
(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 (* (sqrt 2.0) (sqrt 7.5)))
(t_1 (- -0.06666666666666667 (log 7.5)))
(t_2 (* PI (exp 7.5)))
(t_3 (* (/ (sqrt 2.0) (exp 7.5)) (/ (sqrt 7.5) PI)))
(t_4 (* PI (* PI PI)))
(t_5 (* (exp 7.5) (+ (* PI 0.5) (* t_4 -0.16666666666666666))))
(t_6 (sqrt t_4))
(t_7 (+ (/ (* (sqrt 2.0) (* (sqrt 7.5) t_1)) t_2) t_3))
(t_8 (* PI (* PI (exp 15.0))))
(t_9
(+
(/
(*
(sqrt 7.5)
(* (sqrt 2.0) (+ 0.1288888888888889 (* 0.5 (pow t_1 2.0)))))
t_2)
(- t_7 (/ (* (sqrt 7.5) (* (sqrt 2.0) t_5)) t_8)))))
(*
(/
(+
(/ (* (sqrt PI) t_0) (exp 7.5))
(*
z
(+
(* t_6 t_7)
(*
z
(*
t_6
(+
t_9
(*
z
(+
(/
(*
t_0
(+
0.008493827160493827
(+
(* t_1 0.1288888888888889)
(* 0.16666666666666666 (pow t_1 3.0)))))
t_2)
(+
t_9
(-
(/
(*
t_5
(-
(/
(*
(sqrt 2.0)
(* (sqrt 7.5) (- (log 7.5) -0.06666666666666667)))
t_2)
t_3))
t_2)
(/
(*
t_0
(*
(exp 7.5)
(+ (* PI -0.16666666666666666) (* t_4 0.16666666666666666))))
t_8)))))))))))
z)
(+
(+
(+
(+
0.9999999999998099
(+
46.9507597606837
(*
z
(+
361.7355639412844
(* z (+ 519.1279660315847 (* z 597.824167076735)))))))
(+
212.9540523020159
(*
z
(+
74.66416387488323
(* z (+ 25.80792456851389 (* z 8.832609008726168)))))))
(+
(/ 12.507343278686905 (+ (- 1.0 z) 4.0))
(/ -0.13857109526572012 (- 5.0 (+ z -1.0)))))
(+
(/ 9.984369578019572e-6 (+ (- 1.0 z) 6.0))
(/ 1.5056327351493116e-7 (+ (- 1.0 z) 7.0)))))))
double code(double z) {
double t_0 = sqrt(2.0) * sqrt(7.5);
double t_1 = -0.06666666666666667 - log(7.5);
double t_2 = ((double) M_PI) * exp(7.5);
double t_3 = (sqrt(2.0) / exp(7.5)) * (sqrt(7.5) / ((double) M_PI));
double t_4 = ((double) M_PI) * (((double) M_PI) * ((double) M_PI));
double t_5 = exp(7.5) * ((((double) M_PI) * 0.5) + (t_4 * -0.16666666666666666));
double t_6 = sqrt(t_4);
double t_7 = ((sqrt(2.0) * (sqrt(7.5) * t_1)) / t_2) + t_3;
double t_8 = ((double) M_PI) * (((double) M_PI) * exp(15.0));
double t_9 = ((sqrt(7.5) * (sqrt(2.0) * (0.1288888888888889 + (0.5 * pow(t_1, 2.0))))) / t_2) + (t_7 - ((sqrt(7.5) * (sqrt(2.0) * t_5)) / t_8));
return ((((sqrt(((double) M_PI)) * t_0) / exp(7.5)) + (z * ((t_6 * t_7) + (z * (t_6 * (t_9 + (z * (((t_0 * (0.008493827160493827 + ((t_1 * 0.1288888888888889) + (0.16666666666666666 * pow(t_1, 3.0))))) / t_2) + (t_9 + (((t_5 * (((sqrt(2.0) * (sqrt(7.5) * (log(7.5) - -0.06666666666666667))) / t_2) - t_3)) / t_2) - ((t_0 * (exp(7.5) * ((((double) M_PI) * -0.16666666666666666) + (t_4 * 0.16666666666666666)))) / t_8))))))))))) / z) * ((((0.9999999999998099 + (46.9507597606837 + (z * (361.7355639412844 + (z * (519.1279660315847 + (z * 597.824167076735))))))) + (212.9540523020159 + (z * (74.66416387488323 + (z * (25.80792456851389 + (z * 8.832609008726168))))))) + ((12.507343278686905 / ((1.0 - z) + 4.0)) + (-0.13857109526572012 / (5.0 - (z + -1.0))))) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0))));
}
public static double code(double z) {
double t_0 = Math.sqrt(2.0) * Math.sqrt(7.5);
double t_1 = -0.06666666666666667 - Math.log(7.5);
double t_2 = Math.PI * Math.exp(7.5);
double t_3 = (Math.sqrt(2.0) / Math.exp(7.5)) * (Math.sqrt(7.5) / Math.PI);
double t_4 = Math.PI * (Math.PI * Math.PI);
double t_5 = Math.exp(7.5) * ((Math.PI * 0.5) + (t_4 * -0.16666666666666666));
double t_6 = Math.sqrt(t_4);
double t_7 = ((Math.sqrt(2.0) * (Math.sqrt(7.5) * t_1)) / t_2) + t_3;
double t_8 = Math.PI * (Math.PI * Math.exp(15.0));
double t_9 = ((Math.sqrt(7.5) * (Math.sqrt(2.0) * (0.1288888888888889 + (0.5 * Math.pow(t_1, 2.0))))) / t_2) + (t_7 - ((Math.sqrt(7.5) * (Math.sqrt(2.0) * t_5)) / t_8));
return ((((Math.sqrt(Math.PI) * t_0) / Math.exp(7.5)) + (z * ((t_6 * t_7) + (z * (t_6 * (t_9 + (z * (((t_0 * (0.008493827160493827 + ((t_1 * 0.1288888888888889) + (0.16666666666666666 * Math.pow(t_1, 3.0))))) / t_2) + (t_9 + (((t_5 * (((Math.sqrt(2.0) * (Math.sqrt(7.5) * (Math.log(7.5) - -0.06666666666666667))) / t_2) - t_3)) / t_2) - ((t_0 * (Math.exp(7.5) * ((Math.PI * -0.16666666666666666) + (t_4 * 0.16666666666666666)))) / t_8))))))))))) / z) * ((((0.9999999999998099 + (46.9507597606837 + (z * (361.7355639412844 + (z * (519.1279660315847 + (z * 597.824167076735))))))) + (212.9540523020159 + (z * (74.66416387488323 + (z * (25.80792456851389 + (z * 8.832609008726168))))))) + ((12.507343278686905 / ((1.0 - z) + 4.0)) + (-0.13857109526572012 / (5.0 - (z + -1.0))))) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0))));
}
def code(z): t_0 = math.sqrt(2.0) * math.sqrt(7.5) t_1 = -0.06666666666666667 - math.log(7.5) t_2 = math.pi * math.exp(7.5) t_3 = (math.sqrt(2.0) / math.exp(7.5)) * (math.sqrt(7.5) / math.pi) t_4 = math.pi * (math.pi * math.pi) t_5 = math.exp(7.5) * ((math.pi * 0.5) + (t_4 * -0.16666666666666666)) t_6 = math.sqrt(t_4) t_7 = ((math.sqrt(2.0) * (math.sqrt(7.5) * t_1)) / t_2) + t_3 t_8 = math.pi * (math.pi * math.exp(15.0)) t_9 = ((math.sqrt(7.5) * (math.sqrt(2.0) * (0.1288888888888889 + (0.5 * math.pow(t_1, 2.0))))) / t_2) + (t_7 - ((math.sqrt(7.5) * (math.sqrt(2.0) * t_5)) / t_8)) return ((((math.sqrt(math.pi) * t_0) / math.exp(7.5)) + (z * ((t_6 * t_7) + (z * (t_6 * (t_9 + (z * (((t_0 * (0.008493827160493827 + ((t_1 * 0.1288888888888889) + (0.16666666666666666 * math.pow(t_1, 3.0))))) / t_2) + (t_9 + (((t_5 * (((math.sqrt(2.0) * (math.sqrt(7.5) * (math.log(7.5) - -0.06666666666666667))) / t_2) - t_3)) / t_2) - ((t_0 * (math.exp(7.5) * ((math.pi * -0.16666666666666666) + (t_4 * 0.16666666666666666)))) / t_8))))))))))) / z) * ((((0.9999999999998099 + (46.9507597606837 + (z * (361.7355639412844 + (z * (519.1279660315847 + (z * 597.824167076735))))))) + (212.9540523020159 + (z * (74.66416387488323 + (z * (25.80792456851389 + (z * 8.832609008726168))))))) + ((12.507343278686905 / ((1.0 - z) + 4.0)) + (-0.13857109526572012 / (5.0 - (z + -1.0))))) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0))))
function code(z) t_0 = Float64(sqrt(2.0) * sqrt(7.5)) t_1 = Float64(-0.06666666666666667 - log(7.5)) t_2 = Float64(pi * exp(7.5)) t_3 = Float64(Float64(sqrt(2.0) / exp(7.5)) * Float64(sqrt(7.5) / pi)) t_4 = Float64(pi * Float64(pi * pi)) t_5 = Float64(exp(7.5) * Float64(Float64(pi * 0.5) + Float64(t_4 * -0.16666666666666666))) t_6 = sqrt(t_4) t_7 = Float64(Float64(Float64(sqrt(2.0) * Float64(sqrt(7.5) * t_1)) / t_2) + t_3) t_8 = Float64(pi * Float64(pi * exp(15.0))) t_9 = Float64(Float64(Float64(sqrt(7.5) * Float64(sqrt(2.0) * Float64(0.1288888888888889 + Float64(0.5 * (t_1 ^ 2.0))))) / t_2) + Float64(t_7 - Float64(Float64(sqrt(7.5) * Float64(sqrt(2.0) * t_5)) / t_8))) return Float64(Float64(Float64(Float64(Float64(sqrt(pi) * t_0) / exp(7.5)) + Float64(z * Float64(Float64(t_6 * t_7) + Float64(z * Float64(t_6 * Float64(t_9 + Float64(z * Float64(Float64(Float64(t_0 * Float64(0.008493827160493827 + Float64(Float64(t_1 * 0.1288888888888889) + Float64(0.16666666666666666 * (t_1 ^ 3.0))))) / t_2) + Float64(t_9 + Float64(Float64(Float64(t_5 * Float64(Float64(Float64(sqrt(2.0) * Float64(sqrt(7.5) * Float64(log(7.5) - -0.06666666666666667))) / t_2) - t_3)) / t_2) - Float64(Float64(t_0 * Float64(exp(7.5) * Float64(Float64(pi * -0.16666666666666666) + Float64(t_4 * 0.16666666666666666)))) / t_8))))))))))) / z) * Float64(Float64(Float64(Float64(0.9999999999998099 + Float64(46.9507597606837 + Float64(z * Float64(361.7355639412844 + Float64(z * Float64(519.1279660315847 + Float64(z * 597.824167076735))))))) + Float64(212.9540523020159 + Float64(z * Float64(74.66416387488323 + Float64(z * Float64(25.80792456851389 + Float64(z * 8.832609008726168))))))) + Float64(Float64(12.507343278686905 / Float64(Float64(1.0 - z) + 4.0)) + Float64(-0.13857109526572012 / Float64(5.0 - Float64(z + -1.0))))) + Float64(Float64(9.984369578019572e-6 / Float64(Float64(1.0 - z) + 6.0)) + Float64(1.5056327351493116e-7 / Float64(Float64(1.0 - z) + 7.0))))) end
