdot 2}\right) \cdot \left(\left(263.3831855358925 + z \cdot \left(436.8961723502244 + z \cdot \left(545.0353078134797 + z \cdot 606.6766809125655\right)\right)\right) + \left(\frac{1.5056327351493116 \cdot 10^{-7}}{8 - z} + \frac{9.984369578019572 \cdot 10^{-6}}{7 - z}\right)\right)\right)
\end{array}
Initial program 96.5%
Simplified96.4%
Applied egg-rr96.4%
Simplified97.6%
Taylor expanded in z around 0 98.2%
*-commutative98.2%
Simplified98.2%
Final simplification98.2%
(FPCore (z)
:precision binary64
(*
(/ PI (sin (* PI z)))
(*
(* (* (pow (- 7.5 z) (- 0.5 z)) (exp (+ -0.5 (- z 7.0)))) (sqrt (* PI 2.0)))
(+
(+ (/ 1.5056327351493116e-7 (- 8.0 z)) (/ 9.984369578019572e-6 (- 7.0 z)))
(+
263.3831855358925
(* z (+ 436.8961723502244 (* z 545.0353078134797))))))))
double code(double z) {
return (((double) M_PI) / sin((((double) M_PI) * z))) * (((pow((7.5 - z), (0.5 - z)) * exp((-0.5 + (z - 7.0)))) * sqrt((((double) M_PI) * 2.0))) * (((1.5056327351493116e-7 / (8.0 - z)) + (9.984369578019572e-6 / (7.0 - z))) + (263.3831855358925 + (z * (436.8961723502244 + (z * 545.0353078134797))))));
}
public static double code(double z) {
return (Math.PI / Math.sin((Math.PI * z))) * (((Math.pow((7.5 - z), (0.5 - z)) * Math.exp((-0.5 + (z - 7.0)))) * Math.sqrt((Math.PI * 2.0))) * (((1.5056327351493116e-7 / (8.0 - z)) + (9.984369578019572e-6 / (7.0 - z))) + (263.3831855358925 + (z * (436.8961723502244 + (z * 545.0353078134797))))));
}
def code(z): return (math.pi / math.sin((math.pi * z))) * (((math.pow((7.5 - z), (0.5 - z)) * math.exp((-0.5 + (z - 7.0)))) * math.sqrt((math.pi * 2.0))) * (((1.5056327351493116e-7 / (8.0 - z)) + (9.984369578019572e-6 / (7.0 - z))) + (263.3831855358925 + (z * (436.8961723502244 + (z * 545.0353078134797))))))
function code(z) return Float64(Float64(pi / sin(Float64(pi * z))) * Float64(Float64(Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * exp(Float64(-0.5 + Float64(z - 7.0)))) * sqrt(Float64(pi * 2.0))) * Float64(Float64(Float64(1.5056327351493116e-7 / Float64(8.0 - z)) + Float64(9.984369578019572e-6 / Float64(7.0 - z))) + Float64(263.3831855358925 + Float64(z * Float64(436.8961723502244 + Float64(z * 545.0353078134797))))))) end
function tmp = code(z) tmp = (pi / sin((pi * z))) * (((((7.5 - z) ^ (0.5 - z)) * exp((-0.5 + (z - 7.0)))) * sqrt((pi * 2.0))) * (((1.5056327351493116e-7 / (8.0 - z)) + (9.984369578019572e-6 / (7.0 - z))) + (263.3831855358925 + (z * (436.8961723502244 + (z * 545.0353078134797)))))); end
code[z_] := N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(-0.5 + N[(z - 7.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(1.5056327351493116e-7 / N[(8.0 - z), $MachinePrecision]), $MachinePrecision] + N[(9.984369578019572e-6 / N[(7.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(263.3831855358925 + N[(z * N[(436.8961723502244 + N[(z * 545.0353078134797), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot e^{-0.5 + \left(z - 7\right)}\right) \cdot \sqrt{\pi \cdot 2}\right) \cdot \left(\left(\frac{1.5056327351493116 \cdot 10^{-7}}{8 - z} + \frac{9.984369578019572 \cdot 10^{-6}}{7 - z}\right) + \left(263.3831855358925 + z \cdot \left(436.8961723502244 + z \cdot 545.0353078134797\right)\right)\right)\right)
\end{array}
Initial program 96.5%
Simplified96.4%
Applied egg-rr96.4%
Simplified97.6%
