
(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
(let* ((t_0 (+ 0.9999999999998099 (/ 676.5203681218851 (- 1.0 z)))))
(*
(*
(/ PI (sin (* PI z)))
(*
(sqrt (* PI 2.0))
(cbrt
(pow
(* (pow (- 7.5 z) (- 0.5 z)) (exp (fma -1.0 (- 7.0 z) -0.5)))
3.0))))
(-
(+
(/ 9.984369578019572e-6 (- (- 1.0 z) -6.0))
(/ 1.5056327351493116e-7 (- (- 1.0 z) -7.0)))
(+
(+
(/
(+ (* t_0 t_0) (/ (/ 1585431.567088306 (- 2.0 z)) (- z 2.0)))
(-
(+ (/ 676.5203681218851 (+ z -1.0)) (/ 1259.1392167224028 (- z 2.0)))
0.9999999999998099))
(-
(/ -176.6150291621406 (- -3.0 (- 1.0 z)))
(/ 771.3234287776531 (- (- 1.0 z) -2.0))))
(+
(/ 12.507343278686905 (- -4.0 (- 1.0 z)))
(/ -0.13857109526572012 (- -5.0 (- 1.0 z)))))))))
double code(double z) {
double t_0 = 0.9999999999998099 + (676.5203681218851 / (1.0 - z));
return ((((double) M_PI) / sin((((double) M_PI) * z))) * (sqrt((((double) M_PI) * 2.0)) * cbrt(pow((pow((7.5 - z), (0.5 - z)) * exp(fma(-1.0, (7.0 - z), -0.5))), 3.0)))) * (((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0))) - (((((t_0 * t_0) + ((1585431.567088306 / (2.0 - z)) / (z - 2.0))) / (((676.5203681218851 / (z + -1.0)) + (1259.1392167224028 / (z - 2.0))) - 0.9999999999998099)) + ((-176.6150291621406 / (-3.0 - (1.0 - z))) - (771.3234287776531 / ((1.0 - z) - -2.0)))) + ((12.507343278686905 / (-4.0 - (1.0 - z))) + (-0.13857109526572012 / (-5.0 - (1.0 - z))))));
}
function code(z) t_0 = Float64(0.9999999999998099 + Float64(676.5203681218851 / Float64(1.0 - z))) return Float64(Float64(Float64(pi / sin(Float64(pi * z))) * Float64(sqrt(Float64(pi * 2.0)) * cbrt((Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * exp(fma(-1.0, Float64(7.0 - z), -0.5))) ^ 3.0)))) * Float64(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(Float64(Float64(Float64(t_0 * t_0) + Float64(Float64(1585431.567088306 / Float64(2.0 - z)) / Float64(z - 2.0))) / Float64(Float64(Float64(676.5203681218851 / Float64(z + -1.0)) + Float64(1259.1392167224028 / Float64(z - 2.0))) - 0.9999999999998099)) + Float64(Float64(-176.6150291621406 / Float64(-3.0 - Float64(1.0 - z))) - Float64(771.3234287776531 / Float64(Float64(1.0 - z) - -2.0)))) + Float64(Float64(12.507343278686905 / Float64(-4.0 - Float64(1.0 - z))) + Float64(-0.13857109526572012 / Float64(-5.0 - Float64(1.0 - z))))))) end
code[z_] := Block[{t$95$0 = N[(0.9999999999998099 + N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[Power[N[Power[N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(-1.0 * N[(7.0 - z), $MachinePrecision] + -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(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] - N[(N[(N[(N[(N[(t$95$0 * t$95$0), $MachinePrecision] + N[(N[(1585431.567088306 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision] / N[(z - 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(N[(676.5203681218851 / N[(z + -1.0), $MachinePrecision]), $MachinePrecision] + N[(1259.1392167224028 / N[(z - 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.9999999999998099), $MachinePrecision]), $MachinePrecision] + N[(N[(-176.6150291621406 / N[(-3.0 - N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(771.3234287776531 / N[(N[(1.0 - z), $MachinePrecision] - -2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(12.507343278686905 / N[(-4.0 - N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(-5.0 - N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.9999999999998099 + \frac{676.5203681218851}{1 - z}\\
\left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\sqrt{\pi \cdot 2} \cdot \sqrt[3]{{\left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot e^{\mathsf{fma}\left(-1, 7 - z, -0.5\right)}\right)}^{3}}\right)\right) \cdot \left(\left(\frac{9.984369578019572 \cdot 10^{-6}}{\left(1 - z\right) - -6} + \frac{1.5056327351493116 \cdot 10^{-7}}{\left(1 - z\right) - -7}\right) - \left(\left(\frac{t\_0 \cdot t\_0 + \frac{\frac{1585431.567088306}{2 - z}}{z - 2}}{\left(\frac{676.5203681218851}{z + -1} + \frac{1259.1392167224028}{z - 2}\right) - 0.9999999999998099} + \left(\frac{-176.6150291621406}{-3 - \left(1 - z\right)} - \frac{771.3234287776531}{\left(1 - z\right) - -2}\right)\right) + \left(\frac{12.507343278686905}{-4 - \left(1 - z\right)} + \frac{-0.13857109526572012}{-5 - \left(1 - z\right)}\right)\right)\right)
\end{array}
\end{array}
Initial program 96.6%
Simplified98.2%
flip-+98.2%
Applied egg-rr98.2%
+-commutative98.2%
+-commutative98.2%
associate-*l/98.2%
associate-*r/98.2%
metadata-eval98.2%
associate--r-98.2%
+-commutative98.2%
associate-+r-98.2%
metadata-eval98.2%
associate--r-98.2%
+-commutative98.2%
associate-+r-98.2%
metadata-eval98.2%
+-commutative98.2%
Simplified98.2%
add-cbrt-cube98.5%
Applied egg-rr98.4%
associate-*l*98.4%
cube-unmult98.4%
Simplified98.4%
Final simplification98.4%
(FPCore (z)
:precision binary64
(let* ((t_0 (+ 0.9999999999998099 (/ 676.5203681218851 (- 1.0 z)))))
(*
(-
(+
(/ 9.984369578019572e-6 (- (- 1.0 z) -6.0))
(/ 1.5056327351493116e-7 (- (- 1.0 z) -7.0)))
(+
(+
(/
