Jmat.Real.gamma, branch z less than 0.5

Percentage Accurate: 96.2% → 98.1%

Time: 1.6min

Alternatives: 8

Speedup: 1.2×

• could not determine a ground truth

  1. z = -4.774325967995414e+175

Specification

\[z \leq 0.5\]

Math

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \left(1 - z\right) - 1\\ t_1 := t\_0 + 7\\ t_2 := t\_1 + 0.5\\ \frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\sqrt{\pi \cdot 2} \cdot {t\_2}^{\left(t\_0 + 0.5\right)}\right) \cdot e^{-t\_2}\right) \cdot \left(\left(\left(\left(\left(\left(\left(\left(0.9999999999998099 + \frac{676.5203681218851}{t\_0 + 1}\right) + \frac{-1259.1392167224028}{t\_0 + 2}\right) + \frac{771.3234287776531}{t\_0 + 3}\right) + \frac{-176.6150291621406}{t\_0 + 4}\right) + \frac{12.507343278686905}{t\_0 + 5}\right) + \frac{-0.13857109526572012}{t\_0 + 6}\right) + \frac{9.984369578019572 \cdot 10^{-6}}{t\_1}\right) + \frac{1.5056327351493116 \cdot 10^{-7}}{t\_0 + 8}\right)\right) \end{array} \end{array} \]

FPCore

(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)))))))

C

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))));
}

Java

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))));
}

Python

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))))

Julia

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

MATLAB

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

Wolfram

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]]]]

Initial Program: 96.2% accurate, 1.0× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \left(1 - z\right) - 1\\ t_1 := t\_0 + 7\\ t_2 := t\_1 + 0.5\\ \frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\sqrt{\pi \cdot 2} \cdot {t\_2}^{\left(t\_0 + 0.5\right)}\right) \cdot e^{-t\_2}\right) \cdot \left(\left(\left(\left(\left(\left(\left(\left(0.9999999999998099 + \frac{676.5203681218851}{t\_0 + 1}\right) + \frac{-1259.1392167224028}{t\_0 + 2}\right) + \frac{771.3234287776531}{t\_0 + 3}\right) + \frac{-176.6150291621406}{t\_0 + 4}\right) + \frac{12.507343278686905}{t\_0 + 5}\right) + \frac{-0.13857109526572012}{t\_0 + 6}\right) + \frac{9.984369578019572 \cdot 10^{-6}}{t\_1}\right) + \frac{1.5056327351493116 \cdot 10^{-7}}{t\_0 + 8}\right)\right) \end{array} \end{array} \]

FPCore

(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)))))))

C

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))));
}

Java

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))));
}

Python

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))))

Julia

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

MATLAB

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

Wolfram

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]]]]

Alternative 1: 98.1% accurate, 1.1× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \left(1 - z\right) + -1\\ \frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left({\left(\left(t\_0 + 7\right) + 0.5\right)}^{\left(t\_0 + 0.5\right)} \cdot \sqrt{\pi \cdot 2}\right) \cdot e^{\left(\left(1 - \left(1 - z\right)\right) - 7\right) - 0.5}\right) \cdot \left(\left(\left(0.9999999999998099 - \left(\left(\frac{771.3234287776531}{z - 3} - \frac{-1259.1392167224028}{2 - z}\right) - \frac{676.5203681218851}{1 - z}\right)\right) + \frac{-176.6150291621406}{4 - z}\right) + \left(\left(\frac{-0.13857109526572012}{6 - z} - \frac{12.507343278686905}{z - 5}\right) + \left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \frac{1.5056327351493116 \cdot 10^{-7}}{8 - z}\right)\right)\right)\right) \end{array} \end{array} \]

FPCore

(FPCore (z)
 :precision binary64
 (let* ((t_0 (+ (- 1.0 z) -1.0)))
   (*
    (/ PI (sin (* PI z)))
    (*
     (*
      (* (pow (+ (+ t_0 7.0) 0.5) (+ t_0 0.5)) (sqrt (* PI 2.0)))
      (exp (- (- (- 1.0 (- 1.0 z)) 7.0) 0.5)))
     (+
      (+
       (-
        0.9999999999998099
        (-
         (- (/ 771.3234287776531 (- z 3.0)) (/ -1259.1392167224028 (- 2.0 z)))
         (/ 676.5203681218851 (- 1.0 z))))
       (/ -176.6150291621406 (- 4.0 z)))
      (+
       (- (/ -0.13857109526572012 (- 6.0 z)) (/ 12.507343278686905 (- z 5.0)))
       (+
        (/ 9.984369578019572e-6 (- 7.0 z))
        (/ 1.5056327351493116e-7 (- 8.0 z)))))))))

C

double code(double z) {
	double t_0 = (1.0 - z) + -1.0;
	return (((double) M_PI) / sin((((double) M_PI) * z))) * (((pow(((t_0 + 7.0) + 0.5), (t_0 + 0.5)) * sqrt((((double) M_PI) * 2.0))) * exp((((1.0 - (1.0 - z)) - 7.0) - 0.5))) * (((0.9999999999998099 - (((771.3234287776531 / (z - 3.0)) - (-1259.1392167224028 / (2.0 - z))) - (676.5203681218851 / (1.0 - z)))) + (-176.6150291621406 / (4.0 - z))) + (((-0.13857109526572012 / (6.0 - z)) - (12.507343278686905 / (z - 5.0))) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))))));
}

Java

public static double code(double z) {
	double t_0 = (1.0 - z) + -1.0;
	return (Math.PI / Math.sin((Math.PI * z))) * (((Math.pow(((t_0 + 7.0) + 0.5), (t_0 + 0.5)) * Math.sqrt((Math.PI * 2.0))) * Math.exp((((1.0 - (1.0 - z)) - 7.0) - 0.5))) * (((0.9999999999998099 - (((771.3234287776531 / (z - 3.0)) - (-1259.1392167224028 / (2.0 - z))) - (676.5203681218851 / (1.0 - z)))) + (-176.6150291621406 / (4.0 - z))) + (((-0.13857109526572012 / (6.0 - z)) - (12.507343278686905 / (z - 5.0))) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))))));
}

Python

def code(z):
	t_0 = (1.0 - z) + -1.0
	return (math.pi / math.sin((math.pi * z))) * (((math.pow(((t_0 + 7.0) + 0.5), (t_0 + 0.5)) * math.sqrt((math.pi * 2.0))) * math.exp((((1.0 - (1.0 - z)) - 7.0) - 0.5))) * (((0.9999999999998099 - (((771.3234287776531 / (z - 3.0)) - (-1259.1392167224028 / (2.0 - z))) - (676.5203681218851 / (1.0 - z)))) + (-176.6150291621406 / (4.0 - z))) + (((-0.13857109526572012 / (6.0 - z)) - (12.507343278686905 / (z - 5.0))) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))))))

Julia

function code(z)
	t_0 = Float64(Float64(1.0 - z) + -1.0)
	return Float64(Float64(pi / sin(Float64(pi * z))) * Float64(Float64(Float64((Float64(Float64(t_0 + 7.0) + 0.5) ^ Float64(t_0 + 0.5)) * sqrt(Float64(pi * 2.0))) * exp(Float64(Float64(Float64(1.0 - Float64(1.0 - z)) - 7.0) - 0.5))) * Float64(Float64(Float64(0.9999999999998099 - Float64(Float64(Float64(771.3234287776531 / Float64(z - 3.0)) - Float64(-1259.1392167224028 / Float64(2.0 - z))) - Float64(676.5203681218851 / Float64(1.0 - z)))) + Float64(-176.6150291621406 / Float64(4.0 - z))) + Float64(Float64(Float64(-0.13857109526572012 / Float64(6.0 - z)) - Float64(12.507343278686905 / Float64(z - 5.0))) + Float64(Float64(9.984369578019572e-6 / Float64(7.0 - z)) + Float64(1.5056327351493116e-7 / Float64(8.0 - z)))))))
end

MATLAB

function tmp = code(z)
	t_0 = (1.0 - z) + -1.0;
	tmp = (pi / sin((pi * z))) * ((((((t_0 + 7.0) + 0.5) ^ (t_0 + 0.5)) * sqrt((pi * 2.0))) * exp((((1.0 - (1.0 - z)) - 7.0) - 0.5))) * (((0.9999999999998099 - (((771.3234287776531 / (z - 3.0)) - (-1259.1392167224028 / (2.0 - z))) - (676.5203681218851 / (1.0 - z)))) + (-176.6150291621406 / (4.0 - z))) + (((-0.13857109526572012 / (6.0 - z)) - (12.507343278686905 / (z - 5.0))) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))))));
end

Wolfram

code[z_] := Block[{t$95$0 = N[(N[(1.0 - z), $MachinePrecision] + -1.0), $MachinePrecision]}, N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[Power[N[(N[(t$95$0 + 7.0), $MachinePrecision] + 0.5), $MachinePrecision], N[(t$95$0 + 0.5), $MachinePrecision]], $MachinePrecision] * N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Exp[N[(N[(N[(1.0 - N[(1.0 - z), $MachinePrecision]), $MachinePrecision] - 7.0), $MachinePrecision] - 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(0.9999999999998099 - N[(N[(N[(771.3234287776531 / N[(z - 3.0), $MachinePrecision]), $MachinePrecision] - N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-176.6150291621406 / N[(4.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(-0.13857109526572012 / N[(6.0 - z), $MachinePrecision]), $MachinePrecision] - N[(12.507343278686905 / N[(z - 5.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(9.984369578019572e-6 / N[(7.0 - z), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(8.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]

Derivation

1. Initial program 96.6%

   \[\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\sqrt{\pi \cdot 2} \cdot {\left(\left(\left(\left(1 - z\right) - 1\right) + 7\right) + 0.5\right)}^{\left(\left(\left(1 - z\right) - 1\right) + 0.5\right)}\right) \cdot e^{-\left(\left(\left(\left(1 - z\right) - 1\right) + 7\right) + 0.5\right)}\right) \cdot \left(\left(\left(\left(\left(\left(\left(\left(0.9999999999998099 + \frac{676.5203681218851}{\left(\left(1 - z\right) - 1\right) + 1}\right) + \frac{-1259.1392167224028}{\left(\left(1 - z\right) - 1\right) + 2}\right) + \frac{771.3234287776531}{\left(\left(1 - z\right) - 1\right) + 3}\right) + \frac{-176.6150291621406}{\left(\left(1 - z\right) - 1\right) + 4}\right) + \frac{12.507343278686905}{\left(\left(1 - z\right) - 1\right) + 5}\right) + \frac{-0.13857109526572012}{\left(\left(1 - z\right) - 1\right) + 6}\right) + \frac{9.984369578019572 \cdot 10^{-6}}{\left(\left(1 - z\right) - 1\right) + 7}\right) + \frac{1.5056327351493116 \cdot 10^{-7}}{\left(\left(1 - z\right) - 1\right) + 8}\right)\right) \]
2. Add Preprocessing