Taylor expanded in z around 0 98.0%
*-commutative98.0%
Simplified98.0%
Final simplification98.0%
(FPCore (z)
:precision binary64
(*
(*
PI
(/
(*
(* (pow (- 7.5 z) (- 0.5 z)) (exp (+ -0.5 (- z 7.0))))
(sqrt (* PI 2.0)))
(sin (* PI z))))
(+
(+
263.3831855358925
(*
z
(+
436.8961723502244
(* z (+ 545.0353078134797 (* z 606.6766809125655))))))
(+ 1.4451589203350195e-6 (* z 2.0611519559804982e-7)))))
double code(double z) {
return (((double) M_PI) * (((pow((7.5 - z), (0.5 - z)) * exp((-0.5 + (z - 7.0)))) * sqrt((((double) M_PI) * 2.0))) / sin((((double) M_PI) * z)))) * ((263.3831855358925 + (z * (436.8961723502244 + (z * (545.0353078134797 + (z * 606.6766809125655)))))) + (1.4451589203350195e-6 + (z * 2.0611519559804982e-7)));
}
public static double code(double z) {
return (Math.PI * (((Math.pow((7.5 - z), (0.5 - z)) * Math.exp((-0.5 + (z - 7.0)))) * Math.sqrt((Math.PI * 2.0))) / Math.sin((Math.PI * z)))) * ((263.3831855358925 + (z * (436.8961723502244 + (z * (545.0353078134797 + (z * 606.6766809125655)))))) + (1.4451589203350195e-6 + (z * 2.0611519559804982e-7)));
}
def code(z): return (math.pi * (((math.pow((7.5 - z), (0.5 - z)) * math.exp((-0.5 + (z - 7.0)))) * math.sqrt((math.pi * 2.0))) / math.sin((math.pi * z)))) * ((263.3831855358925 + (z * (436.8961723502244 + (z * (545.0353078134797 + (z * 606.6766809125655)))))) + (1.4451589203350195e-6 + (z * 2.0611519559804982e-7)))
function code(z) return Float64(Float64(pi * Float64(Float64(Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * exp(Float64(-0.5 + Float64(z - 7.0)))) * sqrt(Float64(pi * 2.0))) / sin(Float64(pi * z)))) * Float64(Float64(263.3831855358925 + Float64(z * Float64(436.8961723502244 + Float64(z * Float64(545.0353078134797 + Float64(z * 606.6766809125655)))))) + Float64(1.4451589203350195e-6 + Float64(z * 2.0611519559804982e-7)))) end
function tmp = code(z) tmp = (pi * (((((7.5 - z) ^ (0.5 - z)) * exp((-0.5 + (z - 7.0)))) * sqrt((pi * 2.0))) / sin((pi * z)))) * ((263.3831855358925 + (z * (436.8961723502244 + (z * (545.0353078134797 + (z * 606.6766809125655)))))) + (1.4451589203350195e-6 + (z * 2.0611519559804982e-7))); end
code[z_] := N[(N[(Pi * N[(N[(N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(-0.5 + N[(z - 7.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(263.3831855358925 + N[(z * N[(436.8961723502244 + N[(z * N[(545.0353078134797 + N[(z * 606.6766809125655), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.4451589203350195e-6 + N[(z * 2.0611519559804982e-7), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\pi \cdot \frac{\left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot e^{-0.5 + \left(z - 7\right)}\right) \cdot \sqrt{\pi \cdot 2}}{\sin \left(\pi \cdot z\right)}\right) \cdot \left(\left(263.3831855358925 + z \cdot \left(436.8961723502244 + z \cdot \left(545.0353078134797 + z \cdot 606.6766809125655\right)\right)\right) + \left(1.4451589203350195 \cdot 10^{-6} + z \cdot 2.0611519559804982 \cdot 10^{-7}\right)\right)
\end{array}
Initial program 96.5%
Simplified98.3%
associate-*l/98.5%
Applied egg-rr98.5%
associate-/l*98.3%
Simplified98.3%
Taylor expanded in z around 0 98.0%
*-commutative98.0%
Simplified98.0%
Taylor expanded in z around 0 98.0%
*-commutative98.0%
Simplified98.0%
Final simplification98.0%
(FPCore (z)
:precision binary64
(*
(*
PI
(/
(*