(+ (* t_0 t_0) (/ (/ 1585431.567088306 (- 2.0 z)) (- z 2.0)))
(-
(+ (/ 676.5203681218851 (+ z -1.0)) (/ 1259.1392167224028 (- z 2.0)))
0.9999999999998099))
(-
(/ -176.6150291621406 (- -3.0 (- 1.0 z)))
(/ 771.3234287776531 (- (- 1.0 z) -2.0))))
(+
(/ 12.507343278686905 (- -4.0 (- 1.0 z)))
(/ -0.13857109526572012 (- -5.0 (- 1.0 z))))))
(*
(/ PI (sin (* PI z)))
(*
(sqrt (* PI 2.0))
(*
(pow (+ 7.5 (cbrt (* (- z) (* z z)))) (- (- 1.0 z) 0.5))
(exp (+ -0.5 (- -6.0 (- 1.0 z))))))))))
double code(double z) {
double t_0 = 0.9999999999998099 + (676.5203681218851 / (1.0 - z));
return (((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0))) - (((((t_0 * t_0) + ((1585431.567088306 / (2.0 - z)) / (z - 2.0))) / (((676.5203681218851 / (z + -1.0)) + (1259.1392167224028 / (z - 2.0))) - 0.9999999999998099)) + ((-176.6150291621406 / (-3.0 - (1.0 - z))) - (771.3234287776531 / ((1.0 - z) - -2.0)))) + ((12.507343278686905 / (-4.0 - (1.0 - z))) + (-0.13857109526572012 / (-5.0 - (1.0 - z)))))) * ((((double) M_PI) / sin((((double) M_PI) * z))) * (sqrt((((double) M_PI) * 2.0)) * (pow((7.5 + cbrt((-z * (z * z)))), ((1.0 - z) - 0.5)) * exp((-0.5 + (-6.0 - (1.0 - z)))))));
}
public static double code(double z) {
double t_0 = 0.9999999999998099 + (676.5203681218851 / (1.0 - z));
return (((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0))) - (((((t_0 * t_0) + ((1585431.567088306 / (2.0 - z)) / (z - 2.0))) / (((676.5203681218851 / (z + -1.0)) + (1259.1392167224028 / (z - 2.0))) - 0.9999999999998099)) + ((-176.6150291621406 / (-3.0 - (1.0 - z))) - (771.3234287776531 / ((1.0 - z) - -2.0)))) + ((12.507343278686905 / (-4.0 - (1.0 - z))) + (-0.13857109526572012 / (-5.0 - (1.0 - z)))))) * ((Math.PI / Math.sin((Math.PI * z))) * (Math.sqrt((Math.PI * 2.0)) * (Math.pow((7.5 + Math.cbrt((-z * (z * z)))), ((1.0 - z) - 0.5)) * Math.exp((-0.5 + (-6.0 - (1.0 - z)))))));
}
function code(z) t_0 = Float64(0.9999999999998099 + Float64(676.5203681218851 / Float64(1.0 - z))) return Float64(Float64(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(Float64(Float64(Float64(t_0 * t_0) + Float64(Float64(1585431.567088306 / Float64(2.0 - z)) / Float64(z - 2.0))) / Float64(Float64(Float64(676.5203681218851 / Float64(z + -1.0)) + Float64(1259.1392167224028 / Float64(z - 2.0))) - 0.9999999999998099)) + Float64(Float64(-176.6150291621406 / Float64(-3.0 - Float64(1.0 - z))) - Float64(771.3234287776531 / Float64(Float64(1.0 - z) - -2.0)))) + Float64(Float64(12.507343278686905 / Float64(-4.0 - Float64(1.0 - z))) + Float64(-0.13857109526572012 / Float64(-5.0 - Float64(1.0 - z)))))) * Float64(Float64(pi / sin(Float64(pi * z))) * Float64(sqrt(Float64(pi * 2.0)) * Float64((Float64(7.5 + cbrt(Float64(Float64(-z) * Float64(z * z)))) ^ Float64(Float64(1.0 - z) - 0.5)) * exp(Float64(-0.5 + Float64(-6.0 - Float64(1.0 - z)))))))) end
code[z_] := Block[{t$95$0 = N[(0.9999999999998099 + N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(N[(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] - N[(N[(N[(N[(N[(t$95$0 * t$95$0), $MachinePrecision] + N[(N[(1585431.567088306 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision] / N[(z - 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(N[(676.5203681218851 / N[(z + -1.0), $MachinePrecision]), $MachinePrecision] + N[(1259.1392167224028 / N[(z - 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.9999999999998099), $MachinePrecision]), $MachinePrecision] + N[(N[(-176.6150291621406 / N[(-3.0 - N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(771.3234287776531 / N[(N[(1.0 - z), $MachinePrecision] - -2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(12.507343278686905 / N[(-4.0 - N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(-5.0 - N[(1.0 - z), $MachinePrecision]), $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[Power[N[(7.5 + N[Power[N[((-z) * N[(z * z), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], N[(N[(1.0 - z), $MachinePrecision] - 0.5), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(-0.5 + N[(-6.0 - N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.9999999999998099 + \frac{676.5203681218851}{1 - z}\\
\left(\left(\frac{9.984369578019572 \cdot 10^{-6}}{\left(1 - z\right) - -6} + \frac{1.5056327351493116 \cdot 10^{-7}}{\left(1 - z\right) - -7}\right) - \left(\left(\frac{t\_0 \cdot t\_0 + \frac{\frac{1585431.567088306}{2 - z}}{z - 2}}{\left(\frac{676.5203681218851}{z + -1} + \frac{1259.1392167224028}{z - 2}\right) - 0.9999999999998099} + \left(\frac{-176.6150291621406}{-3 - \left(1 - z\right)} - \frac{771.3234287776531}{\left(1 - z\right) - -2}\right)\right) + \left(\frac{12.507343278686905}{-4 - \left(1 - z\right)} + \frac{-0.13857109526572012}{-5 - \left(1 - z\right)}\right)\right)\right) \cdot \left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\sqrt{\pi \cdot 2} \cdot \left({\left(7.5 + \sqrt[3]{\left(-z\right) \cdot \left(z \cdot z\right)}\right)}^{\left(\left(1 - z\right) - 0.5\right)} \cdot e^{-0.5 + \left(-6 - \left(1 - z\right)\right)}\right)\right)\right)
