
(FPCore (z)
:precision binary64
(let* ((t_0 (- (- 1.0 z) 1.0)) (t_1 (+ t_0 7.0)) (t_2 (+ t_1 0.5)))
(*
(/ PI (sin (* PI z)))
(*
(* (* (sqrt (* PI 2.0)) (pow t_2 (+ t_0 0.5))) (exp (- t_2)))
(+
(+
(+
(+
(+
(+
(+
(+ 0.9999999999998099 (/ 676.5203681218851 (+ t_0 1.0)))
(/ -1259.1392167224028 (+ t_0 2.0)))
(/ 771.3234287776531 (+ t_0 3.0)))
(/ -176.6150291621406 (+ t_0 4.0)))
(/ 12.507343278686905 (+ t_0 5.0)))
(/ -0.13857109526572012 (+ t_0 6.0)))
(/ 9.984369578019572e-6 t_1))
(/ 1.5056327351493116e-7 (+ t_0 8.0)))))))
double code(double z) {
double t_0 = (1.0 - z) - 1.0;
double t_1 = t_0 + 7.0;
double t_2 = t_1 + 0.5;
return (((double) M_PI) / sin((((double) M_PI) * z))) * (((sqrt((((double) M_PI) * 2.0)) * pow(t_2, (t_0 + 0.5))) * exp(-t_2)) * ((((((((0.9999999999998099 + (676.5203681218851 / (t_0 + 1.0))) + (-1259.1392167224028 / (t_0 + 2.0))) + (771.3234287776531 / (t_0 + 3.0))) + (-176.6150291621406 / (t_0 + 4.0))) + (12.507343278686905 / (t_0 + 5.0))) + (-0.13857109526572012 / (t_0 + 6.0))) + (9.984369578019572e-6 / t_1)) + (1.5056327351493116e-7 / (t_0 + 8.0))));
}
public static double code(double z) {
double t_0 = (1.0 - z) - 1.0;
double t_1 = t_0 + 7.0;
double t_2 = t_1 + 0.5;
return (Math.PI / Math.sin((Math.PI * z))) * (((Math.sqrt((Math.PI * 2.0)) * Math.pow(t_2, (t_0 + 0.5))) * Math.exp(-t_2)) * ((((((((0.9999999999998099 + (676.5203681218851 / (t_0 + 1.0))) + (-1259.1392167224028 / (t_0 + 2.0))) + (771.3234287776531 / (t_0 + 3.0))) + (-176.6150291621406 / (t_0 + 4.0))) + (12.507343278686905 / (t_0 + 5.0))) + (-0.13857109526572012 / (t_0 + 6.0))) + (9.984369578019572e-6 / t_1)) + (1.5056327351493116e-7 / (t_0 + 8.0))));
}
def code(z): t_0 = (1.0 - z) - 1.0 t_1 = t_0 + 7.0 t_2 = t_1 + 0.5 return (math.pi / math.sin((math.pi * z))) * (((math.sqrt((math.pi * 2.0)) * math.pow(t_2, (t_0 + 0.5))) * math.exp(-t_2)) * ((((((((0.9999999999998099 + (676.5203681218851 / (t_0 + 1.0))) + (-1259.1392167224028 / (t_0 + 2.0))) + (771.3234287776531 / (t_0 + 3.0))) + (-176.6150291621406 / (t_0 + 4.0))) + (12.507343278686905 / (t_0 + 5.0))) + (-0.13857109526572012 / (t_0 + 6.0))) + (9.984369578019572e-6 / t_1)) + (1.5056327351493116e-7 / (t_0 + 8.0))))
function code(z) t_0 = Float64(Float64(1.0 - z) - 1.0) t_1 = Float64(t_0 + 7.0) t_2 = Float64(t_1 + 0.5) return Float64(Float64(pi / sin(Float64(pi * z))) * Float64(Float64(Float64(sqrt(Float64(pi * 2.0)) * (t_2 ^ Float64(t_0 + 0.5))) * exp(Float64(-t_2))) * Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(0.9999999999998099 + Float64(676.5203681218851 / Float64(t_0 + 1.0))) + Float64(-1259.1392167224028 / Float64(t_0 + 2.0))) + Float64(771.3234287776531 / Float64(t_0 + 3.0))) + Float64(-176.6150291621406 / Float64(t_0 + 4.0))) + Float64(12.507343278686905 / Float64(t_0 + 5.0))) + Float64(-0.13857109526572012 / Float64(t_0 + 6.0))) + Float64(9.984369578019572e-6 / t_1)) + Float64(1.5056327351493116e-7 / Float64(t_0 + 8.0))))) end
function tmp = code(z) t_0 = (1.0 - z) - 1.0; t_1 = t_0 + 7.0; t_2 = t_1 + 0.5; tmp = (pi / sin((pi * z))) * (((sqrt((pi * 2.0)) * (t_2 ^ (t_0 + 0.5))) * exp(-t_2)) * ((((((((0.9999999999998099 + (676.5203681218851 / (t_0 + 1.0))) + (-1259.1392167224028 / (t_0 + 2.0))) + (771.3234287776531 / (t_0 + 3.0))) + (-176.6150291621406 / (t_0 + 4.0))) + (12.507343278686905 / (t_0 + 5.0))) + (-0.13857109526572012 / (t_0 + 6.0))) + (9.984369578019572e-6 / t_1)) + (1.5056327351493116e-7 / (t_0 + 8.0)))); end
code[z_] := Block[{t$95$0 = N[(N[(1.0 - z), $MachinePrecision] - 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(t$95$0 + 7.0), $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 + 0.5), $MachinePrecision]}, N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[Power[t$95$2, N[(t$95$0 + 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Exp[(-t$95$2)], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(N[(N[(N[(N[(0.9999999999998099 + N[(676.5203681218851 / N[(t$95$0 + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-1259.1392167224028 / N[(t$95$0 + 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(771.3234287776531 / N[(t$95$0 + 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-176.6150291621406 / N[(t$95$0 + 4.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(12.507343278686905 / N[(t$95$0 + 5.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(t$95$0 + 6.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(9.984369578019572e-6 / t$95$1), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(t$95$0 + 8.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(1 - z\right) - 1\\
t_1 := t\_0 + 7\\
t_2 := t\_1 + 0.5\\
\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\sqrt{\pi \cdot 2} \cdot {t\_2}^{\left(t\_0 + 0.5\right)}\right) \cdot e^{-t\_2}\right) \cdot \left(\left(\left(\left(\left(\left(\left(\left(0.9999999999998099 + \frac{676.5203681218851}{t\_0 + 1}\right) + \frac{-1259.1392167224028}{t\_0 + 2}\right) + \frac{771.3234287776531}{t\_0 + 3}\right) + \frac{-176.6150291621406}{t\_0 + 4}\right) + \frac{12.507343278686905}{t\_0 + 5}\right) + \frac{-0.13857109526572012}{t\_0 + 6}\right) + \frac{9.984369578019572 \cdot 10^{-6}}{t\_1}\right) + \frac{1.5056327351493116 \cdot 10^{-7}}{t\_0 + 8}\right)\right)
\end{array}
\end{array}
Herbie found 13 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
(*
(-
(-
(-
(-
(-
(-
(-
(- (/ 676.5203681218851 (- (- 1.0 z) 0.0)) -0.9999999999998099)
(/ 1259.1392167224028 (- (- 1.0 z) -1.0)))
(/ -771.3234287776531 (- (- 1.0 z) -2.0)))
(/ 176.6150291621406 (- (- 1.0 z) -3.0)))
(/ -12.507343278686905 (- (- 1.0 z) -4.0)))
(/ 0.13857109526572012 (- (- 1.0 z) -5.0)))
(/ -9.984369578019572e-6 (- (- 1.0 z) -6.0)))
(/ -1.5056327351493116e-7 (- (- 1.0 z) -7.0)))
(*
(* (sqrt PI) (sqrt 2.0))