(* (pow (- 7.5 z) (- 0.5 z)) (exp (+ -0.5 (- z 7.0))))
(sqrt (* PI 2.0)))
(sin (* PI z))))
(+
263.3831869810514
(*
z
(+
436.8961725563396
(* z (+ 545.0353078428827 (* z 606.6766809167608))))))))
double code(double z) {
return (((double) M_PI) * (((pow((7.5 - z), (0.5 - z)) * exp((-0.5 + (z - 7.0)))) * sqrt((((double) M_PI) * 2.0))) / sin((((double) M_PI) * z)))) * (263.3831869810514 + (z * (436.8961725563396 + (z * (545.0353078428827 + (z * 606.6766809167608))))));
}
public static double code(double z) {
return (Math.PI * (((Math.pow((7.5 - z), (0.5 - z)) * Math.exp((-0.5 + (z - 7.0)))) * Math.sqrt((Math.PI * 2.0))) / Math.sin((Math.PI * z)))) * (263.3831869810514 + (z * (436.8961725563396 + (z * (545.0353078428827 + (z * 606.6766809167608))))));
}
def code(z): return (math.pi * (((math.pow((7.5 - z), (0.5 - z)) * math.exp((-0.5 + (z - 7.0)))) * math.sqrt((math.pi * 2.0))) / math.sin((math.pi * z)))) * (263.3831869810514 + (z * (436.8961725563396 + (z * (545.0353078428827 + (z * 606.6766809167608))))))
function code(z) return Float64(Float64(pi * Float64(Float64(Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * exp(Float64(-0.5 + Float64(z - 7.0)))) * sqrt(Float64(pi * 2.0))) / sin(Float64(pi * z)))) * Float64(263.3831869810514 + Float64(z * Float64(436.8961725563396 + Float64(z * Float64(545.0353078428827 + Float64(z * 606.6766809167608))))))) end
function tmp = code(z) tmp = (pi * (((((7.5 - z) ^ (0.5 - z)) * exp((-0.5 + (z - 7.0)))) * sqrt((pi * 2.0))) / sin((pi * z)))) * (263.3831869810514 + (z * (436.8961725563396 + (z * (545.0353078428827 + (z * 606.6766809167608)))))); end
code[z_] := N[(N[(Pi * N[(N[(N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(-0.5 + N[(z - 7.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[Sin[N[(Pi * z), $MachinePrecision]], $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]
\begin{array}{l}
\\
\left(\pi \cdot \frac{\left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot e^{-0.5 + \left(z - 7\right)}\right) \cdot \sqrt{\pi \cdot 2}}{\sin \left(\pi \cdot z\right)}\right) \cdot \left(263.3831869810514 + z \cdot \left(436.8961725563396 + z \cdot \left(545.0353078428827 + z \cdot 606.6766809167608\right)\right)\right)
\end{array}
Initial program 96.5%
Simplified98.3%
associate-*l/98.5%
Applied egg-rr98.5%
associate-/l*98.3%
Simplified98.3%
Taylor expanded in z around 0 97.7%
*-commutative97.7%
Simplified97.7%
Final simplification97.7%
(FPCore (z)
:precision binary64
(*
(*
PI
(/
1.0
(/
(sin (* PI z))
(* (* (pow (- 7.5 z) (- 0.5 z)) (exp (+ z -7.5))) (sqrt (* PI 2.0))))))
(+ 263.3831869810514 (* z (+ 436.8961725563396 (* z 545.0353078428827))))))
double code(double z) {
return (((double) M_PI) * (1.0 / (sin((((double) M_PI) * z)) / ((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))));
}
public static double code(double z) {
return (Math.PI * (1.0 / (Math.sin((Math.PI * z)) / ((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))));
}
def code(z): return (math.pi * (1.0 / (math.sin((math.pi * z)) / ((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))))
function code(z) return Float64(Float64(pi * Float64(1.0 / Float64(sin(Float64(pi * z)) / Float64(Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * exp(Float64(z + -7.5))) * sqrt(Float64(pi * 2.0)))))) * Float64(263.3831869810514 + Float64(z * Float64(436.8961725563396 + Float64(z * 545.0353078428827))))) end