\end{array}
\end{array}
Initial program 96.6%
Simplified98.2%
flip-+98.2%
Applied egg-rr98.2%
+-commutative98.2%
+-commutative98.2%
associate-*l/98.2%
associate-*r/98.2%
metadata-eval98.2%
associate--r-98.2%
+-commutative98.2%
associate-+r-98.2%
metadata-eval98.2%
associate--r-98.2%
+-commutative98.2%
associate-+r-98.2%
metadata-eval98.2%
+-commutative98.2%
Simplified98.2%
add-cbrt-cube98.2%
Applied egg-rr98.2%
associate-*l*98.2%
+-commutative98.2%
associate-+r-98.2%
metadata-eval98.2%
neg-sub098.2%
+-commutative98.2%
associate-+r-98.2%
metadata-eval98.2%
neg-sub098.2%
+-commutative98.2%
associate-+r-98.2%
metadata-eval98.2%
neg-sub098.2%
Simplified98.2%
Final simplification98.2%
(FPCore (z)
:precision binary64
(let* ((t_0 (+ 0.9999999999998099 (/ 676.5203681218851 (- 1.0 z)))))
(*
(-
(+
(/ 9.984369578019572e-6 (- (- 1.0 z) -6.0))
(/ 1.5056327351493116e-7 (- (- 1.0 z) -7.0)))
(+
(+
(/
(+ (* t_0 t_0) (/ (/ 1585431.567088306 (- 2.0 z)) (- z 2.0)))
(-
(+ (/ 676.5203681218851 (+ z -1.0)) (/ 1259.1392167224028 (- z 2.0)))
0.9999999999998099))
(-
(/ -176.6150291621406 (- -3.0 (- 1.0 z)))
(/ 771.3234287776531 (- (- 1.0 z) -2.0))))
(+
(/ 12.507343278686905 (- -4.0 (- 1.0 z)))
(/ -0.13857109526572012 (- -5.0 (- 1.0 z))))))
(*
(/ PI (sin (* PI z)))
(*
(sqrt (* PI 2.0))
(*
(exp (+ -0.5 (- -6.0 (- 1.0 z))))
(pow (+ 7.5 (+ -1.0 (- 1.0 z))) (- (- 1.0 z) 0.5))))))))
double code(double z) {
double t_0 = 0.9999999999998099 + (676.5203681218851 / (1.0 - z));
return (((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0))) - (((((t_0 * t_0) + ((1585431.567088306 / (2.0 - z)) / (z - 2.0))) / (((676.5203681218851 / (z + -1.0)) + (1259.1392167224028 / (z - 2.0))) - 0.9999999999998099)) + ((-176.6150291621406 / (-3.0 - (1.0 - z))) - (771.3234287776531 / ((1.0 - z) - -2.0)))) + ((12.507343278686905 / (-4.0 - (1.0 - z))) + (-0.13857109526572012 / (-5.0 - (1.0 - z)))))) * ((((double) M_PI) / sin((((double) M_PI) * z))) * (sqrt((((double) M_PI) * 2.0)) * (exp((-0.5 + (-6.0 - (1.0 - z)))) * pow((7.5 + (-1.0 + (1.0 - z))), ((1.0 - z) - 0.5)))));
}
public static double code(double z) {
double t_0 = 0.9999999999998099 + (676.5203681218851 / (1.0 - z));
return (((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0))) - (((((t_0 * t_0) + ((1585431.567088306 / (2.0 - z)) / (z - 2.0))) / (((676.5203681218851 / (z + -1.0)) + (1259.1392167224028 / (z - 2.0))) - 0.9999999999998099)) + ((-176.6150291621406 / (-3.0 - (1.0 - z))) - (771.3234287776531 / ((1.0 - z) - -2.0)))) + ((12.507343278686905 / (-4.0 - (1.0 - z))) + (-0.13857109526572012 / (-5.0 - (1.0 - z)))))) * ((Math.PI / Math.sin((Math.PI * z))) * (Math.sqrt((Math.PI * 2.0)) * (Math.exp((-0.5 + (-6.0 - (1.0 - z)))) * Math.pow((7.5 + (-1.0 + (1.0 - z))), ((1.0 - z) - 0.5)))));
}
def code(z): t_0 = 0.9999999999998099 + (676.5203681218851 / (1.0 - z)) return (((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0))) - (((((t_0 * t_0) + ((1585431.567088306 / (2.0 - z)) / (z - 2.0))) / (((676.5203681218851 / (z + -1.0)) + (1259.1392167224028 / (z - 2.0))) - 0.9999999999998099)) + ((-176.6150291621406 / (-3.0 - (1.0 - z))) - (771.3234287776531 / ((1.0 - z) - -2.0)))) + ((12.507343278686905 / (-4.0 - (1.0 - z))) + (-0.13857109526572012 / (-5.0 - (1.0 - z)))))) * ((math.pi / math.sin((math.pi * z))) * (math.sqrt((math.pi * 2.0)) * (math.exp((-0.5 + (-6.0 - (1.0 - z)))) * math.pow((7.5 + (-1.0 + (1.0 - z))), ((1.0 - z) - 0.5)))))
function code(z) t_0 = Float64(0.9999999999998099 + Float64(676.5203681218851 / Float64(1.0 - z))) return Float64(Float64(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(Float64(Float64(Float64(t_0 * t_0) + Float64(Float64(1585431.567088306 / Float64(2.0 - z)) / Float64(z - 2.0))) / Float64(Float64(Float64(676.5203681218851 / Float64(z + -1.0)) + Float64(1259.1392167224028 / Float64(z - 2.0))) - 0.9999999999998099)) + Float64(Float64(-176.6150291621406 / Float64(-3.0 - Float64(1.0 - z))) - Float64(771.3234287776531 / Float64(Float64(1.0 - z) - -2.0)))) + Float64(Float64(12.507343278686905 / Float64(-4.0 - Float64(1.0 - z))) + Float64(-0.13857109526572012 / Float64(-5.0 - Float64(1.0 - z)))))) * Float64(Float64(pi / sin(Float64(pi * z))) * Float64(sqrt(Float64(pi * 2.0)) * Float64(exp(Float64(-0.5 + Float64(-6.0 - Float64(1.0 - z)))) * (Float64(7.5 + Float64(-1.0 + Float64(1.0 - z))) ^ Float64(Float64(1.0 - z) - 0.5)))))) end
function tmp = code(z) t_0 = 0.9999999999998099 + (676.5203681218851 / (1.0 - z)); tmp = (((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0))) - (((((t_0 * t_0) + ((1585431.567088306 / (2.0 - z)) / (z - 2.0))) / (((676.5203681218851 / (z + -1.0)) + (1259.1392167224028 / (z - 2.0))) - 0.9999999999998099)) + ((-176.6150291621406 / (-3.0 - (1.0 - z))) - (771.3234287776531 / ((1.0 - z) - -2.0)))) + ((12.507343278686905 / (-4.0 - (1.0 - z))) + (-0.13857109526572012 / (-5.0 - (1.0 - z)))))) * ((pi / sin((pi * z))) * (sqrt((pi * 2.0)) * (exp((-0.5 + (-6.0 - (1.0 - z)))) * ((7.5 + (-1.0 + (1.0 - z))) ^ ((1.0 - z) - 0.5))))); end
