
(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 7 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
(*
(/ (fma (* 0.16666666666666666 (* z z)) (* PI PI) 1.0) z)
(*
(* (* (exp (- (fma (- 0.5 z) (log (- 7.5 z)) z) 7.5)) (sqrt 2.0)) (sqrt PI))
(+
(fma
(fma (fma 606.676680916724 z 545.0353078425886) z 436.896172553987)
z
263.383186962231)
(/ 1.5056327351493116e-7 (+ (- (- 1.0 z) 1.0) 8.0))))))
double code(double z) {
return (fma((0.16666666666666666 * (z * z)), (((double) M_PI) * ((double) M_PI)), 1.0) / z) * (((exp((fma((0.5 - z), log((7.5 - z)), z) - 7.5)) * sqrt(2.0)) * sqrt(((double) M_PI))) * (fma(fma(fma(606.676680916724, z, 545.0353078425886), z, 436.896172553987), z, 263.383186962231) + (1.5056327351493116e-7 / (((1.0 - z) - 1.0) + 8.0))));
}
function code(z) return Float64(Float64(fma(Float64(0.16666666666666666 * Float64(z * z)), Float64(pi * pi), 1.0) / z) * Float64(Float64(Float64(exp(Float64(fma(Float64(0.5 - z), log(Float64(7.5 - z)), z) - 7.5)) * sqrt(2.0)) * sqrt(pi)) * Float64(fma(fma(fma(606.676680916724, z, 545.0353078425886), z, 436.896172553987), z, 263.383186962231) + Float64(1.5056327351493116e-7 / Float64(Float64(Float64(1.0 - z) - 1.0) + 8.0))))) end
code[z_] := N[(N[(N[(N[(0.16666666666666666 * N[(z * z), $MachinePrecision]), $MachinePrecision] * N[(Pi * Pi), $MachinePrecision] + 1.0), $MachinePrecision] / z), $MachinePrecision] * N[(N[(N[(N[Exp[N[(N[(N[(0.5 - z), $MachinePrecision] * N[Log[N[(7.5 - z), $MachinePrecision]], $MachinePrecision] + z), $MachinePrecision] - 7.5), $MachinePrecision]], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(606.676680916724 * z + 545.0353078425886), $MachinePrecision] * z + 436.896172553987), $MachinePrecision] * z + 263.383186962231), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(N[(N[(1.0 - z), $MachinePrecision] - 1.0), $MachinePrecision] + 8.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(0.16666666666666666 \cdot \left(z \cdot z\right), \pi \cdot \pi, 1\right)}{z} \cdot \left(\left(\left(e^{\mathsf{fma}\left(0.5 - z, \log \left(7.5 - z\right), z\right) - 7.5} \cdot \sqrt{2}\right) \cdot \sqrt{\pi}\right) \cdot \left(\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(606.676680916724, z, 545.0353078425886\right), z, 436.896172553987\right), z, 263.383186962231\right) + \frac{1.5056327351493116 \cdot 10^{-7}}{\left(\left(1 - z\right) - 1\right) + 8}\right)\right)
\end{array}
Initial program 96.6%
Taylor expanded in z around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
+-commutativeN/A
lower-fma.f6496.9
Applied rewrites96.9%
Taylor expanded in z around 0
lower-/.f64N/A
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lift-PI.f64N/A
lift-PI.f6496.9
Applied rewrites96.9%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
Applied rewrites98.3%
lift--.f64N/A
lift--.f64N/A
lift-fma.f64N/A
lift--.f64N/A
lift-log.f64N/A
associate-+r-N/A
+-commutativeN/A
lower--.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lift--.f64N/A
lift-log.f64N/A
lift--.f6498.3
Applied rewrites98.3%
(FPCore (z)
:precision binary64
(*
(/ (fma (* 0.16666666666666666 (* z z)) (* PI PI) 1.0) z)
(*
(* (* (exp (fma (log (- 7.5 z)) (- 0.5 z) (- z 7.5))) (sqrt 2.0)) (sqrt PI))
(fma
(fma (fma 606.6766809167608 z 545.0353078428827) z 436.8961725563396)
z
263.3831869810514))))
double code(double z) {
return (fma((0.16666666666666666 * (z * z)), (((double) M_PI) * ((double) M_PI)), 1.0) / z) * (((exp(fma(log((7.5 - z)), (0.5 - z), (z - 7.5))) * sqrt(2.0)) * sqrt(((double) M_PI))) * fma(fma(fma(606.6766809167608, z, 545.0353078428827), z, 436.8961725563396), z, 263.3831869810514));