function tmp = code(z) tmp = (pi * (1.0 / (sin((pi * z)) / ((((7.5 - z) ^ (0.5 - z)) * exp((z + -7.5))) * sqrt((pi * 2.0)))))) * (263.3831869810514 + (z * (436.8961725563396 + (z * 545.0353078428827)))); end
code[z_] := N[(N[(Pi * N[(1.0 / N[(N[Sin[N[(Pi * z), $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]), $MachinePrecision]), $MachinePrecision] * N[(263.3831869810514 + N[(z * N[(436.8961725563396 + N[(z * 545.0353078428827), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\pi \cdot \frac{1}{\frac{\sin \left(\pi \cdot z\right)}{\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(263.3831869810514 + z \cdot \left(436.8961725563396 + z \cdot 545.0353078428827\right)\right)
\end{array}
Initial program 96.5%
Simplified98.3%
associate-*l/98.5%
Applied egg-rr98.5%
associate-/l*98.3%
Simplified98.3%
Taylor expanded in z around 0 97.5%
*-commutative97.5%
Simplified97.5%
clear-num97.6%
inv-pow97.6%
*-commutative97.6%
associate-*r*97.6%
associate--r-97.6%
metadata-eval97.6%
Applied egg-rr97.6%
unpow-197.6%
associate-*l*97.6%
*-commutative97.6%
Simplified97.6%
Final simplification97.6%
(FPCore (z)
:precision binary64
(*
(+ 263.3831869810514 (* z (+ 436.8961725563396 (* z 545.0353078428827))))
(*
PI
(*
(sqrt (* PI 2.0))
(* (pow (- 7.5 z) (- 0.5 z)) (/ (exp (+ z -7.5)) (sin (* PI z))))))))
double code(double z) {
return (263.3831869810514 + (z * (436.8961725563396 + (z * 545.0353078428827)))) * (((double) M_PI) * (sqrt((((double) M_PI) * 2.0)) * (pow((7.5 - z), (0.5 - z)) * (exp((z + -7.5)) / sin((((double) M_PI) * z))))));
}
public static double code(double z) {
return (263.3831869810514 + (z * (436.8961725563396 + (z * 545.0353078428827)))) * (Math.PI * (Math.sqrt((Math.PI * 2.0)) * (Math.pow((7.5 - z), (0.5 - z)) * (Math.exp((z + -7.5)) / Math.sin((Math.PI * z))))));
}
def code(z): return (263.3831869810514 + (z * (436.8961725563396 + (z * 545.0353078428827)))) * (math.pi * (math.sqrt((math.pi * 2.0)) * (math.pow((7.5 - z), (0.5 - z)) * (math.exp((z + -7.5)) / math.sin((math.pi * z))))))
function code(z) return Float64(Float64(263.3831869810514 + Float64(z * Float64(436.8961725563396 + Float64(z * 545.0353078428827)))) * Float64(pi * Float64(sqrt(Float64(pi * 2.0)) * Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * Float64(exp(Float64(z + -7.5)) / sin(Float64(pi * z))))))) end
function tmp = code(z) tmp = (263.3831869810514 + (z * (436.8961725563396 + (z * 545.0353078428827)))) * (pi * (sqrt((pi * 2.0)) * (((7.5 - z) ^ (0.5 - z)) * (exp((z + -7.5)) / sin((pi * z)))))); end
code[z_] := N[(N[(263.3831869810514 + N[(z * N[(436.8961725563396 + N[(z * 545.0353078428827), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(Pi * N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[(N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision] / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(263.3831869810514 + z \cdot \left(436.8961725563396 + z \cdot 545.0353078428827\right)\right) \cdot \left(\pi \cdot \left(\sqrt{\pi \cdot 2} \cdot \left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot \frac{e^{z + -7.5}}{\sin \left(\pi \cdot z\right)}\right)\right)\right)
\end{array}
Initial program 96.5%
Simplified98.3%
associate-*l/98.5%
Applied egg-rr98.5%
associate-/l*98.3%
