
(FPCore (z)
:precision binary64
(let* ((t_0 (- (- 1.0 z) 1.0)) (t_1 (+ t_0 7.0)) (t_2 (+ t_1 0.5)))
(*
(/ PI (sin (* PI z)))
(*
(* (* (sqrt (* PI 2.0)) (pow t_2 (+ t_0 0.5))) (exp (- t_2)))
(+
(+
(+
(+
(+
(+
(+
(+ 0.9999999999998099 (/ 676.5203681218851 (+ t_0 1.0)))
(/ -1259.1392167224028 (+ t_0 2.0)))
(/ 771.3234287776531 (+ t_0 3.0)))
(/ -176.6150291621406 (+ t_0 4.0)))
(/ 12.507343278686905 (+ t_0 5.0)))
(/ -0.13857109526572012 (+ t_0 6.0)))
(/ 9.984369578019572e-6 t_1))
(/ 1.5056327351493116e-7 (+ t_0 8.0)))))))
double code(double z) {
double t_0 = (1.0 - z) - 1.0;
double t_1 = t_0 + 7.0;
double t_2 = t_1 + 0.5;
return (((double) M_PI) / sin((((double) M_PI) * z))) * (((sqrt((((double) M_PI) * 2.0)) * pow(t_2, (t_0 + 0.5))) * exp(-t_2)) * ((((((((0.9999999999998099 + (676.5203681218851 / (t_0 + 1.0))) + (-1259.1392167224028 / (t_0 + 2.0))) + (771.3234287776531 / (t_0 + 3.0))) + (-176.6150291621406 / (t_0 + 4.0))) + (12.507343278686905 / (t_0 + 5.0))) + (-0.13857109526572012 / (t_0 + 6.0))) + (9.984369578019572e-6 / t_1)) + (1.5056327351493116e-7 / (t_0 + 8.0))));
}
public static double code(double z) {
double t_0 = (1.0 - z) - 1.0;
double t_1 = t_0 + 7.0;
double t_2 = t_1 + 0.5;
return (Math.PI / Math.sin((Math.PI * z))) * (((Math.sqrt((Math.PI * 2.0)) * Math.pow(t_2, (t_0 + 0.5))) * Math.exp(-t_2)) * ((((((((0.9999999999998099 + (676.5203681218851 / (t_0 + 1.0))) + (-1259.1392167224028 / (t_0 + 2.0))) + (771.3234287776531 / (t_0 + 3.0))) + (-176.6150291621406 / (t_0 + 4.0))) + (12.507343278686905 / (t_0 + 5.0))) + (-0.13857109526572012 / (t_0 + 6.0))) + (9.984369578019572e-6 / t_1)) + (1.5056327351493116e-7 / (t_0 + 8.0))));
}
def code(z): t_0 = (1.0 - z) - 1.0 t_1 = t_0 + 7.0 t_2 = t_1 + 0.5 return (math.pi / math.sin((math.pi * z))) * (((math.sqrt((math.pi * 2.0)) * math.pow(t_2, (t_0 + 0.5))) * math.exp(-t_2)) * ((((((((0.9999999999998099 + (676.5203681218851 / (t_0 + 1.0))) + (-1259.1392167224028 / (t_0 + 2.0))) + (771.3234287776531 / (t_0 + 3.0))) + (-176.6150291621406 / (t_0 + 4.0))) + (12.507343278686905 / (t_0 + 5.0))) + (-0.13857109526572012 / (t_0 + 6.0))) + (9.984369578019572e-6 / t_1)) + (1.5056327351493116e-7 / (t_0 + 8.0))))
function code(z) t_0 = Float64(Float64(1.0 - z) - 1.0) t_1 = Float64(t_0 + 7.0) t_2 = Float64(t_1 + 0.5) return Float64(Float64(pi / sin(Float64(pi * z))) * Float64(Float64(Float64(sqrt(Float64(pi * 2.0)) * (t_2 ^ Float64(t_0 + 0.5))) * exp(Float64(-t_2))) * Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(0.9999999999998099 + Float64(676.5203681218851 / Float64(t_0 + 1.0))) + Float64(-1259.1392167224028 / Float64(t_0 + 2.0))) + Float64(771.3234287776531 / Float64(t_0 + 3.0))) + Float64(-176.6150291621406 / Float64(t_0 + 4.0))) + Float64(12.507343278686905 / Float64(t_0 + 5.0))) + Float64(-0.13857109526572012 / Float64(t_0 + 6.0))) + Float64(9.984369578019572e-6 / t_1)) + Float64(1.5056327351493116e-7 / Float64(t_0 + 8.0))))) end
function tmp = code(z) t_0 = (1.0 - z) - 1.0; t_1 = t_0 + 7.0; t_2 = t_1 + 0.5; tmp = (pi / sin((pi * z))) * (((sqrt((pi * 2.0)) * (t_2 ^ (t_0 + 0.5))) * exp(-t_2)) * ((((((((0.9999999999998099 + (676.5203681218851 / (t_0 + 1.0))) + (-1259.1392167224028 / (t_0 + 2.0))) + (771.3234287776531 / (t_0 + 3.0))) + (-176.6150291621406 / (t_0 + 4.0))) + (12.507343278686905 / (t_0 + 5.0))) + (-0.13857109526572012 / (t_0 + 6.0))) + (9.984369578019572e-6 / t_1)) + (1.5056327351493116e-7 / (t_0 + 8.0)))); end
code[z_] := Block[{t$95$0 = N[(N[(1.0 - z), $MachinePrecision] - 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(t$95$0 + 7.0), $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 + 0.5), $MachinePrecision]}, N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[Power[t$95$2, N[(t$95$0 + 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Exp[(-t$95$2)], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(N[(N[(N[(N[(0.9999999999998099 + N[(676.5203681218851 / N[(t$95$0 + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-1259.1392167224028 / N[(t$95$0 + 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(771.3234287776531 / N[(t$95$0 + 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-176.6150291621406 / N[(t$95$0 + 4.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(12.507343278686905 / N[(t$95$0 + 5.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(t$95$0 + 6.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(9.984369578019572e-6 / t$95$1), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(t$95$0 + 8.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(1 - z\right) - 1\\
t_1 := t\_0 + 7\\
t_2 := t\_1 + 0.5\\
\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\sqrt{\pi \cdot 2} \cdot {t\_2}^{\left(t\_0 + 0.5\right)}\right) \cdot e^{-t\_2}\right) \cdot \left(\left(\left(\left(\left(\left(\left(\left(0.9999999999998099 + \frac{676.5203681218851}{t\_0 + 1}\right) + \frac{-1259.1392167224028}{t\_0 + 2}\right) + \frac{771.3234287776531}{t\_0 + 3}\right) + \frac{-176.6150291621406}{t\_0 + 4}\right) + \frac{12.507343278686905}{t\_0 + 5}\right) + \frac{-0.13857109526572012}{t\_0 + 6}\right) + \frac{9.984369578019572 \cdot 10^{-6}}{t\_1}\right) + \frac{1.5056327351493116 \cdot 10^{-7}}{t\_0 + 8}\right)\right)
\end{array}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 14 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (z)
:precision binary64
(let* ((t_0 (- (- 1.0 z) 1.0)) (t_1 (+ t_0 7.0)) (t_2 (+ t_1 0.5)))
(*
(/ PI (sin (* PI z)))
(*
(* (* (sqrt (* PI 2.0)) (pow t_2 (+ t_0 0.5))) (exp (- t_2)))
(+
(+
(+
(+
(+
(+
(+
(+ 0.9999999999998099 (/ 676.5203681218851 (+ t_0 1.0)))
(/ -1259.1392167224028 (+ t_0 2.0)))
(/ 771.3234287776531 (+ t_0 3.0)))
(/ -176.6150291621406 (+ t_0 4.0)))
(/ 12.507343278686905 (+ t_0 5.0)))
(/ -0.13857109526572012 (+ t_0 6.0)))
(/ 9.984369578019572e-6 t_1))
(/ 1.5056327351493116e-7 (+ t_0 8.0)))))))
double code(double z) {
double t_0 = (1.0 - z) - 1.0;
double t_1 = t_0 + 7.0;
double t_2 = t_1 + 0.5;
return (((double) M_PI) / sin((((double) M_PI) * z))) * (((sqrt((((double) M_PI) * 2.0)) * pow(t_2, (t_0 + 0.5))) * exp(-t_2)) * ((((((((0.9999999999998099 + (676.5203681218851 / (t_0 + 1.0))) + (-1259.1392167224028 / (t_0 + 2.0))) + (771.3234287776531 / (t_0 + 3.0))) + (-176.6150291621406 / (t_0 + 4.0))) + (12.507343278686905 / (t_0 + 5.0))) + (-0.13857109526572012 / (t_0 + 6.0))) + (9.984369578019572e-6 / t_1)) + (1.5056327351493116e-7 / (t_0 + 8.0))));
}
public static double code(double z) {
double t_0 = (1.0 - z) - 1.0;
double t_1 = t_0 + 7.0;
double t_2 = t_1 + 0.5;
return (Math.PI / Math.sin((Math.PI * z))) * (((Math.sqrt((Math.PI * 2.0)) * Math.pow(t_2, (t_0 + 0.5))) * Math.exp(-t_2)) * ((((((((0.9999999999998099 + (676.5203681218851 / (t_0 + 1.0))) + (-1259.1392167224028 / (t_0 + 2.0))) + (771.3234287776531 / (t_0 + 3.0))) + (-176.6150291621406 / (t_0 + 4.0))) + (12.507343278686905 / (t_0 + 5.0))) + (-0.13857109526572012 / (t_0 + 6.0))) + (9.984369578019572e-6 / t_1)) + (1.5056327351493116e-7 / (t_0 + 8.0))));
}
def code(z): t_0 = (1.0 - z) - 1.0 t_1 = t_0 + 7.0 t_2 = t_1 + 0.5 return (math.pi / math.sin((math.pi * z))) * (((math.sqrt((math.pi * 2.0)) * math.pow(t_2, (t_0 + 0.5))) * math.exp(-t_2)) * ((((((((0.9999999999998099 + (676.5203681218851 / (t_0 + 1.0))) + (-1259.1392167224028 / (t_0 + 2.0))) + (771.3234287776531 / (t_0 + 3.0))) + (-176.6150291621406 / (t_0 + 4.0))) + (12.507343278686905 / (t_0 + 5.0))) + (-0.13857109526572012 / (t_0 + 6.0))) + (9.984369578019572e-6 / t_1)) + (1.5056327351493116e-7 / (t_0 + 8.0))))