}
function code(z) return Float64(Float64(fma(Float64(0.16666666666666666 * Float64(z * z)), Float64(pi * pi), 1.0) / z) * Float64(Float64(Float64(exp(fma(log(Float64(7.5 - z)), Float64(0.5 - z), Float64(z - 7.5))) * sqrt(2.0)) * sqrt(pi)) * fma(fma(fma(606.6766809167608, z, 545.0353078428827), z, 436.8961725563396), z, 263.3831869810514))) end
code[z_] := N[(N[(N[(N[(0.16666666666666666 * N[(z * z), $MachinePrecision]), $MachinePrecision] * N[(Pi * Pi), $MachinePrecision] + 1.0), $MachinePrecision] / z), $MachinePrecision] * N[(N[(N[(N[Exp[N[(N[Log[N[(7.5 - z), $MachinePrecision]], $MachinePrecision] * N[(0.5 - z), $MachinePrecision] + N[(z - 7.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(606.6766809167608 * z + 545.0353078428827), $MachinePrecision] * z + 436.8961725563396), $MachinePrecision] * z + 263.3831869810514), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(0.16666666666666666 \cdot \left(z \cdot z\right), \pi \cdot \pi, 1\right)}{z} \cdot \left(\left(\left(e^{\mathsf{fma}\left(\log \left(7.5 - z\right), 0.5 - z, z - 7.5\right)} \cdot \sqrt{2}\right) \cdot \sqrt{\pi}\right) \cdot \mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(606.6766809167608, z, 545.0353078428827\right), z, 436.8961725563396\right), z, 263.3831869810514\right)\right)
\end{array}
Initial program 96.6%
Taylor expanded in z around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
+-commutativeN/A
lower-fma.f6496.9
Applied rewrites96.9%
Taylor expanded in z around 0
lower-/.f64N/A
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lift-PI.f64N/A
lift-PI.f6496.9
Applied rewrites96.9%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
Applied rewrites98.3%
Taylor expanded in z around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
+-commutativeN/A
lower-fma.f6498.3
Applied rewrites98.3%
(FPCore (z) :precision binary64 (* (/ (fma (* 0.16666666666666666 (* z z)) (* PI PI) 1.0) z) (* (* (* (exp (fma (log (- 7.5 z)) (- 0.5 z) (- z 7.5))) (sqrt 2.0)) (sqrt PI)) (fma (fma 545.0353078428827 z 436.8961725563396) z 263.3831869810514))))
double code(double z) {
return (fma((0.16666666666666666 * (z * z)), (((double) M_PI) * ((double) M_PI)), 1.0) / z) * (((exp(fma(log((7.5 - z)), (0.5 - z), (z - 7.5))) * sqrt(2.0)) * sqrt(((double) M_PI))) * fma(fma(545.0353078428827, z, 436.8961725563396), z, 263.3831869810514));
}
function code(z) return Float64(Float64(fma(Float64(0.16666666666666666 * Float64(z * z)), Float64(pi * pi), 1.0) / z) * Float64(Float64(Float64(exp(fma(log(Float64(7.5 - z)), Float64(0.5 - z), Float64(z - 7.5))) * sqrt(2.0)) * sqrt(pi)) * fma(fma(545.0353078428827, z, 436.8961725563396), z, 263.3831869810514))) end
code[z_] := N[(N[(N[(N[(0.16666666666666666 * N[(z * z), $MachinePrecision]), $MachinePrecision] * N[(Pi * Pi), $MachinePrecision] + 1.0), $MachinePrecision] / z), $MachinePrecision] * N[(N[(N[(N[Exp[N[(N[Log[N[(7.5 - z), $MachinePrecision]], $MachinePrecision] * N[(0.5 - z), $MachinePrecision] + N[(z - 7.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[(545.0353078428827 * z + 436.8961725563396), $MachinePrecision] * z + 263.3831869810514), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(0.16666666666666666 \cdot \left(z \cdot z\right), \pi \cdot \pi, 1\right)}{z} \cdot \left(\left(\left(e^{\mathsf{fma}\left(\log \left(7.5 - z\right), 0.5 - z, z - 7.5\right)} \cdot \sqrt{2}\right) \cdot \sqrt{\pi}\right) \cdot \mathsf{fma}\left(\mathsf{fma}\left(545.0353078428827, z, 436.8961725563396\right), z, 263.3831869810514\right)\right)
