
(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 15 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 (+ -1.0 (- 1.0 z)))
(t_1 (+ t_0 7.0))
(t_2 (sin (* PI z)))
(t_3 (/ PI t_2))
(t_4 (sqrt (* PI 2.0))))
(if (<=
(*
t_3
(*
(*
(* t_4 (pow (+ 0.5 t_1) (+ 0.5 t_0)))
(exp (- (- (- (+ z -1.0) -1.0) 7.0) 0.5)))
(+
(+
(+
(+
(+
(+
(+
(+ 0.9999999999998099 (/ 676.5203681218851 (+ 1.0 t_0)))
(/ -1259.1392167224028 (+ 2.0 t_0)))
(/ 771.3234287776531 (+ 3.0 t_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)))))
1e+293)
(*
(+
(/ -176.6150291621406 (- 4.0 z))
(+
(/ 12.507343278686905 (- 5.0 z))
(+
(+
(+
(/ 676.5203681218851 (- 1.0 z))
(+ 0.9999999999998099 (/ -1259.1392167224028 (- 2.0 z))))
(/ 771.3234287776531 (- 3.0 z)))
(+
(/ -0.13857109526572012 (- 6.0 z))
(+
(/ 9.984369578019572e-6 (- 7.0 z))
(/ 1.5056327351493116e-7 (- 8.0 z)))))))
(* (/ (exp (+ z -7.5)) t_2) (* t_4 (* PI (pow (- 7.5 z) (- 0.5 z))))))
(*
(*
(pow (+ (- 1.0 z) 6.5) (- 1.0 (+ z 0.5)))
(* (* (sqrt 2.0) (exp -7.5)) (sqrt PI)))
(*
t_3
(+
260.9048120626994
(+
(+
(/ 12.507343278686905 (+ (- 1.0 z) 4.0))
(/ -0.13857109526572012 (- 1.0 (+ z -5.0))))
(+
(/ 9.984369578019572e-6 (+ 8.0 (- -1.0 z)))
(/ 1.5056327351493116e-7 (+ 9.0 (- -1.0 z)))))))))))
double code(double z) {
double t_0 = -1.0 + (1.0 - z);
double t_1 = t_0 + 7.0;
double t_2 = sin((((double) M_PI) * z));
double t_3 = ((double) M_PI) / t_2;
double t_4 = sqrt((((double) M_PI) * 2.0));
double tmp;
if ((t_3 * (((t_4 * pow((0.5 + t_1), (0.5 + t_0))) * exp(((((z + -1.0) - -1.0) - 7.0) - 0.5))) * ((((((((0.9999999999998099 + (676.5203681218851 / (1.0 + t_0))) + (-1259.1392167224028 / (2.0 + t_0))) + (771.3234287776531 / (3.0 + t_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))))) <= 1e+293) {
tmp = ((-176.6150291621406 / (4.0 - z)) + ((12.507343278686905 / (5.0 - z)) + ((((676.5203681218851 / (1.0 - z)) + (0.9999999999998099 + (-1259.1392167224028 / (2.0 - z)))) + (771.3234287776531 / (3.0 - z))) + ((-0.13857109526572012 / (6.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))))))) * ((exp((z + -7.5)) / t_2) * (t_4 * (((double) M_PI) * pow((7.5 - z), (0.5 - z)))));
} else {
tmp = (pow(((1.0 - z) + 6.5), (1.0 - (z + 0.5))) * ((sqrt(2.0) * exp(-7.5)) * sqrt(((double) M_PI)))) * (t_3 * (260.9048120626994 + (((12.507343278686905 / ((1.0 - z) + 4.0)) + (-0.13857109526572012 / (1.0 - (z + -5.0)))) + ((9.984369578019572e-6 / (8.0 + (-1.0 - z))) + (1.5056327351493116e-7 / (9.0 + (-1.0 - z)))))));
}
return tmp;
}
public static double code(double z) {
double t_0 = -1.0 + (1.0 - z);
double t_1 = t_0 + 7.0;
double t_2 = Math.sin((Math.PI * z));
double t_3 = Math.PI / t_2;
double t_4 = Math.sqrt((Math.PI * 2.0));
double tmp;
if ((t_3 * (((t_4 * Math.pow((0.5 + t_1), (0.5 + t_0))) * Math.exp(((((z + -1.0) - -1.0) - 7.0) - 0.5))) * ((((((((0.9999999999998099 + (676.5203681218851 / (1.0 + t_0))) + (-1259.1392167224028 / (2.0 + t_0))) + (771.3234287776531 / (3.0 + t_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))))) <= 1e+293) {
tmp = ((-176.6150291621406 / (4.0 - z)) + ((12.507343278686905 / (5.0 - z)) + ((((676.5203681218851 / (1.0 - z)) + (0.9999999999998099 + (-1259.1392167224028 / (2.0 - z)))) + (771.3234287776531 / (3.0 - z))) + ((-0.13857109526572012 / (6.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))))))) * ((Math.exp((z + -7.5)) / t_2) * (t_4 * (Math.PI * Math.pow((7.5 - z), (0.5 - z)))));
} else {
tmp = (Math.pow(((1.0 - z) + 6.5), (1.0 - (z + 0.5))) * ((Math.sqrt(2.0) * Math.exp(-7.5)) * Math.sqrt(Math.PI))) * (t_3 * (260.9048120626994 + (((12.507343278686905 / ((1.0 - z) + 4.0)) + (-0.13857109526572012 / (1.0 - (z + -5.0)))) + ((9.984369578019572e-6 / (8.0 + (-1.0 - z))) + (1.5056327351493116e-7 / (9.0 + (-1.0 - z)))))));
}
return tmp;
}
def code(z): t_0 = -1.0 + (1.0 - z) t_1 = t_0 + 7.0 t_2 = math.sin((math.pi * z)) t_3 = math.pi / t_2 t_4 = math.sqrt((math.pi * 2.0)) tmp = 0 if (t_3 * (((t_4 * math.pow((0.5 + t_1), (0.5 + t_0))) * math.exp(((((z + -1.0) - -1.0) - 7.0) - 0.5))) * ((((((((0.9999999999998099 + (676.5203681218851 / (1.0 + t_0))) + (-1259.1392167224028 / (2.0 + t_0))) + (771.3234287776531 / (3.0 + t_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))))) <= 1e+293: tmp = ((-176.6150291621406 / (4.0 - z)) + ((12.507343278686905 / (5.0 - z)) + ((((676.5203681218851 / (1.0 - z)) + (0.9999999999998099 + (-1259.1392167224028 / (2.0 - z)))) + (771.3234287776531 / (3.0 - z))) + ((-0.13857109526572012 / (6.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))))))) * ((math.exp((z + -7.5)) / t_2) * (t_4 * (math.pi * math.pow((7.5 - z), (0.5 - z))))) else: tmp = (math.pow(((1.0 - z) + 6.5), (1.0 - (z + 0.5))) * ((math.sqrt(2.0) * math.exp(-7.5)) * math.sqrt(math.pi))) * (t_3 * (260.9048120626994 + (((12.507343278686905 / ((1.0 - z) + 4.0)) + (-0.13857109526572012 / (1.0 - (z + -5.0)))) + ((9.984369578019572e-6 / (8.0 + (-1.0 - z))) + (1.5056327351493116e-7 / (9.0 + (-1.0 - z))))))) return tmp
function code(z) t_0 = Float64(-1.0 + Float64(1.0 - z)) t_1 = Float64(t_0 + 7.0) t_2 = sin(Float64(pi * z)) t_3 = Float64(pi / t_2) t_4 = sqrt(Float64(pi * 2.0)) tmp = 0.0 if (Float64(t_3 * Float64(Float64(Float64(t_4 * (Float64(0.5 + t_1) ^ Float64(0.5 + t_0))) * exp(Float64(Float64(Float64(Float64(z + -1.0) - -1.0) - 7.0) - 0.5))) * Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(0.9999999999998099 + Float64(676.5203681218851 / Float64(1.0 + t_0))) + Float64(-1259.1392167224028 / Float64(2.0 + t_0))) + Float64(771.3234287776531 / Float64(3.0 + t_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))))) <= 1e+293) tmp = Float64(Float64(Float64(-176.6150291621406 / Float64(4.0 - z)) + Float64(Float64(12.507343278686905 / Float64(5.0 - z)) + Float64(Float64(Float64(Float64(676.5203681218851 / Float64(1.0 - z)) + Float64(0.9999999999998099 + Float64(-1259.1392167224028 / Float64(2.0 - z)))) + Float64(771.3234287776531 / Float64(3.0 - z))) + Float64(Float64(-0.13857109526572012 / Float64(6.0 - z)) + Float64(Float64(9.984369578019572e-6 / Float64(7.0 - z)) + Float64(1.5056327351493116e-7 / Float64(8.0 - z))))))) * Float64(Float64(exp(Float64(z + -7.5)) / t_2) * Float64(t_4 * Float64(pi * (Float64(7.5 - z) ^ Float64(0.5 - z)))))); else tmp = Float64(Float64((Float64(Float64(1.0 - z) + 6.5) ^ Float64(1.0 - Float64(z + 0.5))) * Float64(Float64(sqrt(2.0) * exp(-7.5)) * sqrt(pi))) * Float64(t_3 * Float64(260.9048120626994 + Float64(Float64(Float64(12.507343278686905 / Float64(Float64(1.0 - z) + 4.0)) + Float64(-0.13857109526572012 / Float64(1.0 - Float64(z + -5.0)))) + Float64(Float64(9.984369578019572e-6 / Float64(8.0 + Float64(-1.0 - z))) + Float64(1.5056327351493116e-7 / Float64(9.0 + Float64(-1.0 - z)))))))); end return tmp end