4. Applied egg-rr 97.7%

   \[\leadsto \frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\sqrt{\pi \cdot 2} \cdot {\left(\left(\left(\left(1 - z\right) - 1\right) + 7\right) + 0.5\right)}^{\left(\left(\left(1 - z\right) - 1\right) + 0.5\right)}\right) \cdot e^{-\left(\left(\left(\left(1 - z\right) - 1\right) + 7\right) + 0.5\right)}\right) \cdot \color{blue}{\left(1 \cdot \left(\left(\left(\left(\left(0.9999999999998099 + \frac{676.5203681218851}{1 - z}\right) + \left(\frac{-1259.1392167224028}{\left(-z\right) + 2} + \frac{771.3234287776531}{\left(-z\right) + 3}\right)\right) + \frac{-176.6150291621406}{\left(-z\right) + 4}\right) + \left(\frac{12.507343278686905}{\left(-z\right) + 5} + \frac{-0.13857109526572012}{\left(-z\right) + 6}\right)\right) + \left(\frac{9.984369578019572 \cdot 10^{-6}}{\left(-z\right) + 7} + \frac{1.5056327351493116 \cdot 10^{-7}}{\left(-z\right) + 8}\right)\right)\right)}\right) \]
5. Step-by-step derivation

   1. *-lft-identity 97.7%

      \[\leadsto \frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\sqrt{\pi \cdot 2} \cdot {\left(\left(\left(\left(1 - z\right) - 1\right) + 7\right) + 0.5\right)}^{\left(\left(\left(1 - z\right) - 1\right) + 0.5\right)}\right) \cdot e^{-\left(\left(\left(\left(1 - z\right) - 1\right) + 7\right) + 0.5\right)}\right) \cdot \color{blue}{\left(\left(\left(\left(\left(0.9999999999998099 + \frac{676.5203681218851}{1 - z}\right) + \left(\frac{-1259.1392167224028}{\left(-z\right) + 2} + \frac{771.3234287776531}{\left(-z\right) + 3}\right)\right) + \frac{-176.6150291621406}{\left(-z\right) + 4}\right) + \left(\frac{12.507343278686905}{\left(-z\right) + 5} + \frac{-0.13857109526572012}{\left(-z\right) + 6}\right)\right) + \left(\frac{9.984369578019572 \cdot 10^{-6}}{\left(-z\right) + 7} + \frac{1.5056327351493116 \cdot 10^{-7}}{\left(-z\right) + 8}\right)\right)}\right) \]

   2. associate-+l+ 97.7%

      \[\leadsto \frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\sqrt{\pi \cdot 2} \cdot {\left(\left(\left(\left(1 - z\right) - 1\right) + 7\right) + 0.5\right)}^{\left(\left(\left(1 - z\right) - 1\right) + 0.5\right)}\right) \cdot e^{-\left(\left(\left(\left(1 - z\right) - 1\right) + 7\right) + 0.5\right)}\right) \cdot \color{blue}{\left(\left(\left(\left(0.9999999999998099 + \frac{676.5203681218851}{1 - z}\right) + \left(\frac{-1259.1392167224028}{\left(-z\right) + 2} + \frac{771.3234287776531}{\left(-z\right) + 3}\right)\right) + \frac{-176.6150291621406}{\left(-z\right) + 4}\right) + \left(\left(\frac{12.507343278686905}{\left(-z\right) + 5} + \frac{-0.13857109526572012}{\left(-z\right) + 6}\right) + \left(\frac{9.984369578019572 \cdot 10^{-6}}{\left(-z\right) + 7} + \frac{1.5056327351493116 \cdot 10^{-7}}{\left(-z\right) + 8}\right)\right)\right)}\right) \]

6. Simplified 98.5%

   \[\leadsto \frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\sqrt{\pi \cdot 2} \cdot {\left(\left(\left(\left(1 - z\right) - 1\right) + 7\right) + 0.5\right)}^{\left(\left(\left(1 - z\right) - 1\right) + 0.5\right)}\right) \cdot e^{-\left(\left(\left(\left(1 - z\right) - 1\right) + 7\right) + 0.5\right)}\right) \cdot \color{blue}{\left(\left(\left(0.9999999999998099 + \left(\frac{676.5203681218851}{1 - z} + \left(\frac{-1259.1392167224028}{2 + \left(-z\right)} + \frac{771.3234287776531}{3 + \left(-z\right)}\right)\right)\right) + \frac{-176.6150291621406}{\left(-z\right) + 4}\right) + \left(\left(\frac{12.507343278686905}{\left(-z\right) + 5} + \frac{-0.13857109526572012}{\left(-z\right) + 6}\right) + \left(\frac{9.984369578019572 \cdot 10^{-6}}{\left(-z\right) + 7} + \frac{1.5056327351493116 \cdot 10^{-7}}{\left(-z\right) + 8}\right)\right)\right)}\right) \]

7. Final simplification 98.5%

   \[\leadsto \frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left({\left(\left(\left(\left(1 - z\right) + -1\right) + 7\right) + 0.5\right)}^{\left(\left(\left(1 - z\right) + -1\right) + 0.5\right)} \cdot \sqrt{\pi \cdot 2}\right) \cdot e^{\left(\left(1 - \left(1 - z\right)\right) - 7\right) - 0.5}\right) \cdot \left(\left(\left(0.9999999999998099 - \left(\left(\frac{771.3234287776531}{z - 3} - \frac{-1259.1392167224028}{2 - z}\right) - \frac{676.5203681218851}{1 - z}\right)\right) + \frac{-176.6150291621406}{4 - z}\right) + \left(\left(\frac{-0.13857109526572012}{6 - z} - \frac{12.507343278686905}{z - 5}\right) + \left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \frac{1.5056327351493116 \cdot 10^{-7}}{8 - z}\right)\right)\right)\right) \]
8. Add Preprocessing

Alternative 2: 98.1% accurate, 1.1× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \left(1 - z\right) + -1\\ \frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left({\left(\left(t\_0 + 7\right) + 0.5\right)}^{\left(t\_0 + 0.5\right)} \cdot \sqrt{\pi \cdot 2}\right) \cdot e^{\left(\left(1 - \left(1 - z\right)\right) - 7\right) - 0.5}\right) \cdot \left(\left(0.9999999999998099 - \left(\left(\frac{771.3234287776531}{z - 3} - \frac{-1259.1392167224028}{2 - z}\right) - \frac{676.5203681218851}{1 - z}\right)\right) + \left(\left(\frac{-176.6150291621406}{4 - z} + \left(\frac{-0.13857109526572012}{6 - z} - \frac{12.507343278686905}{z - 5}\right)\right) + \left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \frac{1.5056327351493116 \cdot 10^{-7}}{8 - z}\right)\right)\right)\right) \end{array} \end{array} \]

FPCore

(FPCore (z)
 :precision binary64
 (let* ((t_0 (+ (- 1.0 z) -1.0)))
   (*
    (/ PI (sin (* PI z)))
    (*
     (*
      (* (pow (+ (+ t_0 7.0) 0.5) (+ t_0 0.5)) (sqrt (* PI 2.0)))
      (exp (- (- (- 1.0 (- 1.0 z)) 7.0) 0.5)))
     (+
      (-
       0.9999999999998099
       (-
        (- (/ 771.3234287776531 (- z 3.0)) (/ -1259.1392167224028 (- 2.0 z)))
        (/ 676.5203681218851 (- 1.0 z))))
      (+
       (+
        (/ -176.6150291621406 (- 4.0 z))
        (-
         (/ -0.13857109526572012 (- 6.0 z))
         (/ 12.507343278686905 (- z 5.0))))
       (+
        (/ 9.984369578019572e-6 (- 7.0 z))
        (/ 1.5056327351493116e-7 (- 8.0 z)))))))))

C

double code(double z) {
	double t_0 = (1.0 - z) + -1.0;
	return (((double) M_PI) / sin((((double) M_PI) * z))) * (((pow(((t_0 + 7.0) + 0.5), (t_0 + 0.5)) * sqrt((((double) M_PI) * 2.0))) * exp((((1.0 - (1.0 - z)) - 7.0) - 0.5))) * ((0.9999999999998099 - (((771.3234287776531 / (z - 3.0)) - (-1259.1392167224028 / (2.0 - z))) - (676.5203681218851 / (1.0 - z)))) + (((-176.6150291621406 / (4.0 - z)) + ((-0.13857109526572012 / (6.0 - z)) - (12.507343278686905 / (z - 5.0)))) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))))));
}

Java

public static double code(double z) {
	double t_0 = (1.0 - z) + -1.0;
	return (Math.PI / Math.sin((Math.PI * z))) * (((Math.pow(((t_0 + 7.0) + 0.5), (t_0 + 0.5)) * Math.sqrt((Math.PI * 2.0))) * Math.exp((((1.0 - (1.0 - z)) - 7.0) - 0.5))) * ((0.9999999999998099 - (((771.3234287776531 / (z - 3.0)) - (-1259.1392167224028 / (2.0 - z))) - (676.5203681218851 / (1.0 - z)))) + (((-176.6150291621406 / (4.0 - z)) + ((-0.13857109526572012 / (6.0 - z)) - (12.507343278686905 / (z - 5.0)))) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))))));
}

Python

def code(z):
	t_0 = (1.0 - z) + -1.0
	return (math.pi / math.sin((math.pi * z))) * (((math.pow(((t_0 + 7.0) + 0.5), (t_0 + 0.5)) * math.sqrt((math.pi * 2.0))) * math.exp((((1.0 - (1.0 - z)) - 7.0) - 0.5))) * ((0.9999999999998099 - (((771.3234287776531 / (z - 3.0)) - (-1259.1392167224028 / (2.0 - z))) - (676.5203681218851 / (1.0 - z)))) + (((-176.6150291621406 / (4.0 - z)) + ((-0.13857109526572012 / (6.0 - z)) - (12.507343278686905 / (z - 5.0)))) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))))))