code[z_] := Block[{t$95$0 = N[(0.9999999999998099 + N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(N[(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] - N[(N[(N[(N[(N[(t$95$0 * t$95$0), $MachinePrecision] + N[(N[(1585431.567088306 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision] / N[(z - 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(N[(676.5203681218851 / N[(z + -1.0), $MachinePrecision]), $MachinePrecision] + N[(1259.1392167224028 / N[(z - 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.9999999999998099), $MachinePrecision]), $MachinePrecision] + N[(N[(-176.6150291621406 / N[(-3.0 - N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(771.3234287776531 / N[(N[(1.0 - z), $MachinePrecision] - -2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(12.507343278686905 / N[(-4.0 - N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(-5.0 - N[(1.0 - z), $MachinePrecision]), $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[(-0.5 + N[(-6.0 - N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[Power[N[(7.5 + N[(-1.0 + N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(1.0 - z), $MachinePrecision] - 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.9999999999998099 + \frac{676.5203681218851}{1 - z}\\
\left(\left(\frac{9.984369578019572 \cdot 10^{-6}}{\left(1 - z\right) - -6} + \frac{1.5056327351493116 \cdot 10^{-7}}{\left(1 - z\right) - -7}\right) - \left(\left(\frac{t\_0 \cdot t\_0 + \frac{\frac{1585431.567088306}{2 - z}}{z - 2}}{\left(\frac{676.5203681218851}{z + -1} + \frac{1259.1392167224028}{z - 2}\right) - 0.9999999999998099} + \left(\frac{-176.6150291621406}{-3 - \left(1 - z\right)} - \frac{771.3234287776531}{\left(1 - z\right) - -2}\right)\right) + \left(\frac{12.507343278686905}{-4 - \left(1 - z\right)} + \frac{-0.13857109526572012}{-5 - \left(1 - z\right)}\right)\right)\right) \cdot \left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\sqrt{\pi \cdot 2} \cdot \left(e^{-0.5 + \left(-6 - \left(1 - z\right)\right)} \cdot {\left(7.5 + \left(-1 + \left(1 - z\right)\right)\right)}^{\left(\left(1 - z\right) - 0.5\right)}\right)\right)\right)
\end{array}
\end{array}
Initial program 96.6%
Simplified98.2%
flip-+98.2%
Applied egg-rr98.2%
+-commutative98.2%
+-commutative98.2%
associate-*l/98.2%
associate-*r/98.2%
metadata-eval98.2%
associate--r-98.2%
+-commutative98.2%
associate-+r-98.2%
metadata-eval98.2%
associate--r-98.2%
+-commutative98.2%
associate-+r-98.2%
metadata-eval98.2%
+-commutative98.2%
Simplified98.2%
Final simplification98.2%
(FPCore (z)
:precision binary64
(*
(*
(/ PI (sin (* PI z)))
(*
(sqrt (* PI 2.0))
(*
(exp (+ -0.5 (- -6.0 (- 1.0 z))))
(pow (+ 7.5 (+ -1.0 (- 1.0 z))) (- (- 1.0 z) 0.5)))))
(+
(+
(/ 9.984369578019572e-6 (- (- 1.0 z) -6.0))
(/ 1.5056327351493116e-7 (- (- 1.0 z) -7.0)))
(+
(+
(/ 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)))
(+
(/ 676.5203681218851 (- 1.0 z))
(+ 0.9999999999998099 (/ -1259.1392167224028 (- 2.0 z)))))))))
double code(double z) {
return ((((double) M_PI) / sin((((double) M_PI) * z))) * (sqrt((((double) M_PI) * 2.0)) * (exp((-0.5 + (-6.0 - (1.0 - z)))) * pow((7.5 + (-1.0 + (1.0 - z))), ((1.0 - z) - 0.5))))) * (((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0))) + (((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))) + ((676.5203681218851 / (1.0 - z)) + (0.9999999999998099 + (-1259.1392167224028 / (2.0 - z)))))));
}
public static double code(double z) {
return ((Math.PI / Math.sin((Math.PI * z))) * (Math.sqrt((Math.PI * 2.0)) * (Math.exp((-0.5 + (-6.0 - (1.0 - z)))) * Math.pow((7.5 + (-1.0 + (1.0 - z))), ((1.0 - z) - 0.5))))) * (((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0))) + (((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))) + ((676.5203681218851 / (1.0 - z)) + (0.9999999999998099 + (-1259.1392167224028 / (2.0 - z)))))));
}
def code(z): return ((math.pi / math.sin((math.pi * z))) * (math.sqrt((math.pi * 2.0)) * (math.exp((-0.5 + (-6.0 - (1.0 - z)))) * math.pow((7.5 + (-1.0 + (1.0 - z))), ((1.0 - z) - 0.5))))) * (((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0))) + (((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))) + ((676.5203681218851 / (1.0 - z)) + (0.9999999999998099 + (-1259.1392167224028 / (2.0 - z)))))))
function code(z) return Float64(Float64(Float64(pi / sin(Float64(pi * z))) * Float64(sqrt(Float64(pi * 2.0)) * Float64(exp(Float64(-0.5 + Float64(-6.0 - Float64(1.0 - z)))) * (Float64(7.5 + Float64(-1.0 + Float64(1.0 - z))) ^ Float64(Float64(1.0 - z) - 0.5))))) * Float64(Float64(Float64(9.984369578019572e-6 / Float64(Float64(1.0 - z) - -6.0)) + Float64(1.5056327351493116e-7 / Float64(Float64(1.0 - z) - -7.0))) + 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(Float64(676.5203681218851 / Float64(1.0 - z)) + Float64(0.9999999999998099 + Float64(-1259.1392167224028 / Float64(2.0 - z)))))))) end