function tmp = code(z) t_0 = sqrt(2.0) * sqrt(7.5); t_1 = -0.06666666666666667 - log(7.5); t_2 = pi * exp(7.5); t_3 = (sqrt(2.0) / exp(7.5)) * (sqrt(7.5) / pi); t_4 = pi * (pi * pi); t_5 = exp(7.5) * ((pi * 0.5) + (t_4 * -0.16666666666666666)); t_6 = sqrt(t_4); t_7 = ((sqrt(2.0) * (sqrt(7.5) * t_1)) / t_2) + t_3; t_8 = pi * (pi * exp(15.0)); t_9 = ((sqrt(7.5) * (sqrt(2.0) * (0.1288888888888889 + (0.5 * (t_1 ^ 2.0))))) / t_2) + (t_7 - ((sqrt(7.5) * (sqrt(2.0) * t_5)) / t_8)); tmp = ((((sqrt(pi) * t_0) / exp(7.5)) + (z * ((t_6 * t_7) + (z * (t_6 * (t_9 + (z * (((t_0 * (0.008493827160493827 + ((t_1 * 0.1288888888888889) + (0.16666666666666666 * (t_1 ^ 3.0))))) / t_2) + (t_9 + (((t_5 * (((sqrt(2.0) * (sqrt(7.5) * (log(7.5) - -0.06666666666666667))) / t_2) - t_3)) / t_2) - ((t_0 * (exp(7.5) * ((pi * -0.16666666666666666) + (t_4 * 0.16666666666666666)))) / t_8))))))))))) / z) * ((((0.9999999999998099 + (46.9507597606837 + (z * (361.7355639412844 + (z * (519.1279660315847 + (z * 597.824167076735))))))) + (212.9540523020159 + (z * (74.66416387488323 + (z * (25.80792456851389 + (z * 8.832609008726168))))))) + ((12.507343278686905 / ((1.0 - z) + 4.0)) + (-0.13857109526572012 / (5.0 - (z + -1.0))))) + ((9.984369578019572e-6 / ((1.0 - z) + 6.0)) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0)))); end
code[z_] := Block[{t$95$0 = N[(N[Sqrt[2.0], $MachinePrecision] * N[Sqrt[7.5], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(-0.06666666666666667 - N[Log[7.5], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(Pi * N[Exp[7.5], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[Sqrt[2.0], $MachinePrecision] / N[Exp[7.5], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[7.5], $MachinePrecision] / Pi), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(Pi * N[(Pi * Pi), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[Exp[7.5], $MachinePrecision] * N[(N[(Pi * 0.5), $MachinePrecision] + N[(t$95$4 * -0.16666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[Sqrt[t$95$4], $MachinePrecision]}, Block[{t$95$7 = N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sqrt[7.5], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] / t$95$2), $MachinePrecision] + t$95$3), $MachinePrecision]}, Block[{t$95$8 = N[(Pi * N[(Pi * N[Exp[15.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$9 = N[(N[(N[(N[Sqrt[7.5], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * N[(0.1288888888888889 + N[(0.5 * N[Power[t$95$1, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$2), $MachinePrecision] + N[(t$95$7 - N[(N[(N[Sqrt[7.5], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * t$95$5), $MachinePrecision]), $MachinePrecision] / t$95$8), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(N[(N[(N[Sqrt[Pi], $MachinePrecision] * t$95$0), $MachinePrecision] / N[Exp[7.5], $MachinePrecision]), $MachinePrecision] + N[(z * N[(N[(t$95$6 * t$95$7), $MachinePrecision] + N[(z * N[(t$95$6 * N[(t$95$9 + N[(z * N[(N[(N[(t$95$0 * N[(0.008493827160493827 + N[(N[(t$95$1 * 0.1288888888888889), $MachinePrecision] + N[(0.16666666666666666 * N[Power[t$95$1, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$2), $MachinePrecision] + N[(t$95$9 + N[(N[(N[(t$95$5 * N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(N[Sqrt[7.5], $MachinePrecision] * N[(N[Log[7.5], $MachinePrecision] - -0.06666666666666667), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$2), $MachinePrecision] - t$95$3), $MachinePrecision]), $MachinePrecision] / t$95$2), $MachinePrecision] - N[(N[(t$95$0 * N[(N[Exp[7.5], $MachinePrecision] * N[(N[(Pi * -0.16666666666666666), $MachinePrecision] + N[(t$95$4 * 0.16666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$8), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / z), $MachinePrecision] * N[(N[(N[(N[(0.9999999999998099 + N[(46.9507597606837 + N[(z * N[(361.7355639412844 + N[(z * N[(519.1279660315847 + N[(z * 597.824167076735), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(212.9540523020159 + N[(z * N[(74.66416387488323 + N[(z * N[(25.80792456851389 + N[(z * 8.832609008726168), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(12.507343278686905 / N[(N[(1.0 - z), $MachinePrecision] + 4.0), $MachinePrecision]), $MachinePrecision] + N[(-0.13857109526572012 / N[(5.0 - N[(z + -1.0), $MachinePrecision]), $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}
\\
\begin{array}{l}
t_0 := \sqrt{2} \cdot \sqrt{7.5}\\
t_1 := -0.06666666666666667 - \log 7.5\\
t_2 := \pi \cdot e^{7.5}\\
t_3 := \frac{\sqrt{2}}{e^{7.5}} \cdot \frac{\sqrt{7.5}}{\pi}\\
t_4 := \pi \cdot \left(\pi \cdot \pi\right)\\
t_5 := e^{7.5} \cdot \left(\pi \cdot 0.5 + t\_4 \cdot -0.16666666666666666\right)\\
t_6 := \sqrt{t\_4}\\
t_7 := \frac{\sqrt{2} \cdot \left(\sqrt{7.5} \cdot t\_1\right)}{t\_2} + t\_3\\
t_8 := \pi \cdot \left(\pi \cdot e^{15}\right)\\
t_9 := \frac{\sqrt{7.5} \cdot \left(\sqrt{2} \cdot \left(0.1288888888888889 + 0.5 \cdot {t\_1}^{2}\right)\right)}{t\_2} + \left(t\_7 - \frac{\sqrt{7.5} \cdot \left(\sqrt{2} \cdot t\_5\right)}{t\_8}\right)\\
\frac{\frac{\sqrt{\pi} \cdot t\_0}{e^{7.5}} + z \cdot \left(t\_6 \cdot t\_7 + z \cdot \left(t\_6 \cdot \left(t\_9 + z \cdot \left(\frac{t\_0 \cdot \left(0.008493827160493827 + \left(t\_1 \cdot 0.1288888888888889 + 0.16666666666666666 \cdot {t\_1}^{3}\right)\right)}{t\_2} + \left(t\_9 + \left(\frac{t\_5 \cdot \left(\frac{\sqrt{2} \cdot \left(\sqrt{7.5} \cdot \left(\log 7.5 - -0.06666666666666667\right)\right)}{t\_2} - t\_3\right)}{t\_2} - \frac{t\_0 \cdot \left(e^{7.5} \cdot \left(\pi \cdot -0.16666666666666666 + t\_4 \cdot 0.16666666666666666\right)\right)}{t\_8}\right)\right)\right)\right)\right)\right)}{z} \cdot \left(\left(\left(\left(0.9999999999998099 + \left(46.9507597606837 + z \cdot \left(361.7355639412844 + z \cdot \left(519.1279660315847 + z \cdot 597.824167076735\right)\right)\right)\right) + \left(212.9540523020159 + z \cdot \left(74.66416387488323 + z \cdot \left(25.80792456851389 + z \cdot 8.832609008726168\right)\right)\right)\right) + \left(\frac{12.507343278686905}{\left(1 - z\right) + 4} + \frac{-0.13857109526572012}{5 - \left(z + -1\right)}\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}
\end{array}
Initial program 95.4%
Applied egg-rr97.4%
Taylor expanded in z around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f6497.4%
Simplified97.4%
Taylor expanded in z around 0
Simplified97.7%
Taylor expanded in z around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f6497.7%
Simplified97.7%
Final simplification97.7%
(FPCore (z)
:precision binary64
(let* ((t_0 (* PI (* PI PI)))
(t_1 (+ (log 7.5) 0.06666666666666667))
(t_2 (* (sqrt 2.0) (sqrt 7.5)))
(t_3 (* (/ t_2 PI) (/ t_1 (exp 7.5)))))
(*
(/
(+
(/ (* (sqrt PI) t_2) (exp 7.5))
(*
z
(*
(sqrt t_0)
(+
(- (/ t_2 (* PI (exp 7.5))) t_3)
(*
z
(-
(-
(*
(/ (sqrt 2.0) PI)
(+
(/ (sqrt 7.5) (exp 7.5))