function tmp_2 = code(z) t_0 = -1.0 + (1.0 - z); t_1 = t_0 + 7.0; t_2 = sin((pi * z)); t_3 = pi / t_2; t_4 = sqrt((pi * 2.0)); tmp = 0.0; if ((t_3 * (((t_4 * ((0.5 + t_1) ^ (0.5 + t_0))) * exp(((((z + -1.0) - -1.0) - 7.0) - 0.5))) * ((((((((0.9999999999998099 + (676.5203681218851 / (1.0 + t_0))) + (-1259.1392167224028 / (2.0 + t_0))) + (771.3234287776531 / (3.0 + t_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))))) <= 1e+293) tmp = ((-176.6150291621406 / (4.0 - z)) + ((12.507343278686905 / (5.0 - z)) + ((((676.5203681218851 / (1.0 - z)) + (0.9999999999998099 + (-1259.1392167224028 / (2.0 - z)))) + (771.3234287776531 / (3.0 - z))) + ((-0.13857109526572012 / (6.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))))))) * ((exp((z + -7.5)) / t_2) * (t_4 * (pi * ((7.5 - z) ^ (0.5 - z))))); else tmp = ((((1.0 - z) + 6.5) ^ (1.0 - (z + 0.5))) * ((sqrt(2.0) * exp(-7.5)) * sqrt(pi))) * (t_3 * (260.9048120626994 + (((12.507343278686905 / ((1.0 - z) + 4.0)) + (-0.13857109526572012 / (1.0 - (z + -5.0)))) + ((9.984369578019572e-6 / (8.0 + (-1.0 - z))) + (1.5056327351493116e-7 / (9.0 + (-1.0 - z))))))); end tmp_2 = tmp; end
code[z_] := Block[{t$95$0 = N[(-1.0 + N[(1.0 - z), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(t$95$0 + 7.0), $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(Pi / t$95$2), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(t$95$3 * N[(N[(N[(t$95$4 * N[Power[N[(0.5 + t$95$1), $MachinePrecision], N[(0.5 + t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Exp[N[(N[(N[(N[(z + -1.0), $MachinePrecision] - -1.0), $MachinePrecision] - 7.0), $MachinePrecision] - 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(N[(N[(N[(N[(0.9999999999998099 + N[(676.5203681218851 / N[(1.0 + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-1259.1392167224028 / N[(2.0 + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(771.3234287776531 / N[(3.0 + t$95$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], 1e+293], N[(N[(N[(-176.6150291621406 / N[(4.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(12.507343278686905 / N[(5.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + N[(0.9999999999998099 + N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(771.3234287776531 / N[(3.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(-0.13857109526572012 / N[(6.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(9.984369578019572e-6 / N[(7.0 - z), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(8.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision] / t$95$2), $MachinePrecision] * N[(t$95$4 * N[(Pi * N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Power[N[(N[(1.0 - z), $MachinePrecision] + 6.5), $MachinePrecision], N[(1.0 - N[(z + 0.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[Exp[-7.5], $MachinePrecision]), $MachinePrecision] * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(t$95$3 * N[(260.9048120626994 + N[(N[(N[(12.507343278686905 / N[(N[(1.0 - z), $MachinePrecision] + 4.0), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(1.0 - N[(z + -5.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(9.984369578019572e-6 / N[(8.0 + N[(-1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(9.0 + N[(-1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := -1 + \left(1 - z\right)\\
t_1 := t_0 + 7\\
t_2 := \sin \left(\pi \cdot z\right)\\
t_3 := \frac{\pi}{t_2}\\
t_4 := \sqrt{\pi \cdot 2}\\
\mathbf{if}\;t_3 \cdot \left(\left(\left(t_4 \cdot {\left(0.5 + t_1\right)}^{\left(0.5 + t_0\right)}\right) \cdot e^{\left(\left(\left(z + -1\right) - -1\right) - 7\right) - 0.5}\right) \cdot \left(\left(\left(\left(\left(\left(\left(\left(0.9999999999998099 + \frac{676.5203681218851}{1 + t_0}\right) + \frac{-1259.1392167224028}{2 + t_0}\right) + \frac{771.3234287776531}{3 + t_0}\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) \leq 10^{+293}:\\
\;\;\;\;\left(\frac{-176.6150291621406}{4 - z} + \left(\frac{12.507343278686905}{5 - z} + \left(\left(\left(\frac{676.5203681218851}{1 - z} + \left(0.9999999999998099 + \frac{-1259.1392167224028}{2 - z}\right)\right) + \frac{771.3234287776531}{3 - z}\right) + \left(\frac{-0.13857109526572012}{6 - z} + \left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \frac{1.5056327351493116 \cdot 10^{-7}}{8 - z}\right)\right)\right)\right)\right) \cdot \left(\frac{e^{z + -7.5}}{t_2} \cdot \left(t_4 \cdot \left(\pi \cdot {\left(7.5 - z\right)}^{\left(0.5 - z\right)}\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left({\left(\left(1 - z\right) + 6.5\right)}^{\left(1 - \left(z + 0.5\right)\right)} \cdot \left(\left(\sqrt{2} \cdot e^{-7.5}\right) \cdot \sqrt{\pi}\right)\right) \cdot \left(t_3 \cdot \left(260.9048120626994 + \left(\left(\frac{12.507343278686905}{\left(1 - z\right) + 4} + \frac{-0.13857109526572012}{1 - \left(z + -5\right)}\right) + \left(\frac{9.984369578019572 \cdot 10^{-6}}{8 + \left(-1 - z\right)} + \frac{1.5056327351493116 \cdot 10^{-7}}{9 + \left(-1 - z\right)}\right)\right)\right)\right)\\
\end{array}
\end{array}
if (*.f64 (/.f64 (PI.f64) (sin.f64 (*.f64 (PI.f64) z))) (*.f64 (*.f64 (*.f64 (sqrt.f64 (*.f64 (PI.f64) 2)) (pow.f64 (+.f64 (+.f64 (-.f64 (-.f64 1 z) 1) 7) 1/2) (+.f64 (-.f64 (-.f64 1 z) 1) 1/2))) (exp.f64 (neg.f64 (+.f64 (+.f64 (-.f64 (-.f64 1 z) 1) 7) 1/2)))) (+.f64 (+.f64 (+.f64 (+.f64 (+.f64 (+.f64 (+.f64 (+.f64 9999999999998099/10000000000000000 (/.f64 6765203681218851/10000000000000 (+.f64 (-.f64 (-.f64 1 z) 1) 1))) (/.f64 -3147848041806007/2500000000000 (+.f64 (-.f64 (-.f64 1 z) 1) 2))) (/.f64 7713234287776531/10000000000000 (+.f64 (-.f64 (-.f64 1 z) 1) 3))) (/.f64 -883075145810703/5000000000000 (+.f64 (-.f64 (-.f64 1 z) 1) 4))) (/.f64 2501468655737381/200000000000000 (+.f64 (-.f64 (-.f64 1 z) 1) 5))) (/.f64 -3464277381643003/25000000000000000 (+.f64 (-.f64 (-.f64 1 z) 1) 6))) (/.f64 2496092394504893/250000000000000000000 (+.f64 (-.f64 (-.f64 1 z) 1) 7))) (/.f64 3764081837873279/25000000000000000000000 (+.f64 (-.f64 (-.f64 1 z) 1) 8))))) < 9.9999999999999992e292Initial program 97.3%
Simplified96.1%
expm1-log1p-u96.1%
expm1-udef96.1%
Applied egg-rr96.1%
expm1-def96.1%
expm1-log1p96.9%
associate-+l+98.0%
+-commutative98.0%