function tmp = code(z) tmp = ((pi / sin((pi * z))) * (sqrt((pi * 2.0)) * (exp((-0.5 + (-6.0 - (1.0 - z)))) * ((7.5 + (-1.0 + (1.0 - z))) ^ ((1.0 - z) - 0.5))))) * (((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0))) + (((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))) + ((676.5203681218851 / (1.0 - z)) + (0.9999999999998099 + (-1259.1392167224028 / (2.0 - z))))))); end
code[z_] := N[(N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[Exp[N[(-0.5 + N[(-6.0 - N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[Power[N[(7.5 + N[(-1.0 + N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(1.0 - z), $MachinePrecision] - 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(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] + 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[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + N[(0.9999999999998099 + N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\sqrt{\pi \cdot 2} \cdot \left(e^{-0.5 + \left(-6 - \left(1 - z\right)\right)} \cdot {\left(7.5 + \left(-1 + \left(1 - z\right)\right)\right)}^{\left(\left(1 - z\right) - 0.5\right)}\right)\right)\right) \cdot \left(\left(\frac{9.984369578019572 \cdot 10^{-6}}{\left(1 - z\right) - -6} + \frac{1.5056327351493116 \cdot 10^{-7}}{\left(1 - z\right) - -7}\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(\frac{676.5203681218851}{1 - z} + \left(0.9999999999998099 + \frac{-1259.1392167224028}{2 - z}\right)\right)\right)\right)\right)
\end{array}
Initial program 96.6%
Simplified98.2%
*-un-lft-identity98.2%
+-commutative98.2%
--rgt-identity98.2%
sub-neg98.2%
metadata-eval98.2%
associate-+l-98.2%
Applied egg-rr98.2%
*-lft-identity98.2%
associate-+l+98.2%
associate--r-98.2%
+-commutative98.2%
associate-+r-98.2%
metadata-eval98.2%
Simplified98.2%
Final simplification98.2%
(FPCore (z)
:precision binary64
(*
(*
(/ PI (sin (* PI z)))
(*
(sqrt (* PI 2.0))
(*
(exp (+ -0.5 (- -6.0 (- 1.0 z))))
(pow (+ 7.5 (+ 1.0 (- -1.0 z))) (- (- 1.0 z) 0.5)))))
(+
(+
(/ 9.984369578019572e-6 (- (- 1.0 z) -6.0))
(/ 1.5056327351493116e-7 (- (- 1.0 z) -7.0)))
(+
(+
(/ 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)))
(+
(/ 676.5203681218851 (- 1.0 z))
(+ 0.9999999999998099 (/ -1259.1392167224028 (- 2.0 z)))))))))
double code(double z) {
return ((((double) M_PI) / sin((((double) M_PI) * z))) * (sqrt((((double) M_PI) * 2.0)) * (exp((-0.5 + (-6.0 - (1.0 - z)))) * pow((7.5 + (1.0 + (-1.0 - z))), ((1.0 - z) - 0.5))))) * (((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0))) + (((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))) + ((676.5203681218851 / (1.0 - z)) + (0.9999999999998099 + (-1259.1392167224028 / (2.0 - z)))))));
}
public static double code(double z) {
return ((Math.PI / Math.sin((Math.PI * z))) * (Math.sqrt((Math.PI * 2.0)) * (Math.exp((-0.5 + (-6.0 - (1.0 - z)))) * Math.pow((7.5 + (1.0 + (-1.0 - z))), ((1.0 - z) - 0.5))))) * (((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0))) + (((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))) + ((676.5203681218851 / (1.0 - z)) + (0.9999999999998099 + (-1259.1392167224028 / (2.0 - z)))))));
}
def code(z): return ((math.pi / math.sin((math.pi * z))) * (math.sqrt((math.pi * 2.0)) * (math.exp((-0.5 + (-6.0 - (1.0 - z)))) * math.pow((7.5 + (1.0 + (-1.0 - z))), ((1.0 - z) - 0.5))))) * (((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0))) + (((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))) + ((676.5203681218851 / (1.0 - z)) + (0.9999999999998099 + (-1259.1392167224028 / (2.0 - z)))))))
function code(z) return Float64(Float64(Float64(pi / sin(Float64(pi * z))) * Float64(sqrt(Float64(pi * 2.0)) * Float64(exp(Float64(-0.5 + Float64(-6.0 - Float64(1.0 - z)))) * (Float64(7.5 + Float64(1.0 + Float64(-1.0 - z))) ^ Float64(Float64(1.0 - z) - 0.5))))) * Float64(Float64(Float64(9.984369578019572e-6 / Float64(Float64(1.0 - z) - -6.0)) + Float64(1.5056327351493116e-7 / Float64(Float64(1.0 - z) - -7.0))) + 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(Float64(676.5203681218851 / Float64(1.0 - z)) + Float64(0.9999999999998099 + Float64(-1259.1392167224028 / Float64(2.0 - z)))))))) end
function tmp = code(z) tmp = ((pi / sin((pi * z))) * (sqrt((pi * 2.0)) * (exp((-0.5 + (-6.0 - (1.0 - z)))) * ((7.5 + (1.0 + (-1.0 - z))) ^ ((1.0 - z) - 0.5))))) * (((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0))) + (((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))) + ((676.5203681218851 / (1.0 - z)) + (0.9999999999998099 + (-1259.1392167224028 / (2.0 - z))))))); end
code[z_] := N[(N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[Exp[N[(-0.5 + N[(-6.0 - N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[Power[N[(7.5 + N[(1.0 + N[(-1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(1.0 - z), $MachinePrecision] - 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(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] + 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[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + N[(0.9999999999998099 + N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\sqrt{\pi \cdot 2} \cdot \left(e^{-0.5 + \left(-6 - \left(1 - z\right)\right)} \cdot {\left(7.5 + \left(1 + \left(-1 - z\right)\right)\right)}^{\left(\left(1 - z\right) - 0.5\right)}\right)\right)\right) \cdot \left(\left(\frac{9.984369578019572 \cdot 10^{-6}}{\left(1 - z\right) - -6} + \frac{1.5056327351493116 \cdot 10^{-7}}{\left(1 - z\right) - -7}\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(\frac{676.5203681218851}{1 - z} + \left(0.9999999999998099 + \frac{-1259.1392167224028}{2 - z}\right)\right)\right)\right)\right)