\end{array}
Initial program 96.6%
Taylor expanded in z around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
+-commutativeN/A
lower-fma.f6496.9
Applied rewrites96.9%
Taylor expanded in z around 0
lower-/.f64N/A
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lift-PI.f64N/A
lift-PI.f6496.9
Applied rewrites96.9%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
Applied rewrites98.3%
Taylor expanded in z around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
+-commutativeN/A
lower-fma.f6498.1
Applied rewrites98.1%
(FPCore (z) :precision binary64 (* (/ (fma (* 0.16666666666666666 (* z z)) (* PI PI) 1.0) z) (* (* (* (exp (fma (log (- 7.5 z)) (- 0.5 z) (- z 7.5))) (sqrt 2.0)) (sqrt PI)) (fma 436.8961725563396 z 263.3831869810514))))
double code(double z) {
return (fma((0.16666666666666666 * (z * z)), (((double) M_PI) * ((double) M_PI)), 1.0) / z) * (((exp(fma(log((7.5 - z)), (0.5 - z), (z - 7.5))) * sqrt(2.0)) * sqrt(((double) M_PI))) * fma(436.8961725563396, z, 263.3831869810514));
}
function code(z) return Float64(Float64(fma(Float64(0.16666666666666666 * Float64(z * z)), Float64(pi * pi), 1.0) / z) * Float64(Float64(Float64(exp(fma(log(Float64(7.5 - z)), Float64(0.5 - z), Float64(z - 7.5))) * sqrt(2.0)) * sqrt(pi)) * fma(436.8961725563396, z, 263.3831869810514))) end
code[z_] := N[(N[(N[(N[(0.16666666666666666 * N[(z * z), $MachinePrecision]), $MachinePrecision] * N[(Pi * Pi), $MachinePrecision] + 1.0), $MachinePrecision] / z), $MachinePrecision] * N[(N[(N[(N[Exp[N[(N[Log[N[(7.5 - z), $MachinePrecision]], $MachinePrecision] * N[(0.5 - z), $MachinePrecision] + N[(z - 7.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(436.8961725563396 * z + 263.3831869810514), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(0.16666666666666666 \cdot \left(z \cdot z\right), \pi \cdot \pi, 1\right)}{z} \cdot \left(\left(\left(e^{\mathsf{fma}\left(\log \left(7.5 - z\right), 0.5 - z, z - 7.5\right)} \cdot \sqrt{2}\right) \cdot \sqrt{\pi}\right) \cdot \mathsf{fma}\left(436.8961725563396, z, 263.3831869810514\right)\right)
\end{array}
Initial program 96.6%
Taylor expanded in z around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
+-commutativeN/A
lower-fma.f6496.9
Applied rewrites96.9%
Taylor expanded in z around 0
lower-/.f64N/A
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lift-PI.f64N/A
lift-PI.f6496.9
Applied rewrites96.9%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
Applied rewrites98.3%
Taylor expanded in z around 0
+-commutativeN/A
lower-fma.f6497.8
Applied rewrites97.8%
(FPCore (z) :precision binary64 (* (/ (fma (* 0.16666666666666666 (* z z)) (* PI PI) 1.0) z) (* (* (* (exp (fma (log (- 7.5 z)) (- 0.5 z) (- z 7.5))) (sqrt 2.0)) (sqrt PI)) 263.3831869810514)))
double code(double z) {
return (fma((0.16666666666666666 * (z * z)), (((double) M_PI) * ((double) M_PI)), 1.0) / z) * (((exp(fma(log((7.5 - z)), (0.5 - z), (z - 7.5))) * sqrt(2.0)) * sqrt(((double) M_PI))) * 263.3831869810514);
}
function code(z) return Float64(Float64(fma(Float64(0.16666666666666666 * Float64(z * z)), Float64(pi * pi), 1.0) / z) * Float64(Float64(Float64(exp(fma(log(Float64(7.5 - z)), Float64(0.5 - z), Float64(z - 7.5))) * sqrt(2.0)) * sqrt(pi)) * 263.3831869810514)) end