associate-+l+98.0%
Simplified98.9%
div-inv98.8%
associate-*l*98.0%
+-commutative98.0%
*-commutative98.0%
*-commutative98.0%
Applied egg-rr98.0%
expm1-log1p-u47.6%
expm1-udef47.6%
Applied egg-rr47.6%
expm1-def47.6%
expm1-log1p98.0%
associate-*r/98.5%
*-rgt-identity98.5%
times-frac98.3%
/-rgt-identity98.3%
*-commutative98.3%
associate-*l*99.2%
*-commutative99.2%
Simplified99.2%
if 9.9999999999999992e292 < (*.f64 (/.f64 (PI.f64) (sin.f64 (*.f64 (PI.f64) z))) (*.f64 (*.f64 (*.f64 (sqrt.f64 (*.f64 (PI.f64) 2)) (pow.f64 (+.f64 (+.f64 (-.f64 (-.f64 1 z) 1) 7) 1/2) (+.f64 (-.f64 (-.f64 1 z) 1) 1/2))) (exp.f64 (neg.f64 (+.f64 (+.f64 (-.f64 (-.f64 1 z) 1) 7) 1/2)))) (+.f64 (+.f64 (+.f64 (+.f64 (+.f64 (+.f64 (+.f64 (+.f64 9999999999998099/10000000000000000 (/.f64 6765203681218851/10000000000000 (+.f64 (-.f64 (-.f64 1 z) 1) 1))) (/.f64 -3147848041806007/2500000000000 (+.f64 (-.f64 (-.f64 1 z) 1) 2))) (/.f64 7713234287776531/10000000000000 (+.f64 (-.f64 (-.f64 1 z) 1) 3))) (/.f64 -883075145810703/5000000000000 (+.f64 (-.f64 (-.f64 1 z) 1) 4))) (/.f64 2501468655737381/200000000000000 (+.f64 (-.f64 (-.f64 1 z) 1) 5))) (/.f64 -3464277381643003/25000000000000000 (+.f64 (-.f64 (-.f64 1 z) 1) 6))) (/.f64 2496092394504893/250000000000000000000 (+.f64 (-.f64 (-.f64 1 z) 1) 7))) (/.f64 3764081837873279/25000000000000000000000 (+.f64 (-.f64 (-.f64 1 z) 1) 8))))) Initial program 48.8%
Simplified50.0%
Taylor expanded in z around 0 50.0%
Taylor expanded in z around 0 100.0%
Final simplification99.2%
(FPCore (z)
:precision binary64
(*
(*
(/ PI (sin (* PI z)))
(exp
(-
(log (* (pow (- 7.5 z) (- 0.5 z)) (sqrt (* PI 2.0))))
(fma -1.0 z 7.5))))
(+
(+
(+
(pow
(cbrt
(+
0.9999999999998099
(+ (/ 676.5203681218851 (- 1.0 z)) (/ -1259.1392167224028 (- 2.0 z)))))
3.0)
(+
(/ 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))))))
double code(double z) {
return ((((double) M_PI) / sin((((double) M_PI) * z))) * exp((log((pow((7.5 - z), (0.5 - z)) * sqrt((((double) M_PI) * 2.0)))) - fma(-1.0, z, 7.5)))) * (((pow(cbrt((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z))))), 3.0) + ((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))));
}
function code(z) return Float64(Float64(Float64(pi / sin(Float64(pi * z))) * exp(Float64(log(Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * sqrt(Float64(pi * 2.0)))) - fma(-1.0, z, 7.5)))) * Float64(Float64(Float64((cbrt(Float64(0.9999999999998099 + Float64(Float64(676.5203681218851 / Float64(1.0 - z)) + Float64(-1259.1392167224028 / Float64(2.0 - z))))) ^ 3.0) + Float64(Float64(771.3234287776531 / Float64(Float64(1.0 - z) - -2.0)) + Float64(-176.6150291621406 / Float64(Float64(1.0 - z) - -3.0)))) + Float64(Float64(12.507343278686905 / Float64(Float64(1.0 - z) - -4.0)) + Float64(-0.13857109526572012 / Float64(Float64(1.0 - z) - -5.0)))) + Float64(Float64(9.984369578019572e-6 / Float64(Float64(1.0 - z) - -6.0)) + Float64(1.5056327351493116e-7 / Float64(Float64(1.0 - z) - -7.0))))) end
code[z_] := N[(N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Exp[N[(N[Log[N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] - N[(-1.0 * z + 7.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[Power[N[Power[N[(0.9999999999998099 + N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision], 3.0], $MachinePrecision] + N[(N[(771.3234287776531 / N[(N[(1.0 - z), $MachinePrecision] - -2.0), $MachinePrecision]), $MachinePrecision] + N[(-176.6150291621406 / N[(N[(1.0 - z), $MachinePrecision] - -3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(12.507343278686905 / N[(N[(1.0 - z), $MachinePrecision] - -4.0), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(N[(1.0 - z), $MachinePrecision] - -5.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(9.984369578019572e-6 / N[(N[(1.0 - z), $MachinePrecision] - -6.0), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(N[(1.0 - z), $MachinePrecision] - -7.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot e^{\log \left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot \sqrt{\pi \cdot 2}\right) - \mathsf{fma}\left(-1, z, 7.5\right)}\right) \cdot \left(\left(\left({\left(\sqrt[3]{0.9999999999998099 + \left(\frac{676.5203681218851}{1 - z} + \frac{-1259.1392167224028}{2 - z}\right)}\right)}^{3} + \left(\frac{771.3234287776531}{\left(1 - z\right) - -2} + \frac{-176.6150291621406}{\left(1 - z\right) - -3}\right)\right) + \left(\frac{12.507343278686905}{\left(1 - z\right) - -4} + \frac{-0.13857109526572012}{\left(1 - z\right) - -5}\right)\right) + \left(\frac{9.984369578019572 \cdot 10^{-6}}{\left(1 - z\right) - -6} + \frac{1.5056327351493116 \cdot 10^{-7}}{\left(1 - z\right) - -7}\right)\right)
\end{array}
Initial program 95.8%
Simplified97.3%
Applied egg-rr97.9%
Applied egg-rr97.9%
log-prod98.0%
pow-to-exp98.0%
add-log-exp98.0%
Applied egg-rr98.0%
*-commutative98.0%
log-pow98.0%
log-prod97.9%
*-commutative97.9%
fma-udef97.9%
mul-1-neg97.9%
+-commutative97.9%
unsub-neg97.9%
*-commutative97.9%
Simplified97.9%
Final simplification97.9%
(FPCore (z)
:precision binary64
(*
(*
(/ PI (sin (* PI z)))
(exp
(-
(log (* (sqrt (* PI 2.0)) (pow (fma -1.0 z 7.5) (- 0.5 z))))
(fma -1.0 z 7.5))))
(+
(+
(/ 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)))
(+
(+ 0.9999999999998099 (/ 676.5203681218851 (- 1.0 z)))
(/ -1259.1392167224028 (- (- 1.0 z) -1.0))))))))
double code(double z) {
return ((((double) M_PI) / sin((((double) M_PI) * z))) * exp((log((sqrt((((double) M_PI) * 2.0)) * pow(fma(-1.0, z, 7.5), (0.5 - z)))) - fma(-1.0, z, 7.5)))) * (((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))) + ((0.9999999999998099 + (676.5203681218851 / (1.0 - z))) + (-1259.1392167224028 / ((1.0 - z) - -1.0))))));
}
function code(z) return Float64(Float64(Float64(pi / sin(Float64(pi * z))) * exp(Float64(log(Float64(sqrt(Float64(pi * 2.0)) * (fma(-1.0, z, 7.5) ^ Float64(0.5 - z)))) - fma(-1.0, z, 7.5)))) * 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(0.9999999999998099 + Float64(676.5203681218851 / Float64(1.0 - z))) + Float64(-1259.1392167224028 / Float64(Float64(1.0 - z) - -1.0))))))) end