(exp
(-
(+
z
(*
(log (- 7.5 z))
(/ (- 0.125 (* (* z z) z)) (+ 0.25 (fma z z (* 0.5 z))))))
7.5)))))
(/ 1.0 (sin (* z PI)))))
double code(double z) {
return (((double) M_PI) * ((((((((((676.5203681218851 / ((1.0 - z) - 0.0)) - -0.9999999999998099) - (1259.1392167224028 / ((1.0 - z) - -1.0))) - (-771.3234287776531 / ((1.0 - z) - -2.0))) - (176.6150291621406 / ((1.0 - z) - -3.0))) - (-12.507343278686905 / ((1.0 - z) - -4.0))) - (0.13857109526572012 / ((1.0 - z) - -5.0))) - (-9.984369578019572e-6 / ((1.0 - z) - -6.0))) - (-1.5056327351493116e-7 / ((1.0 - z) - -7.0))) * ((sqrt(((double) M_PI)) * sqrt(2.0)) * exp(((z + (log((7.5 - z)) * ((0.125 - ((z * z) * z)) / (0.25 + fma(z, z, (0.5 * z)))))) - 7.5))))) * (1.0 / sin((z * ((double) M_PI))));
}
function code(z) return Float64(Float64(pi * Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(676.5203681218851 / Float64(Float64(1.0 - z) - 0.0)) - -0.9999999999998099) - Float64(1259.1392167224028 / Float64(Float64(1.0 - z) - -1.0))) - Float64(-771.3234287776531 / Float64(Float64(1.0 - z) - -2.0))) - Float64(176.6150291621406 / Float64(Float64(1.0 - z) - -3.0))) - Float64(-12.507343278686905 / Float64(Float64(1.0 - z) - -4.0))) - Float64(0.13857109526572012 / Float64(Float64(1.0 - z) - -5.0))) - Float64(-9.984369578019572e-6 / Float64(Float64(1.0 - z) - -6.0))) - Float64(-1.5056327351493116e-7 / Float64(Float64(1.0 - z) - -7.0))) * Float64(Float64(sqrt(pi) * sqrt(2.0)) * exp(Float64(Float64(z + Float64(log(Float64(7.5 - z)) * Float64(Float64(0.125 - Float64(Float64(z * z) * z)) / Float64(0.25 + fma(z, z, Float64(0.5 * z)))))) - 7.5))))) * Float64(1.0 / sin(Float64(z * pi)))) end
code[z_] := N[(N[(Pi * N[(N[(N[(N[(N[(N[(N[(N[(N[(N[(676.5203681218851 / N[(N[(1.0 - z), $MachinePrecision] - 0.0), $MachinePrecision]), $MachinePrecision] - -0.9999999999998099), $MachinePrecision] - N[(1259.1392167224028 / N[(N[(1.0 - z), $MachinePrecision] - -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(-771.3234287776531 / N[(N[(1.0 - z), $MachinePrecision] - -2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(176.6150291621406 / N[(N[(1.0 - z), $MachinePrecision] - -3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(-12.507343278686905 / N[(N[(1.0 - z), $MachinePrecision] - -4.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(0.13857109526572012 / N[(N[(1.0 - z), $MachinePrecision] - -5.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(-9.984369578019572e-6 / N[(N[(1.0 - z), $MachinePrecision] - -6.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(-1.5056327351493116e-7 / N[(N[(1.0 - z), $MachinePrecision] - -7.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sqrt[Pi], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[Exp[N[(N[(z + N[(N[Log[N[(7.5 - z), $MachinePrecision]], $MachinePrecision] * N[(N[(0.125 - N[(N[(z * z), $MachinePrecision] * z), $MachinePrecision]), $MachinePrecision] / N[(0.25 + N[(z * z + N[(0.5 * z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[Sin[N[(z * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\pi \cdot \left(\left(\left(\left(\left(\left(\left(\left(\left(\frac{676.5203681218851}{\left(1 - z\right) - 0} - -0.9999999999998099\right) - \frac{1259.1392167224028}{\left(1 - z\right) - -1}\right) - \frac{-771.3234287776531}{\left(1 - z\right) - -2}\right) - \frac{176.6150291621406}{\left(1 - z\right) - -3}\right) - \frac{-12.507343278686905}{\left(1 - z\right) - -4}\right) - \frac{0.13857109526572012}{\left(1 - z\right) - -5}\right) - \frac{-9.984369578019572 \cdot 10^{-6}}{\left(1 - z\right) - -6}\right) - \frac{-1.5056327351493116 \cdot 10^{-7}}{\left(1 - z\right) - -7}\right) \cdot \left(\left(\sqrt{\pi} \cdot \sqrt{2}\right) \cdot e^{\left(z + \log \left(7.5 - z\right) \cdot \frac{0.125 - \left(z \cdot z\right) \cdot z}{0.25 + \mathsf{fma}\left(z, z, 0.5 \cdot z\right)}\right) - 7.5}\right)\right)\right) \cdot \frac{1}{\sin \left(z \cdot \pi\right)}
\end{array}
Initial program 96.4%
Applied rewrites97.6%
lift-sqrt.f64N/A
lift-*.f64N/A
*-commutativeN/A
sqrt-prodN/A
lift-PI.f64N/A
lower-*.f64N/A
lift-PI.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6498.8
Applied rewrites98.8%
Taylor expanded in z around inf
lower-exp.f64N/A
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lower-log.f64N/A
lower--.f64N/A
lower--.f6498.8
Applied rewrites98.8%
lift--.f64N/A
flip3--N/A
lower-/.f64N/A
lower--.f64N/A
metadata-evalN/A
unpow3N/A
lower-*.f64N/A
lower-*.f64N/A
lower-+.f64N/A
metadata-evalN/A
lower-fma.f64N/A
lower-*.f6498.8
Applied rewrites98.8%
(FPCore (z)
:precision binary64
(*
(*
PI
(*
(-
(-
(-
(-
(-
(-
(-
(- (/ 676.5203681218851 (- 1.0 z)) -0.9999999999998099)
(/ 1259.1392167224028 (- (- 1.0 z) -1.0)))
(/ -771.3234287776531 (- (- 1.0 z) -2.0)))
(/ 176.6150291621406 (- (- 1.0 z) -3.0)))
(/ -12.507343278686905 (- (- 1.0 z) -4.0)))
(/ 0.13857109526572012 (- (- 1.0 z) -5.0)))
(/ -9.984369578019572e-6 (- (- 1.0 z) -6.0)))
(/ -1.5056327351493116e-7 (- (- 1.0 z) -7.0)))
(*
(* (sqrt PI) (sqrt 2.0))
(exp (- (+ z (* (log (- 7.5 z)) (- 0.5 z))) 7.5)))))
(/ 1.0 (sin (* z PI)))))
double code(double z) {
return (((double) M_PI) * ((((((((((676.5203681218851 / (1.0 - z)) - -0.9999999999998099) - (1259.1392167224028 / ((1.0 - z) - -1.0))) - (-771.3234287776531 / ((1.0 - z) - -2.0))) - (176.6150291621406 / ((1.0 - z) - -3.0))) - (-12.507343278686905 / ((1.0 - z) - -4.0))) - (0.13857109526572012 / ((1.0 - z) - -5.0))) - (-9.984369578019572e-6 / ((1.0 - z) - -6.0))) - (-1.5056327351493116e-7 / ((1.0 - z) - -7.0))) * ((sqrt(((double) M_PI)) * sqrt(2.0)) * exp(((z + (log((7.5 - z)) * (0.5 - z))) - 7.5))))) * (1.0 / sin((z * ((double) M_PI))));
}
public static double code(double z) {