code[z_] := N[(N[(N[(N[(0.16666666666666666 * N[(z * z), $MachinePrecision]), $MachinePrecision] * N[(Pi * Pi), $MachinePrecision] + 1.0), $MachinePrecision] / z), $MachinePrecision] * N[(N[(N[(N[Exp[N[(N[Log[N[(7.5 - z), $MachinePrecision]], $MachinePrecision] * N[(0.5 - z), $MachinePrecision] + N[(z - 7.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * 263.3831869810514), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(0.16666666666666666 \cdot \left(z \cdot z\right), \pi \cdot \pi, 1\right)}{z} \cdot \left(\left(\left(e^{\mathsf{fma}\left(\log \left(7.5 - z\right), 0.5 - z, z - 7.5\right)} \cdot \sqrt{2}\right) \cdot \sqrt{\pi}\right) \cdot 263.3831869810514\right)
\end{array}
Initial program 96.6%
Taylor expanded in z around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
+-commutativeN/A
lower-fma.f6496.9
Applied rewrites96.9%
Taylor expanded in z around 0
lower-/.f64N/A
+-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lift-PI.f64N/A
lift-PI.f6496.9
Applied rewrites96.9%
Taylor expanded in z around inf
*-commutativeN/A
lower-*.f64N/A
Applied rewrites98.3%
Taylor expanded in z around 0
Applied rewrites96.8%
(FPCore (z) :precision binary64 (* (* (* (sqrt PI) (exp -7.5)) (sqrt 15.0)) (/ 263.3831869810514 z)))
double code(double z) {
return ((sqrt(((double) M_PI)) * exp(-7.5)) * sqrt(15.0)) * (263.3831869810514 / z);
}
public static double code(double z) {
return ((Math.sqrt(Math.PI) * Math.exp(-7.5)) * Math.sqrt(15.0)) * (263.3831869810514 / z);
}
def code(z): return ((math.sqrt(math.pi) * math.exp(-7.5)) * math.sqrt(15.0)) * (263.3831869810514 / z)
function code(z) return Float64(Float64(Float64(sqrt(pi) * exp(-7.5)) * sqrt(15.0)) * Float64(263.3831869810514 / z)) end
function tmp = code(z) tmp = ((sqrt(pi) * exp(-7.5)) * sqrt(15.0)) * (263.3831869810514 / z); end
code[z_] := N[(N[(N[(N[Sqrt[Pi], $MachinePrecision] * N[Exp[-7.5], $MachinePrecision]), $MachinePrecision] * N[Sqrt[15.0], $MachinePrecision]), $MachinePrecision] * N[(263.3831869810514 / z), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\sqrt{\pi} \cdot e^{-7.5}\right) \cdot \sqrt{15}\right) \cdot \frac{263.3831869810514}{z}
\end{array}
Initial program 96.6%
Taylor expanded in z around 0
associate-*l/N/A
*-commutativeN/A
Applied rewrites95.4%
lift-*.f64N/A
lift-PI.f64N/A
lift-sqrt.f64N/A
lift-*.f64N/A
lift-exp.f64N/A
*-commutativeN/A
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
lift-sqrt.f64N/A
lift-PI.f64N/A
lift-exp.f6496.1
Applied rewrites96.1%
(FPCore (z) :precision binary64 (* (/ (* (sqrt (* PI 15.0)) (exp -7.5)) z) 263.3831869810514))
double code(double z) {
return ((sqrt((((double) M_PI) * 15.0)) * exp(-7.5)) / z) * 263.3831869810514;
}
public static double code(double z) {
return ((Math.sqrt((Math.PI * 15.0)) * Math.exp(-7.5)) / z) * 263.3831869810514;
}
def code(z): return ((math.sqrt((math.pi * 15.0)) * math.exp(-7.5)) / z) * 263.3831869810514
function code(z) return Float64(Float64(Float64(sqrt(Float64(pi * 15.0)) * exp(-7.5)) / z) * 263.3831869810514) end
function tmp = code(z) tmp = ((sqrt((pi * 15.0)) * exp(-7.5)) / z) * 263.3831869810514; end
code[z_] := N[(N[(N[(N[Sqrt[N[(Pi * 15.0), $MachinePrecision]], $MachinePrecision] * N[Exp[-7.5], $MachinePrecision]), $MachinePrecision] / z), $MachinePrecision] * 263.3831869810514), $MachinePrecision]
\begin{array}{l}
\\
\frac{\sqrt{\pi \cdot 15} \cdot e^{-7.5}}{z} \cdot 263.3831869810514
\end{array}
Initial program 96.6%
Taylor expanded in z around 0
associate-*l/N/A
*-commutativeN/A
Applied rewrites95.4%
Applied rewrites95.9%
herbie shell --seed 2025130
(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))))))