\end{array}
Initial program 96.6%
Simplified98.2%
associate-+l-98.2%
Applied egg-rr98.2%
*-un-lft-identity98.2%
+-commutative98.2%
--rgt-identity98.2%
sub-neg98.2%
metadata-eval98.2%
associate-+l-98.2%
Applied egg-rr98.2%
*-lft-identity98.2%
associate-+l+98.2%
associate--r-98.2%
+-commutative98.2%
associate-+r-98.2%
metadata-eval98.2%
Simplified98.2%
Final simplification98.2%
(FPCore (z)
:precision binary64
(*
(*
(/ PI (sin (* PI z)))
(*
(sqrt (* PI 2.0))
(* (exp (+ -0.5 (- -6.0 (- 1.0 z)))) (pow (- 7.5 z) (- (- 1.0 z) 0.5)))))
(+
(+
(/ 9.984369578019572e-6 (- (- 1.0 z) -6.0))
(/ 1.5056327351493116e-7 (- (- 1.0 z) -7.0)))
(+
(+
(/ 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)))
(+ (* z 361.7355639412844) 47.95075976068351))))))
double code(double z) {
return ((((double) M_PI) / sin((((double) M_PI) * z))) * (sqrt((((double) M_PI) * 2.0)) * (exp((-0.5 + (-6.0 - (1.0 - z)))) * pow((7.5 - z), ((1.0 - z) - 0.5))))) * (((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0))) + (((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))) + ((z * 361.7355639412844) + 47.95075976068351))));
}
public static double code(double z) {
return ((Math.PI / Math.sin((Math.PI * z))) * (Math.sqrt((Math.PI * 2.0)) * (Math.exp((-0.5 + (-6.0 - (1.0 - z)))) * Math.pow((7.5 - z), ((1.0 - z) - 0.5))))) * (((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0))) + (((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))) + ((z * 361.7355639412844) + 47.95075976068351))));
}
def code(z): return ((math.pi / math.sin((math.pi * z))) * (math.sqrt((math.pi * 2.0)) * (math.exp((-0.5 + (-6.0 - (1.0 - z)))) * math.pow((7.5 - z), ((1.0 - z) - 0.5))))) * (((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0))) + (((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))) + ((z * 361.7355639412844) + 47.95075976068351))))
function code(z) return Float64(Float64(Float64(pi / sin(Float64(pi * z))) * Float64(sqrt(Float64(pi * 2.0)) * Float64(exp(Float64(-0.5 + Float64(-6.0 - Float64(1.0 - z)))) * (Float64(7.5 - z) ^ Float64(Float64(1.0 - z) - 0.5))))) * Float64(Float64(Float64(9.984369578019572e-6 / Float64(Float64(1.0 - z) - -6.0)) + Float64(1.5056327351493116e-7 / Float64(Float64(1.0 - z) - -7.0))) + 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(Float64(z * 361.7355639412844) + 47.95075976068351))))) end
function tmp = code(z) tmp = ((pi / sin((pi * z))) * (sqrt((pi * 2.0)) * (exp((-0.5 + (-6.0 - (1.0 - z)))) * ((7.5 - z) ^ ((1.0 - z) - 0.5))))) * (((9.984369578019572e-6 / ((1.0 - z) - -6.0)) + (1.5056327351493116e-7 / ((1.0 - z) - -7.0))) + (((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))) + ((z * 361.7355639412844) + 47.95075976068351)))); end
code[z_] := N[(N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[Exp[N[(-0.5 + N[(-6.0 - N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[Power[N[(7.5 - z), $MachinePrecision], N[(N[(1.0 - z), $MachinePrecision] - 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(9.984369578019572e-6 / N[(N[(1.0 - z), $MachinePrecision] - -6.0), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(N[(1.0 - z), $MachinePrecision] - -7.0), $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[(N[(z * 361.7355639412844), $MachinePrecision] + 47.95075976068351), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\sqrt{\pi \cdot 2} \cdot \left(e^{-0.5 + \left(-6 - \left(1 - z\right)\right)} \cdot {\left(7.5 - z\right)}^{\left(\left(1 - z\right) - 0.5\right)}\right)\right)\right) \cdot \left(\left(\frac{9.984369578019572 \cdot 10^{-6}}{\left(1 - z\right) - -6} + \frac{1.5056327351493116 \cdot 10^{-7}}{\left(1 - z\right) - -7}\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(z \cdot 361.7355639412844 + 47.95075976068351\right)\right)\right)\right)
\end{array}
Initial program 96.6%
Simplified98.2%
associate-+l-98.2%
Applied egg-rr98.2%
Taylor expanded in z around 0 97.1%
+-commutative97.1%
*-commutative97.1%
Simplified97.1%
Taylor expanded in z around 0 97.1%
neg-mul-197.1%
Simplified97.1%
Final simplification97.1%
(FPCore (z) :precision binary64 (* 263.3831869810514 (/ (* (* (sqrt PI) (exp -7.5)) (* (sqrt 7.5) (sqrt 2.0))) z)))
double code(double z) {
return 263.3831869810514 * (((sqrt(((double) M_PI)) * exp(-7.5)) * (sqrt(7.5) * sqrt(2.0))) / z);
}
public static double code(double z) {
return 263.3831869810514 * (((Math.sqrt(Math.PI) * Math.exp(-7.5)) * (Math.sqrt(7.5) * Math.sqrt(2.0))) / z);
}
def code(z): return 263.3831869810514 * (((math.sqrt(math.pi) * math.exp(-7.5)) * (math.sqrt(7.5) * math.sqrt(2.0))) / z)