code[z_] := N[(N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Exp[N[(N[Log[N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[Power[N[(-1.0 * z + 7.5), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] - N[(-1.0 * z + 7.5), $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[(0.9999999999998099 + N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-1259.1392167224028 / N[(N[(1.0 - z), $MachinePrecision] - -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot e^{\log \left(\sqrt{\pi \cdot 2} \cdot {\left(\mathsf{fma}\left(-1, z, 7.5\right)\right)}^{\left(0.5 - z\right)}\right) - \mathsf{fma}\left(-1, z, 7.5\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(\left(0.9999999999998099 + \frac{676.5203681218851}{1 - z}\right) + \frac{-1259.1392167224028}{\left(1 - z\right) - -1}\right)\right)\right)\right)
\end{array}
Initial program 95.8%
Simplified97.3%
Applied egg-rr97.9%
Final simplification97.9%
(FPCore (z)
:precision binary64
(let* ((t_0 (* PI (pow (- 7.5 z) (- 0.5 z))))
(t_1 (sin (* PI z)))
(t_2 (exp (+ z -7.5)))
(t_3 (sqrt (* PI 2.0))))
(if (<= z -1e-7)
(*
(* t_2 (* t_3 (/ t_0 t_1)))
(+
(+
(/ 9.984369578019572e-6 (- 7.0 z))
(/ 1.5056327351493116e-7 (- 8.0 z)))
(+
(+ (/ -176.6150291621406 (- 4.0 z)) (/ 12.507343278686905 (- 5.0 z)))
(+
(+ (/ 676.5203681218851 (- 1.0 z)) (/ -0.13857109526572012 (- 6.0 z)))
(+
(/ -1259.1392167224028 (- 2.0 z))
(+ 0.9999999999998099 (/ 771.3234287776531 (- 3.0 z))))))))
(*
(+ 263.3831869810514 (* z 436.8961725563396))
(* t_2 (/ (* t_3 t_0) t_1))))))
double code(double z) {
double t_0 = ((double) M_PI) * pow((7.5 - z), (0.5 - z));
double t_1 = sin((((double) M_PI) * z));
double t_2 = exp((z + -7.5));
double t_3 = sqrt((((double) M_PI) * 2.0));
double tmp;
if (z <= -1e-7) {
tmp = (t_2 * (t_3 * (t_0 / t_1))) * (((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + (((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z))) + (((676.5203681218851 / (1.0 - z)) + (-0.13857109526572012 / (6.0 - z))) + ((-1259.1392167224028 / (2.0 - z)) + (0.9999999999998099 + (771.3234287776531 / (3.0 - z)))))));
} else {
tmp = (263.3831869810514 + (z * 436.8961725563396)) * (t_2 * ((t_3 * t_0) / t_1));
}
return tmp;
}
public static double code(double z) {
double t_0 = Math.PI * Math.pow((7.5 - z), (0.5 - z));
double t_1 = Math.sin((Math.PI * z));
double t_2 = Math.exp((z + -7.5));
double t_3 = Math.sqrt((Math.PI * 2.0));
double tmp;
if (z <= -1e-7) {
tmp = (t_2 * (t_3 * (t_0 / t_1))) * (((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + (((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z))) + (((676.5203681218851 / (1.0 - z)) + (-0.13857109526572012 / (6.0 - z))) + ((-1259.1392167224028 / (2.0 - z)) + (0.9999999999998099 + (771.3234287776531 / (3.0 - z)))))));
} else {
tmp = (263.3831869810514 + (z * 436.8961725563396)) * (t_2 * ((t_3 * t_0) / t_1));
}
return tmp;
}
def code(z): t_0 = math.pi * math.pow((7.5 - z), (0.5 - z)) t_1 = math.sin((math.pi * z)) t_2 = math.exp((z + -7.5)) t_3 = math.sqrt((math.pi * 2.0)) tmp = 0 if z <= -1e-7: tmp = (t_2 * (t_3 * (t_0 / t_1))) * (((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + (((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z))) + (((676.5203681218851 / (1.0 - z)) + (-0.13857109526572012 / (6.0 - z))) + ((-1259.1392167224028 / (2.0 - z)) + (0.9999999999998099 + (771.3234287776531 / (3.0 - z))))))) else: tmp = (263.3831869810514 + (z * 436.8961725563396)) * (t_2 * ((t_3 * t_0) / t_1)) return tmp
function code(z) t_0 = Float64(pi * (Float64(7.5 - z) ^ Float64(0.5 - z))) t_1 = sin(Float64(pi * z)) t_2 = exp(Float64(z + -7.5)) t_3 = sqrt(Float64(pi * 2.0)) tmp = 0.0 if (z <= -1e-7) tmp = Float64(Float64(t_2 * Float64(t_3 * Float64(t_0 / t_1))) * Float64(Float64(Float64(9.984369578019572e-6 / Float64(7.0 - z)) + Float64(1.5056327351493116e-7 / Float64(8.0 - z))) + Float64(Float64(Float64(-176.6150291621406 / Float64(4.0 - z)) + Float64(12.507343278686905 / Float64(5.0 - z))) + Float64(Float64(Float64(676.5203681218851 / Float64(1.0 - z)) + Float64(-0.13857109526572012 / Float64(6.0 - z))) + Float64(Float64(-1259.1392167224028 / Float64(2.0 - z)) + Float64(0.9999999999998099 + Float64(771.3234287776531 / Float64(3.0 - z)))))))); else tmp = Float64(Float64(263.3831869810514 + Float64(z * 436.8961725563396)) * Float64(t_2 * Float64(Float64(t_3 * t_0) / t_1))); end return tmp end
function tmp_2 = code(z) t_0 = pi * ((7.5 - z) ^ (0.5 - z)); t_1 = sin((pi * z)); t_2 = exp((z + -7.5)); t_3 = sqrt((pi * 2.0)); tmp = 0.0; if (z <= -1e-7) tmp = (t_2 * (t_3 * (t_0 / t_1))) * (((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + (((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z))) + (((676.5203681218851 / (1.0 - z)) + (-0.13857109526572012 / (6.0 - z))) + ((-1259.1392167224028 / (2.0 - z)) + (0.9999999999998099 + (771.3234287776531 / (3.0 - z))))))); else tmp = (263.3831869810514 + (z * 436.8961725563396)) * (t_2 * ((t_3 * t_0) / t_1)); end tmp_2 = tmp; end
code[z_] := Block[{t$95$0 = N[(Pi * N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[z, -1e-7], N[(N[(t$95$2 * N[(t$95$3 * N[(t$95$0 / t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(9.984369578019572e-6 / N[(7.0 - z), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(8.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(-176.6150291621406 / N[(4.0 - z), $MachinePrecision]), $MachinePrecision] + N[(12.507343278686905 / N[(5.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(6.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision] + N[(0.9999999999998099 + N[(771.3234287776531 / N[(3.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(263.3831869810514 + N[(z * 436.8961725563396), $MachinePrecision]), $MachinePrecision] * N[(t$95$2 * N[(N[(t$95$3 * t$95$0), $MachinePrecision] / t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \pi \cdot {\left(7.5 - z\right)}^{\left(0.5 - z\right)}\\
t_1 := \sin \left(\pi \cdot z\right)\\
t_2 := e^{z + -7.5}\\
t_3 := \sqrt{\pi \cdot 2}\\
\mathbf{if}\;z \leq -1 \cdot 10^{-7}:\\
\;\;\;\;\left(t_2 \cdot \left(t_3 \cdot \frac{t_0}{t_1}\right)\right) \cdot \left(\left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \frac{1.5056327351493116 \cdot 10^{-7}}{8 - z}\right) + \left(\left(\frac{-176.6150291621406}{4 - z} + \frac{12.507343278686905}{5 - z}\right) + \left(\left(\frac{676.5203681218851}{1 - z} + \frac{-0.13857109526572012}{6 - z}\right) + \left(\frac{-1259.1392167224028}{2 - z} + \left(0.9999999999998099 + \frac{771.3234287776531}{3 - z}\right)\right)\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\left(263.3831869810514 + z \cdot 436.8961725563396\right) \cdot \left(t_2 \cdot \frac{t_3 \cdot t_0}{t_1}\right)\\
\end{array}
\end{array}
if z < -9.9999999999999995e-8Initial program 61.2%
Simplified61.2%
expm1-log1p-u26.3%
expm1-udef26.2%