Simplified98.3%
Taylor expanded in z around 0 97.5%
*-commutative97.5%
Simplified97.5%
associate-*r/97.3%
associate-*r*97.3%
associate--r-97.3%
metadata-eval97.3%
*-commutative97.3%
Applied egg-rr97.3%
associate-*r/97.5%
associate-*l*97.5%
associate-*r/97.6%
*-commutative97.6%
associate-/l*97.5%
Simplified97.5%
Final simplification97.5%
(FPCore (z)
:precision binary64
(*
(*
PI
(/
(*
(* (pow (- 7.5 z) (- 0.5 z)) (exp (+ -0.5 (- z 7.0))))
(sqrt (* PI 2.0)))
(sin (* PI z))))
(+ 263.3831869810514 (* z 436.8961725563396))))
double code(double z) {
return (((double) M_PI) * (((pow((7.5 - z), (0.5 - z)) * exp((-0.5 + (z - 7.0)))) * sqrt((((double) M_PI) * 2.0))) / sin((((double) M_PI) * z)))) * (263.3831869810514 + (z * 436.8961725563396));
}
public static double code(double z) {
return (Math.PI * (((Math.pow((7.5 - z), (0.5 - z)) * Math.exp((-0.5 + (z - 7.0)))) * Math.sqrt((Math.PI * 2.0))) / Math.sin((Math.PI * z)))) * (263.3831869810514 + (z * 436.8961725563396));
}
def code(z): return (math.pi * (((math.pow((7.5 - z), (0.5 - z)) * math.exp((-0.5 + (z - 7.0)))) * math.sqrt((math.pi * 2.0))) / math.sin((math.pi * z)))) * (263.3831869810514 + (z * 436.8961725563396))
function code(z) return Float64(Float64(pi * Float64(Float64(Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * exp(Float64(-0.5 + Float64(z - 7.0)))) * sqrt(Float64(pi * 2.0))) / sin(Float64(pi * z)))) * Float64(263.3831869810514 + Float64(z * 436.8961725563396))) end
function tmp = code(z) tmp = (pi * (((((7.5 - z) ^ (0.5 - z)) * exp((-0.5 + (z - 7.0)))) * sqrt((pi * 2.0))) / sin((pi * z)))) * (263.3831869810514 + (z * 436.8961725563396)); end
code[z_] := N[(N[(Pi * N[(N[(N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(-0.5 + N[(z - 7.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(263.3831869810514 + N[(z * 436.8961725563396), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\pi \cdot \frac{\left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot e^{-0.5 + \left(z - 7\right)}\right) \cdot \sqrt{\pi \cdot 2}}{\sin \left(\pi \cdot z\right)}\right) \cdot \left(263.3831869810514 + z \cdot 436.8961725563396\right)
\end{array}
Initial program 96.5%
Simplified98.3%
associate-*l/98.5%
Applied egg-rr98.5%
associate-/l*98.3%
Simplified98.3%
Taylor expanded in z around 0 97.0%
*-commutative97.0%
Simplified97.0%
Final simplification97.0%
(FPCore (z) :precision binary64 (* 263.3831869810514 (/ (* (* (sqrt PI) (exp -7.5)) (* (sqrt 2.0) (sqrt 7.5))) z)))
double code(double z) {
return 263.3831869810514 * (((sqrt(((double) M_PI)) * exp(-7.5)) * (sqrt(2.0) * sqrt(7.5))) / z);
}
public static double code(double z) {
return 263.3831869810514 * (((Math.sqrt(Math.PI) * Math.exp(-7.5)) * (Math.sqrt(2.0) * Math.sqrt(7.5))) / z);
}
def code(z): return 263.3831869810514 * (((math.sqrt(math.pi) * math.exp(-7.5)) * (math.sqrt(2.0) * math.sqrt(7.5))) / z)
function code(z) return Float64(263.3831869810514 * Float64(Float64(Float64(sqrt(pi) * exp(-7.5)) * Float64(sqrt(2.0) * sqrt(7.5))) / z)) end
function tmp = code(z) tmp = 263.3831869810514 * (((sqrt(pi) * exp(-7.5)) * (sqrt(2.0) * sqrt(7.5))) / z); end
code[z_] := N[(263.3831869810514 * N[(N[(N[(N[Sqrt[Pi], $MachinePrecision] * N[Exp[-7.5], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sqrt[7.5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / z), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