Julia

function code(z)
	t_0 = Float64(Float64(1.0 - z) + -1.0)
	return Float64(Float64(pi / sin(Float64(pi * z))) * Float64(Float64(Float64((Float64(Float64(t_0 + 7.0) + 0.5) ^ Float64(t_0 + 0.5)) * sqrt(Float64(pi * 2.0))) * exp(Float64(Float64(Float64(1.0 - Float64(1.0 - z)) - 7.0) - 0.5))) * Float64(Float64(0.9999999999998099 - Float64(Float64(Float64(771.3234287776531 / Float64(z - 3.0)) - Float64(-1259.1392167224028 / Float64(2.0 - z))) - Float64(676.5203681218851 / Float64(1.0 - z)))) + Float64(Float64(Float64(-176.6150291621406 / Float64(4.0 - z)) + Float64(Float64(-0.13857109526572012 / Float64(6.0 - z)) - Float64(12.507343278686905 / Float64(z - 5.0)))) + Float64(Float64(9.984369578019572e-6 / Float64(7.0 - z)) + Float64(1.5056327351493116e-7 / Float64(8.0 - z)))))))
end

MATLAB

function tmp = code(z)
	t_0 = (1.0 - z) + -1.0;
	tmp = (pi / sin((pi * z))) * ((((((t_0 + 7.0) + 0.5) ^ (t_0 + 0.5)) * sqrt((pi * 2.0))) * exp((((1.0 - (1.0 - z)) - 7.0) - 0.5))) * ((0.9999999999998099 - (((771.3234287776531 / (z - 3.0)) - (-1259.1392167224028 / (2.0 - z))) - (676.5203681218851 / (1.0 - z)))) + (((-176.6150291621406 / (4.0 - z)) + ((-0.13857109526572012 / (6.0 - z)) - (12.507343278686905 / (z - 5.0)))) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))))));
end

Wolfram

code[z_] := Block[{t$95$0 = N[(N[(1.0 - z), $MachinePrecision] + -1.0), $MachinePrecision]}, N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[Power[N[(N[(t$95$0 + 7.0), $MachinePrecision] + 0.5), $MachinePrecision], N[(t$95$0 + 0.5), $MachinePrecision]], $MachinePrecision] * N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Exp[N[(N[(N[(1.0 - N[(1.0 - z), $MachinePrecision]), $MachinePrecision] - 7.0), $MachinePrecision] - 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(0.9999999999998099 - N[(N[(N[(771.3234287776531 / N[(z - 3.0), $MachinePrecision]), $MachinePrecision] - N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(-176.6150291621406 / N[(4.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(-0.13857109526572012 / N[(6.0 - z), $MachinePrecision]), $MachinePrecision] - N[(12.507343278686905 / N[(z - 5.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(9.984369578019572e-6 / N[(7.0 - z), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(8.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]

Derivation

1. Initial program 96.6%

   \[\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\sqrt{\pi \cdot 2} \cdot {\left(\left(\left(\left(1 - z\right) - 1\right) + 7\right) + 0.5\right)}^{\left(\left(\left(1 - z\right) - 1\right) + 0.5\right)}\right) \cdot e^{-\left(\left(\left(\left(1 - z\right) - 1\right) + 7\right) + 0.5\right)}\right) \cdot \left(\left(\left(\left(\left(\left(\left(\left(0.9999999999998099 + \frac{676.5203681218851}{\left(\left(1 - z\right) - 1\right) + 1}\right) + \frac{-1259.1392167224028}{\left(\left(1 - z\right) - 1\right) + 2}\right) + \frac{771.3234287776531}{\left(\left(1 - z\right) - 1\right) + 3}\right) + \frac{-176.6150291621406}{\left(\left(1 - z\right) - 1\right) + 4}\right) + \frac{12.507343278686905}{\left(\left(1 - z\right) - 1\right) + 5}\right) + \frac{-0.13857109526572012}{\left(\left(1 - z\right) - 1\right) + 6}\right) + \frac{9.984369578019572 \cdot 10^{-6}}{\left(\left(1 - z\right) - 1\right) + 7}\right) + \frac{1.5056327351493116 \cdot 10^{-7}}{\left(\left(1 - z\right) - 1\right) + 8}\right)\right) \]
2. Add Preprocessing

4. Applied egg-rr 97.7%

   \[\leadsto \frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\sqrt{\pi \cdot 2} \cdot {\left(\left(\left(\left(1 - z\right) - 1\right) + 7\right) + 0.5\right)}^{\left(\left(\left(1 - z\right) - 1\right) + 0.5\right)}\right) \cdot e^{-\left(\left(\left(\left(1 - z\right) - 1\right) + 7\right) + 0.5\right)}\right) \cdot \color{blue}{\left(1 \cdot \left(\left(\left(\left(\left(0.9999999999998099 + \frac{676.5203681218851}{1 - z}\right) + \left(\frac{-1259.1392167224028}{\left(-z\right) + 2} + \frac{771.3234287776531}{\left(-z\right) + 3}\right)\right) + \frac{-176.6150291621406}{\left(-z\right) + 4}\right) + \left(\frac{12.507343278686905}{\left(-z\right) + 5} + \frac{-0.13857109526572012}{\left(-z\right) + 6}\right)\right) + \left(\frac{9.984369578019572 \cdot 10^{-6}}{\left(-z\right) + 7} + \frac{1.5056327351493116 \cdot 10^{-7}}{\left(-z\right) + 8}\right)\right)\right)}\right) \]

6. Simplified 98.5%

   \[\leadsto \frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\sqrt{\pi \cdot 2} \cdot {\left(\left(\left(\left(1 - z\right) - 1\right) + 7\right) + 0.5\right)}^{\left(\left(\left(1 - z\right) - 1\right) + 0.5\right)}\right) \cdot e^{-\left(\left(\left(\left(1 - z\right) - 1\right) + 7\right) + 0.5\right)}\right) \cdot \color{blue}{\left(\left(0.9999999999998099 + \left(\frac{676.5203681218851}{1 - z} + \left(\frac{-1259.1392167224028}{2 - z} + \frac{771.3234287776531}{3 - z}\right)\right)\right) + \left(\left(\frac{-176.6150291621406}{4 - z} + \left(\frac{12.507343278686905}{5 - z} + \frac{-0.13857109526572012}{6 - z}\right)\right) + \left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \frac{1.5056327351493116 \cdot 10^{-7}}{8 - z}\right)\right)\right)}\right) \]

7. Final simplification 98.5%

   \[\leadsto \frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left({\left(\left(\left(\left(1 - z\right) + -1\right) + 7\right) + 0.5\right)}^{\left(\left(\left(1 - z\right) + -1\right) + 0.5\right)} \cdot \sqrt{\pi \cdot 2}\right) \cdot e^{\left(\left(1 - \left(1 - z\right)\right) - 7\right) - 0.5}\right) \cdot \left(\left(0.9999999999998099 - \left(\left(\frac{771.3234287776531}{z - 3} - \frac{-1259.1392167224028}{2 - z}\right) - \frac{676.5203681218851}{1 - z}\right)\right) + \left(\left(\frac{-176.6150291621406}{4 - z} + \left(\frac{-0.13857109526572012}{6 - z} - \frac{12.507343278686905}{z - 5}\right)\right) + \left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \frac{1.5056327351493116 \cdot 10^{-7}}{8 - z}\right)\right)\right)\right) \]
8. Add Preprocessing

Alternative 3: 98.1% accurate, 1.1× speedup

Math

\[\begin{array}{l} \\ \frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\left(0.9999999999998099 - \left(\left(\frac{771.3234287776531}{z - 3} - \frac{-1259.1392167224028}{2 - z}\right) - \frac{676.5203681218851}{1 - z}\right)\right) + \frac{-176.6150291621406}{4 - z}\right) + \left(\left(\frac{-0.13857109526572012}{6 - z} - \frac{12.507343278686905}{z - 5}\right) + \left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \frac{1.5056327351493116 \cdot 10^{-7}}{8 - z}\right)\right)\right) \cdot \left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot \left(e^{z + -7.5} \cdot \sqrt{\pi \cdot 2}\right)\right)\right) \end{array} \]

FPCore

(FPCore (z)
 :precision binary64
 (*
  (/ PI (sin (* PI z)))
  (*
   (+
    (+
     (-
      0.9999999999998099
      (-
       (- (/ 771.3234287776531 (- z 3.0)) (/ -1259.1392167224028 (- 2.0 z)))
       (/ 676.5203681218851 (- 1.0 z))))
     (/ -176.6150291621406 (- 4.0 z)))
    (+
     (- (/ -0.13857109526572012 (- 6.0 z)) (/ 12.507343278686905 (- z 5.0)))
     (+
      (/ 9.984369578019572e-6 (- 7.0 z))
      (/ 1.5056327351493116e-7 (- 8.0 z)))))
   (* (pow (- 7.5 z) (- 0.5 z)) (* (exp (+ z -7.5)) (sqrt (* PI 2.0)))))))

C

double code(double z) {
	return (((double) M_PI) / sin((((double) M_PI) * z))) * ((((0.9999999999998099 - (((771.3234287776531 / (z - 3.0)) - (-1259.1392167224028 / (2.0 - z))) - (676.5203681218851 / (1.0 - z)))) + (-176.6150291621406 / (4.0 - z))) + (((-0.13857109526572012 / (6.0 - z)) - (12.507343278686905 / (z - 5.0))) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))))) * (pow((7.5 - z), (0.5 - z)) * (exp((z + -7.5)) * sqrt((((double) M_PI) * 2.0)))));
}

Java

public static double code(double z) {
	return (Math.PI / Math.sin((Math.PI * z))) * ((((0.9999999999998099 - (((771.3234287776531 / (z - 3.0)) - (-1259.1392167224028 / (2.0 - z))) - (676.5203681218851 / (1.0 - z)))) + (-176.6150291621406 / (4.0 - z))) + (((-0.13857109526572012 / (6.0 - z)) - (12.507343278686905 / (z - 5.0))) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))))) * (Math.pow((7.5 - z), (0.5 - z)) * (Math.exp((z + -7.5)) * Math.sqrt((Math.PI * 2.0)))));
}

Python

def code(z):
	return (math.pi / math.sin((math.pi * z))) * ((((0.9999999999998099 - (((771.3234287776531 / (z - 3.0)) - (-1259.1392167224028 / (2.0 - z))) - (676.5203681218851 / (1.0 - z)))) + (-176.6150291621406 / (4.0 - z))) + (((-0.13857109526572012 / (6.0 - z)) - (12.507343278686905 / (z - 5.0))) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))))) * (math.pow((7.5 - z), (0.5 - z)) * (math.exp((z + -7.5)) * math.sqrt((math.pi * 2.0)))))