function code(z) return Float64(263.3831869810514 * Float64(Float64(Float64(sqrt(pi) * exp(-7.5)) * Float64(sqrt(7.5) * sqrt(2.0))) / z)) end
function tmp = code(z) tmp = 263.3831869810514 * (((sqrt(pi) * exp(-7.5)) * (sqrt(7.5) * sqrt(2.0))) / z); end
code[z_] := N[(263.3831869810514 * N[(N[(N[(N[Sqrt[Pi], $MachinePrecision] * N[Exp[-7.5], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[7.5], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / z), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
263.3831869810514 \cdot \frac{\left(\sqrt{\pi} \cdot e^{-7.5}\right) \cdot \left(\sqrt{7.5} \cdot \sqrt{2}\right)}{z}
\end{array}
Initial program 96.6%
Simplified95.3%
Taylor expanded in z around 0 96.3%
associate-*l/96.2%
*-commutative96.2%
associate-*r*96.9%
*-commutative96.9%
Simplified96.9%
Final simplification96.9%
(FPCore (z) :precision binary64 (* 263.3831869810514 (* (exp -7.5) (* (sqrt 15.0) (/ (sqrt PI) z)))))
double code(double z) {
return 263.3831869810514 * (exp(-7.5) * (sqrt(15.0) * (sqrt(((double) M_PI)) / z)));
}
public static double code(double z) {
return 263.3831869810514 * (Math.exp(-7.5) * (Math.sqrt(15.0) * (Math.sqrt(Math.PI) / z)));
}
def code(z): return 263.3831869810514 * (math.exp(-7.5) * (math.sqrt(15.0) * (math.sqrt(math.pi) / z)))
function code(z) return Float64(263.3831869810514 * Float64(exp(-7.5) * Float64(sqrt(15.0) * Float64(sqrt(pi) / z)))) end
function tmp = code(z) tmp = 263.3831869810514 * (exp(-7.5) * (sqrt(15.0) * (sqrt(pi) / z))); end
code[z_] := N[(263.3831869810514 * N[(N[Exp[-7.5], $MachinePrecision] * N[(N[Sqrt[15.0], $MachinePrecision] * N[(N[Sqrt[Pi], $MachinePrecision] / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
263.3831869810514 \cdot \left(e^{-7.5} \cdot \left(\sqrt{15} \cdot \frac{\sqrt{\pi}}{z}\right)\right)
\end{array}
Initial program 96.6%
Simplified95.3%
Taylor expanded in z around 0 96.3%
pow196.3%
*-commutative96.3%
associate-/l*96.5%
sqrt-unprod96.5%
metadata-eval96.5%
Applied egg-rr96.5%
unpow196.5%
*-commutative96.5%
associate-*l*96.2%
Simplified96.2%
Taylor expanded in z around 0 96.3%
associate-/l*96.5%
associate-*r*96.2%
associate-*l/95.7%
associate-/l*96.1%
Simplified96.1%
Final simplification96.1%
(FPCore (z) :precision binary64 (* 263.3831869810514 (* (exp -7.5) (* (sqrt PI) (/ (sqrt 15.0) z)))))
double code(double z) {
return 263.3831869810514 * (exp(-7.5) * (sqrt(((double) M_PI)) * (sqrt(15.0) / z)));
}
public static double code(double z) {
return 263.3831869810514 * (Math.exp(-7.5) * (Math.sqrt(Math.PI) * (Math.sqrt(15.0) / z)));
}
def code(z): return 263.3831869810514 * (math.exp(-7.5) * (math.sqrt(math.pi) * (math.sqrt(15.0) / z)))
function code(z) return Float64(263.3831869810514 * Float64(exp(-7.5) * Float64(sqrt(pi) * Float64(sqrt(15.0) / z)))) end
function tmp = code(z) tmp = 263.3831869810514 * (exp(-7.5) * (sqrt(pi) * (sqrt(15.0) / z))); end
code[z_] := N[(263.3831869810514 * N[(N[Exp[-7.5], $MachinePrecision] * N[(N[Sqrt[Pi], $MachinePrecision] * N[(N[Sqrt[15.0], $MachinePrecision] / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
263.3831869810514 \cdot \left(e^{-7.5} \cdot \left(\sqrt{\pi} \cdot \frac{\sqrt{15}}{z}\right)\right)
\end{array}
Initial program 96.6%
Simplified95.3%
Taylor expanded in z around 0 96.3%
pow196.3%
*-commutative96.3%
associate-/l*96.5%
sqrt-unprod96.5%
metadata-eval96.5%
Applied egg-rr96.5%
unpow196.5%
*-commutative96.5%
associate-*l*96.2%
Simplified96.2%
Final simplification96.2%
(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(sqrt(pi) * Float64(exp(-7.5) * Float64(sqrt(15.0) / z)))) end
function tmp = code(z) tmp = 263.3831869810514 * (sqrt(pi) * (exp(-7.5) * (sqrt(15.0) / z))); end
code[z_] := N[(263.3831869810514 * N[(N[Sqrt[Pi], $MachinePrecision] * N[(N[Exp[-7.5], $MachinePrecision] * N[(N[Sqrt[15.0], $MachinePrecision] / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
263.3831869810514 \cdot \left(\sqrt{\pi} \cdot \left(e^{-7.5} \cdot \frac{\sqrt{15}}{z}\right)\right)
\end{array}
Initial program 96.6%
Simplified95.3%
Taylor expanded in z around 0 96.3%
*-un-lft-identity96.3%
associate-/l*96.5%
sqrt-unprod96.5%
metadata-eval96.5%
Applied egg-rr96.5%
*-lft-identity96.5%
Simplified96.5%
Final simplification96.5%
(FPCore (z) :precision binary64 (* (* 263.3831869810514 (sqrt PI)) (* (exp -7.5) (/ (sqrt 15.0) z))))
double code(double z) {
return (263.3831869810514 * sqrt(((double) M_PI))) * (exp(-7.5) * (sqrt(15.0) / z));
}
public static double code(double z) {
return (263.3831869810514 * Math.sqrt(Math.PI)) * (Math.exp(-7.5) * (Math.sqrt(15.0) / z));
}
def code(z): return (263.3831869810514 * math.sqrt(math.pi)) * (math.exp(-7.5) * (math.sqrt(15.0) / z))
function code(z) return Float64(Float64(263.3831869810514 * sqrt(pi)) * Float64(exp(-7.5) * Float64(sqrt(15.0) / z))) end
function tmp = code(z) tmp = (263.3831869810514 * sqrt(pi)) * (exp(-7.5) * (sqrt(15.0) / z)); end