(/
(* (sqrt 7.5) (+ 0.1288888888888889 (* 0.5 (pow t_1 2.0))))
(exp 7.5))))
t_3)
(/
(* (+ (* PI 0.5) (* t_0 -0.16666666666666666)) (* t_2 (exp 7.5)))
(* (* PI PI) (exp 15.0)))))))))
z)
(+
(+
(/ 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 (- 5.0 (+ z -1.0))))
(+
(+
212.9540523020159
(*
z
(+
74.66416387488323
(* z (+ 25.80792456851389 (* z 8.832609008726168))))))
(+
0.9999999999998099
(+
(/ 676.5203681218851 (- 1.0 z))
(/ -1259.1392167224028 (+ (- 1.0 z) 1.0))))))))))
double code(double z) {
double t_0 = ((double) M_PI) * (((double) M_PI) * ((double) M_PI));
double t_1 = log(7.5) + 0.06666666666666667;
double t_2 = sqrt(2.0) * sqrt(7.5);
double t_3 = (t_2 / ((double) M_PI)) * (t_1 / exp(7.5));
return ((((sqrt(((double) M_PI)) * t_2) / exp(7.5)) + (z * (sqrt(t_0) * (((t_2 / (((double) M_PI) * exp(7.5))) - t_3) + (z * ((((sqrt(2.0) / ((double) M_PI)) * ((sqrt(7.5) / exp(7.5)) + ((sqrt(7.5) * (0.1288888888888889 + (0.5 * pow(t_1, 2.0)))) / exp(7.5)))) - t_3) - ((((((double) M_PI) * 0.5) + (t_0 * -0.16666666666666666)) * (t_2 * exp(7.5))) / ((((double) M_PI) * ((double) M_PI)) * exp(15.0))))))))) / z) * (((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 / (5.0 - (z + -1.0)))) + ((212.9540523020159 + (z * (74.66416387488323 + (z * (25.80792456851389 + (z * 8.832609008726168)))))) + (0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / ((1.0 - z) + 1.0)))))));
}
public static double code(double z) {
double t_0 = Math.PI * (Math.PI * Math.PI);
double t_1 = Math.log(7.5) + 0.06666666666666667;
double t_2 = Math.sqrt(2.0) * Math.sqrt(7.5);
double t_3 = (t_2 / Math.PI) * (t_1 / Math.exp(7.5));
return ((((Math.sqrt(Math.PI) * t_2) / Math.exp(7.5)) + (z * (Math.sqrt(t_0) * (((t_2 / (Math.PI * Math.exp(7.5))) - t_3) + (z * ((((Math.sqrt(2.0) / Math.PI) * ((Math.sqrt(7.5) / Math.exp(7.5)) + ((Math.sqrt(7.5) * (0.1288888888888889 + (0.5 * Math.pow(t_1, 2.0)))) / Math.exp(7.5)))) - t_3) - ((((Math.PI * 0.5) + (t_0 * -0.16666666666666666)) * (t_2 * Math.exp(7.5))) / ((Math.PI * Math.PI) * Math.exp(15.0))))))))) / z) * (((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 / (5.0 - (z + -1.0)))) + ((212.9540523020159 + (z * (74.66416387488323 + (z * (25.80792456851389 + (z * 8.832609008726168)))))) + (0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / ((1.0 - z) + 1.0)))))));
}
def code(z): t_0 = math.pi * (math.pi * math.pi) t_1 = math.log(7.5) + 0.06666666666666667 t_2 = math.sqrt(2.0) * math.sqrt(7.5) t_3 = (t_2 / math.pi) * (t_1 / math.exp(7.5)) return ((((math.sqrt(math.pi) * t_2) / math.exp(7.5)) + (z * (math.sqrt(t_0) * (((t_2 / (math.pi * math.exp(7.5))) - t_3) + (z * ((((math.sqrt(2.0) / math.pi) * ((math.sqrt(7.5) / math.exp(7.5)) + ((math.sqrt(7.5) * (0.1288888888888889 + (0.5 * math.pow(t_1, 2.0)))) / math.exp(7.5)))) - t_3) - ((((math.pi * 0.5) + (t_0 * -0.16666666666666666)) * (t_2 * math.exp(7.5))) / ((math.pi * math.pi) * math.exp(15.0))))))))) / z) * (((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 / (5.0 - (z + -1.0)))) + ((212.9540523020159 + (z * (74.66416387488323 + (z * (25.80792456851389 + (z * 8.832609008726168)))))) + (0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / ((1.0 - z) + 1.0)))))))
function code(z) t_0 = Float64(pi * Float64(pi * pi)) t_1 = Float64(log(7.5) + 0.06666666666666667) t_2 = Float64(sqrt(2.0) * sqrt(7.5)) t_3 = Float64(Float64(t_2 / pi) * Float64(t_1 / exp(7.5))) return Float64(Float64(Float64(Float64(Float64(sqrt(pi) * t_2) / exp(7.5)) + Float64(z * Float64(sqrt(t_0) * Float64(Float64(Float64(t_2 / Float64(pi * exp(7.5))) - t_3) + Float64(z * Float64(Float64(Float64(Float64(sqrt(2.0) / pi) * Float64(Float64(sqrt(7.5) / exp(7.5)) + Float64(Float64(sqrt(7.5) * Float64(0.1288888888888889 + Float64(0.5 * (t_1 ^ 2.0)))) / exp(7.5)))) - t_3) - Float64(Float64(Float64(Float64(pi * 0.5) + Float64(t_0 * -0.16666666666666666)) * Float64(t_2 * exp(7.5))) / Float64(Float64(pi * pi) * exp(15.0))))))))) / z) * 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(5.0 - Float64(z + -1.0)))) + Float64(Float64(212.9540523020159 + Float64(z * Float64(74.66416387488323 + Float64(z * Float64(25.80792456851389 + Float64(z * 8.832609008726168)))))) + Float64(0.9999999999998099 + Float64(Float64(676.5203681218851 / Float64(1.0 - z)) + Float64(-1259.1392167224028 / Float64(Float64(1.0 - z) + 1.0)))))))) end
function tmp = code(z) t_0 = pi * (pi * pi); t_1 = log(7.5) + 0.06666666666666667; t_2 = sqrt(2.0) * sqrt(7.5); t_3 = (t_2 / pi) * (t_1 / exp(7.5)); tmp = ((((sqrt(pi) * t_2) / exp(7.5)) + (z * (sqrt(t_0) * (((t_2 / (pi * exp(7.5))) - t_3) + (z * ((((sqrt(2.0) / pi) * ((sqrt(7.5) / exp(7.5)) + ((sqrt(7.5) * (0.1288888888888889 + (0.5 * (t_1 ^ 2.0)))) / exp(7.5)))) - t_3) - ((((pi * 0.5) + (t_0 * -0.16666666666666666)) * (t_2 * exp(7.5))) / ((pi * pi) * exp(15.0))))))))) / z) * (((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 / (5.0 - (z + -1.0)))) + ((212.9540523020159 + (z * (74.66416387488323 + (z * (25.80792456851389 + (z * 8.832609008726168)))))) + (0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / ((1.0 - z) + 1.0))))))); end
code[z_] := Block[{t$95$0 = N[(Pi * N[(Pi * Pi), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Log[7.5], $MachinePrecision] + 0.06666666666666667), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[2.0], $MachinePrecision] * N[Sqrt[7.5], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(t$95$2 / Pi), $MachinePrecision] * N[(t$95$1 / N[Exp[7.5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(N[(N[(N[Sqrt[Pi], $MachinePrecision] * t$95$2), $MachinePrecision] / N[Exp[7.5], $MachinePrecision]), $MachinePrecision] + N[(z * N[(N[Sqrt[t$95$0], $MachinePrecision] * N[(N[(N[(t$95$2 / N[(Pi * N[Exp[7.5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$3), $MachinePrecision] + N[(z * N[(N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] / Pi), $MachinePrecision] * N[(N[(N[Sqrt[7.5], $MachinePrecision] / N[Exp[7.5], $MachinePrecision]), $MachinePrecision] + N[(N[(N[Sqrt[7.5], $MachinePrecision] * N[(0.1288888888888889 + N[(0.5 * N[Power[t$95$1, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Exp[7.5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$3), $MachinePrecision] - N[(N[(N[(N[(Pi * 0.5), $MachinePrecision] + N[(t$95$0 * -0.16666666666666666), $MachinePrecision]), $MachinePrecision] * N[(t$95$2 * N[Exp[7.5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(Pi * Pi), $MachinePrecision] * N[Exp[15.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / z), $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[(5.0 - N[(z + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(212.9540523020159 + N[(z * N[(74.66416387488323 + N[(z * N[(25.80792456851389 + N[(z * 8.832609008726168), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.9999999999998099 + N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + N[(-1259.1392167224028 / N[(N[(1.0 - z), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \pi \cdot \left(\pi \cdot \pi\right)\\
t_1 := \log 7.5 + 0.06666666666666667\\
t_2 := \sqrt{2} \cdot \sqrt{7.5}\\
t_3 := \frac{t\_2}{\pi} \cdot \frac{t\_1}{e^{7.5}}\\