Julia

function code(z)
	return Float64(Float64(pi / sin(Float64(pi * z))) * Float64(Float64(Float64(Float64(0.9999999999998099 - Float64(Float64(Float64(771.3234287776531 / Float64(z - 3.0)) - Float64(-1259.1392167224028 / Float64(2.0 - z))) - Float64(676.5203681218851 / Float64(1.0 - z)))) + Float64(-176.6150291621406 / Float64(4.0 - z))) + Float64(Float64(Float64(-0.13857109526572012 / Float64(6.0 - z)) - Float64(12.507343278686905 / Float64(z - 5.0))) + Float64(Float64(9.984369578019572e-6 / Float64(7.0 - z)) + Float64(1.5056327351493116e-7 / Float64(8.0 - z))))) * Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * Float64(exp(Float64(z + -7.5)) * sqrt(Float64(pi * 2.0))))))
end

MATLAB

function tmp = code(z)
	tmp = (pi / sin((pi * z))) * ((((0.9999999999998099 - (((771.3234287776531 / (z - 3.0)) - (-1259.1392167224028 / (2.0 - z))) - (676.5203681218851 / (1.0 - z)))) + (-176.6150291621406 / (4.0 - z))) + (((-0.13857109526572012 / (6.0 - z)) - (12.507343278686905 / (z - 5.0))) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))))) * (((7.5 - z) ^ (0.5 - z)) * (exp((z + -7.5)) * sqrt((pi * 2.0)))));
end

Wolfram

code[z_] := N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(0.9999999999998099 - N[(N[(N[(771.3234287776531 / N[(z - 3.0), $MachinePrecision]), $MachinePrecision] - N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(-176.6150291621406 / N[(4.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(-0.13857109526572012 / N[(6.0 - z), $MachinePrecision]), $MachinePrecision] - N[(12.507343278686905 / N[(z - 5.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(9.984369578019572e-6 / N[(7.0 - z), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(8.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[(N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision] * N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]

Derivation

1. Initial program 96.6%

   \[\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\sqrt{\pi \cdot 2} \cdot {\left(\left(\left(\left(1 - z\right) - 1\right) + 7\right) + 0.5\right)}^{\left(\left(\left(1 - z\right) - 1\right) + 0.5\right)}\right) \cdot e^{-\left(\left(\left(\left(1 - z\right) - 1\right) + 7\right) + 0.5\right)}\right) \cdot \left(\left(\left(\left(\left(\left(\left(\left(0.9999999999998099 + \frac{676.5203681218851}{\left(\left(1 - z\right) - 1\right) + 1}\right) + \frac{-1259.1392167224028}{\left(\left(1 - z\right) - 1\right) + 2}\right) + \frac{771.3234287776531}{\left(\left(1 - z\right) - 1\right) + 3}\right) + \frac{-176.6150291621406}{\left(\left(1 - z\right) - 1\right) + 4}\right) + \frac{12.507343278686905}{\left(\left(1 - z\right) - 1\right) + 5}\right) + \frac{-0.13857109526572012}{\left(\left(1 - z\right) - 1\right) + 6}\right) + \frac{9.984369578019572 \cdot 10^{-6}}{\left(\left(1 - z\right) - 1\right) + 7}\right) + \frac{1.5056327351493116 \cdot 10^{-7}}{\left(\left(1 - z\right) - 1\right) + 8}\right)\right) \]
2. Add Preprocessing

4. Applied egg-rr 98.4%

   \[\leadsto \frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \color{blue}{e^{\log \left(\left(\left(\left(\left(0.9999999999998099 + \frac{676.5203681218851}{1 - z}\right) + \left(\frac{-1259.1392167224028}{\left(-z\right) + 2} + \frac{771.3234287776531}{\left(-z\right) + 3}\right)\right) + \frac{-176.6150291621406}{\left(-z\right) + 4}\right) + \left(\frac{12.507343278686905}{\left(-z\right) + 5} + \frac{-0.13857109526572012}{\left(-z\right) + 6}\right)\right) + \left(\frac{9.984369578019572 \cdot 10^{-6}}{\left(-z\right) + 7} + \frac{1.5056327351493116 \cdot 10^{-7}}{\left(-z\right) + 8}\right)\right) + \left(\left(-\left(\left(-z\right) + 7.5\right)\right) + \log \left(\sqrt{2 \cdot \pi} \cdot {\left(\left(-z\right) + 7.5\right)}^{\left(\left(-z\right) + 0.5\right)}\right)\right)}} \]

6. Simplified 97.5%

   \[\leadsto \frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \color{blue}{\left(\left(\left(\left(0.9999999999998099 + \left(\frac{676.5203681218851}{1 - z} + \left(\frac{-1259.1392167224028}{2 + \left(-z\right)} + \frac{771.3234287776531}{3 + \left(-z\right)}\right)\right)\right) + \frac{-176.6150291621406}{\left(-z\right) + 4}\right) + \left(\left(\frac{12.507343278686905}{\left(-z\right) + 5} + \frac{-0.13857109526572012}{\left(-z\right) + 6}\right) + \left(\frac{9.984369578019572 \cdot 10^{-6}}{\left(-z\right) + 7} + \frac{1.5056327351493116 \cdot 10^{-7}}{\left(-z\right) + 8}\right)\right)\right) \cdot e^{\left(-\left(7.5 - z\right)\right) + \log \left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot \sqrt{2 \cdot \pi}\right)}\right)} \]
7. Step-by-step derivation

   1. *-un-lft-identity 97.5%

      \[\leadsto \frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\left(0.9999999999998099 + \left(\frac{676.5203681218851}{1 - z} + \left(\frac{-1259.1392167224028}{2 + \left(-z\right)} + \frac{771.3234287776531}{3 + \left(-z\right)}\right)\right)\right) + \frac{-176.6150291621406}{\left(-z\right) + 4}\right) + \left(\left(\frac{12.507343278686905}{\left(-z\right) + 5} + \frac{-0.13857109526572012}{\left(-z\right) + 6}\right) + \left(\frac{9.984369578019572 \cdot 10^{-6}}{\left(-z\right) + 7} + \frac{1.5056327351493116 \cdot 10^{-7}}{\left(-z\right) + 8}\right)\right)\right) \cdot \color{blue}{\left(1 \cdot e^{\left(-\left(7.5 - z\right)\right) + \log \left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot \sqrt{2 \cdot \pi}\right)}\right)}\right) \]

   2. exp-sum 98.5%

      \[\leadsto \frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\left(0.9999999999998099 + \left(\frac{676.5203681218851}{1 - z} + \left(\frac{-1259.1392167224028}{2 + \left(-z\right)} + \frac{771.3234287776531}{3 + \left(-z\right)}\right)\right)\right) + \frac{-176.6150291621406}{\left(-z\right) + 4}\right) + \left(\left(\frac{12.507343278686905}{\left(-z\right) + 5} + \frac{-0.13857109526572012}{\left(-z\right) + 6}\right) + \left(\frac{9.984369578019572 \cdot 10^{-6}}{\left(-z\right) + 7} + \frac{1.5056327351493116 \cdot 10^{-7}}{\left(-z\right) + 8}\right)\right)\right) \cdot \left(1 \cdot \color{blue}{\left(e^{-\left(7.5 - z\right)} \cdot e^{\log \left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot \sqrt{2 \cdot \pi}\right)}\right)}\right)\right) \]

   3. add-exp-log 98.5%

      \[\leadsto \frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\left(0.9999999999998099 + \left(\frac{676.5203681218851}{1 - z} + \left(\frac{-1259.1392167224028}{2 + \left(-z\right)} + \frac{771.3234287776531}{3 + \left(-z\right)}\right)\right)\right) + \frac{-176.6150291621406}{\left(-z\right) + 4}\right) + \left(\left(\frac{12.507343278686905}{\left(-z\right) + 5} + \frac{-0.13857109526572012}{\left(-z\right) + 6}\right) + \left(\frac{9.984369578019572 \cdot 10^{-6}}{\left(-z\right) + 7} + \frac{1.5056327351493116 \cdot 10^{-7}}{\left(-z\right) + 8}\right)\right)\right) \cdot \left(1 \cdot \left(e^{-\left(7.5 - z\right)} \cdot \color{blue}{\left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot \sqrt{2 \cdot \pi}\right)}\right)\right)\right) \]

8. Applied egg-rr 98.5%

   \[\leadsto \frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\left(0.9999999999998099 + \left(\frac{676.5203681218851}{1 - z} + \left(\frac{-1259.1392167224028}{2 + \left(-z\right)} + \frac{771.3234287776531}{3 + \left(-z\right)}\right)\right)\right) + \frac{-176.6150291621406}{\left(-z\right) + 4}\right) + \left(\left(\frac{12.507343278686905}{\left(-z\right) + 5} + \frac{-0.13857109526572012}{\left(-z\right) + 6}\right) + \left(\frac{9.984369578019572 \cdot 10^{-6}}{\left(-z\right) + 7} + \frac{1.5056327351493116 \cdot 10^{-7}}{\left(-z\right) + 8}\right)\right)\right) \cdot \color{blue}{\left(1 \cdot \left(e^{-\left(7.5 - z\right)} \cdot \left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot \sqrt{2 \cdot \pi}\right)\right)\right)}\right) \]

10. Simplified 98.5%

    \[\leadsto \frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\left(0.9999999999998099 + \left(\frac{676.5203681218851}{1 - z} + \left(\frac{-1259.1392167224028}{2 + \left(-z\right)} + \frac{771.3234287776531}{3 + \left(-z\right)}\right)\right)\right) + \frac{-176.6150291621406}{\left(-z\right) + 4}\right) + \left(\left(\frac{12.507343278686905}{\left(-z\right) + 5} + \frac{-0.13857109526572012}{\left(-z\right) + 6}\right) + \left(\frac{9.984369578019572 \cdot 10^{-6}}{\left(-z\right) + 7} + \frac{1.5056327351493116 \cdot 10^{-7}}{\left(-z\right) + 8}\right)\right)\right) \cdot \color{blue}{\left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot \left(e^{z + -7.5} \cdot \sqrt{\pi \cdot 2}\right)\right)}\right) \]