function code(z) t_0 = Float64(Float64(1.0 - z) - 1.0) t_1 = Float64(t_0 + 7.0) t_2 = Float64(t_1 + 0.5) return Float64(Float64(pi / sin(Float64(pi * z))) * Float64(Float64(Float64(sqrt(Float64(pi * 2.0)) * (t_2 ^ Float64(t_0 + 0.5))) * exp(Float64(-t_2))) * Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(0.9999999999998099 + Float64(676.5203681218851 / Float64(t_0 + 1.0))) + Float64(-1259.1392167224028 / Float64(t_0 + 2.0))) + Float64(771.3234287776531 / Float64(t_0 + 3.0))) + Float64(-176.6150291621406 / Float64(t_0 + 4.0))) + Float64(12.507343278686905 / Float64(t_0 + 5.0))) + Float64(-0.13857109526572012 / Float64(t_0 + 6.0))) + Float64(9.984369578019572e-6 / t_1)) + Float64(1.5056327351493116e-7 / Float64(t_0 + 8.0))))) end
function tmp = code(z) t_0 = (1.0 - z) - 1.0; t_1 = t_0 + 7.0; t_2 = t_1 + 0.5; tmp = (pi / sin((pi * z))) * (((sqrt((pi * 2.0)) * (t_2 ^ (t_0 + 0.5))) * exp(-t_2)) * ((((((((0.9999999999998099 + (676.5203681218851 / (t_0 + 1.0))) + (-1259.1392167224028 / (t_0 + 2.0))) + (771.3234287776531 / (t_0 + 3.0))) + (-176.6150291621406 / (t_0 + 4.0))) + (12.507343278686905 / (t_0 + 5.0))) + (-0.13857109526572012 / (t_0 + 6.0))) + (9.984369578019572e-6 / t_1)) + (1.5056327351493116e-7 / (t_0 + 8.0)))); end
code[z_] := Block[{t$95$0 = N[(N[(1.0 - z), $MachinePrecision] - 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(t$95$0 + 7.0), $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 + 0.5), $MachinePrecision]}, N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[Power[t$95$2, N[(t$95$0 + 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Exp[(-t$95$2)], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(N[(N[(N[(N[(0.9999999999998099 + N[(676.5203681218851 / N[(t$95$0 + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-1259.1392167224028 / N[(t$95$0 + 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(771.3234287776531 / N[(t$95$0 + 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-176.6150291621406 / N[(t$95$0 + 4.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(12.507343278686905 / N[(t$95$0 + 5.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(t$95$0 + 6.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(9.984369578019572e-6 / t$95$1), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(t$95$0 + 8.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(1 - z\right) - 1\\
t_1 := t\_0 + 7\\
t_2 := t\_1 + 0.5\\
\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\sqrt{\pi \cdot 2} \cdot {t\_2}^{\left(t\_0 + 0.5\right)}\right) \cdot e^{-t\_2}\right) \cdot \left(\left(\left(\left(\left(\left(\left(\left(0.9999999999998099 + \frac{676.5203681218851}{t\_0 + 1}\right) + \frac{-1259.1392167224028}{t\_0 + 2}\right) + \frac{771.3234287776531}{t\_0 + 3}\right) + \frac{-176.6150291621406}{t\_0 + 4}\right) + \frac{12.507343278686905}{t\_0 + 5}\right) + \frac{-0.13857109526572012}{t\_0 + 6}\right) + \frac{9.984369578019572 \cdot 10^{-6}}{t\_1}\right) + \frac{1.5056327351493116 \cdot 10^{-7}}{t\_0 + 8}\right)\right)
\end{array}
\end{array}
(FPCore (z)
:precision binary64
(let* ((t_0
(*
(/ PI (sin (* PI z)))
(+
(+
(+
(/ 9.984369578019572e-6 (- 7.0 z))
(/ 1.5056327351493116e-7 (- 8.0 z)))
(+
(+
(/ 676.5203681218851 (- 1.0 z))
(/ -1259.1392167224028 (- 2.0 z)))
(+ 0.9999999999998099 (/ 771.3234287776531 (- 3.0 z)))))
(+
(/ -0.13857109526572012 (- 6.0 z))
(+
(/ -176.6150291621406 (- 4.0 z))
(/ 12.507343278686905 (- 5.0 z)))))))
(t_1 (sqrt (* PI 2.0))))
(if (<= z -6e-16)
(* (* t_1 (exp (+ z (- (* (- 0.5 z) (log (- 7.5 z))) 7.5)))) t_0)
(if (<= z 1.4e-16)
(*
263.3831869810514
(/ (* (* (sqrt PI) (exp -7.5)) (* (sqrt 2.0) (sqrt 7.5))) z))
(* t_0 (* t_1 (* (pow (- 7.5 z) (- 0.5 z)) (exp (+ z -7.5)))))))))
double code(double z) {
double t_0 = (((double) M_PI) / sin((((double) M_PI) * z))) * ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + (((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z))) + (0.9999999999998099 + (771.3234287776531 / (3.0 - z))))) + ((-0.13857109526572012 / (6.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z)))));
double t_1 = sqrt((((double) M_PI) * 2.0));
double tmp;
if (z <= -6e-16) {
tmp = (t_1 * exp((z + (((0.5 - z) * log((7.5 - z))) - 7.5)))) * t_0;
} else if (z <= 1.4e-16) {
tmp = 263.3831869810514 * (((sqrt(((double) M_PI)) * exp(-7.5)) * (sqrt(2.0) * sqrt(7.5))) / z);
} else {
tmp = t_0 * (t_1 * (pow((7.5 - z), (0.5 - z)) * exp((z + -7.5))));
}
return tmp;
}
public static double code(double z) {
double t_0 = (Math.PI / Math.sin((Math.PI * z))) * ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + (((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z))) + (0.9999999999998099 + (771.3234287776531 / (3.0 - z))))) + ((-0.13857109526572012 / (6.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z)))));
double t_1 = Math.sqrt((Math.PI * 2.0));
double tmp;
if (z <= -6e-16) {
tmp = (t_1 * Math.exp((z + (((0.5 - z) * Math.log((7.5 - z))) - 7.5)))) * t_0;
} else if (z <= 1.4e-16) {
tmp = 263.3831869810514 * (((Math.sqrt(Math.PI) * Math.exp(-7.5)) * (Math.sqrt(2.0) * Math.sqrt(7.5))) / z);
} else {
tmp = t_0 * (t_1 * (Math.pow((7.5 - z), (0.5 - z)) * Math.exp((z + -7.5))));
}
return tmp;
}
def code(z): t_0 = (math.pi / math.sin((math.pi * z))) * ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + (((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z))) + (0.9999999999998099 + (771.3234287776531 / (3.0 - z))))) + ((-0.13857109526572012 / (6.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z))))) t_1 = math.sqrt((math.pi * 2.0)) tmp = 0 if z <= -6e-16: tmp = (t_1 * math.exp((z + (((0.5 - z) * math.log((7.5 - z))) - 7.5)))) * t_0 elif z <= 1.4e-16: tmp = 263.3831869810514 * (((math.sqrt(math.pi) * math.exp(-7.5)) * (math.sqrt(2.0) * math.sqrt(7.5))) / z) else: tmp = t_0 * (t_1 * (math.pow((7.5 - z), (0.5 - z)) * math.exp((z + -7.5)))) return tmp
function code(z) t_0 = Float64(Float64(pi / sin(Float64(pi * z))) * Float64(Float64(Float64(Float64(9.984369578019572e-6 / Float64(7.0 - z)) + Float64(1.5056327351493116e-7 / Float64(8.0 - z))) + Float64(Float64(Float64(676.5203681218851 / Float64(1.0 - z)) + Float64(-1259.1392167224028 / Float64(2.0 - z))) + Float64(0.9999999999998099 + Float64(771.3234287776531 / Float64(3.0 - z))))) + Float64(Float64(-0.13857109526572012 / Float64(6.0 - z)) + Float64(Float64(-176.6150291621406 / Float64(4.0 - z)) + Float64(12.507343278686905 / Float64(5.0 - z)))))) t_1 = sqrt(Float64(pi * 2.0)) tmp = 0.0 if (z <= -6e-16) tmp = Float64(Float64(t_1 * exp(Float64(z + Float64(Float64(Float64(0.5 - z) * log(Float64(7.5 - z))) - 7.5)))) * t_0); elseif (z <= 1.4e-16) tmp = Float64(263.3831869810514 * Float64(Float64(Float64(sqrt(pi) * exp(-7.5)) * Float64(sqrt(2.0) * sqrt(7.5))) / z)); else tmp = Float64(t_0 * Float64(t_1 * Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * exp(Float64(z + -7.5))))); end return tmp end
function tmp_2 = code(z) t_0 = (pi / sin((pi * z))) * ((((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))) + (((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / (2.0 - z))) + (0.9999999999998099 + (771.3234287776531 / (3.0 - z))))) + ((-0.13857109526572012 / (6.0 - z)) + ((-176.6150291621406 / (4.0 - z)) + (12.507343278686905 / (5.0 - z))))); t_1 = sqrt((pi * 2.0)); tmp = 0.0; if (z <= -6e-16) tmp = (t_1 * exp((z + (((0.5 - z) * log((7.5 - z))) - 7.5)))) * t_0; elseif (z <= 1.4e-16) tmp = 263.3831869810514 * (((sqrt(pi) * exp(-7.5)) * (sqrt(2.0) * sqrt(7.5))) / z); else tmp = t_0 * (t_1 * (((7.5 - z) ^ (0.5 - z)) * exp((z + -7.5)))); end tmp_2 = tmp; end