\frac{\frac{\sqrt{\pi} \cdot t\_2}{e^{7.5}} + z \cdot \left(\sqrt{t\_0} \cdot \left(\left(\frac{t\_2}{\pi \cdot e^{7.5}} - t\_3\right) + z \cdot \left(\left(\frac{\sqrt{2}}{\pi} \cdot \left(\frac{\sqrt{7.5}}{e^{7.5}} + \frac{\sqrt{7.5} \cdot \left(0.1288888888888889 + 0.5 \cdot {t\_1}^{2}\right)}{e^{7.5}}\right) - t\_3\right) - \frac{\left(\pi \cdot 0.5 + t\_0 \cdot -0.16666666666666666\right) \cdot \left(t\_2 \cdot e^{7.5}\right)}{\left(\pi \cdot \pi\right) \cdot e^{15}}\right)\right)\right)}{z} \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}{5 - \left(z + -1\right)}\right) + \left(\left(212.9540523020159 + z \cdot \left(74.66416387488323 + z \cdot \left(25.80792456851389 + z \cdot 8.832609008726168\right)\right)\right) + \left(0.9999999999998099 + \left(\frac{676.5203681218851}{1 - z} + \frac{-1259.1392167224028}{\left(1 - z\right) + 1}\right)\right)\right)\right)\right)
\end{array}
\end{array}
Initial program 95.4%
Applied egg-rr97.4%
Taylor expanded in z around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f6497.4%
Simplified97.4%
Taylor expanded in z around 0
Simplified97.7%
Taylor expanded in z around 0
Simplified97.5%
Final simplification97.5%
(FPCore (z)
:precision binary64
(let* ((t_0 (+ (- 1.0 z) 6.0)) (t_1 (+ 0.5 t_0)))
(*
(*
(/ PI (sin (* PI z)))
(/ (* (sqrt (* PI 2.0)) (pow t_1 (+ (- 1.0 z) -0.5))) (exp t_1)))
(+
(+
(/ 9.984369578019572e-6 t_0)
(/ 1.5056327351493116e-7 (+ (- 1.0 z) 7.0)))
(+
(+
(/ 12.507343278686905 (+ (- 1.0 z) 4.0))
(/ -0.13857109526572012 (- 5.0 (+ z -1.0))))
(+
(+
0.9999999999998099
(+
(/ 676.5203681218851 (- 1.0 z))
(/ -1259.1392167224028 (+ (- 1.0 z) 1.0))))
(+
(/ 771.3234287776531 (+ 2.0 (- 1.0 z)))
(/ -176.6150291621406 (+ 3.0 (- 1.0 z))))))))))
double code(double z) {
double t_0 = (1.0 - z) + 6.0;
double t_1 = 0.5 + t_0;
return ((((double) M_PI) / sin((((double) M_PI) * z))) * ((sqrt((((double) M_PI) * 2.0)) * pow(t_1, ((1.0 - z) + -0.5))) / exp(t_1))) * (((9.984369578019572e-6 / t_0) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0))) + (((12.507343278686905 / ((1.0 - z) + 4.0)) + (-0.13857109526572012 / (5.0 - (z + -1.0)))) + ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / ((1.0 - z) + 1.0)))) + ((771.3234287776531 / (2.0 + (1.0 - z))) + (-176.6150291621406 / (3.0 + (1.0 - z)))))));
}
public static double code(double z) {
double t_0 = (1.0 - z) + 6.0;
double t_1 = 0.5 + t_0;
return ((Math.PI / Math.sin((Math.PI * z))) * ((Math.sqrt((Math.PI * 2.0)) * Math.pow(t_1, ((1.0 - z) + -0.5))) / Math.exp(t_1))) * (((9.984369578019572e-6 / t_0) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0))) + (((12.507343278686905 / ((1.0 - z) + 4.0)) + (-0.13857109526572012 / (5.0 - (z + -1.0)))) + ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / ((1.0 - z) + 1.0)))) + ((771.3234287776531 / (2.0 + (1.0 - z))) + (-176.6150291621406 / (3.0 + (1.0 - z)))))));
}
def code(z): t_0 = (1.0 - z) + 6.0 t_1 = 0.5 + t_0 return ((math.pi / math.sin((math.pi * z))) * ((math.sqrt((math.pi * 2.0)) * math.pow(t_1, ((1.0 - z) + -0.5))) / math.exp(t_1))) * (((9.984369578019572e-6 / t_0) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0))) + (((12.507343278686905 / ((1.0 - z) + 4.0)) + (-0.13857109526572012 / (5.0 - (z + -1.0)))) + ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / ((1.0 - z) + 1.0)))) + ((771.3234287776531 / (2.0 + (1.0 - z))) + (-176.6150291621406 / (3.0 + (1.0 - z)))))))
function code(z) t_0 = Float64(Float64(1.0 - z) + 6.0) t_1 = Float64(0.5 + t_0) return Float64(Float64(Float64(pi / sin(Float64(pi * z))) * Float64(Float64(sqrt(Float64(pi * 2.0)) * (t_1 ^ Float64(Float64(1.0 - z) + -0.5))) / exp(t_1))) * Float64(Float64(Float64(9.984369578019572e-6 / t_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(5.0 - Float64(z + -1.0)))) + Float64(Float64(0.9999999999998099 + Float64(Float64(676.5203681218851 / Float64(1.0 - z)) + Float64(-1259.1392167224028 / Float64(Float64(1.0 - z) + 1.0)))) + Float64(Float64(771.3234287776531 / Float64(2.0 + Float64(1.0 - z))) + Float64(-176.6150291621406 / Float64(3.0 + Float64(1.0 - z)))))))) end
function tmp = code(z) t_0 = (1.0 - z) + 6.0; t_1 = 0.5 + t_0; tmp = ((pi / sin((pi * z))) * ((sqrt((pi * 2.0)) * (t_1 ^ ((1.0 - z) + -0.5))) / exp(t_1))) * (((9.984369578019572e-6 / t_0) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0))) + (((12.507343278686905 / ((1.0 - z) + 4.0)) + (-0.13857109526572012 / (5.0 - (z + -1.0)))) + ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / ((1.0 - z) + 1.0)))) + ((771.3234287776531 / (2.0 + (1.0 - z))) + (-176.6150291621406 / (3.0 + (1.0 - z))))))); end
code[z_] := Block[{t$95$0 = N[(N[(1.0 - z), $MachinePrecision] + 6.0), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 + t$95$0), $MachinePrecision]}, N[(N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[Power[t$95$1, N[(N[(1.0 - z), $MachinePrecision] + -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[Exp[t$95$1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(9.984369578019572e-6 / t$95$0), $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[(5.0 - N[(z + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(0.9999999999998099 + N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + N[(-1259.1392167224028 / N[(N[(1.0 - z), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(771.3234287776531 / N[(2.0 + N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-176.6150291621406 / N[(3.0 + N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(1 - z\right) + 6\\
t_1 := 0.5 + t\_0\\
\left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \frac{\sqrt{\pi \cdot 2} \cdot {t\_1}^{\left(\left(1 - z\right) + -0.5\right)}}{e^{t\_1}}\right) \cdot \left(\left(\frac{9.984369578019572 \cdot 10^{-6}}{t\_0} + \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}{5 - \left(z + -1\right)}\right) + \left(\left(0.9999999999998099 + \left(\frac{676.5203681218851}{1 - z} + \frac{-1259.1392167224028}{\left(1 - z\right) + 1}\right)\right) + \left(\frac{771.3234287776531}{2 + \left(1 - z\right)} + \frac{-176.6150291621406}{3 + \left(1 - z\right)}\right)\right)\right)\right)
\end{array}
\end{array}
Initial program 95.4%
Applied egg-rr97.4%
Final simplification97.4%
(FPCore (z)
:precision binary64
(let* ((t_0 (+ (- 1.0 z) 6.0)) (t_1 (+ 0.5 t_0)))
(*
(*
(/ PI (sin (* PI z)))
(/ (* (sqrt (* PI 2.0)) (pow t_1 (+ (- 1.0 z) -0.5))) (exp t_1)))
(+
(+
(/ 9.984369578019572e-6 t_0)
(/ 1.5056327351493116e-7 (+ (- 1.0 z) 7.0)))
(+
(+
(+
212.9540523020159
(*
z
(+
74.66416387488323
(* z (+ 25.80792456851389 (* z 8.832609008726168))))))
(+
0.9999999999998099
(+
(/ 676.5203681218851 (- 1.0 z))
(/ -1259.1392167224028 (+ (- 1.0 z) 1.0)))))
(+
2.4783734731930944
(*
z
(+
0.49644453405676175
(* z (+ 0.09941721338104283 (* z 0.019904827104490312)))))))))))
double code(double z) {
double t_0 = (1.0 - z) + 6.0;
double t_1 = 0.5 + t_0;
return ((((double) M_PI) / sin((((double) M_PI) * z))) * ((sqrt((((double) M_PI) * 2.0)) * pow(t_1, ((1.0 - z) + -0.5))) / exp(t_1))) * (((9.984369578019572e-6 / t_0) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0))) + (((212.9540523020159 + (z * (74.66416387488323 + (z * (25.80792456851389 + (z * 8.832609008726168)))))) + (0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / ((1.0 - z) + 1.0))))) + (2.4783734731930944 + (z * (0.49644453405676175 + (z * (0.09941721338104283 + (z * 0.019904827104490312))))))));
}
public static double code(double z) {
double t_0 = (1.0 - z) + 6.0;
double t_1 = 0.5 + t_0;