return (Math.PI * ((((((((((676.5203681218851 / (1.0 - z)) - -0.9999999999998099) - (1259.1392167224028 / ((1.0 - z) - -1.0))) - (-771.3234287776531 / ((1.0 - z) - -2.0))) - (176.6150291621406 / ((1.0 - z) - -3.0))) - (-12.507343278686905 / ((1.0 - z) - -4.0))) - (0.13857109526572012 / ((1.0 - z) - -5.0))) - (-9.984369578019572e-6 / ((1.0 - z) - -6.0))) - (-1.5056327351493116e-7 / ((1.0 - z) - -7.0))) * ((Math.sqrt(Math.PI) * Math.sqrt(2.0)) * Math.exp(((z + (Math.log((7.5 - z)) * (0.5 - z))) - 7.5))))) * (1.0 / Math.sin((z * Math.PI)));
}
def code(z): return (math.pi * ((((((((((676.5203681218851 / (1.0 - z)) - -0.9999999999998099) - (1259.1392167224028 / ((1.0 - z) - -1.0))) - (-771.3234287776531 / ((1.0 - z) - -2.0))) - (176.6150291621406 / ((1.0 - z) - -3.0))) - (-12.507343278686905 / ((1.0 - z) - -4.0))) - (0.13857109526572012 / ((1.0 - z) - -5.0))) - (-9.984369578019572e-6 / ((1.0 - z) - -6.0))) - (-1.5056327351493116e-7 / ((1.0 - z) - -7.0))) * ((math.sqrt(math.pi) * math.sqrt(2.0)) * math.exp(((z + (math.log((7.5 - z)) * (0.5 - z))) - 7.5))))) * (1.0 / math.sin((z * math.pi)))
function code(z) return Float64(Float64(pi * Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(676.5203681218851 / Float64(1.0 - z)) - -0.9999999999998099) - Float64(1259.1392167224028 / Float64(Float64(1.0 - z) - -1.0))) - Float64(-771.3234287776531 / Float64(Float64(1.0 - z) - -2.0))) - Float64(176.6150291621406 / Float64(Float64(1.0 - z) - -3.0))) - Float64(-12.507343278686905 / Float64(Float64(1.0 - z) - -4.0))) - Float64(0.13857109526572012 / Float64(Float64(1.0 - z) - -5.0))) - Float64(-9.984369578019572e-6 / Float64(Float64(1.0 - z) - -6.0))) - Float64(-1.5056327351493116e-7 / Float64(Float64(1.0 - z) - -7.0))) * Float64(Float64(sqrt(pi) * sqrt(2.0)) * exp(Float64(Float64(z + Float64(log(Float64(7.5 - z)) * Float64(0.5 - z))) - 7.5))))) * Float64(1.0 / sin(Float64(z * pi)))) end
function tmp = code(z) tmp = (pi * ((((((((((676.5203681218851 / (1.0 - z)) - -0.9999999999998099) - (1259.1392167224028 / ((1.0 - z) - -1.0))) - (-771.3234287776531 / ((1.0 - z) - -2.0))) - (176.6150291621406 / ((1.0 - z) - -3.0))) - (-12.507343278686905 / ((1.0 - z) - -4.0))) - (0.13857109526572012 / ((1.0 - z) - -5.0))) - (-9.984369578019572e-6 / ((1.0 - z) - -6.0))) - (-1.5056327351493116e-7 / ((1.0 - z) - -7.0))) * ((sqrt(pi) * sqrt(2.0)) * exp(((z + (log((7.5 - z)) * (0.5 - z))) - 7.5))))) * (1.0 / sin((z * pi))); end
code[z_] := N[(N[(Pi * N[(N[(N[(N[(N[(N[(N[(N[(N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] - -0.9999999999998099), $MachinePrecision] - N[(1259.1392167224028 / N[(N[(1.0 - z), $MachinePrecision] - -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(-771.3234287776531 / N[(N[(1.0 - z), $MachinePrecision] - -2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(176.6150291621406 / N[(N[(1.0 - z), $MachinePrecision] - -3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(-12.507343278686905 / N[(N[(1.0 - z), $MachinePrecision] - -4.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(0.13857109526572012 / N[(N[(1.0 - z), $MachinePrecision] - -5.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(-9.984369578019572e-6 / N[(N[(1.0 - z), $MachinePrecision] - -6.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(-1.5056327351493116e-7 / N[(N[(1.0 - z), $MachinePrecision] - -7.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sqrt[Pi], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[Exp[N[(N[(z + N[(N[Log[N[(7.5 - z), $MachinePrecision]], $MachinePrecision] * N[(0.5 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[Sin[N[(z * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\pi \cdot \left(\left(\left(\left(\left(\left(\left(\left(\left(\frac{676.5203681218851}{1 - z} - -0.9999999999998099\right) - \frac{1259.1392167224028}{\left(1 - z\right) - -1}\right) - \frac{-771.3234287776531}{\left(1 - z\right) - -2}\right) - \frac{176.6150291621406}{\left(1 - z\right) - -3}\right) - \frac{-12.507343278686905}{\left(1 - z\right) - -4}\right) - \frac{0.13857109526572012}{\left(1 - z\right) - -5}\right) - \frac{-9.984369578019572 \cdot 10^{-6}}{\left(1 - z\right) - -6}\right) - \frac{-1.5056327351493116 \cdot 10^{-7}}{\left(1 - z\right) - -7}\right) \cdot \left(\left(\sqrt{\pi} \cdot \sqrt{2}\right) \cdot e^{\left(z + \log \left(7.5 - z\right) \cdot \left(0.5 - z\right)\right) - 7.5}\right)\right)\right) \cdot \frac{1}{\sin \left(z \cdot \pi\right)}
\end{array}
Initial program 96.4%
Applied rewrites97.6%
lift-sqrt.f64N/A
lift-*.f64N/A
*-commutativeN/A
sqrt-prodN/A
lift-PI.f64N/A
lower-*.f64N/A
lift-PI.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6498.8
Applied rewrites98.8%
Taylor expanded in z around inf
lower-exp.f64N/A
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lower-log.f64N/A
lower--.f64N/A
lower--.f6498.8
Applied rewrites98.8%
lift--.f64N/A
--rgt-identity98.8
Applied rewrites98.8%
(FPCore (z)
:precision binary64
(*
PI
(*
(*
(*
(-
(-
(-
(-
(-
(-
(-
(- (/ 676.5203681218851 (- 1.0 z)) -0.9999999999998099)
(/ 1259.1392167224028 (- (- 1.0 z) -1.0)))
(/ -771.3234287776531 (- (- 1.0 z) -2.0)))
(/ 176.6150291621406 (- (- 1.0 z) -3.0)))
(/ -12.507343278686905 (- (- 1.0 z) -4.0)))
(/ 0.13857109526572012 (- (- 1.0 z) -5.0)))
(/ -9.984369578019572e-6 (- (- 1.0 z) -6.0)))
(/ -1.5056327351493116e-7 (- (- 1.0 z) -7.0)))
(sqrt (+ PI PI)))
(exp (- (fma (- 0.5 z) (log (- 7.5 z)) z) 7.5)))
(/ 1.0 (sin (* z PI))))))
double code(double z) {
return ((double) M_PI) * ((((((((((((676.5203681218851 / (1.0 - z)) - -0.9999999999998099) - (1259.1392167224028 / ((1.0 - z) - -1.0))) - (-771.3234287776531 / ((1.0 - z) - -2.0))) - (176.6150291621406 / ((1.0 - z) - -3.0))) - (-12.507343278686905 / ((1.0 - z) - -4.0))) - (0.13857109526572012 / ((1.0 - z) - -5.0))) - (-9.984369578019572e-6 / ((1.0 - z) - -6.0))) - (-1.5056327351493116e-7 / ((1.0 - z) - -7.0))) * sqrt((((double) M_PI) + ((double) M_PI)))) * exp((fma((0.5 - z), log((7.5 - z)), z) - 7.5))) * (1.0 / sin((z * ((double) M_PI)))));