11. Final simplification 98.5%

    \[\leadsto \frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\left(0.9999999999998099 - \left(\left(\frac{771.3234287776531}{z - 3} - \frac{-1259.1392167224028}{2 - z}\right) - \frac{676.5203681218851}{1 - z}\right)\right) + \frac{-176.6150291621406}{4 - z}\right) + \left(\left(\frac{-0.13857109526572012}{6 - z} - \frac{12.507343278686905}{z - 5}\right) + \left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \frac{1.5056327351493116 \cdot 10^{-7}}{8 - z}\right)\right)\right) \cdot \left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot \left(e^{z + -7.5} \cdot \sqrt{\pi \cdot 2}\right)\right)\right) \]
12. Add Preprocessing

Alternative 4: 98.1% accurate, 1.1× speedup

Math

\[\begin{array}{l} \\ \frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\sqrt{\pi \cdot 2} \cdot \left(\left(\left(0.9999999999998099 - \left(\left(\frac{771.3234287776531}{z - 3} - \frac{-1259.1392167224028}{2 - z}\right) - \frac{676.5203681218851}{1 - z}\right)\right) + \left(\left(\frac{-176.6150291621406}{4 - z} + \left(\frac{-0.13857109526572012}{6 - z} - \frac{12.507343278686905}{z - 5}\right)\right) + \left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \frac{1.5056327351493116 \cdot 10^{-7}}{8 - z}\right)\right)\right) \cdot \left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot e^{z + -7.5}\right)\right)\right) \end{array} \]

FPCore

(FPCore (z)
 :precision binary64
 (*
  (/ PI (sin (* PI z)))
  (*
   (sqrt (* PI 2.0))
   (*
    (+
     (-
      0.9999999999998099
      (-
       (- (/ 771.3234287776531 (- z 3.0)) (/ -1259.1392167224028 (- 2.0 z)))
       (/ 676.5203681218851 (- 1.0 z))))
     (+
      (+
       (/ -176.6150291621406 (- 4.0 z))
       (- (/ -0.13857109526572012 (- 6.0 z)) (/ 12.507343278686905 (- z 5.0))))
      (+
       (/ 9.984369578019572e-6 (- 7.0 z))
       (/ 1.5056327351493116e-7 (- 8.0 z)))))
    (* (pow (- 7.5 z) (- 0.5 z)) (exp (+ z -7.5)))))))

C

double code(double z) {
	return (((double) M_PI) / sin((((double) M_PI) * z))) * (sqrt((((double) M_PI) * 2.0)) * (((0.9999999999998099 - (((771.3234287776531 / (z - 3.0)) - (-1259.1392167224028 / (2.0 - z))) - (676.5203681218851 / (1.0 - z)))) + (((-176.6150291621406 / (4.0 - z)) + ((-0.13857109526572012 / (6.0 - z)) - (12.507343278686905 / (z - 5.0)))) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))))) * (pow((7.5 - z), (0.5 - z)) * exp((z + -7.5)))));
}

Java

public static double code(double z) {
	return (Math.PI / Math.sin((Math.PI * z))) * (Math.sqrt((Math.PI * 2.0)) * (((0.9999999999998099 - (((771.3234287776531 / (z - 3.0)) - (-1259.1392167224028 / (2.0 - z))) - (676.5203681218851 / (1.0 - z)))) + (((-176.6150291621406 / (4.0 - z)) + ((-0.13857109526572012 / (6.0 - z)) - (12.507343278686905 / (z - 5.0)))) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))))) * (Math.pow((7.5 - z), (0.5 - z)) * Math.exp((z + -7.5)))));
}

Python

def code(z):
	return (math.pi / math.sin((math.pi * z))) * (math.sqrt((math.pi * 2.0)) * (((0.9999999999998099 - (((771.3234287776531 / (z - 3.0)) - (-1259.1392167224028 / (2.0 - z))) - (676.5203681218851 / (1.0 - z)))) + (((-176.6150291621406 / (4.0 - z)) + ((-0.13857109526572012 / (6.0 - z)) - (12.507343278686905 / (z - 5.0)))) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))))) * (math.pow((7.5 - z), (0.5 - z)) * math.exp((z + -7.5)))))

Julia

function code(z)
	return Float64(Float64(pi / sin(Float64(pi * z))) * Float64(sqrt(Float64(pi * 2.0)) * Float64(Float64(Float64(0.9999999999998099 - Float64(Float64(Float64(771.3234287776531 / Float64(z - 3.0)) - Float64(-1259.1392167224028 / Float64(2.0 - z))) - Float64(676.5203681218851 / Float64(1.0 - z)))) + Float64(Float64(Float64(-176.6150291621406 / Float64(4.0 - z)) + Float64(Float64(-0.13857109526572012 / Float64(6.0 - z)) - Float64(12.507343278686905 / Float64(z - 5.0)))) + Float64(Float64(9.984369578019572e-6 / Float64(7.0 - z)) + Float64(1.5056327351493116e-7 / Float64(8.0 - z))))) * Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * exp(Float64(z + -7.5))))))
end

MATLAB

function tmp = code(z)
	tmp = (pi / sin((pi * z))) * (sqrt((pi * 2.0)) * (((0.9999999999998099 - (((771.3234287776531 / (z - 3.0)) - (-1259.1392167224028 / (2.0 - z))) - (676.5203681218851 / (1.0 - z)))) + (((-176.6150291621406 / (4.0 - z)) + ((-0.13857109526572012 / (6.0 - z)) - (12.507343278686905 / (z - 5.0)))) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))))) * (((7.5 - z) ^ (0.5 - z)) * exp((z + -7.5)))));
end

Wolfram

code[z_] := N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[(N[(0.9999999999998099 - N[(N[(N[(771.3234287776531 / N[(z - 3.0), $MachinePrecision]), $MachinePrecision] - N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(676.5203681218851 / N[(1.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(-176.6150291621406 / N[(4.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(-0.13857109526572012 / N[(6.0 - z), $MachinePrecision]), $MachinePrecision] - N[(12.507343278686905 / N[(z - 5.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(9.984369578019572e-6 / N[(7.0 - z), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(8.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 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]), $MachinePrecision]

Derivation

1. Initial program 96.6%

   \[\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\sqrt{\pi \cdot 2} \cdot {\left(\left(\left(\left(1 - z\right) - 1\right) + 7\right) + 0.5\right)}^{\left(\left(\left(1 - z\right) - 1\right) + 0.5\right)}\right) \cdot e^{-\left(\left(\left(\left(1 - z\right) - 1\right) + 7\right) + 0.5\right)}\right) \cdot \left(\left(\left(\left(\left(\left(\left(\left(0.9999999999998099 + \frac{676.5203681218851}{\left(\left(1 - z\right) - 1\right) + 1}\right) + \frac{-1259.1392167224028}{\left(\left(1 - z\right) - 1\right) + 2}\right) + \frac{771.3234287776531}{\left(\left(1 - z\right) - 1\right) + 3}\right) + \frac{-176.6150291621406}{\left(\left(1 - z\right) - 1\right) + 4}\right) + \frac{12.507343278686905}{\left(\left(1 - z\right) - 1\right) + 5}\right) + \frac{-0.13857109526572012}{\left(\left(1 - z\right) - 1\right) + 6}\right) + \frac{9.984369578019572 \cdot 10^{-6}}{\left(\left(1 - z\right) - 1\right) + 7}\right) + \frac{1.5056327351493116 \cdot 10^{-7}}{\left(\left(1 - z\right) - 1\right) + 8}\right)\right) \]
2. Add Preprocessing

4. Applied egg-rr 98.5%

   \[\leadsto \frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \color{blue}{\left(\left(\sqrt{2 \cdot \pi} \cdot \left({\left(\left(-z\right) + 7.5\right)}^{\left(\left(-z\right) + 0.5\right)} \cdot e^{-\left(\left(-z\right) + 7.5\right)}\right)\right) \cdot \left(\left(\left(\left(0.9999999999998099 + \frac{676.5203681218851}{1 - z}\right) + \left(\frac{-1259.1392167224028}{\left(-z\right) + 2} + \frac{771.3234287776531}{\left(-z\right) + 3}\right)\right) + \left(\frac{-176.6150291621406}{\left(-z\right) + 4} + \frac{12.507343278686905}{\left(-z\right) + 5}\right)\right) + \left(\frac{-0.13857109526572012}{\left(-z\right) + 6} + \frac{9.984369578019572 \cdot 10^{-6}}{\left(-z\right) + 7}\right)\right) + \left(\sqrt{2 \cdot \pi} \cdot \left({\left(\left(-z\right) + 7.5\right)}^{\left(\left(-z\right) + 0.5\right)} \cdot e^{-\left(\left(-z\right) + 7.5\right)}\right)\right) \cdot \frac{1.5056327351493116 \cdot 10^{-7}}{\left(-z\right) + 8}\right)} \]

6. Simplified 98.5%

   \[\leadsto \frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \color{blue}{\left(\sqrt{2 \cdot \pi} \cdot \left(\left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot e^{z + -7.5}\right) \cdot \left(\left(0.9999999999998099 + \left(\frac{676.5203681218851}{1 - z} + \left(\frac{-1259.1392167224028}{2 - z} + \frac{771.3234287776531}{3 - z}\right)\right)\right) + \left(\left(\frac{-176.6150291621406}{4 - z} + \left(\frac{12.507343278686905}{5 - z} + \frac{-0.13857109526572012}{6 - z}\right)\right) + \left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \frac{1.5056327351493116 \cdot 10^{-7}}{8 - z}\right)\right)\right)\right)\right)} \]

7. Final simplification 98.5%

   \[\leadsto \frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\sqrt{\pi \cdot 2} \cdot \left(\left(\left(0.9999999999998099 - \left(\left(\frac{771.3234287776531}{z - 3} - \frac{-1259.1392167224028}{2 - z}\right) - \frac{676.5203681218851}{1 - z}\right)\right) + \left(\left(\frac{-176.6150291621406}{4 - z} + \left(\frac{-0.13857109526572012}{6 - z} - \frac{12.507343278686905}{z - 5}\right)\right) + \left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \frac{1.5056327351493116 \cdot 10^{-7}}{8 - z}\right)\right)\right) \cdot \left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot e^{z + -7.5}\right)\right)\right) \]
8. Add Preprocessing