return ((Math.PI / Math.sin((Math.PI * z))) * ((Math.sqrt((Math.PI * 2.0)) * Math.pow(t_1, ((1.0 - z) + -0.5))) / Math.exp(t_1))) * (((9.984369578019572e-6 / t_0) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0))) + (((212.9540523020159 + (z * (74.66416387488323 + (z * (25.80792456851389 + (z * 8.832609008726168)))))) + (0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / ((1.0 - z) + 1.0))))) + (2.4783734731930944 + (z * (0.49644453405676175 + (z * (0.09941721338104283 + (z * 0.019904827104490312))))))));
}
def code(z): t_0 = (1.0 - z) + 6.0 t_1 = 0.5 + t_0 return ((math.pi / math.sin((math.pi * z))) * ((math.sqrt((math.pi * 2.0)) * math.pow(t_1, ((1.0 - z) + -0.5))) / math.exp(t_1))) * (((9.984369578019572e-6 / t_0) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0))) + (((212.9540523020159 + (z * (74.66416387488323 + (z * (25.80792456851389 + (z * 8.832609008726168)))))) + (0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / ((1.0 - z) + 1.0))))) + (2.4783734731930944 + (z * (0.49644453405676175 + (z * (0.09941721338104283 + (z * 0.019904827104490312))))))))
function code(z) t_0 = Float64(Float64(1.0 - z) + 6.0) t_1 = Float64(0.5 + t_0) return Float64(Float64(Float64(pi / sin(Float64(pi * z))) * Float64(Float64(sqrt(Float64(pi * 2.0)) * (t_1 ^ Float64(Float64(1.0 - z) + -0.5))) / exp(t_1))) * Float64(Float64(Float64(9.984369578019572e-6 / t_0) + Float64(1.5056327351493116e-7 / Float64(Float64(1.0 - z) + 7.0))) + Float64(Float64(Float64(212.9540523020159 + Float64(z * Float64(74.66416387488323 + Float64(z * Float64(25.80792456851389 + Float64(z * 8.832609008726168)))))) + Float64(0.9999999999998099 + Float64(Float64(676.5203681218851 / Float64(1.0 - z)) + Float64(-1259.1392167224028 / Float64(Float64(1.0 - z) + 1.0))))) + Float64(2.4783734731930944 + Float64(z * Float64(0.49644453405676175 + Float64(z * Float64(0.09941721338104283 + Float64(z * 0.019904827104490312))))))))) end
function tmp = code(z) t_0 = (1.0 - z) + 6.0; t_1 = 0.5 + t_0; tmp = ((pi / sin((pi * z))) * ((sqrt((pi * 2.0)) * (t_1 ^ ((1.0 - z) + -0.5))) / exp(t_1))) * (((9.984369578019572e-6 / t_0) + (1.5056327351493116e-7 / ((1.0 - z) + 7.0))) + (((212.9540523020159 + (z * (74.66416387488323 + (z * (25.80792456851389 + (z * 8.832609008726168)))))) + (0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + (-1259.1392167224028 / ((1.0 - z) + 1.0))))) + (2.4783734731930944 + (z * (0.49644453405676175 + (z * (0.09941721338104283 + (z * 0.019904827104490312)))))))); end
code[z_] := Block[{t$95$0 = N[(N[(1.0 - z), $MachinePrecision] + 6.0), $MachinePrecision]}, Block[{t$95$1 = N[(0.5 + t$95$0), $MachinePrecision]}, N[(N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[Power[t$95$1, N[(N[(1.0 - z), $MachinePrecision] + -0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[Exp[t$95$1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(9.984369578019572e-6 / t$95$0), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(N[(1.0 - z), $MachinePrecision] + 7.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(212.9540523020159 + N[(z * N[(74.66416387488323 + N[(z * N[(25.80792456851389 + N[(z * 8.832609008726168), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.9999999999998099 + N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + N[(-1259.1392167224028 / N[(N[(1.0 - z), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(2.4783734731930944 + N[(z * N[(0.49644453405676175 + N[(z * N[(0.09941721338104283 + N[(z * 0.019904827104490312), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(1 - z\right) + 6\\
t_1 := 0.5 + t\_0\\
\left(\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \frac{\sqrt{\pi \cdot 2} \cdot {t\_1}^{\left(\left(1 - z\right) + -0.5\right)}}{e^{t\_1}}\right) \cdot \left(\left(\frac{9.984369578019572 \cdot 10^{-6}}{t\_0} + \frac{1.5056327351493116 \cdot 10^{-7}}{\left(1 - z\right) + 7}\right) + \left(\left(\left(212.9540523020159 + z \cdot \left(74.66416387488323 + z \cdot \left(25.80792456851389 + z \cdot 8.832609008726168\right)\right)\right) + \left(0.9999999999998099 + \left(\frac{676.5203681218851}{1 - z} + \frac{-1259.1392167224028}{\left(1 - z\right) + 1}\right)\right)\right) + \left(2.4783734731930944 + z \cdot \left(0.49644453405676175 + z \cdot \left(0.09941721338104283 + z \cdot 0.019904827104490312\right)\right)\right)\right)\right)
\end{array}
\end{array}
Initial program 95.4%
Applied egg-rr97.4%
Taylor expanded in z around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f6497.4%
Simplified97.4%
Taylor expanded in z around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f6497.4%
Simplified97.4%
Final simplification97.4%
(FPCore (z)
:precision binary64
(/
(*
PI
(+
(+
0.9999999999998099
(+
(/ 676.5203681218851 (- 1.0 z))
(+ (/ -1259.1392167224028 (- 2.0 z)) (/ 771.3234287776531 (- 3.0 z)))))
(+
(/ -176.6150291621406 (- 4.0 z))
(+
(+
(/ 1.5056327351493116e-7 (- 8.0 z))
(+
(/ -0.13857109526572012 (- 6.0 z))
(/ 9.984369578019572e-6 (- 7.0 z))))
(/ 12.507343278686905 (- 5.0 z))))))
(/
(sin (* PI z))
(/ (* (sqrt (* PI 2.0)) (pow (- 7.5 z) (- 0.5 z))) (exp (- 7.5 z))))))
double code(double z) {
return (((double) M_PI) * ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + ((-1259.1392167224028 / (2.0 - z)) + (771.3234287776531 / (3.0 - z))))) + ((-176.6150291621406 / (4.0 - z)) + (((1.5056327351493116e-7 / (8.0 - z)) + ((-0.13857109526572012 / (6.0 - z)) + (9.984369578019572e-6 / (7.0 - z)))) + (12.507343278686905 / (5.0 - z)))))) / (sin((((double) M_PI) * z)) / ((sqrt((((double) M_PI) * 2.0)) * pow((7.5 - z), (0.5 - z))) / exp((7.5 - z))));
}
public static double code(double z) {
return (Math.PI * ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + ((-1259.1392167224028 / (2.0 - z)) + (771.3234287776531 / (3.0 - z))))) + ((-176.6150291621406 / (4.0 - z)) + (((1.5056327351493116e-7 / (8.0 - z)) + ((-0.13857109526572012 / (6.0 - z)) + (9.984369578019572e-6 / (7.0 - z)))) + (12.507343278686905 / (5.0 - z)))))) / (Math.sin((Math.PI * z)) / ((Math.sqrt((Math.PI * 2.0)) * Math.pow((7.5 - z), (0.5 - z))) / Math.exp((7.5 - z))));
}
def code(z): return (math.pi * ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + ((-1259.1392167224028 / (2.0 - z)) + (771.3234287776531 / (3.0 - z))))) + ((-176.6150291621406 / (4.0 - z)) + (((1.5056327351493116e-7 / (8.0 - z)) + ((-0.13857109526572012 / (6.0 - z)) + (9.984369578019572e-6 / (7.0 - z)))) + (12.507343278686905 / (5.0 - z)))))) / (math.sin((math.pi * z)) / ((math.sqrt((math.pi * 2.0)) * math.pow((7.5 - z), (0.5 - z))) / math.exp((7.5 - z))))
function code(z) return Float64(Float64(pi * Float64(Float64(0.9999999999998099 + Float64(Float64(676.5203681218851 / Float64(1.0 - z)) + Float64(Float64(-1259.1392167224028 / Float64(2.0 - z)) + Float64(771.3234287776531 / Float64(3.0 - z))))) + Float64(Float64(-176.6150291621406 / Float64(4.0 - z)) + Float64(Float64(Float64(1.5056327351493116e-7 / Float64(8.0 - z)) + Float64(Float64(-0.13857109526572012 / Float64(6.0 - z)) + Float64(9.984369578019572e-6 / Float64(7.0 - z)))) + Float64(12.507343278686905 / Float64(5.0 - z)))))) / Float64(sin(Float64(pi * z)) / Float64(Float64(sqrt(Float64(pi * 2.0)) * (Float64(7.5 - z) ^ Float64(0.5 - z))) / exp(Float64(7.5 - z))))) end