}
function code(z) return Float64(pi * Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(676.5203681218851 / Float64(1.0 - z)) - -0.9999999999998099) - Float64(1259.1392167224028 / Float64(Float64(1.0 - z) - -1.0))) - Float64(-771.3234287776531 / Float64(Float64(1.0 - z) - -2.0))) - Float64(176.6150291621406 / Float64(Float64(1.0 - z) - -3.0))) - Float64(-12.507343278686905 / Float64(Float64(1.0 - z) - -4.0))) - Float64(0.13857109526572012 / Float64(Float64(1.0 - z) - -5.0))) - Float64(-9.984369578019572e-6 / Float64(Float64(1.0 - z) - -6.0))) - Float64(-1.5056327351493116e-7 / Float64(Float64(1.0 - z) - -7.0))) * sqrt(Float64(pi + pi))) * exp(Float64(fma(Float64(0.5 - z), log(Float64(7.5 - z)), z) - 7.5))) * Float64(1.0 / sin(Float64(z * pi))))) end
code[z_] := N[(Pi * N[(N[(N[(N[(N[(N[(N[(N[(N[(N[(N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] - -0.9999999999998099), $MachinePrecision] - N[(1259.1392167224028 / N[(N[(1.0 - z), $MachinePrecision] - -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(-771.3234287776531 / N[(N[(1.0 - z), $MachinePrecision] - -2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(176.6150291621406 / N[(N[(1.0 - z), $MachinePrecision] - -3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(-12.507343278686905 / N[(N[(1.0 - z), $MachinePrecision] - -4.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(0.13857109526572012 / N[(N[(1.0 - z), $MachinePrecision] - -5.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(-9.984369578019572e-6 / N[(N[(1.0 - z), $MachinePrecision] - -6.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(-1.5056327351493116e-7 / N[(N[(1.0 - z), $MachinePrecision] - -7.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(Pi + Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Exp[N[(N[(N[(0.5 - z), $MachinePrecision] * N[Log[N[(7.5 - z), $MachinePrecision]], $MachinePrecision] + z), $MachinePrecision] - 7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[Sin[N[(z * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\pi \cdot \left(\left(\left(\left(\left(\left(\left(\left(\left(\left(\left(\frac{676.5203681218851}{1 - z} - -0.9999999999998099\right) - \frac{1259.1392167224028}{\left(1 - z\right) - -1}\right) - \frac{-771.3234287776531}{\left(1 - z\right) - -2}\right) - \frac{176.6150291621406}{\left(1 - z\right) - -3}\right) - \frac{-12.507343278686905}{\left(1 - z\right) - -4}\right) - \frac{0.13857109526572012}{\left(1 - z\right) - -5}\right) - \frac{-9.984369578019572 \cdot 10^{-6}}{\left(1 - z\right) - -6}\right) - \frac{-1.5056327351493116 \cdot 10^{-7}}{\left(1 - z\right) - -7}\right) \cdot \sqrt{\pi + \pi}\right) \cdot e^{\mathsf{fma}\left(0.5 - z, \log \left(7.5 - z\right), z\right) - 7.5}\right) \cdot \frac{1}{\sin \left(z \cdot \pi\right)}\right)
\end{array}
Initial program 96.4%
Applied rewrites97.6%
lift-sqrt.f64N/A
lift-*.f64N/A
*-commutativeN/A
sqrt-prodN/A
lift-PI.f64N/A
lower-*.f64N/A
lift-PI.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6498.8
Applied rewrites98.8%
Taylor expanded in z around inf
lower-exp.f64N/A
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lower-log.f64N/A
lower--.f64N/A
lower--.f6498.8
Applied rewrites98.8%
Applied rewrites98.5%
(FPCore (z)
:precision binary64
(/
(*
PI
(*
(*
(-
(-
(-
(-
(-
(-
(-
(- (/ 676.5203681218851 (- 1.0 z)) -0.9999999999998099)
(/ 1259.1392167224028 (- (- 1.0 z) -1.0)))
(/ -771.3234287776531 (- (- 1.0 z) -2.0)))
(/ 176.6150291621406 (- (- 1.0 z) -3.0)))
(/ -12.507343278686905 (- (- 1.0 z) -4.0)))
(/ 0.13857109526572012 (- (- 1.0 z) -5.0)))
(/ -9.984369578019572e-6 (- (- 1.0 z) -6.0)))
(/ -1.5056327351493116e-7 (- (- 1.0 z) -7.0)))
(sqrt (+ PI PI)))
(exp (- (fma (- 0.5 z) (log (- 7.5 z)) z) 7.5))))
(sin (* z PI))))
double code(double z) {
return (((double) M_PI) * (((((((((((676.5203681218851 / (1.0 - z)) - -0.9999999999998099) - (1259.1392167224028 / ((1.0 - z) - -1.0))) - (-771.3234287776531 / ((1.0 - z) - -2.0))) - (176.6150291621406 / ((1.0 - z) - -3.0))) - (-12.507343278686905 / ((1.0 - z) - -4.0))) - (0.13857109526572012 / ((1.0 - z) - -5.0))) - (-9.984369578019572e-6 / ((1.0 - z) - -6.0))) - (-1.5056327351493116e-7 / ((1.0 - z) - -7.0))) * sqrt((((double) M_PI) + ((double) M_PI)))) * exp((fma((0.5 - z), log((7.5 - z)), z) - 7.5)))) / sin((z * ((double) M_PI)));
}
function code(z) return Float64(Float64(pi * Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(676.5203681218851 / Float64(1.0 - z)) - -0.9999999999998099) - Float64(1259.1392167224028 / Float64(Float64(1.0 - z) - -1.0))) - Float64(-771.3234287776531 / Float64(Float64(1.0 - z) - -2.0))) - Float64(176.6150291621406 / Float64(Float64(1.0 - z) - -3.0))) - Float64(-12.507343278686905 / Float64(Float64(1.0 - z) - -4.0))) - Float64(0.13857109526572012 / Float64(Float64(1.0 - z) - -5.0))) - Float64(-9.984369578019572e-6 / Float64(Float64(1.0 - z) - -6.0))) - Float64(-1.5056327351493116e-7 / Float64(Float64(1.0 - z) - -7.0))) * sqrt(Float64(pi + pi))) * exp(Float64(fma(Float64(0.5 - z), log(Float64(7.5 - z)), z) - 7.5)))) / sin(Float64(z * pi))) end