Alternative 5: 96.6% accurate, 1.1× speedup

Math

\[\begin{array}{l} \\ \left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot \sqrt{\pi \cdot 2}\right) \cdot \left(\pi \cdot \left(\left(\left(\frac{12.507343278686905}{5 - z} + \left(\frac{-0.13857109526572012}{6 - z} + \left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \frac{1.5056327351493116 \cdot 10^{-7}}{8 - z}\right)\right)\right) - \left(\left(\left(\frac{676.5203681218851}{z + -1} - \frac{-1259.1392167224028}{2 - z}\right) + \left(\frac{-176.6150291621406}{z - 4} + \frac{771.3234287776531}{z - 3}\right)\right) - 0.9999999999998099\right)\right) \cdot \frac{e^{z + -7.5}}{\sin \left(\pi \cdot z\right)}\right)\right) \end{array} \]

FPCore

(FPCore (z)
 :precision binary64
 (*
  (* (pow (- 7.5 z) (- 0.5 z)) (sqrt (* PI 2.0)))
  (*
   PI
   (*
    (-
     (+
      (/ 12.507343278686905 (- 5.0 z))
      (+
       (/ -0.13857109526572012 (- 6.0 z))
       (+
        (/ 9.984369578019572e-6 (- 7.0 z))
        (/ 1.5056327351493116e-7 (- 8.0 z)))))
     (-
      (+
       (- (/ 676.5203681218851 (+ z -1.0)) (/ -1259.1392167224028 (- 2.0 z)))
       (+ (/ -176.6150291621406 (- z 4.0)) (/ 771.3234287776531 (- z 3.0))))
      0.9999999999998099))
    (/ (exp (+ z -7.5)) (sin (* PI z)))))))

C

double code(double z) {
	return (pow((7.5 - z), (0.5 - z)) * sqrt((((double) M_PI) * 2.0))) * (((double) M_PI) * ((((12.507343278686905 / (5.0 - z)) + ((-0.13857109526572012 / (6.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))))) - ((((676.5203681218851 / (z + -1.0)) - (-1259.1392167224028 / (2.0 - z))) + ((-176.6150291621406 / (z - 4.0)) + (771.3234287776531 / (z - 3.0)))) - 0.9999999999998099)) * (exp((z + -7.5)) / sin((((double) M_PI) * z)))));
}

Java

public static double code(double z) {
	return (Math.pow((7.5 - z), (0.5 - z)) * Math.sqrt((Math.PI * 2.0))) * (Math.PI * ((((12.507343278686905 / (5.0 - z)) + ((-0.13857109526572012 / (6.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))))) - ((((676.5203681218851 / (z + -1.0)) - (-1259.1392167224028 / (2.0 - z))) + ((-176.6150291621406 / (z - 4.0)) + (771.3234287776531 / (z - 3.0)))) - 0.9999999999998099)) * (Math.exp((z + -7.5)) / Math.sin((Math.PI * z)))));
}

Python

def code(z):
	return (math.pow((7.5 - z), (0.5 - z)) * math.sqrt((math.pi * 2.0))) * (math.pi * ((((12.507343278686905 / (5.0 - z)) + ((-0.13857109526572012 / (6.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))))) - ((((676.5203681218851 / (z + -1.0)) - (-1259.1392167224028 / (2.0 - z))) + ((-176.6150291621406 / (z - 4.0)) + (771.3234287776531 / (z - 3.0)))) - 0.9999999999998099)) * (math.exp((z + -7.5)) / math.sin((math.pi * z)))))

Julia

function code(z)
	return Float64(Float64((Float64(7.5 - z) ^ Float64(0.5 - z)) * sqrt(Float64(pi * 2.0))) * Float64(pi * Float64(Float64(Float64(Float64(12.507343278686905 / Float64(5.0 - z)) + Float64(Float64(-0.13857109526572012 / Float64(6.0 - z)) + Float64(Float64(9.984369578019572e-6 / Float64(7.0 - z)) + Float64(1.5056327351493116e-7 / Float64(8.0 - z))))) - Float64(Float64(Float64(Float64(676.5203681218851 / Float64(z + -1.0)) - Float64(-1259.1392167224028 / Float64(2.0 - z))) + Float64(Float64(-176.6150291621406 / Float64(z - 4.0)) + Float64(771.3234287776531 / Float64(z - 3.0)))) - 0.9999999999998099)) * Float64(exp(Float64(z + -7.5)) / sin(Float64(pi * z))))))
end

MATLAB

function tmp = code(z)
	tmp = (((7.5 - z) ^ (0.5 - z)) * sqrt((pi * 2.0))) * (pi * ((((12.507343278686905 / (5.0 - z)) + ((-0.13857109526572012 / (6.0 - z)) + ((9.984369578019572e-6 / (7.0 - z)) + (1.5056327351493116e-7 / (8.0 - z))))) - ((((676.5203681218851 / (z + -1.0)) - (-1259.1392167224028 / (2.0 - z))) + ((-176.6150291621406 / (z - 4.0)) + (771.3234287776531 / (z - 3.0)))) - 0.9999999999998099)) * (exp((z + -7.5)) / sin((pi * z)))));
end

Wolfram

code[z_] := N[(N[(N[Power[N[(7.5 - z), $MachinePrecision], N[(0.5 - z), $MachinePrecision]], $MachinePrecision] * N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(Pi * N[(N[(N[(N[(12.507343278686905 / N[(5.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(-0.13857109526572012 / N[(6.0 - z), $MachinePrecision]), $MachinePrecision] + N[(N[(9.984369578019572e-6 / N[(7.0 - z), $MachinePrecision]), $MachinePrecision] + N[(1.5056327351493116e-7 / N[(8.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(N[(N[(676.5203681218851 / N[(z + -1.0), $MachinePrecision]), $MachinePrecision] - N[(-1259.1392167224028 / N[(2.0 - z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(-176.6150291621406 / N[(z - 4.0), $MachinePrecision]), $MachinePrecision] + N[(771.3234287776531 / N[(z - 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.9999999999998099), $MachinePrecision]), $MachinePrecision] * N[(N[Exp[N[(z + -7.5), $MachinePrecision]], $MachinePrecision] / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]

Derivation

1. Initial program 96.6%

   \[\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\sqrt{\pi \cdot 2} \cdot {\left(\left(\left(\left(1 - z\right) - 1\right) + 7\right) + 0.5\right)}^{\left(\left(\left(1 - z\right) - 1\right) + 0.5\right)}\right) \cdot e^{-\left(\left(\left(\left(1 - z\right) - 1\right) + 7\right) + 0.5\right)}\right) \cdot \left(\left(\left(\left(\left(\left(\left(\left(0.9999999999998099 + \frac{676.5203681218851}{\left(\left(1 - z\right) - 1\right) + 1}\right) + \frac{-1259.1392167224028}{\left(\left(1 - z\right) - 1\right) + 2}\right) + \frac{771.3234287776531}{\left(\left(1 - z\right) - 1\right) + 3}\right) + \frac{-176.6150291621406}{\left(\left(1 - z\right) - 1\right) + 4}\right) + \frac{12.507343278686905}{\left(\left(1 - z\right) - 1\right) + 5}\right) + \frac{-0.13857109526572012}{\left(\left(1 - z\right) - 1\right) + 6}\right) + \frac{9.984369578019572 \cdot 10^{-6}}{\left(\left(1 - z\right) - 1\right) + 7}\right) + \frac{1.5056327351493116 \cdot 10^{-7}}{\left(\left(1 - z\right) - 1\right) + 8}\right)\right) \]
2. Add Preprocessing

4. Applied egg-rr 97.7%

   \[\leadsto \color{blue}{\frac{\pi \cdot \left(\left(\sqrt{2 \cdot \pi} \cdot {\left(\left(-z\right) + 7.5\right)}^{\left(\left(-z\right) + 0.5\right)}\right) \cdot \left(e^{-\left(\left(-z\right) + 7.5\right)} \cdot \left(\left(\left(\left(\left(0.9999999999998099 + \frac{676.5203681218851}{1 - z}\right) + \left(\frac{-1259.1392167224028}{\left(-z\right) + 2} + \frac{771.3234287776531}{\left(-z\right) + 3}\right)\right) + \frac{-176.6150291621406}{\left(-z\right) + 4}\right) + \left(\frac{12.507343278686905}{\left(-z\right) + 5} + \frac{-0.13857109526572012}{\left(-z\right) + 6}\right)\right) + \left(\frac{9.984369578019572 \cdot 10^{-6}}{\left(-z\right) + 7} + \frac{1.5056327351493116 \cdot 10^{-7}}{\left(-z\right) + 8}\right)\right)\right)\right)}{\sin \left(z \cdot \pi\right)}} \]

6. Applied egg-rr 97.7%

   \[\leadsto \color{blue}{1 \cdot \left(\pi \cdot \frac{\left(\sqrt{2 \cdot \pi} \cdot {\left(\mathsf{fma}\left(-1, z, 7.5\right)\right)}^{\left(\mathsf{fma}\left(-1, z, 0.5\right)\right)}\right) \cdot \left(e^{-\mathsf{fma}\left(-1, z, 7.5\right)} \cdot \left(\left(\left(0.9999999999998099 + \frac{676.5203681218851}{1 - z}\right) + \left(\left(\frac{-1259.1392167224028}{2 - z} + \frac{771.3234287776531}{\mathsf{fma}\left(-1, z, 3\right)}\right) + \frac{-176.6150291621406}{\mathsf{fma}\left(-1, z, 4\right)}\right)\right) + \left(\left(\frac{12.507343278686905}{\mathsf{fma}\left(-1, z, 5\right)} + \frac{-0.13857109526572012}{\mathsf{fma}\left(-1, z, 6\right)}\right) + \left(\frac{9.984369578019572 \cdot 10^{-6}}{\mathsf{fma}\left(-1, z, 7\right)} + \frac{1.5056327351493116 \cdot 10^{-7}}{\mathsf{fma}\left(-1, z, 8\right)}\right)\right)\right)\right)}{\sin \left(z \cdot \pi\right)}\right)} \]

8. Simplified 97.0%

   \[\leadsto \color{blue}{\left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot \sqrt{2 \cdot \pi}\right) \cdot \left(\left(\left(\left(0.9999999999998099 + \left(\left(\frac{676.5203681218851}{1 - z} + \frac{-1259.1392167224028}{2 - z}\right) + \left(\frac{771.3234287776531}{3 - z} + \frac{-176.6150291621406}{4 - z}\right)\right)\right) + \left(\frac{12.507343278686905}{5 - z} + \left(\frac{-0.13857109526572012}{6 - z} + \left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \frac{1.5056327351493116 \cdot 10^{-7}}{8 - z}\right)\right)\right)\right) \cdot \frac{e^{z + -7.5}}{\sin \left(z \cdot \pi\right)}\right) \cdot \pi\right)} \]