function tmp = code(z) tmp = (pi * ((0.9999999999998099 + ((676.5203681218851 / (1.0 - z)) + ((-1259.1392167224028 / (2.0 - z)) + (771.3234287776531 / (3.0 - z))))) + ((-176.6150291621406 / (4.0 - z)) + (((1.5056327351493116e-7 / (8.0 - z)) + ((-0.13857109526572012 / (6.0 - z)) + (9.984369578019572e-6 / (7.0 - z)))) + (12.507343278686905 / (5.0 - z)))))) / (sin((pi * z)) / ((sqrt((pi * 2.0)) * ((7.5 - z) ^ (0.5 - z))) / exp((7.5 - z)))); end
code[z_] := N[(N[(Pi * N[(N[(0.9999999999998099 + N[(N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision] + N[(771.3234287776531 / N[(3.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(-176.6150291621406 / N[(4.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(1.5056327351493116e-7 / N[(8.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(-0.13857109526572012 / N[(6.0 - z), $MachinePrecision]), $MachinePrecision] + N[(9.984369578019572e-6 / N[(7.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(12.507343278686905 / N[(5.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision] / N[(N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[Exp[N[(7.5 - z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\pi \cdot \left(\left(0.9999999999998099 + \left(\frac{676.5203681218851}{1 - z} + \left(\frac{-1259.1392167224028}{2 - z} + \frac{771.3234287776531}{3 - z}\right)\right)\right) + \left(\frac{-176.6150291621406}{4 - z} + \left(\left(\frac{1.5056327351493116 \cdot 10^{-7}}{8 - z} + \left(\frac{-0.13857109526572012}{6 - z} + \frac{9.984369578019572 \cdot 10^{-6}}{7 - z}\right)\right) + \frac{12.507343278686905}{5 - z}\right)\right)\right)}{\frac{\sin \left(\pi \cdot z\right)}{\frac{\sqrt{\pi \cdot 2} \cdot {\left(7.5 - z\right)}^{\left(0.5 - z\right)}}{e^{7.5 - z}}}}
\end{array}
Initial program 95.4%
Simplified96.1%
Applied egg-rr96.0%
Applied egg-rr97.4%
Final simplification97.4%
(FPCore (z)
:precision binary64
(/
(*
PI
(+
(+
(+
(/ 1.5056327351493116e-7 (- 8.0 z))
(+
(/ -0.13857109526572012 (- 6.0 z))
(/ 9.984369578019572e-6 (- 7.0 z))))
(/ 12.507343278686905 (- 5.0 z)))
(+
260.9048120626994
(*
z
(+
436.3997278161676
(* z (+ 544.9358906000987 (* z 606.656776085461))))))))
(/
(sin (* PI z))
(/ (* (sqrt (* PI 2.0)) (pow (- 7.5 z) (- 0.5 z))) (exp (- 7.5 z))))))
double code(double z) {
return (((double) M_PI) * ((((1.5056327351493116e-7 / (8.0 - z)) + ((-0.13857109526572012 / (6.0 - z)) + (9.984369578019572e-6 / (7.0 - z)))) + (12.507343278686905 / (5.0 - z))) + (260.9048120626994 + (z * (436.3997278161676 + (z * (544.9358906000987 + (z * 606.656776085461)))))))) / (sin((((double) M_PI) * z)) / ((sqrt((((double) M_PI) * 2.0)) * pow((7.5 - z), (0.5 - z))) / exp((7.5 - z))));
}
public static double code(double z) {
return (Math.PI * ((((1.5056327351493116e-7 / (8.0 - z)) + ((-0.13857109526572012 / (6.0 - z)) + (9.984369578019572e-6 / (7.0 - z)))) + (12.507343278686905 / (5.0 - z))) + (260.9048120626994 + (z * (436.3997278161676 + (z * (544.9358906000987 + (z * 606.656776085461)))))))) / (Math.sin((Math.PI * z)) / ((Math.sqrt((Math.PI * 2.0)) * Math.pow((7.5 - z), (0.5 - z))) / Math.exp((7.5 - z))));
}
def code(z): return (math.pi * ((((1.5056327351493116e-7 / (8.0 - z)) + ((-0.13857109526572012 / (6.0 - z)) + (9.984369578019572e-6 / (7.0 - z)))) + (12.507343278686905 / (5.0 - z))) + (260.9048120626994 + (z * (436.3997278161676 + (z * (544.9358906000987 + (z * 606.656776085461)))))))) / (math.sin((math.pi * z)) / ((math.sqrt((math.pi * 2.0)) * math.pow((7.5 - z), (0.5 - z))) / math.exp((7.5 - z))))
function code(z) return Float64(Float64(pi * Float64(Float64(Float64(Float64(1.5056327351493116e-7 / Float64(8.0 - z)) + Float64(Float64(-0.13857109526572012 / Float64(6.0 - z)) + Float64(9.984369578019572e-6 / Float64(7.0 - z)))) + Float64(12.507343278686905 / Float64(5.0 - z))) + Float64(260.9048120626994 + Float64(z * Float64(436.3997278161676 + Float64(z * Float64(544.9358906000987 + Float64(z * 606.656776085461)))))))) / Float64(sin(Float64(pi * z)) / Float64(Float64(sqrt(Float64(pi * 2.0)) * (Float64(7.5 - z) ^ Float64(0.5 - z))) / exp(Float64(7.5 - z))))) end
function tmp = code(z) tmp = (pi * ((((1.5056327351493116e-7 / (8.0 - z)) + ((-0.13857109526572012 / (6.0 - z)) + (9.984369578019572e-6 / (7.0 - z)))) + (12.507343278686905 / (5.0 - z))) + (260.9048120626994 + (z * (436.3997278161676 + (z * (544.9358906000987 + (z * 606.656776085461)))))))) / (sin((pi * z)) / ((sqrt((pi * 2.0)) * ((7.5 - z) ^ (0.5 - z))) / exp((7.5 - z)))); end
code[z_] := N[(N[(Pi * N[(N[(N[(N[(1.5056327351493116e-7 / N[(8.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(-0.13857109526572012 / N[(6.0 - z), $MachinePrecision]), $MachinePrecision] + N[(9.984369578019572e-6 / N[(7.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(12.507343278686905 / N[(5.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(260.9048120626994 + N[(z * N[(436.3997278161676 + N[(z * N[(544.9358906000987 + N[(z * 606.656776085461), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision] / N[(N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[Exp[N[(7.5 - z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\pi \cdot \left(\left(\left(\frac{1.5056327351493116 \cdot 10^{-7}}{8 - z} + \left(\frac{-0.13857109526572012}{6 - z} + \frac{9.984369578019572 \cdot 10^{-6}}{7 - z}\right)\right) + \frac{12.507343278686905}{5 - z}\right) + \left(260.9048120626994 + z \cdot \left(436.3997278161676 + z \cdot \left(544.9358906000987 + z \cdot 606.656776085461\right)\right)\right)\right)}{\frac{\sin \left(\pi \cdot z\right)}{\frac{\sqrt{\pi \cdot 2} \cdot {\left(7.5 - z\right)}^{\left(0.5 - z\right)}}{e^{7.5 - z}}}}
\end{array}
Initial program 95.4%
Simplified96.1%
Applied egg-rr96.0%
Taylor expanded in z around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f6497.4%
Simplified97.4%
Final simplification97.4%
(FPCore (z)
:precision binary64
(*
(+
(+
263.4062807184368
(*
z
(+
436.9000215473151
(* z (+ (* z 606.6767878347069) 545.0359493463282)))))
(+
(* z (+ -0.0038489909755188498 (* z -0.0006415034454343074)))
-0.023093737385366353))
(*
PI
(/
(/ (* (sqrt (* PI 2.0)) (pow (- 7.5 z) (- 0.5 z))) (exp (- 7.5 z)))
(sin (* PI z))))))
double code(double z) {
return ((263.4062807184368 + (z * (436.9000215473151 + (z * ((z * 606.6767878347069) + 545.0359493463282))))) + ((z * (-0.0038489909755188498 + (z * -0.0006415034454343074))) + -0.023093737385366353)) * (((double) M_PI) * (((sqrt((((double) M_PI) * 2.0)) * pow((7.5 - z), (0.5 - z))) / exp((7.5 - z))) / sin((((double) M_PI) * z))));
}
public static double code(double z) {
return ((263.4062807184368 + (z * (436.9000215473151 + (z * ((z * 606.6767878347069) + 545.0359493463282))))) + ((z * (-0.0038489909755188498 + (z * -0.0006415034454343074))) + -0.023093737385366353)) * (Math.PI * (((Math.sqrt((Math.PI * 2.0)) * Math.pow((7.5 - z), (0.5 - z))) / Math.exp((7.5 - z))) / Math.sin((Math.PI * z))));
}
def code(z): return ((263.4062807184368 + (z * (436.9000215473151 + (z * ((z * 606.6767878347069) + 545.0359493463282))))) + ((z * (-0.0038489909755188498 + (z * -0.0006415034454343074))) + -0.023093737385366353)) * (math.pi * (((math.sqrt((math.pi * 2.0)) * math.pow((7.5 - z), (0.5 - z))) / math.exp((7.5 - z))) / math.sin((math.pi * z))))