code[z_] := N[(N[(Pi * N[(N[(N[(N[(N[(N[(N[(N[(N[(N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] - -0.9999999999998099), $MachinePrecision] - N[(1259.1392167224028 / N[(N[(1.0 - z), $MachinePrecision] - -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(-771.3234287776531 / N[(N[(1.0 - z), $MachinePrecision] - -2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(176.6150291621406 / N[(N[(1.0 - z), $MachinePrecision] - -3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(-12.507343278686905 / N[(N[(1.0 - z), $MachinePrecision] - -4.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(0.13857109526572012 / N[(N[(1.0 - z), $MachinePrecision] - -5.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(-9.984369578019572e-6 / N[(N[(1.0 - z), $MachinePrecision] - -6.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(-1.5056327351493116e-7 / N[(N[(1.0 - z), $MachinePrecision] - -7.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(Pi + Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Exp[N[(N[(N[(0.5 - z), $MachinePrecision] * N[Log[N[(7.5 - z), $MachinePrecision]], $MachinePrecision] + z), $MachinePrecision] - 7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sin[N[(z * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\pi \cdot \left(\left(\left(\left(\left(\left(\left(\left(\left(\left(\frac{676.5203681218851}{1 - z} - -0.9999999999998099\right) - \frac{1259.1392167224028}{\left(1 - z\right) - -1}\right) - \frac{-771.3234287776531}{\left(1 - z\right) - -2}\right) - \frac{176.6150291621406}{\left(1 - z\right) - -3}\right) - \frac{-12.507343278686905}{\left(1 - z\right) - -4}\right) - \frac{0.13857109526572012}{\left(1 - z\right) - -5}\right) - \frac{-9.984369578019572 \cdot 10^{-6}}{\left(1 - z\right) - -6}\right) - \frac{-1.5056327351493116 \cdot 10^{-7}}{\left(1 - z\right) - -7}\right) \cdot \sqrt{\pi + \pi}\right) \cdot e^{\mathsf{fma}\left(0.5 - z, \log \left(7.5 - z\right), z\right) - 7.5}\right)}{\sin \left(z \cdot \pi\right)}
\end{array}
Initial program 96.4%
Applied rewrites97.6%
lift-sqrt.f64N/A
lift-*.f64N/A
*-commutativeN/A
sqrt-prodN/A
lift-PI.f64N/A
lower-*.f64N/A
lift-PI.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6498.8
Applied rewrites98.8%
Taylor expanded in z around inf
lower-exp.f64N/A
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lower-log.f64N/A
lower--.f64N/A
lower--.f6498.8
Applied rewrites98.8%
Applied rewrites98.4%
(FPCore (z)
:precision binary64
(*
(*
PI
(*
(-
(-
(-
(-
(-
(-
(-
(- (/ 676.5203681218851 (- (- 1.0 z) 0.0)) -0.9999999999998099)
(/ 1259.1392167224028 (- (- 1.0 z) -1.0)))
(/ -771.3234287776531 (- (- 1.0 z) -2.0)))
(/ 176.6150291621406 (- (- 1.0 z) -3.0)))
(/ -12.507343278686905 (- (- 1.0 z) -4.0)))
(/ 0.13857109526572012 (- (- 1.0 z) -5.0)))
(/ -9.984369578019572e-6 (- (- 1.0 z) -6.0)))
-1.8820409189366395e-8)
(*
(* (sqrt PI) (sqrt 2.0))
(exp (- (+ z (* (log (- 7.5 z)) (- 0.5 z))) 7.5)))))
(/ 1.0 (sin (* z PI)))))
double code(double z) {
return (((double) M_PI) * ((((((((((676.5203681218851 / ((1.0 - z) - 0.0)) - -0.9999999999998099) - (1259.1392167224028 / ((1.0 - z) - -1.0))) - (-771.3234287776531 / ((1.0 - z) - -2.0))) - (176.6150291621406 / ((1.0 - z) - -3.0))) - (-12.507343278686905 / ((1.0 - z) - -4.0))) - (0.13857109526572012 / ((1.0 - z) - -5.0))) - (-9.984369578019572e-6 / ((1.0 - z) - -6.0))) - -1.8820409189366395e-8) * ((sqrt(((double) M_PI)) * sqrt(2.0)) * exp(((z + (log((7.5 - z)) * (0.5 - z))) - 7.5))))) * (1.0 / sin((z * ((double) M_PI))));
}
public static double code(double z) {
return (Math.PI * ((((((((((676.5203681218851 / ((1.0 - z) - 0.0)) - -0.9999999999998099) - (1259.1392167224028 / ((1.0 - z) - -1.0))) - (-771.3234287776531 / ((1.0 - z) - -2.0))) - (176.6150291621406 / ((1.0 - z) - -3.0))) - (-12.507343278686905 / ((1.0 - z) - -4.0))) - (0.13857109526572012 / ((1.0 - z) - -5.0))) - (-9.984369578019572e-6 / ((1.0 - z) - -6.0))) - -1.8820409189366395e-8) * ((Math.sqrt(Math.PI) * Math.sqrt(2.0)) * Math.exp(((z + (Math.log((7.5 - z)) * (0.5 - z))) - 7.5))))) * (1.0 / Math.sin((z * Math.PI)));
}
def code(z): return (math.pi * ((((((((((676.5203681218851 / ((1.0 - z) - 0.0)) - -0.9999999999998099) - (1259.1392167224028 / ((1.0 - z) - -1.0))) - (-771.3234287776531 / ((1.0 - z) - -2.0))) - (176.6150291621406 / ((1.0 - z) - -3.0))) - (-12.507343278686905 / ((1.0 - z) - -4.0))) - (0.13857109526572012 / ((1.0 - z) - -5.0))) - (-9.984369578019572e-6 / ((1.0 - z) - -6.0))) - -1.8820409189366395e-8) * ((math.sqrt(math.pi) * math.sqrt(2.0)) * math.exp(((z + (math.log((7.5 - z)) * (0.5 - z))) - 7.5))))) * (1.0 / math.sin((z * math.pi)))
function code(z) return Float64(Float64(pi * Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(676.5203681218851 / Float64(Float64(1.0 - z) - 0.0)) - -0.9999999999998099) - Float64(1259.1392167224028 / Float64(Float64(1.0 - z) - -1.0))) - Float64(-771.3234287776531 / Float64(Float64(1.0 - z) - -2.0))) - Float64(176.6150291621406 / Float64(Float64(1.0 - z) - -3.0))) - Float64(-12.507343278686905 / Float64(Float64(1.0 - z) - -4.0))) - Float64(0.13857109526572012 / Float64(Float64(1.0 - z) - -5.0))) - Float64(-9.984369578019572e-6 / Float64(Float64(1.0 - z) - -6.0))) - -1.8820409189366395e-8) * Float64(Float64(sqrt(pi) * sqrt(2.0)) * exp(Float64(Float64(z + Float64(log(Float64(7.5 - z)) * Float64(0.5 - z))) - 7.5))))) * Float64(1.0 / sin(Float64(z * pi)))) end
function tmp = code(z) tmp = (pi * ((((((((((676.5203681218851 / ((1.0 - z) - 0.0)) - -0.9999999999998099) - (1259.1392167224028 / ((1.0 - z) - -1.0))) - (-771.3234287776531 / ((1.0 - z) - -2.0))) - (176.6150291621406 / ((1.0 - z) - -3.0))) - (-12.507343278686905 / ((1.0 - z) - -4.0))) - (0.13857109526572012 / ((1.0 - z) - -5.0))) - (-9.984369578019572e-6 / ((1.0 - z) - -6.0))) - -1.8820409189366395e-8) * ((sqrt(pi) * sqrt(2.0)) * exp(((z + (log((7.5 - z)) * (0.5 - z))) - 7.5))))) * (1.0 / sin((z * pi))); end