code[z_] := Block[{t$95$0 = N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(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[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.9999999999998099 + N[(771.3234287776531 / N[(3.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(-0.13857109526572012 / N[(6.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(-176.6150291621406 / N[(4.0 - z), $MachinePrecision]), $MachinePrecision] + N[(12.507343278686905 / N[(5.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[z, -6e-16], N[(N[(t$95$1 * N[Exp[N[(z + N[(N[(N[(0.5 - z), $MachinePrecision] * N[Log[N[(7.5 - z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - 7.5), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision], If[LessEqual[z, 1.4e-16], N[(263.3831869810514 * N[(N[(N[(N[Sqrt[Pi], $MachinePrecision] * N[Exp[-7.5], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[Sqrt[7.5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / z), $MachinePrecision]), $MachinePrecision], N[(t$95$0 * N[(t$95$1 * N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \frac{1.5056327351493116 \cdot 10^{-7}}{8 - z}\right) + \left(\left(\frac{676.5203681218851}{1 - z} + \frac{-1259.1392167224028}{2 - z}\right) + \left(0.9999999999998099 + \frac{771.3234287776531}{3 - z}\right)\right)\right) + \left(\frac{-0.13857109526572012}{6 - z} + \left(\frac{-176.6150291621406}{4 - z} + \frac{12.507343278686905}{5 - z}\right)\right)\right)\\
t_1 := \sqrt{\pi \cdot 2}\\
\mathbf{if}\;z \leq -6 \cdot 10^{-16}:\\
\;\;\;\;\left(t\_1 \cdot e^{z + \left(\left(0.5 - z\right) \cdot \log \left(7.5 - z\right) - 7.5\right)}\right) \cdot t\_0\\
\mathbf{elif}\;z \leq 1.4 \cdot 10^{-16}:\\
\;\;\;\;263.3831869810514 \cdot \frac{\left(\sqrt{\pi} \cdot e^{-7.5}\right) \cdot \left(\sqrt{2} \cdot \sqrt{7.5}\right)}{z}\\
\mathbf{else}:\\
\;\;\;\;t\_0 \cdot \left(t\_1 \cdot \left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot e^{z + -7.5}\right)\right)\\
\end{array}
\end{array}
if z < -5.99999999999999987e-16Initial program 86.3%
Simplified86.7%
add-exp-log86.4%
*-commutative86.4%
log-prod86.2%
add-log-exp97.4%
log-pow97.5%
neg-mul-197.5%
fma-define97.5%
Applied egg-rr97.5%
Taylor expanded in z around inf 97.4%
associate--l+97.5%
*-commutative97.5%
Simplified97.5%
if -5.99999999999999987e-16 < z < 1.4000000000000001e-16Initial program 97.3%
Simplified97.5%
Taylor expanded in z around 0 99.1%
*-commutative99.1%
Simplified99.1%
Taylor expanded in z around 0 98.7%
Taylor expanded in z around 0 98.8%
Taylor expanded in z around 0 98.9%
associate-*l/98.8%
*-commutative98.8%
associate-*r*99.6%
Simplified99.6%
if 1.4000000000000001e-16 < z Initial program 97.9%
Simplified97.4%
Taylor expanded in z around inf 97.4%
exp-to-pow97.4%
sub-neg97.4%
metadata-eval97.4%
+-commutative97.4%
Simplified97.4%
Final simplification99.4%
(FPCore (z)
:precision binary64
(*
(*
(* (cbrt (pow PI 1.5)) (sqrt 2.0))
(* (pow (+ (- 1.0 z) 6.5) (- -0.5 (+ z -1.0))) (exp (- (+ z -1.0) 6.5))))
(*
(+
(+
(+
(/ -1259.1392167224028 (+ 1.0 (- 1.0 z)))
(+
(- 0.9999999999998099 (/ 676.5203681218851 (+ z -1.0)))
(/ 771.3234287776531 (- 2.0 (+ z -1.0)))))
(/ -176.6150291621406 (- 3.0 (+ z -1.0))))
(+
(+
(/ 12.507343278686905 (- 4.0 (+ z -1.0)))
(/ -0.13857109526572012 (+ (- 1.0 z) 5.0)))
(+
(/ 9.984369578019572e-6 (- 6.0 (+ z -1.0)))
(/ 1.5056327351493116e-7 (+ (- 1.0 z) 7.0)))))
(/ PI (sin (* PI z))))))
double code(double z) {
return ((cbrt(pow(((double) M_PI), 1.5)) * sqrt(2.0)) * (pow(((1.0 - z) + 6.5), (-0.5 - (z + -1.0))) * exp(((z + -1.0) - 6.5)))) * (((((-1259.1392167224028 / (1.0 + (1.0 - z))) + ((0.9999999999998099 - (676.5203681218851 / (z + -1.0))) + (771.3234287776531 / (2.0 - (z + -1.0))))) + (-176.6150291621406 / (3.0 - (z + -1.0)))) + (((12.507343278686905 / (4.0 - (z + -1.0))) + (-0.13857109526572012 / ((1.0 - z) + 5.0))) + ((9.984369578019572e-6 / (6.0 - (z + -1.0))) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0))))) * (((double) M_PI) / sin((((double) M_PI) * z))));
}
public static double code(double z) {
return ((Math.cbrt(Math.pow(Math.PI, 1.5)) * Math.sqrt(2.0)) * (Math.pow(((1.0 - z) + 6.5), (-0.5 - (z + -1.0))) * Math.exp(((z + -1.0) - 6.5)))) * (((((-1259.1392167224028 / (1.0 + (1.0 - z))) + ((0.9999999999998099 - (676.5203681218851 / (z + -1.0))) + (771.3234287776531 / (2.0 - (z + -1.0))))) + (-176.6150291621406 / (3.0 - (z + -1.0)))) + (((12.507343278686905 / (4.0 - (z + -1.0))) + (-0.13857109526572012 / ((1.0 - z) + 5.0))) + ((9.984369578019572e-6 / (6.0 - (z + -1.0))) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0))))) * (Math.PI / Math.sin((Math.PI * z))));
}
function code(z) return Float64(Float64(Float64(cbrt((pi ^ 1.5)) * sqrt(2.0)) * Float64((Float64(Float64(1.0 - z) + 6.5) ^ Float64(-0.5 - Float64(z + -1.0))) * exp(Float64(Float64(z + -1.0) - 6.5)))) * Float64(Float64(Float64(Float64(Float64(-1259.1392167224028 / Float64(1.0 + Float64(1.0 - z))) + Float64(Float64(0.9999999999998099 - Float64(676.5203681218851 / Float64(z + -1.0))) + Float64(771.3234287776531 / Float64(2.0 - Float64(z + -1.0))))) + Float64(-176.6150291621406 / Float64(3.0 - Float64(z + -1.0)))) + Float64(Float64(Float64(12.507343278686905 / Float64(4.0 - Float64(z + -1.0))) + Float64(-0.13857109526572012 / Float64(Float64(1.0 - z) + 5.0))) + Float64(Float64(9.984369578019572e-6 / Float64(6.0 - Float64(z + -1.0))) + Float64(1.5056327351493116e-7 / Float64(Float64(1.0 - z) + 7.0))))) * Float64(pi / sin(Float64(pi * z))))) end
code[z_] := N[(N[(N[(N[Power[N[Power[Pi, 1.5], $MachinePrecision], 1/3], $MachinePrecision] * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[(N[(1.0 - z), $MachinePrecision] + 6.5), $MachinePrecision], N[(-0.5 - N[(z + -1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(N[(z + -1.0), $MachinePrecision] - 6.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(N[(-1259.1392167224028 / N[(1.0 + N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(0.9999999999998099 - N[(676.5203681218851 / N[(z + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(771.3234287776531 / N[(2.0 - N[(z + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-176.6150291621406 / N[(3.0 - N[(z + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(12.507343278686905 / N[(4.0 - N[(z + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(N[(1.0 - z), $MachinePrecision] + 5.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(9.984369578019572e-6 / N[(6.0 - N[(z + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(N[(1.0 - z), $MachinePrecision] + 7.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\sqrt[3]{{\pi}^{1.5}} \cdot \sqrt{2}\right) \cdot \left({\left(\left(1 - z\right) + 6.5\right)}^{\left(-0.5 - \left(z + -1\right)\right)} \cdot e^{\left(z + -1\right) - 6.5}\right)\right) \cdot \left(\left(\left(\left(\frac{-1259.1392167224028}{1 + \left(1 - z\right)} + \left(\left(0.9999999999998099 - \frac{676.5203681218851}{z + -1}\right) + \frac{771.3234287776531}{2 - \left(z + -1\right)}\right)\right) + \frac{-176.6150291621406}{3 - \left(z + -1\right)}\right) + \left(\left(\frac{12.507343278686905}{4 - \left(z + -1\right)} + \frac{-0.13857109526572012}{\left(1 - z\right) + 5}\right) + \left(\frac{9.984369578019572 \cdot 10^{-6}}{6 - \left(z + -1\right)} + \frac{1.5056327351493116 \cdot 10^{-7}}{\left(1 - z\right) + 7}\right)\right)\right) \cdot \frac{\pi}{\sin \left(\pi \cdot z\right)}\right)
\end{array}
Initial program 97.0%
Simplified97.1%
sqrt-prod98.3%
Applied egg-rr98.3%
