\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 1.49557542553151027 \cdot 10^{178}:\\
\;\;\;\;\frac{\frac{\frac{\left(\alpha + \mathsf{fma}\left(\alpha, \beta, \beta\right)\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}\\
\mathbf{else}:\\
\;\;\;\;\frac{0}{\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 <= 1.4955754255315103e+178)) {
temp = (((((alpha + fma(alpha, beta, beta)) + 1.0) / ((alpha + beta) + (2.0 * 1.0))) / ((alpha + beta) + (2.0 * 1.0))) / (((alpha + beta) + (2.0 * 1.0)) + 1.0));
} else {
temp = (0.0 / (((alpha + beta) + (2.0 * 1.0)) + 1.0));
}
return temp;
}



Bits error versus alpha



Bits error versus beta
Results
if alpha < 1.4955754255315103e+178Initial program 1.5
rmApplied associate-+l+1.5
Simplified1.5
if 1.4955754255315103e+178 < alpha Initial program 16.9
rmApplied associate-+l+16.9
Simplified16.9
Taylor expanded around inf 7.2
Final simplification2.3
herbie shell --seed 2020049 +o rules:numerics
(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)))