263.3831869810514 \cdot \frac{\left(\sqrt{\pi} \cdot e^{-7.5}\right) \cdot \left(\sqrt{2} \cdot \sqrt{7.5}\right)}{z}
\end{array}
Initial program 96.5%
Simplified98.3%
associate-*l/98.5%
Applied egg-rr98.5%
associate-/l*98.3%
Simplified98.3%
Applied egg-rr97.3%
Simplified98.2%
Taylor expanded in z around 0 96.3%
associate-*l/96.1%
*-commutative96.1%
associate-*r*96.7%
Simplified96.7%
(FPCore (z) :precision binary64 (* (* (sqrt (* PI 2.0)) (* (pow (+ (- 1.0 z) 6.5) (+ -0.5 (- 1.0 z))) (exp (- (+ z -1.0) 6.5)))) (/ (+ 263.3831869810514 (* z 436.8961725563396)) z)))
double code(double z) {
return (sqrt((((double) M_PI) * 2.0)) * (pow(((1.0 - z) + 6.5), (-0.5 + (1.0 - z))) * exp(((z + -1.0) - 6.5)))) * ((263.3831869810514 + (z * 436.8961725563396)) / z);
}
public static double code(double z) {
return (Math.sqrt((Math.PI * 2.0)) * (Math.pow(((1.0 - z) + 6.5), (-0.5 + (1.0 - z))) * Math.exp(((z + -1.0) - 6.5)))) * ((263.3831869810514 + (z * 436.8961725563396)) / z);
}
def code(z): return (math.sqrt((math.pi * 2.0)) * (math.pow(((1.0 - z) + 6.5), (-0.5 + (1.0 - z))) * math.exp(((z + -1.0) - 6.5)))) * ((263.3831869810514 + (z * 436.8961725563396)) / z)
function code(z) return Float64(Float64(sqrt(Float64(pi * 2.0)) * Float64((Float64(Float64(1.0 - z) + 6.5) ^ Float64(-0.5 + Float64(1.0 - z))) * exp(Float64(Float64(z + -1.0) - 6.5)))) * Float64(Float64(263.3831869810514 + Float64(z * 436.8961725563396)) / z)) end
function tmp = code(z) tmp = (sqrt((pi * 2.0)) * ((((1.0 - z) + 6.5) ^ (-0.5 + (1.0 - z))) * exp(((z + -1.0) - 6.5)))) * ((263.3831869810514 + (z * 436.8961725563396)) / 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[(1.0 - z), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(N[(z + -1.0), $MachinePrecision] - 6.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(263.3831869810514 + N[(z * 436.8961725563396), $MachinePrecision]), $MachinePrecision] / z), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\sqrt{\pi \cdot 2} \cdot \left({\left(\left(1 - z\right) + 6.5\right)}^{\left(-0.5 + \left(1 - z\right)\right)} \cdot e^{\left(z + -1\right) - 6.5}\right)\right) \cdot \frac{263.3831869810514 + z \cdot 436.8961725563396}{z}
\end{array}
Initial program 96.5%
Simplified96.4%
Taylor expanded in z around 0 96.6%
*-commutative96.6%
Simplified96.6%
Final simplification96.6%
(FPCore (z) :precision binary64 (* 263.3831869810514 (* (* (sqrt PI) (exp -7.5)) (/ (sqrt 15.0) z))))
double code(double z) {
return 263.3831869810514 * ((sqrt(((double) M_PI)) * exp(-7.5)) * (sqrt(15.0) / z));
}
public static double code(double z) {
return 263.3831869810514 * ((Math.sqrt(Math.PI) * Math.exp(-7.5)) * (Math.sqrt(15.0) / z));
}
def code(z): return 263.3831869810514 * ((math.sqrt(math.pi) * math.exp(-7.5)) * (math.sqrt(15.0) / z))
function code(z) return Float64(263.3831869810514 * Float64(Float64(sqrt(pi) * exp(-7.5)) * Float64(sqrt(15.0) / z))) end
function tmp = code(z) tmp = 263.3831869810514 * ((sqrt(pi) * exp(-7.5)) * (sqrt(15.0) / z)); end
code[z_] := N[(263.3831869810514 * N[(N[(N[Sqrt[Pi], $MachinePrecision] * N[Exp[-7.5], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[15.0], $MachinePrecision] / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