add-cbrt-cube98.3%
pow1/398.3%
add-sqr-sqrt98.3%
pow198.3%
pow1/298.3%
pow-prod-up98.3%
metadata-eval98.3%
Applied egg-rr98.3%
unpow1/399.0%
Simplified99.0%
Final simplification99.0%
(FPCore (z)
:precision binary64
(*
(*
(* (pow (+ (- 1.0 z) 6.5) (- -0.5 (+ z -1.0))) (exp (- (+ z -1.0) 6.5)))
(sqrt (* PI 2.0)))
(*
(/ PI (sin (* PI z)))
(+
(+
(+
(/ 12.507343278686905 (- 4.0 (+ z -1.0)))
(/ -0.13857109526572012 (+ (- 1.0 z) 5.0)))
(+
(/ 9.984369578019572e-6 (- 6.0 (+ z -1.0)))
(/ 1.5056327351493116e-7 (+ (- 1.0 z) 7.0))))
(+
(/ -176.6150291621406 (- 3.0 (+ z -1.0)))
(+
0.9999999999998099
(-
(/ 676.5203681218851 (- 1.0 z))
(-
(/ -1259.1392167224028 (- z 2.0))
(/ 771.3234287776531 (- 3.0 z))))))))))
double code(double z) {
return ((pow(((1.0 - z) + 6.5), (-0.5 - (z + -1.0))) * exp(((z + -1.0) - 6.5))) * sqrt((((double) M_PI) * 2.0))) * ((((double) M_PI) / sin((((double) M_PI) * z))) * ((((12.507343278686905 / (4.0 - (z + -1.0))) + (-0.13857109526572012 / ((1.0 - z) + 5.0))) + ((9.984369578019572e-6 / (6.0 - (z + -1.0))) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))) + ((-176.6150291621406 / (3.0 - (z + -1.0))) + (0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) - ((-1259.1392167224028 / (z - 2.0)) - (771.3234287776531 / (3.0 - z))))))));
}
public static double code(double z) {
return ((Math.pow(((1.0 - z) + 6.5), (-0.5 - (z + -1.0))) * Math.exp(((z + -1.0) - 6.5))) * Math.sqrt((Math.PI * 2.0))) * ((Math.PI / Math.sin((Math.PI * z))) * ((((12.507343278686905 / (4.0 - (z + -1.0))) + (-0.13857109526572012 / ((1.0 - z) + 5.0))) + ((9.984369578019572e-6 / (6.0 - (z + -1.0))) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))) + ((-176.6150291621406 / (3.0 - (z + -1.0))) + (0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) - ((-1259.1392167224028 / (z - 2.0)) - (771.3234287776531 / (3.0 - z))))))));
}
def code(z): return ((math.pow(((1.0 - z) + 6.5), (-0.5 - (z + -1.0))) * math.exp(((z + -1.0) - 6.5))) * math.sqrt((math.pi * 2.0))) * ((math.pi / math.sin((math.pi * z))) * ((((12.507343278686905 / (4.0 - (z + -1.0))) + (-0.13857109526572012 / ((1.0 - z) + 5.0))) + ((9.984369578019572e-6 / (6.0 - (z + -1.0))) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))) + ((-176.6150291621406 / (3.0 - (z + -1.0))) + (0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) - ((-1259.1392167224028 / (z - 2.0)) - (771.3234287776531 / (3.0 - z))))))))
function code(z) return Float64(Float64(Float64((Float64(Float64(1.0 - z) + 6.5) ^ Float64(-0.5 - Float64(z + -1.0))) * exp(Float64(Float64(z + -1.0) - 6.5))) * sqrt(Float64(pi * 2.0))) * Float64(Float64(pi / sin(Float64(pi * z))) * Float64(Float64(Float64(Float64(12.507343278686905 / Float64(4.0 - Float64(z + -1.0))) + Float64(-0.13857109526572012 / Float64(Float64(1.0 - z) + 5.0))) + Float64(Float64(9.984369578019572e-6 / Float64(6.0 - Float64(z + -1.0))) + Float64(1.5056327351493116e-7 / Float64(Float64(1.0 - z) + 7.0)))) + Float64(Float64(-176.6150291621406 / Float64(3.0 - Float64(z + -1.0))) + Float64(0.9999999999998099 + Float64(Float64(676.5203681218851 / Float64(1.0 - z)) - Float64(Float64(-1259.1392167224028 / Float64(z - 2.0)) - Float64(771.3234287776531 / Float64(3.0 - z))))))))) end
function tmp = code(z) tmp = (((((1.0 - z) + 6.5) ^ (-0.5 - (z + -1.0))) * exp(((z + -1.0) - 6.5))) * sqrt((pi * 2.0))) * ((pi / sin((pi * z))) * ((((12.507343278686905 / (4.0 - (z + -1.0))) + (-0.13857109526572012 / ((1.0 - z) + 5.0))) + ((9.984369578019572e-6 / (6.0 - (z + -1.0))) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))) + ((-176.6150291621406 / (3.0 - (z + -1.0))) + (0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) - ((-1259.1392167224028 / (z - 2.0)) - (771.3234287776531 / (3.0 - z)))))))); end
code[z_] := N[(N[(N[(N[Power[N[(N[(1.0 - z), $MachinePrecision] + 6.5), $MachinePrecision], N[(-0.5 - N[(z + -1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(N[(z + -1.0), $MachinePrecision] - 6.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(12.507343278686905 / N[(4.0 - N[(z + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(N[(1.0 - z), $MachinePrecision] + 5.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(9.984369578019572e-6 / N[(6.0 - N[(z + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(N[(1.0 - z), $MachinePrecision] + 7.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(-176.6150291621406 / N[(3.0 - N[(z + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.9999999999998099 + N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] - N[(N[(-1259.1392167224028 / N[(z - 2.0), $MachinePrecision]), $MachinePrecision] - N[(771.3234287776531 / N[(3.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left({\left(\left(1 - z\right) + 6.5\right)}^{\left(-0.5 - \left(z + -1\right)\right)} \cdot e^{\left(z + -1\right) - 6.5}\right) \cdot \sqrt{\pi \cdot 2}\right) \cdot \left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\frac{12.507343278686905}{4 - \left(z + -1\right)} + \frac{-0.13857109526572012}{\left(1 - z\right) + 5}\right) + \left(\frac{9.984369578019572 \cdot 10^{-6}}{6 - \left(z + -1\right)} + \frac{1.5056327351493116 \cdot 10^{-7}}{\left(1 - z\right) + 7}\right)\right) + \left(\frac{-176.6150291621406}{3 - \left(z + -1\right)} + \left(0.9999999999998099 + \left(\frac{676.5203681218851}{1 - z} - \left(\frac{-1259.1392167224028}{z - 2} - \frac{771.3234287776531}{3 - z}\right)\right)\right)\right)\right)\right)
\end{array}
Initial program 97.0%
Simplified97.1%
*-un-lft-identity97.1%
associate-+r+98.3%
Applied egg-rr98.6%
*-lft-identity98.6%
associate-+l+98.6%
associate-+l+98.6%
+-commutative98.6%
associate-+r-98.6%
metadata-eval98.6%
Simplified98.6%
Final simplification98.6%
(FPCore (z)
:precision binary64
(*
(*
(* (pow (+ (- 1.0 z) 6.5) (- -0.5 (+ z -1.0))) (exp (- (+ z -1.0) 6.5)))
(sqrt (* PI 2.0)))
(*
(/ PI (sin (* PI z)))
(+
(+
(+
(/ 12.507343278686905 (- 4.0 (+ z -1.0)))
(/ -0.13857109526572012 (+ (- 1.0 z) 5.0)))
(+
(/ 9.984369578019572e-6 (- 6.0 (+ z -1.0)))
(/ 1.5056327351493116e-7 (+ (- 1.0 z) 7.0))))
(+
(+
(/ 676.5203681218851 (- 1.0 z))
(+ 0.9999999999998099 (/ -1259.1392167224028 (- 2.0 z))))
(+ (/ 771.3234287776531 (- 3.0 z)) (/ -176.6150291621406 (- 4.0 z))))))))
double code(double z) {
return ((pow(((1.0 - z) + 6.5), (-0.5 - (z + -1.0))) * exp(((z + -1.0) - 6.5))) * sqrt((((double) M_PI) * 2.0))) * ((((double) M_PI) / sin((((double) M_PI) * z))) * ((((12.507343278686905 / (4.0 - (z + -1.0))) + (-0.13857109526572012 / ((1.0 - z) + 5.0))) + ((9.984369578019572e-6 / (6.0 - (z + -1.0))) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))) + (((676.5203681218851 / (1.0 - z)) + (0.9999999999998099 + (-1259.1392167224028 / (2.0 - z)))) + ((771.3234287776531 / (3.0 - z)) + (-176.6150291621406 / (4.0 - z))))));
}
public static double code(double z) {
return ((Math.pow(((1.0 - z) + 6.5), (-0.5 - (z + -1.0))) * Math.exp(((z + -1.0) - 6.5))) * Math.sqrt((Math.PI * 2.0))) * ((Math.PI / Math.sin((Math.PI * z))) * ((((12.507343278686905 / (4.0 - (z + -1.0))) + (-0.13857109526572012 / ((1.0 - z) + 5.0))) + ((9.984369578019572e-6 / (6.0 - (z + -1.0))) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))) + (((676.5203681218851 / (1.0 - z)) + (0.9999999999998099 + (-1259.1392167224028 / (2.0 - z)))) + ((771.3234287776531 / (3.0 - z)) + (-176.6150291621406 / (4.0 - z))))));
}