function code(z) return Float64(Float64(Float64(263.4062807184368 + Float64(z * Float64(436.9000215473151 + Float64(z * Float64(Float64(z * 606.6767878347069) + 545.0359493463282))))) + Float64(Float64(z * Float64(-0.0038489909755188498 + Float64(z * -0.0006415034454343074))) + -0.023093737385366353)) * Float64(pi * Float64(Float64(Float64(sqrt(Float64(pi * 2.0)) * (Float64(7.5 - z) ^ Float64(0.5 - z))) / exp(Float64(7.5 - z))) / sin(Float64(pi * z))))) end
function tmp = code(z) tmp = ((263.4062807184368 + (z * (436.9000215473151 + (z * ((z * 606.6767878347069) + 545.0359493463282))))) + ((z * (-0.0038489909755188498 + (z * -0.0006415034454343074))) + -0.023093737385366353)) * (pi * (((sqrt((pi * 2.0)) * ((7.5 - z) ^ (0.5 - z))) / exp((7.5 - z))) / sin((pi * z)))); end
code[z_] := N[(N[(N[(263.4062807184368 + N[(z * N[(436.9000215473151 + N[(z * N[(N[(z * 606.6767878347069), $MachinePrecision] + 545.0359493463282), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(z * N[(-0.0038489909755188498 + N[(z * -0.0006415034454343074), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + -0.023093737385366353), $MachinePrecision]), $MachinePrecision] * N[(Pi * N[(N[(N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[Exp[N[(7.5 - z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(263.4062807184368 + z \cdot \left(436.9000215473151 + z \cdot \left(z \cdot 606.6767878347069 + 545.0359493463282\right)\right)\right) + \left(z \cdot \left(-0.0038489909755188498 + z \cdot -0.0006415034454343074\right) + -0.023093737385366353\right)\right) \cdot \left(\pi \cdot \frac{\frac{\sqrt{\pi \cdot 2} \cdot {\left(7.5 - z\right)}^{\left(0.5 - z\right)}}{e^{7.5 - z}}}{\sin \left(\pi \cdot z\right)}\right)
\end{array}
Initial program 95.4%
Simplified96.1%
Applied egg-rr97.4%
Taylor expanded in z around 0
sub-negN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
metadata-eval97.4%
Simplified97.4%
Taylor expanded in z around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f6497.4%
Simplified97.4%
(FPCore (z)
:precision binary64
(*
(*
PI
(/
(/ (* (sqrt (* PI 2.0)) (pow (- 7.5 z) (- 0.5 z))) (exp (- 7.5 z)))
(sin (* PI z))))
(/
(- 69370.70318429549 (* (* z 436.8961725563396) (* z 436.8961725563396)))
(- 263.3831869810514 (* z 436.8961725563396)))))
double code(double z) {
return (((double) M_PI) * (((sqrt((((double) M_PI) * 2.0)) * pow((7.5 - z), (0.5 - z))) / exp((7.5 - z))) / sin((((double) M_PI) * z)))) * ((69370.70318429549 - ((z * 436.8961725563396) * (z * 436.8961725563396))) / (263.3831869810514 - (z * 436.8961725563396)));
}
public static double code(double z) {
return (Math.PI * (((Math.sqrt((Math.PI * 2.0)) * Math.pow((7.5 - z), (0.5 - z))) / Math.exp((7.5 - z))) / Math.sin((Math.PI * z)))) * ((69370.70318429549 - ((z * 436.8961725563396) * (z * 436.8961725563396))) / (263.3831869810514 - (z * 436.8961725563396)));
}
def code(z): return (math.pi * (((math.sqrt((math.pi * 2.0)) * math.pow((7.5 - z), (0.5 - z))) / math.exp((7.5 - z))) / math.sin((math.pi * z)))) * ((69370.70318429549 - ((z * 436.8961725563396) * (z * 436.8961725563396))) / (263.3831869810514 - (z * 436.8961725563396)))
function code(z) return Float64(Float64(pi * Float64(Float64(Float64(sqrt(Float64(pi * 2.0)) * (Float64(7.5 - z) ^ Float64(0.5 - z))) / exp(Float64(7.5 - z))) / sin(Float64(pi * z)))) * Float64(Float64(69370.70318429549 - Float64(Float64(z * 436.8961725563396) * Float64(z * 436.8961725563396))) / Float64(263.3831869810514 - Float64(z * 436.8961725563396)))) end
function tmp = code(z) tmp = (pi * (((sqrt((pi * 2.0)) * ((7.5 - z) ^ (0.5 - z))) / exp((7.5 - z))) / sin((pi * z)))) * ((69370.70318429549 - ((z * 436.8961725563396) * (z * 436.8961725563396))) / (263.3831869810514 - (z * 436.8961725563396))); end
code[z_] := N[(N[(Pi * N[(N[(N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[Exp[N[(7.5 - z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(69370.70318429549 - N[(N[(z * 436.8961725563396), $MachinePrecision] * N[(z * 436.8961725563396), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(263.3831869810514 - N[(z * 436.8961725563396), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\pi \cdot \frac{\frac{\sqrt{\pi \cdot 2} \cdot {\left(7.5 - z\right)}^{\left(0.5 - z\right)}}{e^{7.5 - z}}}{\sin \left(\pi \cdot z\right)}\right) \cdot \frac{69370.70318429549 - \left(z \cdot 436.8961725563396\right) \cdot \left(z \cdot 436.8961725563396\right)}{263.3831869810514 - z \cdot 436.8961725563396}
\end{array}
Initial program 95.4%
Simplified96.1%
Taylor expanded in z around 0
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f6495.8%
Simplified95.8%
flip-+N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
metadata-evalN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
--lowering--.f64N/A
*-lowering-*.f6497.0%
Applied egg-rr97.0%
Final simplification97.0%
(FPCore (z) :precision binary64 (* (/ (* (exp -7.5) (* (sqrt PI) 263.3831869810514)) z) (sqrt 15.0)))
double code(double z) {
return ((exp(-7.5) * (sqrt(((double) M_PI)) * 263.3831869810514)) / z) * sqrt(15.0);
}
public static double code(double z) {
return ((Math.exp(-7.5) * (Math.sqrt(Math.PI) * 263.3831869810514)) / z) * Math.sqrt(15.0);
}
def code(z): return ((math.exp(-7.5) * (math.sqrt(math.pi) * 263.3831869810514)) / z) * math.sqrt(15.0)
function code(z) return Float64(Float64(Float64(exp(-7.5) * Float64(sqrt(pi) * 263.3831869810514)) / z) * sqrt(15.0)) end
function tmp = code(z) tmp = ((exp(-7.5) * (sqrt(pi) * 263.3831869810514)) / z) * sqrt(15.0); end
code[z_] := N[(N[(N[(N[Exp[-7.5], $MachinePrecision] * N[(N[Sqrt[Pi], $MachinePrecision] * 263.3831869810514), $MachinePrecision]), $MachinePrecision] / z), $MachinePrecision] * N[Sqrt[15.0], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{e^{-7.5} \cdot \left(\sqrt{\pi} \cdot 263.3831869810514\right)}{z} \cdot \sqrt{15}
\end{array}
Initial program 95.4%
Taylor expanded in z around 0
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
associate-/l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
PI-lowering-PI.f6496.4%
Simplified96.4%
associate-*l*N/A
*-lowering-*.f64N/A
sqrt-unprodN/A
sqrt-lowering-sqrt.f64N/A
metadata-evalN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
PI-lowering-PI.f6496.4%
Applied egg-rr96.4%
*-commutativeN/A
*-lowering-*.f64N/A
associate-*l/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
exp-lowering-exp.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
PI-lowering-PI.f64N/A
sqrt-lowering-sqrt.f6496.7%
Applied egg-rr96.7%
Final simplification96.7%
(FPCore (z) :precision binary64 (* (* (sqrt PI) 263.3831869810514) (* (sqrt 15.0) (/ (exp -7.5) z))))
double code(double z) {
return (sqrt(((double) M_PI)) * 263.3831869810514) * (sqrt(15.0) * (exp(-7.5) / z));
}
public static double code(double z) {
return (Math.sqrt(Math.PI) * 263.3831869810514) * (Math.sqrt(15.0) * (Math.exp(-7.5) / z));
}
def code(z): return (math.sqrt(math.pi) * 263.3831869810514) * (math.sqrt(15.0) * (math.exp(-7.5) / z))
function code(z) return Float64(Float64(sqrt(pi) * 263.3831869810514) * Float64(sqrt(15.0) * Float64(exp(-7.5) / z))) end
function tmp = code(z) tmp = (sqrt(pi) * 263.3831869810514) * (sqrt(15.0) * (exp(-7.5) / z)); end
code[z_] := N[(N[(N[Sqrt[Pi], $MachinePrecision] * 263.3831869810514), $MachinePrecision] * N[(N[Sqrt[15.0], $MachinePrecision] * N[(N[Exp[-7.5], $MachinePrecision] / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\sqrt{\pi} \cdot 263.3831869810514\right) \cdot \left(\sqrt{15} \cdot \frac{e^{-7.5}}{z}\right)
