\frac{\frac{\frac{\left(\left(\alpha + \beta\right) + \beta \cdot \alpha\right) + 1}{\left(\alpha + \beta\right) + 2 \cdot 1}}{\left(\alpha + \beta\right) + 2 \cdot 1}}{\left(\left(\alpha + \beta\right) + 2 \cdot 1\right) + 1}\begin{array}{l}
\mathbf{if}\;\alpha \le 2.34518582019658975 \cdot 10^{92}:\\
\;\;\;\;\frac{\frac{-\frac{\left(\left(\alpha + \beta\right) + \beta \cdot \alpha\right) + 1}{\left(\alpha + \beta\right) + 2 \cdot 1}}{-\left(\left(\alpha + \beta\right) + 2 \cdot 1\right)}}{\left(\left(\alpha + \beta\right) + 2 \cdot 1\right) + 1}\\
\mathbf{else}:\\
\;\;\;\;\frac{\frac{-\left(\left(2 \cdot \frac{1}{{\alpha}^{2}} + 1\right) - 1 \cdot \frac{1}{\alpha}\right)}{-\left(\left(\alpha + \beta\right) + 2 \cdot 1\right)}}{\left(\left(\alpha + \beta\right) + 2 \cdot 1\right) + 1}\\
\end{array}double code(double alpha, double beta) {
return ((((((alpha + beta) + (beta * alpha)) + 1.0) / ((alpha + beta) + (2.0 * 1.0))) / ((alpha + beta) + (2.0 * 1.0))) / (((alpha + beta) + (2.0 * 1.0)) + 1.0));
}
double code(double alpha, double beta) {
double temp;
if ((alpha <= 2.3451858201965897e+92)) {
temp = ((-((((alpha + beta) + (beta * alpha)) + 1.0) / ((alpha + beta) + (2.0 * 1.0))) / -((alpha + beta) + (2.0 * 1.0))) / (((alpha + beta) + (2.0 * 1.0)) + 1.0));
} else {
temp = ((-(((2.0 * (1.0 / pow(alpha, 2.0))) + 1.0) - (1.0 * (1.0 / alpha))) / -((alpha + beta) + (2.0 * 1.0))) / (((alpha + beta) + (2.0 * 1.0)) + 1.0));
}
return temp;
}



Bits error versus alpha



Bits error versus beta
Results
if alpha < 2.3451858201965897e+92Initial program 0.5
rmApplied frac-2neg0.5
if 2.3451858201965897e+92 < alpha Initial program 15.1
rmApplied frac-2neg15.1
Taylor expanded around inf 10.2
Final simplification2.7
herbie shell --seed 2020057
(FPCore (alpha beta)
:name "Octave 3.8, jcobi/3"
:precision binary64
:pre (and (> alpha -1) (> beta -1))
(/ (/ (/ (+ (+ (+ alpha beta) (* beta alpha)) 1) (+ (+ alpha beta) (* 2 1))) (+ (+ alpha beta) (* 2 1))) (+ (+ (+ alpha beta) (* 2 1)) 1)))