9. Final simplification 97.0%

   \[\leadsto \left({\left(7.5 - z\right)}^{\left(0.5 - z\right)} \cdot \sqrt{\pi \cdot 2}\right) \cdot \left(\pi \cdot \left(\left(\left(\frac{12.507343278686905}{5 - z} + \left(\frac{-0.13857109526572012}{6 - z} + \left(\frac{9.984369578019572 \cdot 10^{-6}}{7 - z} + \frac{1.5056327351493116 \cdot 10^{-7}}{8 - z}\right)\right)\right) - \left(\left(\left(\frac{676.5203681218851}{z + -1} - \frac{-1259.1392167224028}{2 - z}\right) + \left(\frac{-176.6150291621406}{z - 4} + \frac{771.3234287776531}{z - 3}\right)\right) - 0.9999999999998099\right)\right) \cdot \frac{e^{z + -7.5}}{\sin \left(\pi \cdot z\right)}\right)\right) \]
10. Add Preprocessing

Alternative 6: 96.3% accurate, 1.2× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \left(1 - z\right) + -1\\ \frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left({\left(\left(t\_0 + 7\right) + 0.5\right)}^{\left(t\_0 + 0.5\right)} \cdot \sqrt{\pi \cdot 2}\right) \cdot e^{\left(\left(1 + \left(z + -1\right)\right) - 7\right) - 0.5}\right) \cdot \left(263.3831869810514 + z \cdot \left(436.8961725563396 + z \cdot 545.0353078428827\right)\right)\right) \end{array} \end{array} \]

FPCore

(FPCore (z)
 :precision binary64
 (let* ((t_0 (+ (- 1.0 z) -1.0)))
   (*
    (/ PI (sin (* PI z)))
    (*
     (*
      (* (pow (+ (+ t_0 7.0) 0.5) (+ t_0 0.5)) (sqrt (* PI 2.0)))
      (exp (- (- (+ 1.0 (+ z -1.0)) 7.0) 0.5)))
     (+
      263.3831869810514
      (* z (+ 436.8961725563396 (* z 545.0353078428827))))))))

C

double code(double z) {
	double t_0 = (1.0 - z) + -1.0;
	return (((double) M_PI) / sin((((double) M_PI) * z))) * (((pow(((t_0 + 7.0) + 0.5), (t_0 + 0.5)) * sqrt((((double) M_PI) * 2.0))) * exp((((1.0 + (z + -1.0)) - 7.0) - 0.5))) * (263.3831869810514 + (z * (436.8961725563396 + (z * 545.0353078428827)))));
}

Java

public static double code(double z) {
	double t_0 = (1.0 - z) + -1.0;
	return (Math.PI / Math.sin((Math.PI * z))) * (((Math.pow(((t_0 + 7.0) + 0.5), (t_0 + 0.5)) * Math.sqrt((Math.PI * 2.0))) * Math.exp((((1.0 + (z + -1.0)) - 7.0) - 0.5))) * (263.3831869810514 + (z * (436.8961725563396 + (z * 545.0353078428827)))));
}

Python

def code(z):
	t_0 = (1.0 - z) + -1.0
	return (math.pi / math.sin((math.pi * z))) * (((math.pow(((t_0 + 7.0) + 0.5), (t_0 + 0.5)) * math.sqrt((math.pi * 2.0))) * math.exp((((1.0 + (z + -1.0)) - 7.0) - 0.5))) * (263.3831869810514 + (z * (436.8961725563396 + (z * 545.0353078428827)))))

Julia

function code(z)
	t_0 = Float64(Float64(1.0 - z) + -1.0)
	return Float64(Float64(pi / sin(Float64(pi * z))) * Float64(Float64(Float64((Float64(Float64(t_0 + 7.0) + 0.5) ^ Float64(t_0 + 0.5)) * sqrt(Float64(pi * 2.0))) * exp(Float64(Float64(Float64(1.0 + Float64(z + -1.0)) - 7.0) - 0.5))) * Float64(263.3831869810514 + Float64(z * Float64(436.8961725563396 + Float64(z * 545.0353078428827))))))
end

MATLAB

function tmp = code(z)
	t_0 = (1.0 - z) + -1.0;
	tmp = (pi / sin((pi * z))) * ((((((t_0 + 7.0) + 0.5) ^ (t_0 + 0.5)) * sqrt((pi * 2.0))) * exp((((1.0 + (z + -1.0)) - 7.0) - 0.5))) * (263.3831869810514 + (z * (436.8961725563396 + (z * 545.0353078428827)))));
end

Wolfram

code[z_] := Block[{t$95$0 = N[(N[(1.0 - z), $MachinePrecision] + -1.0), $MachinePrecision]}, N[(N[(Pi / N[Sin[N[(Pi * z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[Power[N[(N[(t$95$0 + 7.0), $MachinePrecision] + 0.5), $MachinePrecision], N[(t$95$0 + 0.5), $MachinePrecision]], $MachinePrecision] * N[Sqrt[N[(Pi * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Exp[N[(N[(N[(1.0 + N[(z + -1.0), $MachinePrecision]), $MachinePrecision] - 7.0), $MachinePrecision] - 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(263.3831869810514 + N[(z * N[(436.8961725563396 + N[(z * 545.0353078428827), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]

Derivation

1. Initial program 96.6%

   \[\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\sqrt{\pi \cdot 2} \cdot {\left(\left(\left(\left(1 - z\right) - 1\right) + 7\right) + 0.5\right)}^{\left(\left(\left(1 - z\right) - 1\right) + 0.5\right)}\right) \cdot e^{-\left(\left(\left(\left(1 - z\right) - 1\right) + 7\right) + 0.5\right)}\right) \cdot \left(\left(\left(\left(\left(\left(\left(\left(0.9999999999998099 + \frac{676.5203681218851}{\left(\left(1 - z\right) - 1\right) + 1}\right) + \frac{-1259.1392167224028}{\left(\left(1 - z\right) - 1\right) + 2}\right) + \frac{771.3234287776531}{\left(\left(1 - z\right) - 1\right) + 3}\right) + \frac{-176.6150291621406}{\left(\left(1 - z\right) - 1\right) + 4}\right) + \frac{12.507343278686905}{\left(\left(1 - z\right) - 1\right) + 5}\right) + \frac{-0.13857109526572012}{\left(\left(1 - z\right) - 1\right) + 6}\right) + \frac{9.984369578019572 \cdot 10^{-6}}{\left(\left(1 - z\right) - 1\right) + 7}\right) + \frac{1.5056327351493116 \cdot 10^{-7}}{\left(\left(1 - z\right) - 1\right) + 8}\right)\right) \]
2. Add Preprocessing

3. Taylor expanded in z around 0 96.7%

   \[\leadsto \frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\sqrt{\pi \cdot 2} \cdot {\left(\left(\left(\left(1 - z\right) - 1\right) + 7\right) + 0.5\right)}^{\left(\left(\left(1 - z\right) - 1\right) + 0.5\right)}\right) \cdot e^{-\left(\left(\left(\left(1 - z\right) - 1\right) + 7\right) + 0.5\right)}\right) \cdot \color{blue}{\left(263.3831869810514 + z \cdot \left(436.8961725563396 + 545.0353078428827 \cdot z\right)\right)}\right) \]
4. Step-by-step derivation

   1. *-commutative 96.7%

      \[\leadsto \frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\sqrt{\pi \cdot 2} \cdot {\left(\left(\left(\left(1 - z\right) - 1\right) + 7\right) + 0.5\right)}^{\left(\left(\left(1 - z\right) - 1\right) + 0.5\right)}\right) \cdot e^{-\left(\left(\left(\left(1 - z\right) - 1\right) + 7\right) + 0.5\right)}\right) \cdot \left(263.3831869810514 + z \cdot \left(436.8961725563396 + \color{blue}{z \cdot 545.0353078428827}\right)\right)\right) \]

5. Simplified 96.7%

   \[\leadsto \frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\sqrt{\pi \cdot 2} \cdot {\left(\left(\left(\left(1 - z\right) - 1\right) + 7\right) + 0.5\right)}^{\left(\left(\left(1 - z\right) - 1\right) + 0.5\right)}\right) \cdot e^{-\left(\left(\left(\left(1 - z\right) - 1\right) + 7\right) + 0.5\right)}\right) \cdot \color{blue}{\left(263.3831869810514 + z \cdot \left(436.8961725563396 + z \cdot 545.0353078428827\right)\right)}\right) \]

6. Final simplification 96.7%

   \[\leadsto \frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left({\left(\left(\left(\left(1 - z\right) + -1\right) + 7\right) + 0.5\right)}^{\left(\left(\left(1 - z\right) + -1\right) + 0.5\right)} \cdot \sqrt{\pi \cdot 2}\right) \cdot e^{\left(\left(1 + \left(z + -1\right)\right) - 7\right) - 0.5}\right) \cdot \left(263.3831869810514 + z \cdot \left(436.8961725563396 + z \cdot 545.0353078428827\right)\right)\right) \]
7. Add Preprocessing

Alternative 7: 96.2% accurate, 1.3× speedup

Math

\[\begin{array}{l} \\ 263.3831869810514 \cdot \frac{\left(\sqrt{\pi} \cdot e^{-7.5}\right) \cdot \left(\sqrt{2} \cdot \sqrt{7.5}\right)}{z} \end{array} \]

FPCore

(FPCore (z)
 :precision binary64
 (*
  263.3831869810514
  (/ (* (* (sqrt PI) (exp -7.5)) (* (sqrt 2.0) (sqrt 7.5))) z)))

C

double code(double z) {
	return 263.3831869810514 * (((sqrt(((double) M_PI)) * exp(-7.5)) * (sqrt(2.0) * sqrt(7.5))) / z);
}

Java

public static double code(double z) {
	return 263.3831869810514 * (((Math.sqrt(Math.PI) * Math.exp(-7.5)) * (Math.sqrt(2.0) * Math.sqrt(7.5))) / z);
}

Python

def code(z):
	return 263.3831869810514 * (((math.sqrt(math.pi) * math.exp(-7.5)) * (math.sqrt(2.0) * math.sqrt(7.5))) / z)