\end{array}
Initial program 95.4%
Taylor expanded in z around 0
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
associate-/l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
PI-lowering-PI.f6496.4%
Simplified96.4%
*-commutativeN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
sqrt-unprodN/A
sqrt-lowering-sqrt.f64N/A
metadata-eval96.4%
Applied egg-rr96.4%
Final simplification96.4%
(FPCore (z) :precision binary64 (* (sqrt 15.0) (* (* (sqrt PI) 263.3831869810514) (/ (exp -7.5) z))))
double code(double z) {
return sqrt(15.0) * ((sqrt(((double) M_PI)) * 263.3831869810514) * (exp(-7.5) / z));
}
public static double code(double z) {
return Math.sqrt(15.0) * ((Math.sqrt(Math.PI) * 263.3831869810514) * (Math.exp(-7.5) / z));
}
def code(z): return math.sqrt(15.0) * ((math.sqrt(math.pi) * 263.3831869810514) * (math.exp(-7.5) / z))
function code(z) return Float64(sqrt(15.0) * Float64(Float64(sqrt(pi) * 263.3831869810514) * Float64(exp(-7.5) / z))) end
function tmp = code(z) tmp = sqrt(15.0) * ((sqrt(pi) * 263.3831869810514) * (exp(-7.5) / z)); end
code[z_] := N[(N[Sqrt[15.0], $MachinePrecision] * N[(N[(N[Sqrt[Pi], $MachinePrecision] * 263.3831869810514), $MachinePrecision] * N[(N[Exp[-7.5], $MachinePrecision] / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt{15} \cdot \left(\left(\sqrt{\pi} \cdot 263.3831869810514\right) \cdot \frac{e^{-7.5}}{z}\right)
\end{array}
Initial program 95.4%
Taylor expanded in z around 0
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
associate-/l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
PI-lowering-PI.f6496.4%
Simplified96.4%
associate-*l*N/A
*-lowering-*.f64N/A
sqrt-unprodN/A
sqrt-lowering-sqrt.f64N/A
metadata-evalN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
PI-lowering-PI.f6496.4%
Applied egg-rr96.4%
Final simplification96.4%
(FPCore (z) :precision binary64 (* (sqrt 15.0) (* (sqrt PI) (* 263.3831869810514 (/ (exp -7.5) z)))))
double code(double z) {
return sqrt(15.0) * (sqrt(((double) M_PI)) * (263.3831869810514 * (exp(-7.5) / z)));
}
public static double code(double z) {
return Math.sqrt(15.0) * (Math.sqrt(Math.PI) * (263.3831869810514 * (Math.exp(-7.5) / z)));
}
def code(z): return math.sqrt(15.0) * (math.sqrt(math.pi) * (263.3831869810514 * (math.exp(-7.5) / z)))
function code(z) return Float64(sqrt(15.0) * Float64(sqrt(pi) * Float64(263.3831869810514 * Float64(exp(-7.5) / z)))) end
function tmp = code(z) tmp = sqrt(15.0) * (sqrt(pi) * (263.3831869810514 * (exp(-7.5) / z))); end
code[z_] := N[(N[Sqrt[15.0], $MachinePrecision] * N[(N[Sqrt[Pi], $MachinePrecision] * N[(263.3831869810514 * N[(N[Exp[-7.5], $MachinePrecision] / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt{15} \cdot \left(\sqrt{\pi} \cdot \left(263.3831869810514 \cdot \frac{e^{-7.5}}{z}\right)\right)
\end{array}
Initial program 95.4%
Taylor expanded in z around 0
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
associate-/l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
PI-lowering-PI.f6496.4%
Simplified96.4%
associate-*l*N/A
*-lowering-*.f64N/A
sqrt-unprodN/A
sqrt-lowering-sqrt.f64N/A
metadata-evalN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
PI-lowering-PI.f6496.4%
Applied egg-rr96.4%
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
sqrt-lowering-sqrt.f64N/A
PI-lowering-PI.f6496.3%
Applied egg-rr96.3%
Final simplification96.3%
(FPCore (z) :precision binary64 (* 263.3831869810514 (/ (* (exp -7.5) (sqrt (* PI 15.0))) z)))
double code(double z) {
return 263.3831869810514 * ((exp(-7.5) * sqrt((((double) M_PI) * 15.0))) / z);
}
public static double code(double z) {
return 263.3831869810514 * ((Math.exp(-7.5) * Math.sqrt((Math.PI * 15.0))) / z);
}
def code(z): return 263.3831869810514 * ((math.exp(-7.5) * math.sqrt((math.pi * 15.0))) / z)
function code(z) return Float64(263.3831869810514 * Float64(Float64(exp(-7.5) * sqrt(Float64(pi * 15.0))) / z)) end
function tmp = code(z) tmp = 263.3831869810514 * ((exp(-7.5) * sqrt((pi * 15.0))) / z); end
code[z_] := N[(263.3831869810514 * N[(N[(N[Exp[-7.5], $MachinePrecision] * N[Sqrt[N[(Pi * 15.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / z), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
263.3831869810514 \cdot \frac{e^{-7.5} \cdot \sqrt{\pi \cdot 15}}{z}
\end{array}
Initial program 95.4%
Taylor expanded in z around 0
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
associate-/l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
PI-lowering-PI.f6496.4%
Simplified96.4%
associate-*l*N/A
*-lowering-*.f64N/A
sqrt-unprodN/A
sqrt-lowering-sqrt.f64N/A
metadata-evalN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
PI-lowering-PI.f6496.4%
Applied egg-rr96.4%
Taylor expanded in z around 0
*-lowering-*.f64N/A
associate-*l/N/A
/-lowering-/.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
exp-lowering-exp.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
PI-lowering-PI.f6496.1%
Simplified96.1%
*-commutativeN/A
metadata-evalN/A
sqrt-unprodN/A
associate-*r*N/A
*-lowering-*.f64N/A
associate-*r*N/A
sqrt-unprodN/A
metadata-evalN/A
sqrt-unprodN/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
PI-lowering-PI.f64N/A
exp-lowering-exp.f6496.1%
Applied egg-rr96.1%
Final simplification96.1%
(FPCore (z) :precision binary64 (* 263.3831869810514 (* (exp -7.5) (/ (sqrt (* PI 15.0)) z))))
double code(double z) {
return 263.3831869810514 * (exp(-7.5) * (sqrt((((double) M_PI) * 15.0)) / z));
}
public static double code(double z) {
return 263.3831869810514 * (Math.exp(-7.5) * (Math.sqrt((Math.PI * 15.0)) / z));
}
def code(z): return 263.3831869810514 * (math.exp(-7.5) * (math.sqrt((math.pi * 15.0)) / z))
function code(z) return Float64(263.3831869810514 * Float64(exp(-7.5) * Float64(sqrt(Float64(pi * 15.0)) / z))) end
function tmp = code(z) tmp = 263.3831869810514 * (exp(-7.5) * (sqrt((pi * 15.0)) / z)); end
code[z_] := N[(263.3831869810514 * N[(N[Exp[-7.5], $MachinePrecision] * N[(N[Sqrt[N[(Pi * 15.0), $MachinePrecision]], $MachinePrecision] / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
263.3831869810514 \cdot \left(e^{-7.5} \cdot \frac{\sqrt{\pi \cdot 15}}{z}\right)
\end{array}
Initial program 95.4%
Taylor expanded in z around 0
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
associate-/l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
PI-lowering-PI.f6496.4%
Simplified96.4%
associate-*l*N/A
*-lowering-*.f64N/A
sqrt-unprodN/A
sqrt-lowering-sqrt.f64N/A
metadata-evalN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
PI-lowering-PI.f6496.4%
Applied egg-rr96.4%
Taylor expanded in z around 0
*-lowering-*.f64N/A
associate-*l/N/A
/-lowering-/.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
exp-lowering-exp.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
PI-lowering-PI.f6496.1%
Simplified96.1%
associate-/l*N/A
*-lowering-*.f64N/A
exp-lowering-exp.f64N/A
metadata-evalN/A
sqrt-unprodN/A
associate-*r*N/A
/-lowering-/.f64N/A
associate-*r*N/A
sqrt-unprodN/A
metadata-evalN/A
sqrt-unprodN/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
PI-lowering-PI.f6495.7%
Applied egg-rr95.7%
Final simplification95.7%
herbie shell --seed 2024141
(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))))))