263.3831869810514 \cdot \left(\left(\sqrt{\pi} \cdot e^{-7.5}\right) \cdot \frac{\sqrt{15}}{z}\right)
\end{array}
Initial program 96.5%
Simplified98.3%
associate-*l/98.5%
Applied egg-rr98.5%
associate-/l*98.3%
Simplified98.3%
Applied egg-rr97.3%
Simplified98.2%
Taylor expanded in z around 0 96.3%
associate-*l/96.1%
*-commutative96.1%
associate-*r*96.7%
Simplified96.7%
associate-*r/96.7%
associate-*l*95.7%
sqrt-unprod95.7%
metadata-eval95.7%
Applied egg-rr95.7%
associate-/l*96.1%
associate-*r*96.7%
*-commutative96.7%
associate-*r/96.6%
*-commutative96.6%
Simplified96.6%
(FPCore (z) :precision binary64 (* (* (exp -7.5) (sqrt (* 2.0 (* PI 7.5)))) (/ 263.3831869810514 z)))
double code(double z) {
return (exp(-7.5) * sqrt((2.0 * (((double) M_PI) * 7.5)))) * (263.3831869810514 / z);
}
public static double code(double z) {
return (Math.exp(-7.5) * Math.sqrt((2.0 * (Math.PI * 7.5)))) * (263.3831869810514 / z);
}
def code(z): return (math.exp(-7.5) * math.sqrt((2.0 * (math.pi * 7.5)))) * (263.3831869810514 / z)
function code(z) return Float64(Float64(exp(-7.5) * sqrt(Float64(2.0 * Float64(pi * 7.5)))) * Float64(263.3831869810514 / z)) end
function tmp = code(z) tmp = (exp(-7.5) * sqrt((2.0 * (pi * 7.5)))) * (263.3831869810514 / z); end
code[z_] := N[(N[(N[Exp[-7.5], $MachinePrecision] * N[Sqrt[N[(2.0 * N[(Pi * 7.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(263.3831869810514 / z), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(e^{-7.5} \cdot \sqrt{2 \cdot \left(\pi \cdot 7.5\right)}\right) \cdot \frac{263.3831869810514}{z}
\end{array}
Initial program 96.5%
Simplified96.4%
Taylor expanded in z around 0 95.6%
Taylor expanded in z around 0 95.8%
Taylor expanded in z around 0 95.8%
pow195.8%
associate-*r*95.8%
pow1/295.8%
*-commutative95.8%
pow1/295.8%
pow-prod-down95.8%
Applied egg-rr95.8%
unpow195.8%
*-commutative95.8%
unpow1/295.8%
associate-*l*95.8%
Simplified95.8%
(FPCore (z) :precision binary64 (* (sqrt (* 2.0 (* PI 7.5))) (* (exp -7.5) (/ 263.3831869810514 z))))
double code(double z) {
return sqrt((2.0 * (((double) M_PI) * 7.5))) * (exp(-7.5) * (263.3831869810514 / z));
}
public static double code(double z) {
return Math.sqrt((2.0 * (Math.PI * 7.5))) * (Math.exp(-7.5) * (263.3831869810514 / z));
}
def code(z): return math.sqrt((2.0 * (math.pi * 7.5))) * (math.exp(-7.5) * (263.3831869810514 / z))
function code(z) return Float64(sqrt(Float64(2.0 * Float64(pi * 7.5))) * Float64(exp(-7.5) * Float64(263.3831869810514 / z))) end
function tmp = code(z) tmp = sqrt((2.0 * (pi * 7.5))) * (exp(-7.5) * (263.3831869810514 / z)); end
code[z_] := N[(N[Sqrt[N[(2.0 * N[(Pi * 7.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(N[Exp[-7.5], $MachinePrecision] * N[(263.3831869810514 / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt{2 \cdot \left(\pi \cdot 7.5\right)} \cdot \left(e^{-7.5} \cdot \frac{263.3831869810514}{z}\right)
\end{array}
Initial program 96.5%
Simplified96.4%
Taylor expanded in z around 0 95.6%
Taylor expanded in z around 0 95.8%
Taylor expanded in z around 0 95.8%
associate-*r/95.7%
associate-*r*95.7%
pow1/295.7%
*-commutative95.7%
pow1/295.7%
pow-prod-down95.7%
Applied egg-rr95.7%
associate-*r/95.8%
associate-*l*95.6%
unpow1/295.6%
associate-*l*95.6%
Simplified95.6%
herbie shell --seed 2024150
(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))))))