Julia

function code(z)
	return Float64(263.3831869810514 * Float64(Float64(Float64(sqrt(pi) * exp(-7.5)) * Float64(sqrt(2.0) * sqrt(7.5))) / z))
end

MATLAB

function tmp = code(z)
	tmp = 263.3831869810514 * (((sqrt(pi) * exp(-7.5)) * (sqrt(2.0) * sqrt(7.5))) / z);
end

Wolfram

code[z_] := 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]

Derivation

1. Initial program 96.6%

   \[\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\sqrt{\pi \cdot 2} \cdot {\left(\left(\left(\left(1 - z\right) - 1\right) + 7\right) + 0.5\right)}^{\left(\left(\left(1 - z\right) - 1\right) + 0.5\right)}\right) \cdot e^{-\left(\left(\left(\left(1 - z\right) - 1\right) + 7\right) + 0.5\right)}\right) \cdot \left(\left(\left(\left(\left(\left(\left(\left(0.9999999999998099 + \frac{676.5203681218851}{\left(\left(1 - z\right) - 1\right) + 1}\right) + \frac{-1259.1392167224028}{\left(\left(1 - z\right) - 1\right) + 2}\right) + \frac{771.3234287776531}{\left(\left(1 - z\right) - 1\right) + 3}\right) + \frac{-176.6150291621406}{\left(\left(1 - z\right) - 1\right) + 4}\right) + \frac{12.507343278686905}{\left(\left(1 - z\right) - 1\right) + 5}\right) + \frac{-0.13857109526572012}{\left(\left(1 - z\right) - 1\right) + 6}\right) + \frac{9.984369578019572 \cdot 10^{-6}}{\left(\left(1 - z\right) - 1\right) + 7}\right) + \frac{1.5056327351493116 \cdot 10^{-7}}{\left(\left(1 - z\right) - 1\right) + 8}\right)\right) \]
2. Add Preprocessing

3. Taylor expanded in z around 0 95.4%

   \[\leadsto \color{blue}{263.3831869810514 \cdot \left(\frac{e^{-7.5} \cdot \left(\sqrt{2} \cdot \sqrt{7.5}\right)}{z} \cdot \sqrt{\pi}\right)} \]
4. Step-by-step derivation

   1. associate-*l/ 95.1%

      \[\leadsto 263.3831869810514 \cdot \color{blue}{\frac{\left(e^{-7.5} \cdot \left(\sqrt{2} \cdot \sqrt{7.5}\right)\right) \cdot \sqrt{\pi}}{z}} \]

   2. *-commutative 95.1%

      \[\leadsto 263.3831869810514 \cdot \frac{\color{blue}{\sqrt{\pi} \cdot \left(e^{-7.5} \cdot \left(\sqrt{2} \cdot \sqrt{7.5}\right)\right)}}{z} \]

   3. associate-*r* 95.9%

      \[\leadsto 263.3831869810514 \cdot \frac{\color{blue}{\left(\sqrt{\pi} \cdot e^{-7.5}\right) \cdot \left(\sqrt{2} \cdot \sqrt{7.5}\right)}}{z} \]

5. Simplified 95.9%

   \[\leadsto \color{blue}{263.3831869810514 \cdot \frac{\left(\sqrt{\pi} \cdot e^{-7.5}\right) \cdot \left(\sqrt{2} \cdot \sqrt{7.5}\right)}{z}} \]
6. Add Preprocessing

Alternative 8: 95.9% accurate, 1.3× speedup

Math

\[\begin{array}{l} \\ 263.3831869810514 \cdot \left(\left(\sqrt{\pi} \cdot e^{-7.5}\right) \cdot \left(\sqrt{7.5} \cdot \frac{\sqrt{2}}{z}\right)\right) \end{array} \]

FPCore

(FPCore (z)
 :precision binary64
 (*
  263.3831869810514
  (* (* (sqrt PI) (exp -7.5)) (* (sqrt 7.5) (/ (sqrt 2.0) z)))))

C

double code(double z) {
	return 263.3831869810514 * ((sqrt(((double) M_PI)) * exp(-7.5)) * (sqrt(7.5) * (sqrt(2.0) / z)));
}

Java

public static double code(double z) {
	return 263.3831869810514 * ((Math.sqrt(Math.PI) * Math.exp(-7.5)) * (Math.sqrt(7.5) * (Math.sqrt(2.0) / z)));
}

Python

def code(z):
	return 263.3831869810514 * ((math.sqrt(math.pi) * math.exp(-7.5)) * (math.sqrt(7.5) * (math.sqrt(2.0) / z)))

Julia

function code(z)
	return Float64(263.3831869810514 * Float64(Float64(sqrt(pi) * exp(-7.5)) * Float64(sqrt(7.5) * Float64(sqrt(2.0) / z))))
end

MATLAB

function tmp = code(z)
	tmp = 263.3831869810514 * ((sqrt(pi) * exp(-7.5)) * (sqrt(7.5) * (sqrt(2.0) / z)));
end

Wolfram

code[z_] := N[(263.3831869810514 * N[(N[(N[Sqrt[Pi], $MachinePrecision] * N[Exp[-7.5], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[7.5], $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] / z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]

Derivation

1. Initial program 96.6%

   \[\frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\sqrt{\pi \cdot 2} \cdot {\left(\left(\left(\left(1 - z\right) - 1\right) + 7\right) + 0.5\right)}^{\left(\left(\left(1 - z\right) - 1\right) + 0.5\right)}\right) \cdot e^{-\left(\left(\left(\left(1 - z\right) - 1\right) + 7\right) + 0.5\right)}\right) \cdot \left(\left(\left(\left(\left(\left(\left(\left(0.9999999999998099 + \frac{676.5203681218851}{\left(\left(1 - z\right) - 1\right) + 1}\right) + \frac{-1259.1392167224028}{\left(\left(1 - z\right) - 1\right) + 2}\right) + \frac{771.3234287776531}{\left(\left(1 - z\right) - 1\right) + 3}\right) + \frac{-176.6150291621406}{\left(\left(1 - z\right) - 1\right) + 4}\right) + \frac{12.507343278686905}{\left(\left(1 - z\right) - 1\right) + 5}\right) + \frac{-0.13857109526572012}{\left(\left(1 - z\right) - 1\right) + 6}\right) + \frac{9.984369578019572 \cdot 10^{-6}}{\left(\left(1 - z\right) - 1\right) + 7}\right) + \frac{1.5056327351493116 \cdot 10^{-7}}{\left(\left(1 - z\right) - 1\right) + 8}\right)\right) \]
2. Add Preprocessing

4. Applied egg-rr 98.5%

   \[\leadsto \frac{\pi}{\sin \left(\pi \cdot z\right)} \cdot \left(\left(\left(\sqrt{\pi \cdot 2} \cdot {\left(\left(\left(\left(1 - z\right) - 1\right) + 7\right) + 0.5\right)}^{\left(\left(\left(1 - z\right) - 1\right) + 0.5\right)}\right) \cdot e^{-\left(\left(\left(\left(1 - z\right) - 1\right) + 7\right) + 0.5\right)}\right) \cdot \left(\color{blue}{1 \cdot \left(\left(\left(\left(0.9999999999998099 + \frac{676.5203681218851}{1 - z}\right) + \left(\frac{-1259.1392167224028}{\left(-z\right) + 2} + \frac{771.3234287776531}{\left(-z\right) + 3}\right)\right) + \left(\frac{-176.6150291621406}{\left(-z\right) + 4} + \frac{12.507343278686905}{\left(-z\right) + 5}\right)\right) + \left(\frac{-0.13857109526572012}{\left(-z\right) + 6} + \frac{9.984369578019572 \cdot 10^{-6}}{\left(-z\right) + 7}\right)\right)} + \frac{1.5056327351493116 \cdot 10^{-7}}{\left(\left(1 - z\right) - 1\right) + 8}\right)\right) \]

5. Taylor expanded in z around 0 95.4%

   \[\leadsto \color{blue}{263.3831869810514 \cdot \left(\frac{e^{-7.5} \cdot \left(\sqrt{2} \cdot \sqrt{7.5}\right)}{z} \cdot \sqrt{\pi}\right)} \]
6. Step-by-step derivation

   1. *-commutative 95.4%

      \[\leadsto 263.3831869810514 \cdot \color{blue}{\left(\sqrt{\pi} \cdot \frac{e^{-7.5} \cdot \left(\sqrt{2} \cdot \sqrt{7.5}\right)}{z}\right)} \]

   2. associate-/l* 95.6%

      \[\leadsto 263.3831869810514 \cdot \left(\sqrt{\pi} \cdot \color{blue}{\left(e^{-7.5} \cdot \frac{\sqrt{2} \cdot \sqrt{7.5}}{z}\right)}\right) \]

   3. associate-*r* 95.8%

      \[\leadsto 263.3831869810514 \cdot \color{blue}{\left(\left(\sqrt{\pi} \cdot e^{-7.5}\right) \cdot \frac{\sqrt{2} \cdot \sqrt{7.5}}{z}\right)} \]

   4. *-commutative 95.8%

      \[\leadsto 263.3831869810514 \cdot \left(\color{blue}{\left(e^{-7.5} \cdot \sqrt{\pi}\right)} \cdot \frac{\sqrt{2} \cdot \sqrt{7.5}}{z}\right) \]

   5. *-commutative 95.8%

      \[\leadsto 263.3831869810514 \cdot \left(\left(e^{-7.5} \cdot \sqrt{\pi}\right) \cdot \frac{\color{blue}{\sqrt{7.5} \cdot \sqrt{2}}}{z}\right) \]

   6. associate-/l* 95.7%

      \[\leadsto 263.3831869810514 \cdot \left(\left(e^{-7.5} \cdot \sqrt{\pi}\right) \cdot \color{blue}{\left(\sqrt{7.5} \cdot \frac{\sqrt{2}}{z}\right)}\right) \]

7. Simplified 95.7%

   \[\leadsto \color{blue}{263.3831869810514 \cdot \left(\left(e^{-7.5} \cdot \sqrt{\pi}\right) \cdot \left(\sqrt{7.5} \cdot \frac{\sqrt{2}}{z}\right)\right)} \]

8. Final simplification 95.7%

   \[\leadsto 263.3831869810514 \cdot \left(\left(\sqrt{\pi} \cdot e^{-7.5}\right) \cdot \left(\sqrt{7.5} \cdot \frac{\sqrt{2}}{z}\right)\right) \]
9. Add Preprocessing

Reproduce

herbie shell --seed 2024111 
(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))))))