def code(z): return ((math.pow(((1.0 - z) + 6.5), (-0.5 - (z + -1.0))) * math.exp(((z + -1.0) - 6.5))) * math.sqrt((math.pi * 2.0))) * ((math.pi / math.sin((math.pi * z))) * ((((12.507343278686905 / (4.0 - (z + -1.0))) + (-0.13857109526572012 / ((1.0 - z) + 5.0))) + ((9.984369578019572e-6 / (6.0 - (z + -1.0))) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))) + (((676.5203681218851 / (1.0 - z)) + (0.9999999999998099 + (-1259.1392167224028 / (2.0 - z)))) + ((771.3234287776531 / (3.0 - z)) + (-176.6150291621406 / (4.0 - z))))))
function code(z) return Float64(Float64(Float64((Float64(Float64(1.0 - z) + 6.5) ^ Float64(-0.5 - Float64(z + -1.0))) * exp(Float64(Float64(z + -1.0) - 6.5))) * sqrt(Float64(pi * 2.0))) * Float64(Float64(pi / sin(Float64(pi * z))) * Float64(Float64(Float64(Float64(12.507343278686905 / Float64(4.0 - Float64(z + -1.0))) + Float64(-0.13857109526572012 / Float64(Float64(1.0 - z) + 5.0))) + Float64(Float64(9.984369578019572e-6 / Float64(6.0 - Float64(z + -1.0))) + Float64(1.5056327351493116e-7 / Float64(Float64(1.0 - z) + 7.0)))) + Float64(Float64(Float64(676.5203681218851 / Float64(1.0 - z)) + Float64(0.9999999999998099 + Float64(-1259.1392167224028 / Float64(2.0 - z)))) + Float64(Float64(771.3234287776531 / Float64(3.0 - z)) + Float64(-176.6150291621406 / Float64(4.0 - z))))))) end
function tmp = code(z) tmp = (((((1.0 - z) + 6.5) ^ (-0.5 - (z + -1.0))) * exp(((z + -1.0) - 6.5))) * sqrt((pi * 2.0))) * ((pi / sin((pi * z))) * ((((12.507343278686905 / (4.0 - (z + -1.0))) + (-0.13857109526572012 / ((1.0 - z) + 5.0))) + ((9.984369578019572e-6 / (6.0 - (z + -1.0))) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))) + (((676.5203681218851 / (1.0 - z)) + (0.9999999999998099 + (-1259.1392167224028 / (2.0 - z)))) + ((771.3234287776531 / (3.0 - z)) + (-176.6150291621406 / (4.0 - z)))))); end
code[z_] := N[(N[(N[(N[Power[N[(N[(1.0 - z), $MachinePrecision] + 6.5), $MachinePrecision], N[(-0.5 - N[(z + -1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(N[(z + -1.0), $MachinePrecision] - 6.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(12.507343278686905 / N[(4.0 - N[(z + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(N[(1.0 - z), $MachinePrecision] + 5.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(9.984369578019572e-6 / N[(6.0 - N[(z + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(N[(1.0 - z), $MachinePrecision] + 7.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 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[(N[(771.3234287776531 / N[(3.0 - z), $MachinePrecision]), $MachinePrecision] + N[(-176.6150291621406 / N[(4.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left({\left(\left(1 - z\right) + 6.5\right)}^{\left(-0.5 - \left(z + -1\right)\right)} \cdot e^{\left(z + -1\right) - 6.5}\right) \cdot \sqrt{\pi \cdot 2}\right) \cdot \left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\frac{12.507343278686905}{4 - \left(z + -1\right)} + \frac{-0.13857109526572012}{\left(1 - z\right) + 5}\right) + \left(\frac{9.984369578019572 \cdot 10^{-6}}{6 - \left(z + -1\right)} + \frac{1.5056327351493116 \cdot 10^{-7}}{\left(1 - z\right) + 7}\right)\right) + \left(\left(\frac{676.5203681218851}{1 - z} + \left(0.9999999999998099 + \frac{-1259.1392167224028}{2 - z}\right)\right) + \left(\frac{771.3234287776531}{3 - z} + \frac{-176.6150291621406}{4 - z}\right)\right)\right)\right)
\end{array}
Initial program 97.0%
Simplified97.1%
Applied egg-rr98.6%
*-lft-identity98.6%
associate-+l+98.6%
+-commutative98.6%
associate-+l+98.6%
+-commutative98.6%
associate-+r-98.6%
metadata-eval98.6%
+-commutative98.6%
associate-+r-98.6%
metadata-eval98.6%
Simplified98.6%
Final simplification98.6%
(FPCore (z)
:precision binary64
(*
(*
(* (pow (+ (- 1.0 z) 6.5) (- -0.5 (+ z -1.0))) (exp (- (+ z -1.0) 6.5)))
(sqrt (* PI 2.0)))
(*
(/ PI (sin (* PI z)))
(+
(+ 260.9048120626994 (* z (+ 436.3997278161676 (* z 544.9358906000987))))
(+
2.4783749183520145
(*
z
(+
0.49644474017195733
(* z (+ 0.09941724278406093 (* z 0.01990483129967024))))))))))
double code(double z) {
return ((pow(((1.0 - z) + 6.5), (-0.5 - (z + -1.0))) * exp(((z + -1.0) - 6.5))) * sqrt((((double) M_PI) * 2.0))) * ((((double) M_PI) / sin((((double) M_PI) * z))) * ((260.9048120626994 + (z * (436.3997278161676 + (z * 544.9358906000987)))) + (2.4783749183520145 + (z * (0.49644474017195733 + (z * (0.09941724278406093 + (z * 0.01990483129967024))))))));
}
public static double code(double z) {
return ((Math.pow(((1.0 - z) + 6.5), (-0.5 - (z + -1.0))) * Math.exp(((z + -1.0) - 6.5))) * Math.sqrt((Math.PI * 2.0))) * ((Math.PI / Math.sin((Math.PI * z))) * ((260.9048120626994 + (z * (436.3997278161676 + (z * 544.9358906000987)))) + (2.4783749183520145 + (z * (0.49644474017195733 + (z * (0.09941724278406093 + (z * 0.01990483129967024))))))));
}
def code(z): return ((math.pow(((1.0 - z) + 6.5), (-0.5 - (z + -1.0))) * math.exp(((z + -1.0) - 6.5))) * math.sqrt((math.pi * 2.0))) * ((math.pi / math.sin((math.pi * z))) * ((260.9048120626994 + (z * (436.3997278161676 + (z * 544.9358906000987)))) + (2.4783749183520145 + (z * (0.49644474017195733 + (z * (0.09941724278406093 + (z * 0.01990483129967024))))))))
function code(z) return Float64(Float64(Float64((Float64(Float64(1.0 - z) + 6.5) ^ Float64(-0.5 - Float64(z + -1.0))) * exp(Float64(Float64(z + -1.0) - 6.5))) * sqrt(Float64(pi * 2.0))) * Float64(Float64(pi / sin(Float64(pi * z))) * Float64(Float64(260.9048120626994 + Float64(z * Float64(436.3997278161676 + Float64(z * 544.9358906000987)))) + Float64(2.4783749183520145 + Float64(z * Float64(0.49644474017195733 + Float64(z * Float64(0.09941724278406093 + Float64(z * 0.01990483129967024))))))))) end
function tmp = code(z) tmp = (((((1.0 - z) + 6.5) ^ (-0.5 - (z + -1.0))) * exp(((z + -1.0) - 6.5))) * sqrt((pi * 2.0))) * ((pi / sin((pi * z))) * ((260.9048120626994 + (z * (436.3997278161676 + (z * 544.9358906000987)))) + (2.4783749183520145 + (z * (0.49644474017195733 + (z * (0.09941724278406093 + (z * 0.01990483129967024)))))))); end
code[z_] := N[(N[(N[(N[Power[N[(N[(1.0 - z), $MachinePrecision] + 6.5), $MachinePrecision], N[(-0.5 - N[(z + -1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(N[(z + -1.0), $MachinePrecision] - 6.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(260.9048120626994 + N[(z * N[(436.3997278161676 + N[(z * 544.9358906000987), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(2.4783749183520145 + N[(z * N[(0.49644474017195733 + N[(z * N[(0.09941724278406093 + N[(z * 0.01990483129967024), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left({\left(\left(1 - z\right) + 6.5\right)}^{\left(-0.5 - \left(z + -1\right)\right)} \cdot e^{\left(z + -1\right) - 6.5}\right) \cdot \sqrt{\pi \cdot 2}\right) \cdot \left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(260.9048120626994 + z \cdot \left(436.3997278161676 + z \cdot 544.9358906000987\right)\right) + \left(2.4783749183520145 + z \cdot \left(0.49644474017195733 + z \cdot \left(0.09941724278406093 + z \cdot 0.01990483129967024\right)\right)\right)\right)\right)
\end{array}
Initial program 97.0%
Simplified97.1%
Taylor expanded in z around 0 97.5%
*-commutative97.5%
Simplified97.5%
Taylor expanded in z around 0 97.5%
*-commutative97.5%
Simplified97.5%
Final simplification97.5%
(FPCore (z)
:precision binary64
(*
(*
(* (pow (+ (- 1.0 z) 6.5) (- -0.5 (+ z -1.0))) (exp (- (+ z -1.0) 6.5)))
(sqrt (* PI 2.0)))
(*
(/ PI (sin (* PI z)))
(+
(+ 260.9048120626994 (* z (+ 436.3997278161676 (* z 544.9358906000987))))
(+
2.4783749183520145
(* z (+ 0.49644474017195733 (* z 0.09941724278406093))))))))
double code(double z) {