code[z_] := N[(N[(263.3831869810514 * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[Exp[-7.5], $MachinePrecision] * N[(N[Sqrt[15.0], $MachinePrecision] / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(263.3831869810514 \cdot \sqrt{\pi}\right) \cdot \left(e^{-7.5} \cdot \frac{\sqrt{15}}{z}\right)
\end{array}
Initial program 96.6%
Simplified95.3%
Taylor expanded in z around 0 94.6%
*-commutative94.6%
Simplified94.6%
Taylor expanded in z around 0 96.3%
*-commutative96.3%
associate-*l*96.4%
*-commutative96.4%
associate-/l*96.6%
*-commutative96.6%
Simplified96.6%
associate-*r/96.4%
sqrt-unprod96.4%
metadata-eval96.4%
Applied egg-rr96.4%
*-commutative96.4%
associate-/l*96.6%
Simplified96.6%
Final simplification96.6%
(FPCore (z) :precision binary64 (* (* 263.3831869810514 (sqrt PI)) (* (sqrt 15.0) (/ (exp -7.5) z))))
double code(double z) {
return (263.3831869810514 * sqrt(((double) M_PI))) * (sqrt(15.0) * (exp(-7.5) / z));
}
public static double code(double z) {
return (263.3831869810514 * Math.sqrt(Math.PI)) * (Math.sqrt(15.0) * (Math.exp(-7.5) / z));
}
def code(z): return (263.3831869810514 * math.sqrt(math.pi)) * (math.sqrt(15.0) * (math.exp(-7.5) / z))
function code(z) return Float64(Float64(263.3831869810514 * sqrt(pi)) * Float64(sqrt(15.0) * Float64(exp(-7.5) / z))) end
function tmp = code(z) tmp = (263.3831869810514 * sqrt(pi)) * (sqrt(15.0) * (exp(-7.5) / z)); end
code[z_] := N[(N[(263.3831869810514 * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[15.0], $MachinePrecision] * N[(N[Exp[-7.5], $MachinePrecision] / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(263.3831869810514 \cdot \sqrt{\pi}\right) \cdot \left(\sqrt{15} \cdot \frac{e^{-7.5}}{z}\right)
\end{array}
Initial program 96.6%
Simplified95.3%
Taylor expanded in z around 0 94.6%
*-commutative94.6%
Simplified94.6%
Taylor expanded in z around 0 96.3%
*-commutative96.3%
associate-*l*96.4%
*-commutative96.4%
associate-/l*96.6%
*-commutative96.6%
Simplified96.6%
pow196.6%
*-commutative96.6%
sqrt-unprod96.6%
metadata-eval96.6%
Applied egg-rr96.6%
Final simplification96.6%
(FPCore (z) :precision binary64 (* (sqrt 15.0) (* (/ (exp -7.5) z) (* 263.3831869810514 (sqrt PI)))))
double code(double z) {
return sqrt(15.0) * ((exp(-7.5) / z) * (263.3831869810514 * sqrt(((double) M_PI))));
}
public static double code(double z) {
return Math.sqrt(15.0) * ((Math.exp(-7.5) / z) * (263.3831869810514 * Math.sqrt(Math.PI)));
}
def code(z): return math.sqrt(15.0) * ((math.exp(-7.5) / z) * (263.3831869810514 * math.sqrt(math.pi)))
function code(z) return Float64(sqrt(15.0) * Float64(Float64(exp(-7.5) / z) * Float64(263.3831869810514 * sqrt(pi)))) end
function tmp = code(z) tmp = sqrt(15.0) * ((exp(-7.5) / z) * (263.3831869810514 * sqrt(pi))); end
code[z_] := N[(N[Sqrt[15.0], $MachinePrecision] * N[(N[(N[Exp[-7.5], $MachinePrecision] / z), $MachinePrecision] * N[(263.3831869810514 * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt{15} \cdot \left(\frac{e^{-7.5}}{z} \cdot \left(263.3831869810514 \cdot \sqrt{\pi}\right)\right)
\end{array}
Initial program 96.6%
Simplified95.3%
Taylor expanded in z around 0 94.6%
*-commutative94.6%
Simplified94.6%
Taylor expanded in z around 0 96.3%
*-commutative96.3%
associate-*l*96.4%
*-commutative96.4%
associate-/l*96.6%
*-commutative96.6%
Simplified96.6%
pow196.6%
associate-*l*96.6%
sqrt-unprod96.6%
metadata-eval96.6%
Applied egg-rr96.6%
Final simplification96.6%
(FPCore (z) :precision binary64 (* 263.3831869810514 (* (exp -7.5) (/ (sqrt (* PI 15.0)) z))))
double code(double z) {
return 263.3831869810514 * (exp(-7.5) * (sqrt((((double) M_PI) * 15.0)) / z));
}
public static double code(double z) {
return 263.3831869810514 * (Math.exp(-7.5) * (Math.sqrt((Math.PI * 15.0)) / z));
}
def code(z): return 263.3831869810514 * (math.exp(-7.5) * (math.sqrt((math.pi * 15.0)) / z))
function code(z) return Float64(263.3831869810514 * Float64(exp(-7.5) * Float64(sqrt(Float64(pi * 15.0)) / z))) end
function tmp = code(z) tmp = 263.3831869810514 * (exp(-7.5) * (sqrt((pi * 15.0)) / z)); end
code[z_] := N[(263.3831869810514 * N[(N[Exp[-7.5], $MachinePrecision] * N[(N[Sqrt[N[(Pi * 15.0), $MachinePrecision]], $MachinePrecision] / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
263.3831869810514 \cdot \left(e^{-7.5} \cdot \frac{\sqrt{\pi \cdot 15}}{z}\right)
\end{array}
Initial program 96.6%
Simplified95.3%
Taylor expanded in z around 0 96.3%
pow196.3%
*-commutative96.3%
associate-/l*96.5%
sqrt-unprod96.5%
metadata-eval96.5%
Applied egg-rr96.5%
unpow196.5%
*-commutative96.5%
associate-*l*96.2%
Simplified96.2%
Taylor expanded in z around 0 96.3%
associate-/l*96.5%
associate-*r*96.2%
associate-*l/95.7%
associate-/l*96.1%
Simplified96.1%
pow196.1%
metadata-eval96.1%
sqrt-unprod96.1%
associate-*r/95.7%
sqrt-unprod95.7%
metadata-eval95.7%
pow1/295.7%
pow1/295.7%
pow-prod-down95.7%
Applied egg-rr95.7%
unpow195.7%
unpow1/295.7%
*-commutative95.7%
Simplified95.7%
Final simplification95.7%
herbie shell --seed 2024080
(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))))))