Applied egg-rr26.3%
expm1-def26.4%
expm1-log1p61.3%
associate-/r/61.3%
fma-def61.3%
neg-mul-161.3%
+-commutative61.3%
sub-neg61.3%
*-commutative61.3%
Simplified61.3%
if -9.9999999999999995e-8 < z Initial program 97.3%
Simplified96.1%
Taylor expanded in z around 0 98.5%
*-commutative98.5%
Simplified98.5%
Final simplification96.9%
(FPCore (z)
:precision binary64
(*
(+
(/ -176.6150291621406 (- 4.0 z))
(+
(/ 12.507343278686905 (- 5.0 z))
(+
(+
(+
(/ 676.5203681218851 (- 1.0 z))
(+ 0.9999999999998099 (/ -1259.1392167224028 (- 2.0 z))))
(/ 771.3234287776531 (- 3.0 z)))
(+
(/ -0.13857109526572012 (- 6.0 z))
(+
(/ 9.984369578019572e-6 (- 7.0 z))
(/ 1.5056327351493116e-7 (- 8.0 z)))))))
(*
(exp (+ z -7.5))
(* (sqrt (* PI 2.0)) (/ (* PI (pow (- 7.5 z) (- 0.5 z))) (sin (* PI z)))))))
double code(double z) {
return ((-176.6150291621406 / (4.0 - z)) + ((12.507343278686905 / (5.0 - z)) + ((((676.5203681218851 / (1.0 - z)) + (0.9999999999998099 + (-1259.1392167224028 / (2.0 - z)))) + (771.3234287776531 / (3.0 - z))) + ((-0.13857109526572012 / (6.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))))))) * (exp((z + -7.5)) * (sqrt((((double) M_PI) * 2.0)) * ((((double) M_PI) * pow((7.5 - z), (0.5 - z))) / sin((((double) M_PI) * z)))));
}
public static double code(double z) {
return ((-176.6150291621406 / (4.0 - z)) + ((12.507343278686905 / (5.0 - z)) + ((((676.5203681218851 / (1.0 - z)) + (0.9999999999998099 + (-1259.1392167224028 / (2.0 - z)))) + (771.3234287776531 / (3.0 - z))) + ((-0.13857109526572012 / (6.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))))))) * (Math.exp((z + -7.5)) * (Math.sqrt((Math.PI * 2.0)) * ((Math.PI * Math.pow((7.5 - z), (0.5 - z))) / Math.sin((Math.PI * z)))));
}
def code(z): return ((-176.6150291621406 / (4.0 - z)) + ((12.507343278686905 / (5.0 - z)) + ((((676.5203681218851 / (1.0 - z)) + (0.9999999999998099 + (-1259.1392167224028 / (2.0 - z)))) + (771.3234287776531 / (3.0 - z))) + ((-0.13857109526572012 / (6.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))))))) * (math.exp((z + -7.5)) * (math.sqrt((math.pi * 2.0)) * ((math.pi * math.pow((7.5 - z), (0.5 - z))) / math.sin((math.pi * z)))))
function code(z) return Float64(Float64(Float64(-176.6150291621406 / Float64(4.0 - z)) + Float64(Float64(12.507343278686905 / Float64(5.0 - z)) + Float64(Float64(Float64(Float64(676.5203681218851 / Float64(1.0 - z)) + Float64(0.9999999999998099 + Float64(-1259.1392167224028 / Float64(2.0 - z)))) + Float64(771.3234287776531 / Float64(3.0 - z))) + Float64(Float64(-0.13857109526572012 / Float64(6.0 - z)) + Float64(Float64(9.984369578019572e-6 / Float64(7.0 - z)) + Float64(1.5056327351493116e-7 / Float64(8.0 - z))))))) * Float64(exp(Float64(z + -7.5)) * Float64(sqrt(Float64(pi * 2.0)) * Float64(Float64(pi * (Float64(7.5 - z) ^ Float64(0.5 - z))) / sin(Float64(pi * z)))))) end
function tmp = code(z) tmp = ((-176.6150291621406 / (4.0 - z)) + ((12.507343278686905 / (5.0 - z)) + ((((676.5203681218851 / (1.0 - z)) + (0.9999999999998099 + (-1259.1392167224028 / (2.0 - z)))) + (771.3234287776531 / (3.0 - z))) + ((-0.13857109526572012 / (6.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))))))) * (exp((z + -7.5)) * (sqrt((pi * 2.0)) * ((pi * ((7.5 - z) ^ (0.5 - z))) / sin((pi * z))))); end
code[z_] := N[(N[(N[(-176.6150291621406 / N[(4.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(12.507343278686905 / N[(5.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + N[(0.9999999999998099 + N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(771.3234287776531 / N[(3.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(-0.13857109526572012 / N[(6.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(9.984369578019572e-6 / N[(7.0 - z), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(8.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision] * N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[(Pi * N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{-176.6150291621406}{4 - z} + \left(\frac{12.507343278686905}{5 - z} + \left(\left(\left(\frac{676.5203681218851}{1 - z} + \left(0.9999999999998099 + \frac{-1259.1392167224028}{2 - z}\right)\right) + \frac{771.3234287776531}{3 - z}\right) + \left(\frac{-0.13857109526572012}{6 - z} + \left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \frac{1.5056327351493116 \cdot 10^{-7}}{8 - z}\right)\right)\right)\right)\right) \cdot \left(e^{z + -7.5} \cdot \left(\sqrt{\pi \cdot 2} \cdot \frac{\pi \cdot {\left(7.5 - z\right)}^{\left(0.5 - z\right)}}{\sin \left(\pi \cdot z\right)}\right)\right)
\end{array}
Initial program 95.8%
Simplified94.6%
expm1-log1p-u94.7%
expm1-udef94.7%
Applied egg-rr94.6%
expm1-def94.6%
expm1-log1p95.4%
associate-+l+96.4%
+-commutative96.4%
associate-+l+96.4%
Simplified97.3%
*-un-lft-identity97.3%
associate-/l*97.0%
+-commutative97.0%
*-commutative97.0%
*-commutative97.0%
Applied egg-rr97.0%
*-lft-identity97.0%
associate-/r/97.0%
sub-neg97.0%
Simplified97.0%
Final simplification97.0%
(FPCore (z)
:precision binary64
(*
(+
(/ -176.6150291621406 (- 4.0 z))
(+
(/ 12.507343278686905 (- 5.0 z))
(+
(+
(+
(/ 676.5203681218851 (- 1.0 z))
(+ 0.9999999999998099 (/ -1259.1392167224028 (- 2.0 z))))
(/ 771.3234287776531 (- 3.0 z)))
(+
(/ -0.13857109526572012 (- 6.0 z))
(+
(/ 9.984369578019572e-6 (- 7.0 z))
(/ 1.5056327351493116e-7 (- 8.0 z)))))))
(*
(exp (+ z -7.5))
(/
(* (sqrt 2.0) (* (pow (- 7.5 z) (- 0.5 z)) (pow PI 1.5)))
(sin (* PI z))))))
double code(double z) {
return ((-176.6150291621406 / (4.0 - z)) + ((12.507343278686905 / (5.0 - z)) + ((((676.5203681218851 / (1.0 - z)) + (0.9999999999998099 + (-1259.1392167224028 / (2.0 - z)))) + (771.3234287776531 / (3.0 - z))) + ((-0.13857109526572012 / (6.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))))))) * (exp((z + -7.5)) * ((sqrt(2.0) * (pow((7.5 - z), (0.5 - z)) * pow(((double) M_PI), 1.5))) / sin((((double) M_PI) * z))));
}
public static double code(double z) {
return ((-176.6150291621406 / (4.0 - z)) + ((12.507343278686905 / (5.0 - z)) + ((((676.5203681218851 / (1.0 - z)) + (0.9999999999998099 + (-1259.1392167224028 / (2.0 - z)))) + (771.3234287776531 / (3.0 - z))) + ((-0.13857109526572012 / (6.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))))))) * (Math.exp((z + -7.5)) * ((Math.sqrt(2.0) * (Math.pow((7.5 - z), (0.5 - z)) * Math.pow(Math.PI, 1.5))) / Math.sin((Math.PI * z))));
}