return ((pow(((1.0 - z) + 6.5), (-0.5 - (z + -1.0))) * exp(((z + -1.0) - 6.5))) * sqrt((((double) M_PI) * 2.0))) * ((((double) M_PI) / sin((((double) M_PI) * z))) * ((260.9048120626994 + (z * (436.3997278161676 + (z * 544.9358906000987)))) + (2.4783749183520145 + (z * (0.49644474017195733 + (z * 0.09941724278406093))))));
}
public static double code(double z) {
return ((Math.pow(((1.0 - z) + 6.5), (-0.5 - (z + -1.0))) * Math.exp(((z + -1.0) - 6.5))) * Math.sqrt((Math.PI * 2.0))) * ((Math.PI / Math.sin((Math.PI * z))) * ((260.9048120626994 + (z * (436.3997278161676 + (z * 544.9358906000987)))) + (2.4783749183520145 + (z * (0.49644474017195733 + (z * 0.09941724278406093))))));
}
def code(z): return ((math.pow(((1.0 - z) + 6.5), (-0.5 - (z + -1.0))) * math.exp(((z + -1.0) - 6.5))) * math.sqrt((math.pi * 2.0))) * ((math.pi / math.sin((math.pi * z))) * ((260.9048120626994 + (z * (436.3997278161676 + (z * 544.9358906000987)))) + (2.4783749183520145 + (z * (0.49644474017195733 + (z * 0.09941724278406093))))))
function code(z) return Float64(Float64(Float64((Float64(Float64(1.0 - z) + 6.5) ^ Float64(-0.5 - Float64(z + -1.0))) * exp(Float64(Float64(z + -1.0) - 6.5))) * sqrt(Float64(pi * 2.0))) * Float64(Float64(pi / sin(Float64(pi * z))) * Float64(Float64(260.9048120626994 + Float64(z * Float64(436.3997278161676 + Float64(z * 544.9358906000987)))) + Float64(2.4783749183520145 + Float64(z * Float64(0.49644474017195733 + Float64(z * 0.09941724278406093))))))) end
function tmp = code(z) tmp = (((((1.0 - z) + 6.5) ^ (-0.5 - (z + -1.0))) * exp(((z + -1.0) - 6.5))) * sqrt((pi * 2.0))) * ((pi / sin((pi * z))) * ((260.9048120626994 + (z * (436.3997278161676 + (z * 544.9358906000987)))) + (2.4783749183520145 + (z * (0.49644474017195733 + (z * 0.09941724278406093)))))); end
code[z_] := N[(N[(N[(N[Power[N[(N[(1.0 - z), $MachinePrecision] + 6.5), $MachinePrecision], N[(-0.5 - N[(z + -1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(N[(z + -1.0), $MachinePrecision] - 6.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(260.9048120626994 + N[(z * N[(436.3997278161676 + N[(z * 544.9358906000987), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(2.4783749183520145 + N[(z * N[(0.49644474017195733 + N[(z * 0.09941724278406093), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left({\left(\left(1 - z\right) + 6.5\right)}^{\left(-0.5 - \left(z + -1\right)\right)} \cdot e^{\left(z + -1\right) - 6.5}\right) \cdot \sqrt{\pi \cdot 2}\right) \cdot \left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(260.9048120626994 + z \cdot \left(436.3997278161676 + z \cdot 544.9358906000987\right)\right) + \left(2.4783749183520145 + z \cdot \left(0.49644474017195733 + z \cdot 0.09941724278406093\right)\right)\right)\right)
\end{array}
Initial program 97.0%
Simplified97.1%
Taylor expanded in z around 0 97.5%
*-commutative97.5%
Simplified97.5%
Taylor expanded in z around 0 97.5%
*-commutative97.5%
Simplified97.5%
Final simplification97.5%
(FPCore (z)
:precision binary64
(*
(*
(* (pow (+ (- 1.0 z) 6.5) (- -0.5 (+ z -1.0))) (exp (- (+ z -1.0) 6.5)))
(sqrt (* PI 2.0)))
(*
(/ PI (sin (* PI z)))
(+
(+ 260.9048120626994 (* z (+ 436.3997278161676 (* z 544.9358906000987))))
(+ 2.4783749183520145 (* z 0.49644474017195733))))))
double code(double z) {
return ((pow(((1.0 - z) + 6.5), (-0.5 - (z + -1.0))) * exp(((z + -1.0) - 6.5))) * sqrt((((double) M_PI) * 2.0))) * ((((double) M_PI) / sin((((double) M_PI) * z))) * ((260.9048120626994 + (z * (436.3997278161676 + (z * 544.9358906000987)))) + (2.4783749183520145 + (z * 0.49644474017195733))));
}
public static double code(double z) {
return ((Math.pow(((1.0 - z) + 6.5), (-0.5 - (z + -1.0))) * Math.exp(((z + -1.0) - 6.5))) * Math.sqrt((Math.PI * 2.0))) * ((Math.PI / Math.sin((Math.PI * z))) * ((260.9048120626994 + (z * (436.3997278161676 + (z * 544.9358906000987)))) + (2.4783749183520145 + (z * 0.49644474017195733))));
}
def code(z): return ((math.pow(((1.0 - z) + 6.5), (-0.5 - (z + -1.0))) * math.exp(((z + -1.0) - 6.5))) * math.sqrt((math.pi * 2.0))) * ((math.pi / math.sin((math.pi * z))) * ((260.9048120626994 + (z * (436.3997278161676 + (z * 544.9358906000987)))) + (2.4783749183520145 + (z * 0.49644474017195733))))
function code(z) return Float64(Float64(Float64((Float64(Float64(1.0 - z) + 6.5) ^ Float64(-0.5 - Float64(z + -1.0))) * exp(Float64(Float64(z + -1.0) - 6.5))) * sqrt(Float64(pi * 2.0))) * Float64(Float64(pi / sin(Float64(pi * z))) * Float64(Float64(260.9048120626994 + Float64(z * Float64(436.3997278161676 + Float64(z * 544.9358906000987)))) + Float64(2.4783749183520145 + Float64(z * 0.49644474017195733))))) end
function tmp = code(z) tmp = (((((1.0 - z) + 6.5) ^ (-0.5 - (z + -1.0))) * exp(((z + -1.0) - 6.5))) * sqrt((pi * 2.0))) * ((pi / sin((pi * z))) * ((260.9048120626994 + (z * (436.3997278161676 + (z * 544.9358906000987)))) + (2.4783749183520145 + (z * 0.49644474017195733)))); end
code[z_] := N[(N[(N[(N[Power[N[(N[(1.0 - z), $MachinePrecision] + 6.5), $MachinePrecision], N[(-0.5 - N[(z + -1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(N[(z + -1.0), $MachinePrecision] - 6.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(260.9048120626994 + N[(z * N[(436.3997278161676 + N[(z * 544.9358906000987), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(2.4783749183520145 + N[(z * 0.49644474017195733), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left({\left(\left(1 - z\right) + 6.5\right)}^{\left(-0.5 - \left(z + -1\right)\right)} \cdot e^{\left(z + -1\right) - 6.5}\right) \cdot \sqrt{\pi \cdot 2}\right) \cdot \left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(260.9048120626994 + z \cdot \left(436.3997278161676 + z \cdot 544.9358906000987\right)\right) + \left(2.4783749183520145 + z \cdot 0.49644474017195733\right)\right)\right)
\end{array}
Initial program 97.0%
Simplified97.1%
Taylor expanded in z around 0 97.5%
*-commutative97.5%
Simplified97.5%
Taylor expanded in z around 0 97.5%
*-commutative97.5%
Simplified97.5%
Final simplification97.5%
(FPCore (z)
:precision binary64
(*
(*
(* (pow (+ (- 1.0 z) 6.5) (- -0.5 (+ z -1.0))) (exp (- (+ z -1.0) 6.5)))
(sqrt (* PI 2.0)))
(*
(/ PI (sin (* PI z)))
(+
263.3831869810514
(*
z
(+
436.8961725563396
(* z (+ (* z 0.01990483129967024) 545.0353078428827))))))))
double code(double z) {
return ((pow(((1.0 - z) + 6.5), (-0.5 - (z + -1.0))) * exp(((z + -1.0) - 6.5))) * sqrt((((double) M_PI) * 2.0))) * ((((double) M_PI) / sin((((double) M_PI) * z))) * (263.3831869810514 + (z * (436.8961725563396 + (z * ((z * 0.01990483129967024) + 545.0353078428827))))));
}
public static double code(double z) {
return ((Math.pow(((1.0 - z) + 6.5), (-0.5 - (z + -1.0))) * Math.exp(((z + -1.0) - 6.5))) * Math.sqrt((Math.PI * 2.0))) * ((Math.PI / Math.sin((Math.PI * z))) * (263.3831869810514 + (z * (436.8961725563396 + (z * ((z * 0.01990483129967024) + 545.0353078428827))))));
}
def code(z): return ((math.pow(((1.0 - z) + 6.5), (-0.5 - (z + -1.0))) * math.exp(((z + -1.0) - 6.5))) * math.sqrt((math.pi * 2.0))) * ((math.pi / math.sin((math.pi * z))) * (263.3831869810514 + (z * (436.8961725563396 + (z * ((z * 0.01990483129967024) + 545.0353078428827))))))
function code(z) return Float64(Float64(Float64((Float64(Float64(1.0 - z) + 6.5) ^ Float64(-0.5 - Float64(z + -1.0))) * exp(Float64(Float64(z + -1.0) - 6.5))) * sqrt(Float64(pi * 2.0))) * Float64(Float64(pi / sin(Float64(pi * z))) * Float64(263.3831869810514 + Float64(z * Float64(436.8961725563396 + Float64(z * Float64(Float64(z * 0.01990483129967024) + 545.0353078428827))))))) end