code[z_] := N[(N[(Pi * N[(N[(N[(N[(N[(N[(N[(N[(N[(N[(676.5203681218851 / N[(N[(1.0 - z), $MachinePrecision] - 0.0), $MachinePrecision]), $MachinePrecision] - -0.9999999999998099), $MachinePrecision] - N[(1259.1392167224028 / N[(N[(1.0 - z), $MachinePrecision] - -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(-771.3234287776531 / N[(N[(1.0 - z), $MachinePrecision] - -2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(176.6150291621406 / N[(N[(1.0 - z), $MachinePrecision] - -3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(-12.507343278686905 / N[(N[(1.0 - z), $MachinePrecision] - -4.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(0.13857109526572012 / N[(N[(1.0 - z), $MachinePrecision] - -5.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(-9.984369578019572e-6 / N[(N[(1.0 - z), $MachinePrecision] - -6.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - -1.8820409189366395e-8), $MachinePrecision] * N[(N[(N[Sqrt[Pi], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[Exp[N[(N[(z + N[(N[Log[N[(7.5 - z), $MachinePrecision]], $MachinePrecision] * N[(0.5 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[Sin[N[(z * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\pi \cdot \left(\left(\left(\left(\left(\left(\left(\left(\left(\frac{676.5203681218851}{\left(1 - z\right) - 0} - -0.9999999999998099\right) - \frac{1259.1392167224028}{\left(1 - z\right) - -1}\right) - \frac{-771.3234287776531}{\left(1 - z\right) - -2}\right) - \frac{176.6150291621406}{\left(1 - z\right) - -3}\right) - \frac{-12.507343278686905}{\left(1 - z\right) - -4}\right) - \frac{0.13857109526572012}{\left(1 - z\right) - -5}\right) - \frac{-9.984369578019572 \cdot 10^{-6}}{\left(1 - z\right) - -6}\right) - -1.8820409189366395 \cdot 10^{-8}\right) \cdot \left(\left(\sqrt{\pi} \cdot \sqrt{2}\right) \cdot e^{\left(z + \log \left(7.5 - z\right) \cdot \left(0.5 - z\right)\right) - 7.5}\right)\right)\right) \cdot \frac{1}{\sin \left(z \cdot \pi\right)}
\end{array}
Initial program 96.4%
Applied rewrites97.6%
lift-sqrt.f64N/A
lift-*.f64N/A
*-commutativeN/A
sqrt-prodN/A
lift-PI.f64N/A
lower-*.f64N/A
lift-PI.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6498.8
Applied rewrites98.8%
Taylor expanded in z around inf
lower-exp.f64N/A
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lower-log.f64N/A
lower--.f64N/A
lower--.f6498.8
Applied rewrites98.8%
Taylor expanded in z around 0
Applied rewrites98.5%
(FPCore (z)
:precision binary64
(let* ((t_0 (- (- 1.0 z) -6.5)))
(/
(*
(*
PI
(fma (fma 545.0353078428827 z 436.8961725563396) z 263.3831869810514))
(* (exp (- (* (- (- 1.0 z) 0.5) (log t_0)) t_0)) (sqrt (+ PI PI))))
(sin (* z PI)))))
double code(double z) {
double t_0 = (1.0 - z) - -6.5;
return ((((double) M_PI) * fma(fma(545.0353078428827, z, 436.8961725563396), z, 263.3831869810514)) * (exp(((((1.0 - z) - 0.5) * log(t_0)) - t_0)) * sqrt((((double) M_PI) + ((double) M_PI))))) / sin((z * ((double) M_PI)));
}
function code(z) t_0 = Float64(Float64(1.0 - z) - -6.5) return Float64(Float64(Float64(pi * fma(fma(545.0353078428827, z, 436.8961725563396), z, 263.3831869810514)) * Float64(exp(Float64(Float64(Float64(Float64(1.0 - z) - 0.5) * log(t_0)) - t_0)) * sqrt(Float64(pi + pi)))) / sin(Float64(z * pi))) end
code[z_] := Block[{t$95$0 = N[(N[(1.0 - z), $MachinePrecision] - -6.5), $MachinePrecision]}, N[(N[(N[(Pi * N[(N[(545.0353078428827 * z + 436.8961725563396), $MachinePrecision] * z + 263.3831869810514), $MachinePrecision]), $MachinePrecision] * N[(N[Exp[N[(N[(N[(N[(1.0 - z), $MachinePrecision] - 0.5), $MachinePrecision] * N[Log[t$95$0], $MachinePrecision]), $MachinePrecision] - t$95$0), $MachinePrecision]], $MachinePrecision] * N[Sqrt[N[(Pi + Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sin[N[(z * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(1 - z\right) - -6.5\\
\frac{\left(\pi \cdot \mathsf{fma}\left(\mathsf{fma}\left(545.0353078428827, z, 436.8961725563396\right), z, 263.3831869810514\right)\right) \cdot \left(e^{\left(\left(1 - z\right) - 0.5\right) \cdot \log t\_0 - t\_0} \cdot \sqrt{\pi + \pi}\right)}{\sin \left(z \cdot \pi\right)}
\end{array}
\end{array}
Initial program 96.4%
Applied rewrites97.6%
Taylor expanded in z around 0
lower-+.f64N/A
lower-*.f64N/A
lower-+.f64N/A
lower-*.f6497.8
Applied rewrites97.8%
Applied rewrites98.5%
(FPCore (z)
:precision binary64
(let* ((t_0 (- (- 1.0 z) -6.5)))
(*
(*
(/ PI (sin (* z PI)))
(* (exp (- (* (- (- 1.0 z) 0.5) (log t_0)) t_0)) (sqrt (+ PI PI))))
(fma (fma 545.0353078428827 z 436.8961725563396) z 263.3831869810514))))
double code(double z) {
double t_0 = (1.0 - z) - -6.5;
return ((((double) M_PI) / sin((z * ((double) M_PI)))) * (exp(((((1.0 - z) - 0.5) * log(t_0)) - t_0)) * sqrt((((double) M_PI) + ((double) M_PI))))) * fma(fma(545.0353078428827, z, 436.8961725563396), z, 263.3831869810514);
}
function code(z) t_0 = Float64(Float64(1.0 - z) - -6.5) return Float64(Float64(Float64(pi / sin(Float64(z * pi))) * Float64(exp(Float64(Float64(Float64(Float64(1.0 - z) - 0.5) * log(t_0)) - t_0)) * sqrt(Float64(pi + pi)))) * fma(fma(545.0353078428827, z, 436.8961725563396), z, 263.3831869810514)) end
code[z_] := Block[{t$95$0 = N[(N[(1.0 - z), $MachinePrecision] - -6.5), $MachinePrecision]}, N[(N[(N[(Pi / N[Sin[N[(z * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Exp[N[(N[(N[(N[(1.0 - z), $MachinePrecision] - 0.5), $MachinePrecision] * N[Log[t$95$0], $MachinePrecision]), $MachinePrecision] - t$95$0), $MachinePrecision]], $MachinePrecision] * N[Sqrt[N[(Pi + Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(545.0353078428827 * z + 436.8961725563396), $MachinePrecision] * z + 263.3831869810514), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(1 - z\right) - -6.5\\
\left(\frac{\pi}{\sin \left(z \cdot \pi\right)} \cdot \left(e^{\left(\left(1 - z\right) - 0.5\right) \cdot \log t\_0 - t\_0} \cdot \sqrt{\pi + \pi}\right)\right) \cdot \mathsf{fma}\left(\mathsf{fma}\left(545.0353078428827, z, 436.8961725563396\right), z, 263.3831869810514\right)