def code(z): return ((-176.6150291621406 / (4.0 - z)) + ((12.507343278686905 / (5.0 - z)) + ((((676.5203681218851 / (1.0 - z)) + (0.9999999999998099 + (-1259.1392167224028 / (2.0 - z)))) + (771.3234287776531 / (3.0 - z))) + ((-0.13857109526572012 / (6.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))))))) * (math.exp((z + -7.5)) * ((math.sqrt(2.0) * (math.pow((7.5 - z), (0.5 - z)) * math.pow(math.pi, 1.5))) / math.sin((math.pi * z))))
function code(z) return Float64(Float64(Float64(-176.6150291621406 / Float64(4.0 - z)) + Float64(Float64(12.507343278686905 / Float64(5.0 - z)) + Float64(Float64(Float64(Float64(676.5203681218851 / Float64(1.0 - z)) + Float64(0.9999999999998099 + Float64(-1259.1392167224028 / Float64(2.0 - z)))) + Float64(771.3234287776531 / Float64(3.0 - z))) + Float64(Float64(-0.13857109526572012 / Float64(6.0 - z)) + Float64(Float64(9.984369578019572e-6 / Float64(7.0 - z)) + Float64(1.5056327351493116e-7 / Float64(8.0 - z))))))) * Float64(exp(Float64(z + -7.5)) * Float64(Float64(sqrt(2.0) * Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * (pi ^ 1.5))) / sin(Float64(pi * z))))) end
function tmp = code(z) tmp = ((-176.6150291621406 / (4.0 - z)) + ((12.507343278686905 / (5.0 - z)) + ((((676.5203681218851 / (1.0 - z)) + (0.9999999999998099 + (-1259.1392167224028 / (2.0 - z)))) + (771.3234287776531 / (3.0 - z))) + ((-0.13857109526572012 / (6.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))))))) * (exp((z + -7.5)) * ((sqrt(2.0) * (((7.5 - z) ^ (0.5 - z)) * (pi ^ 1.5))) / sin((pi * z)))); end
code[z_] := N[(N[(N[(-176.6150291621406 / N[(4.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(12.507343278686905 / N[(5.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + N[(0.9999999999998099 + N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(771.3234287776531 / N[(3.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(-0.13857109526572012 / N[(6.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(9.984369578019572e-6 / N[(7.0 - z), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(8.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision] * N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[Power[Pi, 1.5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{-176.6150291621406}{4 - z} + \left(\frac{12.507343278686905}{5 - z} + \left(\left(\left(\frac{676.5203681218851}{1 - z} + \left(0.9999999999998099 + \frac{-1259.1392167224028}{2 - z}\right)\right) + \frac{771.3234287776531}{3 - z}\right) + \left(\frac{-0.13857109526572012}{6 - z} + \left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \frac{1.5056327351493116 \cdot 10^{-7}}{8 - z}\right)\right)\right)\right)\right) \cdot \left(e^{z + -7.5} \cdot \frac{\sqrt{2} \cdot \left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot {\pi}^{1.5}\right)}{\sin \left(\pi \cdot z\right)}\right)
\end{array}
Initial program 95.8%
Simplified94.6%
expm1-log1p-u94.7%
expm1-udef94.7%
Applied egg-rr94.6%
expm1-def94.6%
expm1-log1p95.4%
associate-+l+96.4%
+-commutative96.4%
associate-+l+96.4%
Simplified97.3%
Taylor expanded in z around inf 96.8%
associate-*l*97.3%
*-commutative97.3%
sqr-pow97.3%
rem-sqrt-square97.3%
sqr-pow97.3%
fabs-sqr97.3%
sqr-pow97.3%
metadata-eval97.3%
Simplified97.3%
Final simplification97.3%
(FPCore (z)
:precision binary64
(*
(+
(/ -176.6150291621406 (- 4.0 z))
(+
(/ 12.507343278686905 (- 5.0 z))
(+
(+
(+
(/ 676.5203681218851 (- 1.0 z))
(+ 0.9999999999998099 (/ -1259.1392167224028 (- 2.0 z))))
(/ 771.3234287776531 (- 3.0 z)))
(+
(/ -0.13857109526572012 (- 6.0 z))
(+
(/ 9.984369578019572e-6 (- 7.0 z))
(/ 1.5056327351493116e-7 (- 8.0 z)))))))
(*
(/ (exp (+ z -7.5)) (sin (* PI z)))
(* (sqrt (* PI 2.0)) (* PI (pow (- 7.5 z) (- 0.5 z)))))))
double code(double z) {
return ((-176.6150291621406 / (4.0 - z)) + ((12.507343278686905 / (5.0 - z)) + ((((676.5203681218851 / (1.0 - z)) + (0.9999999999998099 + (-1259.1392167224028 / (2.0 - z)))) + (771.3234287776531 / (3.0 - z))) + ((-0.13857109526572012 / (6.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))))))) * ((exp((z + -7.5)) / sin((((double) M_PI) * z))) * (sqrt((((double) M_PI) * 2.0)) * (((double) M_PI) * pow((7.5 - z), (0.5 - z)))));
}
public static double code(double z) {
return ((-176.6150291621406 / (4.0 - z)) + ((12.507343278686905 / (5.0 - z)) + ((((676.5203681218851 / (1.0 - z)) + (0.9999999999998099 + (-1259.1392167224028 / (2.0 - z)))) + (771.3234287776531 / (3.0 - z))) + ((-0.13857109526572012 / (6.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))))))) * ((Math.exp((z + -7.5)) / Math.sin((Math.PI * z))) * (Math.sqrt((Math.PI * 2.0)) * (Math.PI * Math.pow((7.5 - z), (0.5 - z)))));
}
def code(z): return ((-176.6150291621406 / (4.0 - z)) + ((12.507343278686905 / (5.0 - z)) + ((((676.5203681218851 / (1.0 - z)) + (0.9999999999998099 + (-1259.1392167224028 / (2.0 - z)))) + (771.3234287776531 / (3.0 - z))) + ((-0.13857109526572012 / (6.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))))))) * ((math.exp((z + -7.5)) / math.sin((math.pi * z))) * (math.sqrt((math.pi * 2.0)) * (math.pi * math.pow((7.5 - z), (0.5 - z)))))
function code(z) return Float64(Float64(Float64(-176.6150291621406 / Float64(4.0 - z)) + Float64(Float64(12.507343278686905 / Float64(5.0 - z)) + Float64(Float64(Float64(Float64(676.5203681218851 / Float64(1.0 - z)) + Float64(0.9999999999998099 + Float64(-1259.1392167224028 / Float64(2.0 - z)))) + Float64(771.3234287776531 / Float64(3.0 - z))) + Float64(Float64(-0.13857109526572012 / Float64(6.0 - z)) + Float64(Float64(9.984369578019572e-6 / Float64(7.0 - z)) + Float64(1.5056327351493116e-7 / Float64(8.0 - z))))))) * Float64(Float64(exp(Float64(z + -7.5)) / sin(Float64(pi * z))) * Float64(sqrt(Float64(pi * 2.0)) * Float64(pi * (Float64(7.5 - z) ^ Float64(0.5 - z)))))) end
function tmp = code(z) tmp = ((-176.6150291621406 / (4.0 - z)) + ((12.507343278686905 / (5.0 - z)) + ((((676.5203681218851 / (1.0 - z)) + (0.9999999999998099 + (-1259.1392167224028 / (2.0 - z)))) + (771.3234287776531 / (3.0 - z))) + ((-0.13857109526572012 / (6.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))))))) * ((exp((z + -7.5)) / sin((pi * z))) * (sqrt((pi * 2.0)) * (pi * ((7.5 - z) ^ (0.5 - z))))); end