function tmp = code(z) tmp = (((((1.0 - z) + 6.5) ^ (-0.5 - (z + -1.0))) * exp(((z + -1.0) - 6.5))) * sqrt((pi * 2.0))) * ((pi / sin((pi * z))) * (263.3831869810514 + (z * (436.8961725563396 + (z * ((z * 0.01990483129967024) + 545.0353078428827)))))); end
code[z_] := N[(N[(N[(N[Power[N[(N[(1.0 - z), $MachinePrecision] + 6.5), $MachinePrecision], N[(-0.5 - N[(z + -1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(N[(z + -1.0), $MachinePrecision] - 6.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(263.3831869810514 + N[(z * N[(436.8961725563396 + N[(z * N[(N[(z * 0.01990483129967024), $MachinePrecision] + 545.0353078428827), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left({\left(\left(1 - z\right) + 6.5\right)}^{\left(-0.5 - \left(z + -1\right)\right)} \cdot e^{\left(z + -1\right) - 6.5}\right) \cdot \sqrt{\pi \cdot 2}\right) \cdot \left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(263.3831869810514 + z \cdot \left(436.8961725563396 + z \cdot \left(z \cdot 0.01990483129967024 + 545.0353078428827\right)\right)\right)\right)
\end{array}
Initial program 97.0%
Simplified97.1%
Taylor expanded in z around 0 97.5%
*-commutative97.5%
Simplified97.5%
Taylor expanded in z around 0 97.2%
+-commutative97.2%
*-commutative97.2%
Simplified97.2%
Final simplification97.2%
(FPCore (z) :precision binary64 (* (* (* (pow (+ (- 1.0 z) 6.5) (- -0.5 (+ z -1.0))) (exp (- (+ z -1.0) 6.5))) (sqrt (* PI 2.0))) (* (/ PI (sin (* PI z))) (+ 263.3831869810514 (* z (+ 436.8961725563396 (* z 545.0353078428827)))))))
double code(double z) {
return ((pow(((1.0 - z) + 6.5), (-0.5 - (z + -1.0))) * exp(((z + -1.0) - 6.5))) * sqrt((((double) M_PI) * 2.0))) * ((((double) M_PI) / sin((((double) M_PI) * z))) * (263.3831869810514 + (z * (436.8961725563396 + (z * 545.0353078428827)))));
}
public static double code(double z) {
return ((Math.pow(((1.0 - z) + 6.5), (-0.5 - (z + -1.0))) * Math.exp(((z + -1.0) - 6.5))) * Math.sqrt((Math.PI * 2.0))) * ((Math.PI / Math.sin((Math.PI * z))) * (263.3831869810514 + (z * (436.8961725563396 + (z * 545.0353078428827)))));
}
def code(z): return ((math.pow(((1.0 - z) + 6.5), (-0.5 - (z + -1.0))) * math.exp(((z + -1.0) - 6.5))) * math.sqrt((math.pi * 2.0))) * ((math.pi / math.sin((math.pi * z))) * (263.3831869810514 + (z * (436.8961725563396 + (z * 545.0353078428827)))))
function code(z) return Float64(Float64(Float64((Float64(Float64(1.0 - z) + 6.5) ^ Float64(-0.5 - Float64(z + -1.0))) * exp(Float64(Float64(z + -1.0) - 6.5))) * sqrt(Float64(pi * 2.0))) * Float64(Float64(pi / sin(Float64(pi * z))) * Float64(263.3831869810514 + Float64(z * Float64(436.8961725563396 + Float64(z * 545.0353078428827)))))) end
function tmp = code(z) tmp = (((((1.0 - z) + 6.5) ^ (-0.5 - (z + -1.0))) * exp(((z + -1.0) - 6.5))) * sqrt((pi * 2.0))) * ((pi / sin((pi * z))) * (263.3831869810514 + (z * (436.8961725563396 + (z * 545.0353078428827))))); end
code[z_] := N[(N[(N[(N[Power[N[(N[(1.0 - z), $MachinePrecision] + 6.5), $MachinePrecision], N[(-0.5 - N[(z + -1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(N[(z + -1.0), $MachinePrecision] - 6.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(263.3831869810514 + N[(z * N[(436.8961725563396 + N[(z * 545.0353078428827), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left({\left(\left(1 - z\right) + 6.5\right)}^{\left(-0.5 - \left(z + -1\right)\right)} \cdot e^{\left(z + -1\right) - 6.5}\right) \cdot \sqrt{\pi \cdot 2}\right) \cdot \left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(263.3831869810514 + z \cdot \left(436.8961725563396 + z \cdot 545.0353078428827\right)\right)\right)
\end{array}
Initial program 97.0%
Simplified97.1%
Taylor expanded in z around 0 97.5%
*-commutative97.5%
Simplified97.5%
Taylor expanded in z around 0 97.2%
*-commutative97.2%
Simplified97.2%
Final simplification97.2%
(FPCore (z) :precision binary64 (* (* (sqrt (* PI 2.0)) (* (pow (- 7.5 z) (- 0.5 z)) (exp (+ z -7.5)))) (* (/ PI (sin (* PI z))) (+ 263.3831869810514 (* z (+ 436.8961725563396 (* z 547.6948589273117)))))))
double code(double z) {
return (sqrt((((double) M_PI) * 2.0)) * (pow((7.5 - z), (0.5 - z)) * exp((z + -7.5)))) * ((((double) M_PI) / sin((((double) M_PI) * z))) * (263.3831869810514 + (z * (436.8961725563396 + (z * 547.6948589273117)))));
}
public static double code(double z) {
return (Math.sqrt((Math.PI * 2.0)) * (Math.pow((7.5 - z), (0.5 - z)) * Math.exp((z + -7.5)))) * ((Math.PI / Math.sin((Math.PI * z))) * (263.3831869810514 + (z * (436.8961725563396 + (z * 547.6948589273117)))));
}
def code(z): return (math.sqrt((math.pi * 2.0)) * (math.pow((7.5 - z), (0.5 - z)) * math.exp((z + -7.5)))) * ((math.pi / math.sin((math.pi * z))) * (263.3831869810514 + (z * (436.8961725563396 + (z * 547.6948589273117)))))
function code(z) return Float64(Float64(sqrt(Float64(pi * 2.0)) * Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * exp(Float64(z + -7.5)))) * Float64(Float64(pi / sin(Float64(pi * z))) * Float64(263.3831869810514 + Float64(z * Float64(436.8961725563396 + Float64(z * 547.6948589273117)))))) end
function tmp = code(z) tmp = (sqrt((pi * 2.0)) * (((7.5 - z) ^ (0.5 - z)) * exp((z + -7.5)))) * ((pi / sin((pi * z))) * (263.3831869810514 + (z * (436.8961725563396 + (z * 547.6948589273117))))); end
code[z_] := N[(N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(263.3831869810514 + N[(z * N[(436.8961725563396 + N[(z * 547.6948589273117), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\sqrt{\pi \cdot 2} \cdot \left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot e^{z + -7.5}\right)\right) \cdot \left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(263.3831869810514 + z \cdot \left(436.8961725563396 + z \cdot 547.6948589273117\right)\right)\right)
\end{array}
Initial program 97.0%
Simplified97.3%
Taylor expanded in z around 0 96.3%
*-commutative96.3%
Simplified96.3%
Taylor expanded in z around 0 96.0%
Taylor expanded in z around 0 97.1%
*-commutative97.1%
Simplified97.1%
Final simplification97.1%
(FPCore (z)
:precision binary64
(*
(*
(* (pow (+ (- 1.0 z) 6.5) (- -0.5 (+ z -1.0))) (exp (- (+ z -1.0) 6.5)))
(sqrt (* PI 2.0)))
(*
(+
(+ 260.9048120626994 (* z (+ 436.3997278161676 (* z 544.9358906000987))))
(+
2.4783749183520145
(*
z
(+
0.49644474017195733
(* z (+ 0.09941724278406093 (* z 0.01990483129967024)))))))
(/ 1.0 z))))
double code(double z) {
return ((pow(((1.0 - z) + 6.5), (-0.5 - (z + -1.0))) * exp(((z + -1.0) - 6.5))) * sqrt((((double) M_PI) * 2.0))) * (((260.9048120626994 + (z * (436.3997278161676 + (z * 544.9358906000987)))) + (2.4783749183520145 + (z * (0.49644474017195733 + (z * (0.09941724278406093 + (z * 0.01990483129967024))))))) * (1.0 / z));
}
public static double code(double z) {
return ((Math.pow(((1.0 - z) + 6.5), (-0.5 - (z + -1.0))) * Math.exp(((z + -1.0) - 6.5))) * Math.sqrt((Math.PI * 2.0))) * (((260.9048120626994 + (z * (436.3997278161676 + (z * 544.9358906000987)))) + (2.4783749183520145 + (z * (0.49644474017195733 + (z * (0.09941724278406093 + (z * 0.01990483129967024))))))) * (1.0 / z));
}
def code(z): return ((math.pow(((1.0 - z) + 6.5), (-0.5 - (z + -1.0))) * math.exp(((z + -1.0) - 6.5))) * math.sqrt((math.pi * 2.0))) * (((260.9048120626994 + (z * (436.3997278161676 + (z * 544.9358906000987)))) + (2.4783749183520145 + (z * (0.49644474017195733 + (z * (0.09941724278406093 + (z * 0.01990483129967024))))))) * (1.0 / z))