\end{array}
\end{array}
Initial program 96.4%
Taylor expanded in z around 0
lower-+.f64N/A
lower-*.f64N/A
lower-+.f64N/A
lower-*.f6496.6
Applied rewrites96.6%
Applied rewrites98.3%
(FPCore (z)
:precision binary64
(*
(*
PI
(*
(+ 263.3831869810514 (* z (+ 436.8961725563396 (* 545.0353078428827 z))))
(* (sqrt (* 2.0 PI)) (exp (- (+ z (* (log (- 7.5 z)) (- 0.5 z))) 7.5)))))
(/ 1.0 (sin (* z PI)))))
double code(double z) {
return (((double) M_PI) * ((263.3831869810514 + (z * (436.8961725563396 + (545.0353078428827 * z)))) * (sqrt((2.0 * ((double) M_PI))) * exp(((z + (log((7.5 - z)) * (0.5 - z))) - 7.5))))) * (1.0 / sin((z * ((double) M_PI))));
}
public static double code(double z) {
return (Math.PI * ((263.3831869810514 + (z * (436.8961725563396 + (545.0353078428827 * z)))) * (Math.sqrt((2.0 * Math.PI)) * Math.exp(((z + (Math.log((7.5 - z)) * (0.5 - z))) - 7.5))))) * (1.0 / Math.sin((z * Math.PI)));
}
def code(z): return (math.pi * ((263.3831869810514 + (z * (436.8961725563396 + (545.0353078428827 * z)))) * (math.sqrt((2.0 * math.pi)) * math.exp(((z + (math.log((7.5 - z)) * (0.5 - z))) - 7.5))))) * (1.0 / math.sin((z * math.pi)))
function code(z) return Float64(Float64(pi * Float64(Float64(263.3831869810514 + Float64(z * Float64(436.8961725563396 + Float64(545.0353078428827 * z)))) * Float64(sqrt(Float64(2.0 * pi)) * exp(Float64(Float64(z + Float64(log(Float64(7.5 - z)) * Float64(0.5 - z))) - 7.5))))) * Float64(1.0 / sin(Float64(z * pi)))) end
function tmp = code(z) tmp = (pi * ((263.3831869810514 + (z * (436.8961725563396 + (545.0353078428827 * z)))) * (sqrt((2.0 * pi)) * exp(((z + (log((7.5 - z)) * (0.5 - z))) - 7.5))))) * (1.0 / sin((z * pi))); end
code[z_] := N[(N[(Pi * N[(N[(263.3831869810514 + N[(z * N[(436.8961725563396 + N[(545.0353078428827 * z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[N[(2.0 * Pi), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(N[(z + N[(N[Log[N[(7.5 - z), $MachinePrecision]], $MachinePrecision] * N[(0.5 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[Sin[N[(z * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\pi \cdot \left(\left(263.3831869810514 + z \cdot \left(436.8961725563396 + 545.0353078428827 \cdot z\right)\right) \cdot \left(\sqrt{2 \cdot \pi} \cdot e^{\left(z + \log \left(7.5 - z\right) \cdot \left(0.5 - z\right)\right) - 7.5}\right)\right)\right) \cdot \frac{1}{\sin \left(z \cdot \pi\right)}
\end{array}
Initial program 96.4%
Applied rewrites97.6%
Taylor expanded in z around 0
lower-+.f64N/A
lower-*.f64N/A
lower-+.f64N/A
lower-*.f6497.8
Applied rewrites97.8%
Taylor expanded in z around inf
lower-exp.f64N/A
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lower-log.f64N/A
lower--.f64N/A
lower--.f6497.8
Applied rewrites97.8%
(FPCore (z)
:precision binary64
(let* ((t_0 (- (- 1.0 z) -6.5)))
(/
(*
(*
PI
(fma (fma 545.0353078428827 z 436.8961725563396) z 263.3831869810514))
(* (exp (- (* (log t_0) (- (- 1.0 z) 0.5)) t_0)) (sqrt (+ PI PI))))
(* z PI))))
double code(double z) {
double t_0 = (1.0 - z) - -6.5;
return ((((double) M_PI) * fma(fma(545.0353078428827, z, 436.8961725563396), z, 263.3831869810514)) * (exp(((log(t_0) * ((1.0 - z) - 0.5)) - t_0)) * sqrt((((double) M_PI) + ((double) M_PI))))) / (z * ((double) M_PI));
}
function code(z) t_0 = Float64(Float64(1.0 - z) - -6.5) return Float64(Float64(Float64(pi * fma(fma(545.0353078428827, z, 436.8961725563396), z, 263.3831869810514)) * Float64(exp(Float64(Float64(log(t_0) * Float64(Float64(1.0 - z) - 0.5)) - t_0)) * sqrt(Float64(pi + pi)))) / Float64(z * pi)) end
code[z_] := Block[{t$95$0 = N[(N[(1.0 - z), $MachinePrecision] - -6.5), $MachinePrecision]}, N[(N[(N[(Pi * N[(N[(545.0353078428827 * z + 436.8961725563396), $MachinePrecision] * z + 263.3831869810514), $MachinePrecision]), $MachinePrecision] * N[(N[Exp[N[(N[(N[Log[t$95$0], $MachinePrecision] * N[(N[(1.0 - z), $MachinePrecision] - 0.5), $MachinePrecision]), $MachinePrecision] - t$95$0), $MachinePrecision]], $MachinePrecision] * N[Sqrt[N[(Pi + Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(z * Pi), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(1 - z\right) - -6.5\\
\frac{\left(\pi \cdot \mathsf{fma}\left(\mathsf{fma}\left(545.0353078428827, z, 436.8961725563396\right), z, 263.3831869810514\right)\right) \cdot \left(e^{\log t\_0 \cdot \left(\left(1 - z\right) - 0.5\right) - t\_0} \cdot \sqrt{\pi + \pi}\right)}{z \cdot \pi}
\end{array}
\end{array}
Initial program 96.4%
Applied rewrites97.6%
Taylor expanded in z around 0
lower-+.f64N/A
lower-*.f64N/A
lower-+.f64N/A
lower-*.f6497.8
Applied rewrites97.8%
Taylor expanded in z around 0
lower-*.f64N/A
lower-PI.f6496.8
Applied rewrites96.8%
Applied rewrites97.4%
(FPCore (z)
:precision binary64
(*
(*
PI
(*
(+ 263.3831869810514 (* z (+ 436.8961725563396 (* 545.0353078428827 z))))
(* (exp (- (+ z (* (log (- 7.5 z)) (- 0.5 z))) 7.5)) (sqrt (* 2.0 PI)))))
(/ 1.0 (* z PI))))
double code(double z) {
return (((double) M_PI) * ((263.3831869810514 + (z * (436.8961725563396 + (545.0353078428827 * z)))) * (exp(((z + (log((7.5 - z)) * (0.5 - z))) - 7.5)) * sqrt((2.0 * ((double) M_PI)))))) * (1.0 / (z * ((double) M_PI)));
}
public static double code(double z) {
return (Math.PI * ((263.3831869810514 + (z * (436.8961725563396 + (545.0353078428827 * z)))) * (Math.exp(((z + (Math.log((7.5 - z)) * (0.5 - z))) - 7.5)) * Math.sqrt((2.0 * Math.PI))))) * (1.0 / (z * Math.PI));
}
def code(z): return (math.pi * ((263.3831869810514 + (z * (436.8961725563396 + (545.0353078428827 * z)))) * (math.exp(((z + (math.log((7.5 - z)) * (0.5 - z))) - 7.5)) * math.sqrt((2.0 * math.pi))))) * (1.0 / (z * math.pi))