code[z_] := N[(N[(N[(-176.6150291621406 / N[(4.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(12.507343278686905 / N[(5.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + N[(0.9999999999998099 + N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(771.3234287776531 / N[(3.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(-0.13857109526572012 / N[(6.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(9.984369578019572e-6 / N[(7.0 - z), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(8.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision] / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(Pi * N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{-176.6150291621406}{4 - z} + \left(\frac{12.507343278686905}{5 - z} + \left(\left(\left(\frac{676.5203681218851}{1 - z} + \left(0.9999999999998099 + \frac{-1259.1392167224028}{2 - z}\right)\right) + \frac{771.3234287776531}{3 - z}\right) + \left(\frac{-0.13857109526572012}{6 - z} + \left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \frac{1.5056327351493116 \cdot 10^{-7}}{8 - z}\right)\right)\right)\right)\right) \cdot \left(\frac{e^{z + -7.5}}{\sin \left(\pi \cdot z\right)} \cdot \left(\sqrt{\pi \cdot 2} \cdot \left(\pi \cdot {\left(7.5 - z\right)}^{\left(0.5 - z\right)}\right)\right)\right)
\end{array}
Initial program 95.8%
Simplified94.6%
expm1-log1p-u94.7%
expm1-udef94.7%
Applied egg-rr94.6%
expm1-def94.6%
expm1-log1p95.4%
associate-+l+96.4%
+-commutative96.4%
associate-+l+96.4%
Simplified97.3%
div-inv97.3%
associate-*l*96.4%
+-commutative96.4%
*-commutative96.4%
*-commutative96.4%
Applied egg-rr96.4%
expm1-log1p-u47.5%
expm1-udef47.5%
Applied egg-rr47.5%
expm1-def47.5%
expm1-log1p96.4%
associate-*r/96.9%
*-rgt-identity96.9%
times-frac96.8%
/-rgt-identity96.8%
*-commutative96.8%
associate-*l*97.7%
*-commutative97.7%
Simplified97.7%
Final simplification97.7%
(FPCore (z) :precision binary64 (* (+ 263.3831869810514 (* z 436.8961725563396)) (* (exp (+ z -7.5)) (/ (* (sqrt (* PI 2.0)) (* PI (pow (- 7.5 z) (- 0.5 z)))) (sin (* PI z))))))
double code(double z) {
return (263.3831869810514 + (z * 436.8961725563396)) * (exp((z + -7.5)) * ((sqrt((((double) M_PI) * 2.0)) * (((double) M_PI) * pow((7.5 - z), (0.5 - z)))) / sin((((double) M_PI) * z))));
}
public static double code(double z) {
return (263.3831869810514 + (z * 436.8961725563396)) * (Math.exp((z + -7.5)) * ((Math.sqrt((Math.PI * 2.0)) * (Math.PI * Math.pow((7.5 - z), (0.5 - z)))) / Math.sin((Math.PI * z))));
}
def code(z): return (263.3831869810514 + (z * 436.8961725563396)) * (math.exp((z + -7.5)) * ((math.sqrt((math.pi * 2.0)) * (math.pi * math.pow((7.5 - z), (0.5 - z)))) / math.sin((math.pi * z))))
function code(z) return Float64(Float64(263.3831869810514 + Float64(z * 436.8961725563396)) * Float64(exp(Float64(z + -7.5)) * Float64(Float64(sqrt(Float64(pi * 2.0)) * Float64(pi * (Float64(7.5 - z) ^ Float64(0.5 - z)))) / sin(Float64(pi * z))))) end
function tmp = code(z) tmp = (263.3831869810514 + (z * 436.8961725563396)) * (exp((z + -7.5)) * ((sqrt((pi * 2.0)) * (pi * ((7.5 - z) ^ (0.5 - z)))) / sin((pi * z)))); end
code[z_] := N[(N[(263.3831869810514 + N[(z * 436.8961725563396), $MachinePrecision]), $MachinePrecision] * N[(N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision] * N[(N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(Pi * N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(263.3831869810514 + z \cdot 436.8961725563396\right) \cdot \left(e^{z + -7.5} \cdot \frac{\sqrt{\pi \cdot 2} \cdot \left(\pi \cdot {\left(7.5 - z\right)}^{\left(0.5 - z\right)}\right)}{\sin \left(\pi \cdot z\right)}\right)
\end{array}
Initial program 95.8%
Simplified94.6%
Taylor expanded in z around 0 94.6%
*-commutative94.6%
Simplified94.6%
Final simplification94.6%
(FPCore (z) :precision binary64 (* 263.3831869810514 (* (exp (+ z -7.5)) (/ (* (sqrt (* PI 2.0)) (* PI (pow (- 7.5 z) (- 0.5 z)))) (sin (* PI z))))))
double code(double z) {
return 263.3831869810514 * (exp((z + -7.5)) * ((sqrt((((double) M_PI) * 2.0)) * (((double) M_PI) * pow((7.5 - z), (0.5 - z)))) / sin((((double) M_PI) * z))));
}
public static double code(double z) {
return 263.3831869810514 * (Math.exp((z + -7.5)) * ((Math.sqrt((Math.PI * 2.0)) * (Math.PI * Math.pow((7.5 - z), (0.5 - z)))) / Math.sin((Math.PI * z))));
}
def code(z): return 263.3831869810514 * (math.exp((z + -7.5)) * ((math.sqrt((math.pi * 2.0)) * (math.pi * math.pow((7.5 - z), (0.5 - z)))) / math.sin((math.pi * z))))
function code(z) return Float64(263.3831869810514 * Float64(exp(Float64(z + -7.5)) * Float64(Float64(sqrt(Float64(pi * 2.0)) * Float64(pi * (Float64(7.5 - z) ^ Float64(0.5 - z)))) / sin(Float64(pi * z))))) end
function tmp = code(z) tmp = 263.3831869810514 * (exp((z + -7.5)) * ((sqrt((pi * 2.0)) * (pi * ((7.5 - z) ^ (0.5 - z)))) / sin((pi * z)))); end
code[z_] := N[(263.3831869810514 * N[(N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision] * N[(N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(Pi * N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
263.3831869810514 \cdot \left(e^{z + -7.5} \cdot \frac{\sqrt{\pi \cdot 2} \cdot \left(\pi \cdot {\left(7.5 - z\right)}^{\left(0.5 - z\right)}\right)}{\sin \left(\pi \cdot z\right)}\right)
\end{array}
Initial program 95.8%
Simplified94.6%
Taylor expanded in z around 0 94.4%
Final simplification94.4%
(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(sqrt(pi) * Float64(Float64(exp(-7.5) * sqrt(7.5)) * Float64(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[Sqrt[Pi], $MachinePrecision] * N[(N[(N[Exp[-7.5], $MachinePrecision] * N[Sqrt[7.5], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
263.3831869810514 \cdot \left(\sqrt{\pi} \cdot \left(\left(e^{-7.5} \cdot \sqrt{7.5}\right) \cdot \frac{\sqrt{2}}{z}\right)\right)
\end{array}
Initial program 95.8%
Simplified94.6%
Taylor expanded in z around 0 91.9%
*-commutative91.9%
associate-/l*91.6%
Simplified91.6%
Taylor expanded in z around 0 94.4%
associate-/r/94.3%
Applied egg-rr94.3%
Final simplification94.3%
(FPCore (z) :precision binary64 (* 263.3831869810514 (* (sqrt PI) (/ (sqrt 2.0) (/ z (* (exp -7.5) (sqrt 7.5)))))))
double code(double z) {
return 263.3831869810514 * (sqrt(((double) M_PI)) * (sqrt(2.0) / (z / (exp(-7.5) * sqrt(7.5)))));
}
public static double code(double z) {
return 263.3831869810514 * (Math.sqrt(Math.PI) * (Math.sqrt(2.0) / (z / (Math.exp(-7.5) * Math.sqrt(7.5)))));
}
def code(z): return 263.3831869810514 * (math.sqrt(math.pi) * (math.sqrt(2.0) / (z / (math.exp(-7.5) * math.sqrt(7.5)))))
function code(z) return Float64(263.3831869810514 * Float64(sqrt(pi) * Float64(sqrt(2.0) / Float64(z / Float64(exp(-7.5) * sqrt(7.5)))))) end
function tmp = code(z) tmp = 263.3831869810514 * (sqrt(pi) * (sqrt(2.0) / (z / (exp(-7.5) * sqrt(7.5))))); end