function code(z) return Float64(Float64(Float64((Float64(Float64(1.0 - z) + 6.5) ^ Float64(-0.5 - Float64(z + -1.0))) * exp(Float64(Float64(z + -1.0) - 6.5))) * sqrt(Float64(pi * 2.0))) * Float64(Float64(Float64(260.9048120626994 + Float64(z * Float64(436.3997278161676 + Float64(z * 544.9358906000987)))) + Float64(2.4783749183520145 + Float64(z * Float64(0.49644474017195733 + Float64(z * Float64(0.09941724278406093 + Float64(z * 0.01990483129967024))))))) * Float64(1.0 / z))) end
function tmp = code(z) tmp = (((((1.0 - z) + 6.5) ^ (-0.5 - (z + -1.0))) * exp(((z + -1.0) - 6.5))) * sqrt((pi * 2.0))) * (((260.9048120626994 + (z * (436.3997278161676 + (z * 544.9358906000987)))) + (2.4783749183520145 + (z * (0.49644474017195733 + (z * (0.09941724278406093 + (z * 0.01990483129967024))))))) * (1.0 / z)); end
code[z_] := N[(N[(N[(N[Power[N[(N[(1.0 - z), $MachinePrecision] + 6.5), $MachinePrecision], N[(-0.5 - N[(z + -1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(N[(z + -1.0), $MachinePrecision] - 6.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(260.9048120626994 + N[(z * N[(436.3997278161676 + N[(z * 544.9358906000987), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(2.4783749183520145 + N[(z * N[(0.49644474017195733 + N[(z * N[(0.09941724278406093 + N[(z * 0.01990483129967024), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left({\left(\left(1 - z\right) + 6.5\right)}^{\left(-0.5 - \left(z + -1\right)\right)} \cdot e^{\left(z + -1\right) - 6.5}\right) \cdot \sqrt{\pi \cdot 2}\right) \cdot \left(\left(\left(260.9048120626994 + z \cdot \left(436.3997278161676 + z \cdot 544.9358906000987\right)\right) + \left(2.4783749183520145 + z \cdot \left(0.49644474017195733 + z \cdot \left(0.09941724278406093 + z \cdot 0.01990483129967024\right)\right)\right)\right) \cdot \frac{1}{z}\right)
\end{array}
Initial program 97.0%
Simplified97.1%
Taylor expanded in z around 0 97.5%
*-commutative97.5%
Simplified97.5%
Taylor expanded in z around 0 97.5%
*-commutative97.5%
Simplified97.5%
Taylor expanded in z around 0 97.1%
Final simplification97.1%
(FPCore (z) :precision binary64 (* (* (* (pow (+ (- 1.0 z) 6.5) (- -0.5 (+ z -1.0))) (exp (- (+ z -1.0) 6.5))) (sqrt (* PI 2.0))) (/ (+ 263.3831869810514 (* z 436.8961725563396)) z)))
double code(double z) {
return ((pow(((1.0 - z) + 6.5), (-0.5 - (z + -1.0))) * exp(((z + -1.0) - 6.5))) * sqrt((((double) M_PI) * 2.0))) * ((263.3831869810514 + (z * 436.8961725563396)) / z);
}
public static double code(double z) {
return ((Math.pow(((1.0 - z) + 6.5), (-0.5 - (z + -1.0))) * Math.exp(((z + -1.0) - 6.5))) * Math.sqrt((Math.PI * 2.0))) * ((263.3831869810514 + (z * 436.8961725563396)) / z);
}
def code(z): return ((math.pow(((1.0 - z) + 6.5), (-0.5 - (z + -1.0))) * math.exp(((z + -1.0) - 6.5))) * math.sqrt((math.pi * 2.0))) * ((263.3831869810514 + (z * 436.8961725563396)) / z)
function code(z) return Float64(Float64(Float64((Float64(Float64(1.0 - z) + 6.5) ^ Float64(-0.5 - Float64(z + -1.0))) * exp(Float64(Float64(z + -1.0) - 6.5))) * sqrt(Float64(pi * 2.0))) * Float64(Float64(263.3831869810514 + Float64(z * 436.8961725563396)) / z)) end
function tmp = code(z) tmp = (((((1.0 - z) + 6.5) ^ (-0.5 - (z + -1.0))) * exp(((z + -1.0) - 6.5))) * sqrt((pi * 2.0))) * ((263.3831869810514 + (z * 436.8961725563396)) / z); end
code[z_] := N[(N[(N[(N[Power[N[(N[(1.0 - z), $MachinePrecision] + 6.5), $MachinePrecision], N[(-0.5 - N[(z + -1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(N[(z + -1.0), $MachinePrecision] - 6.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(263.3831869810514 + N[(z * 436.8961725563396), $MachinePrecision]), $MachinePrecision] / z), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left({\left(\left(1 - z\right) + 6.5\right)}^{\left(-0.5 - \left(z + -1\right)\right)} \cdot e^{\left(z + -1\right) - 6.5}\right) \cdot \sqrt{\pi \cdot 2}\right) \cdot \frac{263.3831869810514 + z \cdot 436.8961725563396}{z}
\end{array}
Initial program 97.0%
Simplified97.1%
Taylor expanded in z around 0 97.5%
*-commutative97.5%
Simplified97.5%
Taylor expanded in z around 0 97.5%
*-commutative97.5%
Simplified97.5%
Taylor expanded in z around 0 96.8%
*-commutative96.8%
Simplified96.8%
Final simplification96.8%
(FPCore (z) :precision binary64 (* (sqrt (* PI 2.0)) (* (pow (- 7.5 z) (- 0.5 z)) (* (/ 263.3831869810514 z) (exp (+ -6.5 (+ z -1.0)))))))
double code(double z) {
return sqrt((((double) M_PI) * 2.0)) * (pow((7.5 - z), (0.5 - z)) * ((263.3831869810514 / z) * exp((-6.5 + (z + -1.0)))));
}
public static double code(double z) {
return Math.sqrt((Math.PI * 2.0)) * (Math.pow((7.5 - z), (0.5 - z)) * ((263.3831869810514 / z) * Math.exp((-6.5 + (z + -1.0)))));
}
def code(z): return math.sqrt((math.pi * 2.0)) * (math.pow((7.5 - z), (0.5 - z)) * ((263.3831869810514 / z) * math.exp((-6.5 + (z + -1.0)))))
function code(z) return Float64(sqrt(Float64(pi * 2.0)) * Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * Float64(Float64(263.3831869810514 / z) * exp(Float64(-6.5 + Float64(z + -1.0)))))) end
function tmp = code(z) tmp = sqrt((pi * 2.0)) * (((7.5 - z) ^ (0.5 - z)) * ((263.3831869810514 / z) * exp((-6.5 + (z + -1.0))))); end
code[z_] := N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[(N[(263.3831869810514 / z), $MachinePrecision] * N[Exp[N[(-6.5 + N[(z + -1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt{\pi \cdot 2} \cdot \left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot \left(\frac{263.3831869810514}{z} \cdot e^{-6.5 + \left(z + -1\right)}\right)\right)
\end{array}
Initial program 97.0%
Simplified97.1%
Taylor expanded in z around 0 97.5%
*-commutative97.5%
Simplified97.5%
Taylor expanded in z around 0 95.7%
Taylor expanded in z around 0 95.6%
associate-*r/95.3%
associate-*r*95.3%
*-commutative95.3%
distribute-neg-in95.3%
metadata-eval95.3%
Applied egg-rr95.3%
associate-/l*95.6%
associate-*l*95.6%
associate-*l*95.8%
associate-*l*95.7%
+-commutative95.7%
associate-+r-95.7%
metadata-eval95.7%
+-commutative95.7%
associate-+r-95.7%
metadata-eval95.7%
*-commutative95.7%
Simplified95.7%
Final simplification95.7%
(FPCore (z) :precision binary64 (* 263.3831869810514 (/ (* (sqrt (* PI 2.0)) (* (pow (- 7.5 z) (- 0.5 z)) (exp (+ z -7.5)))) z)))
double code(double z) {
return 263.3831869810514 * ((sqrt((((double) M_PI) * 2.0)) * (pow((7.5 - z), (0.5 - z)) * exp((z + -7.5)))) / z);
}
public static double code(double z) {
return 263.3831869810514 * ((Math.sqrt((Math.PI * 2.0)) * (Math.pow((7.5 - z), (0.5 - z)) * Math.exp((z + -7.5)))) / z);
}
def code(z): return 263.3831869810514 * ((math.sqrt((math.pi * 2.0)) * (math.pow((7.5 - z), (0.5 - z)) * math.exp((z + -7.5)))) / z)
function code(z) return Float64(263.3831869810514 * Float64(Float64(sqrt(Float64(pi * 2.0)) * Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * exp(Float64(z + -7.5)))) / z)) end
function tmp = code(z) tmp = 263.3831869810514 * ((sqrt((pi * 2.0)) * (((7.5 - z) ^ (0.5 - z)) * exp((z + -7.5)))) / z); end
code[z_] := N[(263.3831869810514 * N[(N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / z), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
263.3831869810514 \cdot \frac{\sqrt{\pi \cdot 2} \cdot \left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot e^{z + -7.5}\right)}{z}
\end{array}
Initial program 97.0%
Simplified97.1%
Taylor expanded in z around 0 97.5%
*-commutative97.5%
Simplified97.5%
Taylor expanded in z around 0 95.7%
Taylor expanded in z around 0 95.6%
associate-*r/95.3%
associate-*r*95.3%
*-commutative95.3%
distribute-neg-in95.3%
metadata-eval95.3%
Applied egg-rr95.3%
*-commutative95.3%
associate-/l*95.6%
Simplified95.6%
Final simplification95.6%
herbie shell --seed 2024050
(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))))))