function code(z) return Float64(Float64(pi * Float64(Float64(263.3831869810514 + Float64(z * Float64(436.8961725563396 + Float64(545.0353078428827 * z)))) * Float64(exp(Float64(Float64(z + Float64(log(Float64(7.5 - z)) * Float64(0.5 - z))) - 7.5)) * sqrt(Float64(2.0 * pi))))) * Float64(1.0 / Float64(z * pi))) end
function tmp = code(z) tmp = (pi * ((263.3831869810514 + (z * (436.8961725563396 + (545.0353078428827 * z)))) * (exp(((z + (log((7.5 - z)) * (0.5 - z))) - 7.5)) * sqrt((2.0 * pi))))) * (1.0 / (z * pi)); end
code[z_] := N[(N[(Pi * N[(N[(263.3831869810514 + N[(z * N[(436.8961725563396 + N[(545.0353078428827 * z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Exp[N[(N[(z + N[(N[Log[N[(7.5 - z), $MachinePrecision]], $MachinePrecision] * N[(0.5 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 7.5), $MachinePrecision]], $MachinePrecision] * N[Sqrt[N[(2.0 * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[(z * Pi), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\pi \cdot \left(\left(263.3831869810514 + z \cdot \left(436.8961725563396 + 545.0353078428827 \cdot z\right)\right) \cdot \left(e^{\left(z + \log \left(7.5 - z\right) \cdot \left(0.5 - z\right)\right) - 7.5} \cdot \sqrt{2 \cdot \pi}\right)\right)\right) \cdot \frac{1}{z \cdot \pi}
\end{array}
Initial program 96.4%
Applied rewrites97.6%
Taylor expanded in z around 0
lower-+.f64N/A
lower-*.f64N/A
lower-+.f64N/A
lower-*.f6497.8
Applied rewrites97.8%
Taylor expanded in z around 0
lower-*.f64N/A
lower-PI.f6496.8
Applied rewrites96.8%
Taylor expanded in z around inf
lower-*.f64N/A
lower-exp.f64N/A
lower--.f64N/A
lower-+.f64N/A
lower-*.f64N/A
lower-log.f64N/A
lower--.f64N/A
lower--.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower-PI.f6496.8
Applied rewrites96.8%
(FPCore (z) :precision binary64 (* 263.3831869810514 (/ (* (exp (- (* 0.5 (log 7.5)) 7.5)) (sqrt (* 2.0 PI))) z)))
double code(double z) {
return 263.3831869810514 * ((exp(((0.5 * log(7.5)) - 7.5)) * sqrt((2.0 * ((double) M_PI)))) / z);
}
public static double code(double z) {
return 263.3831869810514 * ((Math.exp(((0.5 * Math.log(7.5)) - 7.5)) * Math.sqrt((2.0 * Math.PI))) / z);
}
def code(z): return 263.3831869810514 * ((math.exp(((0.5 * math.log(7.5)) - 7.5)) * math.sqrt((2.0 * math.pi))) / z)
function code(z) return Float64(263.3831869810514 * Float64(Float64(exp(Float64(Float64(0.5 * log(7.5)) - 7.5)) * sqrt(Float64(2.0 * pi))) / z)) end
function tmp = code(z) tmp = 263.3831869810514 * ((exp(((0.5 * log(7.5)) - 7.5)) * sqrt((2.0 * pi))) / z); end
code[z_] := N[(263.3831869810514 * N[(N[(N[Exp[N[(N[(0.5 * N[Log[7.5], $MachinePrecision]), $MachinePrecision] - 7.5), $MachinePrecision]], $MachinePrecision] * N[Sqrt[N[(2.0 * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / z), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
263.3831869810514 \cdot \frac{e^{0.5 \cdot \log 7.5 - 7.5} \cdot \sqrt{2 \cdot \pi}}{z}
\end{array}
Initial program 96.4%
Applied rewrites97.6%
Taylor expanded in z around 0
lower-*.f64N/A
lower-/.f64N/A
Applied rewrites96.3%
(FPCore (z) :precision binary64 (* (/ 1.0 (/ z (* (sqrt (* 15.0 PI)) (exp -7.5)))) 263.3831869810514))
double code(double z) {
return (1.0 / (z / (sqrt((15.0 * ((double) M_PI))) * exp(-7.5)))) * 263.3831869810514;
}
public static double code(double z) {
return (1.0 / (z / (Math.sqrt((15.0 * Math.PI)) * Math.exp(-7.5)))) * 263.3831869810514;
}
def code(z): return (1.0 / (z / (math.sqrt((15.0 * math.pi)) * math.exp(-7.5)))) * 263.3831869810514
function code(z) return Float64(Float64(1.0 / Float64(z / Float64(sqrt(Float64(15.0 * pi)) * exp(-7.5)))) * 263.3831869810514) end
function tmp = code(z) tmp = (1.0 / (z / (sqrt((15.0 * pi)) * exp(-7.5)))) * 263.3831869810514; end
code[z_] := N[(N[(1.0 / N[(z / N[(N[Sqrt[N[(15.0 * Pi), $MachinePrecision]], $MachinePrecision] * N[Exp[-7.5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 263.3831869810514), $MachinePrecision]
\begin{array}{l}
\\
\frac{1}{\frac{z}{\sqrt{15 \cdot \pi} \cdot e^{-7.5}}} \cdot 263.3831869810514
\end{array}
Initial program 96.4%
Taylor expanded in z around 0
lower-*.f64N/A
lower-/.f64N/A
Applied rewrites95.5%
lift-*.f64N/A
*-commutativeN/A
lower-*.f6495.5
Applied rewrites95.5%
Taylor expanded in z around 0
lower-/.f64N/A
lower-*.f64N/A
lower-exp.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower-PI.f6495.5
Applied rewrites95.5%
lift-/.f64N/A
div-flipN/A
lower-/.f64N/A
lower-/.f6495.6
lift-*.f64N/A
*-commutativeN/A
lower-*.f6495.6
Applied rewrites95.6%
(FPCore (z) :precision binary64 (* (/ (* (exp -7.5) (sqrt (* 15.0 PI))) z) 263.3831869810514))
double code(double z) {
return ((exp(-7.5) * sqrt((15.0 * ((double) M_PI)))) / z) * 263.3831869810514;
}
public static double code(double z) {
return ((Math.exp(-7.5) * Math.sqrt((15.0 * Math.PI))) / z) * 263.3831869810514;
}
def code(z): return ((math.exp(-7.5) * math.sqrt((15.0 * math.pi))) / z) * 263.3831869810514
function code(z) return Float64(Float64(Float64(exp(-7.5) * sqrt(Float64(15.0 * pi))) / z) * 263.3831869810514) end
function tmp = code(z) tmp = ((exp(-7.5) * sqrt((15.0 * pi))) / z) * 263.3831869810514; end
code[z_] := N[(N[(N[(N[Exp[-7.5], $MachinePrecision] * N[Sqrt[N[(15.0 * Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / z), $MachinePrecision] * 263.3831869810514), $MachinePrecision]
\begin{array}{l}
\\
\frac{e^{-7.5} \cdot \sqrt{15 \cdot \pi}}{z} \cdot 263.3831869810514
\end{array}
Initial program 96.4%
Taylor expanded in z around 0
lower-*.f64N/A
lower-/.f64N/A
Applied rewrites95.5%
lift-*.f64N/A
*-commutativeN/A
lower-*.f6495.5
Applied rewrites95.5%
Taylor expanded in z around 0
lower-/.f64N/A
lower-*.f64N/A
lower-exp.f64N/A
lower-sqrt.f64N/A
lower-*.f64N/A
lower-PI.f6495.5
Applied rewrites95.5%
herbie shell --seed 2025149
(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))))))