code[z_] := N[(263.3831869810514 * N[(N[Sqrt[Pi], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] / N[(z / N[(N[Exp[-7.5], $MachinePrecision] * N[Sqrt[7.5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
263.3831869810514 \cdot \left(\sqrt{\pi} \cdot \frac{\sqrt{2}}{\frac{z}{e^{-7.5} \cdot \sqrt{7.5}}}\right)
\end{array}
Initial program 95.8%
Simplified94.6%
Taylor expanded in z around 0 91.9%
*-commutative91.9%
associate-/l*91.6%
Simplified91.6%
Taylor expanded in z around 0 94.4%
Final simplification94.4%
(FPCore (z) :precision binary64 (* 263.3831869810514 (* (sqrt 7.5) (* (exp -7.5) (/ (sqrt (* PI 2.0)) z)))))
double code(double z) {
return 263.3831869810514 * (sqrt(7.5) * (exp(-7.5) * (sqrt((((double) M_PI) * 2.0)) / z)));
}
public static double code(double z) {
return 263.3831869810514 * (Math.sqrt(7.5) * (Math.exp(-7.5) * (Math.sqrt((Math.PI * 2.0)) / z)));
}
def code(z): return 263.3831869810514 * (math.sqrt(7.5) * (math.exp(-7.5) * (math.sqrt((math.pi * 2.0)) / z)))
function code(z) return Float64(263.3831869810514 * Float64(sqrt(7.5) * Float64(exp(-7.5) * Float64(sqrt(Float64(pi * 2.0)) / z)))) end
function tmp = code(z) tmp = 263.3831869810514 * (sqrt(7.5) * (exp(-7.5) * (sqrt((pi * 2.0)) / z))); end
code[z_] := N[(263.3831869810514 * N[(N[Sqrt[7.5], $MachinePrecision] * N[(N[Exp[-7.5], $MachinePrecision] * N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
263.3831869810514 \cdot \left(\sqrt{7.5} \cdot \left(e^{-7.5} \cdot \frac{\sqrt{\pi \cdot 2}}{z}\right)\right)
\end{array}
Initial program 95.8%
Simplified94.6%
Taylor expanded in z around 0 91.9%
*-commutative91.9%
associate-/l*91.6%
Simplified91.6%
Taylor expanded in z around 0 94.4%
pow194.4%
associate-*r/94.3%
sqrt-prod94.0%
*-commutative94.0%
Applied egg-rr94.0%
unpow194.0%
associate-/r/94.0%
associate-*r*93.9%
Simplified93.9%
Final simplification93.9%
(FPCore (z) :precision binary64 (* 263.3831869810514 (* (* (exp -7.5) (sqrt 7.5)) (/ (sqrt (* PI 2.0)) z))))
double code(double z) {
return 263.3831869810514 * ((exp(-7.5) * sqrt(7.5)) * (sqrt((((double) M_PI) * 2.0)) / z));
}
public static double code(double z) {
return 263.3831869810514 * ((Math.exp(-7.5) * Math.sqrt(7.5)) * (Math.sqrt((Math.PI * 2.0)) / z));
}
def code(z): return 263.3831869810514 * ((math.exp(-7.5) * math.sqrt(7.5)) * (math.sqrt((math.pi * 2.0)) / z))
function code(z) return Float64(263.3831869810514 * Float64(Float64(exp(-7.5) * sqrt(7.5)) * Float64(sqrt(Float64(pi * 2.0)) / z))) end
function tmp = code(z) tmp = 263.3831869810514 * ((exp(-7.5) * sqrt(7.5)) * (sqrt((pi * 2.0)) / z)); end
code[z_] := N[(263.3831869810514 * N[(N[(N[Exp[-7.5], $MachinePrecision] * N[Sqrt[7.5], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
263.3831869810514 \cdot \left(\left(e^{-7.5} \cdot \sqrt{7.5}\right) \cdot \frac{\sqrt{\pi \cdot 2}}{z}\right)
\end{array}
Initial program 95.8%
Simplified94.6%
Taylor expanded in z around 0 91.9%
*-commutative91.9%
associate-/l*91.6%
Simplified91.6%
Taylor expanded in z around 0 94.4%
pow194.4%
associate-*r/94.3%
sqrt-prod94.0%
*-commutative94.0%
Applied egg-rr94.0%
unpow194.0%
associate-/r/94.0%
Simplified94.0%
Final simplification94.0%
(FPCore (z) :precision binary64 (* 263.3831869810514 (* (sqrt 7.5) (/ (* (sqrt (* PI 2.0)) (exp -7.5)) z))))
double code(double z) {
return 263.3831869810514 * (sqrt(7.5) * ((sqrt((((double) M_PI) * 2.0)) * exp(-7.5)) / z));
}
public static double code(double z) {
return 263.3831869810514 * (Math.sqrt(7.5) * ((Math.sqrt((Math.PI * 2.0)) * Math.exp(-7.5)) / z));
}
def code(z): return 263.3831869810514 * (math.sqrt(7.5) * ((math.sqrt((math.pi * 2.0)) * math.exp(-7.5)) / z))
function code(z) return Float64(263.3831869810514 * Float64(sqrt(7.5) * Float64(Float64(sqrt(Float64(pi * 2.0)) * exp(-7.5)) / z))) end
function tmp = code(z) tmp = 263.3831869810514 * (sqrt(7.5) * ((sqrt((pi * 2.0)) * exp(-7.5)) / z)); end
code[z_] := N[(263.3831869810514 * N[(N[Sqrt[7.5], $MachinePrecision] * N[(N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[Exp[-7.5], $MachinePrecision]), $MachinePrecision] / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
263.3831869810514 \cdot \left(\sqrt{7.5} \cdot \frac{\sqrt{\pi \cdot 2} \cdot e^{-7.5}}{z}\right)
\end{array}
Initial program 95.8%
Simplified94.6%
Taylor expanded in z around 0 91.9%
*-commutative91.9%
associate-/l*91.6%
Simplified91.6%
Taylor expanded in z around 0 94.4%
pow194.4%
associate-*r/94.3%
sqrt-prod94.0%
*-commutative94.0%
Applied egg-rr94.0%
unpow194.0%
associate-/r/94.0%
associate-*r*93.9%
Simplified93.9%
associate-*l/94.0%
*-commutative94.0%
Applied egg-rr94.0%
Final simplification94.0%
(FPCore (z) :precision binary64 (* (/ (sqrt (* PI 2.0)) z) (* 263.3831869810514 (* (exp -7.5) (sqrt 7.5)))))
double code(double z) {
return (sqrt((((double) M_PI) * 2.0)) / z) * (263.3831869810514 * (exp(-7.5) * sqrt(7.5)));
}
public static double code(double z) {
return (Math.sqrt((Math.PI * 2.0)) / z) * (263.3831869810514 * (Math.exp(-7.5) * Math.sqrt(7.5)));
}
def code(z): return (math.sqrt((math.pi * 2.0)) / z) * (263.3831869810514 * (math.exp(-7.5) * math.sqrt(7.5)))
function code(z) return Float64(Float64(sqrt(Float64(pi * 2.0)) / z) * Float64(263.3831869810514 * Float64(exp(-7.5) * sqrt(7.5)))) end
function tmp = code(z) tmp = (sqrt((pi * 2.0)) / z) * (263.3831869810514 * (exp(-7.5) * sqrt(7.5))); end
code[z_] := N[(N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] / z), $MachinePrecision] * N[(263.3831869810514 * N[(N[Exp[-7.5], $MachinePrecision] * N[Sqrt[7.5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\sqrt{\pi \cdot 2}}{z} \cdot \left(263.3831869810514 \cdot \left(e^{-7.5} \cdot \sqrt{7.5}\right)\right)
\end{array}
Initial program 95.8%
Simplified94.6%
Taylor expanded in z around 0 91.9%
*-commutative91.9%
associate-/l*91.6%
Simplified91.6%
Taylor expanded in z around 0 94.4%
pow194.4%
associate-*r/94.3%
sqrt-prod94.0%
*-commutative94.0%
Applied egg-rr94.0%
unpow194.0%
associate-/r/94.0%
associate-*r*93.9%
Simplified93.9%
add-log-exp5.5%
associate-*l*5.5%
associate-/r/5.5%
*-un-lft-identity5.5%
log-prod5.5%
metadata-eval5.5%
add-log-exp94.0%
associate-/r/94.0%
*-commutative94.0%
Applied egg-rr94.0%
+-lft-identity94.0%
*-commutative94.0%
associate-*l*94.3%
*-commutative94.3%
*-commutative94.3%
Simplified94.3%
Final simplification94.3%
herbie shell --seed 2023264
(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))))))