\frac{\frac{\frac{\left(\alpha + \beta\right) \cdot \left(\beta - \alpha\right)}{\left(\alpha + \beta\right) + 2 \cdot i}}{\left(\left(\alpha + \beta\right) + 2 \cdot i\right) + 2} + 1}{2}\begin{array}{l}
\mathbf{if}\;\alpha \le 7.3286644476139376 \cdot 10^{139}:\\
\;\;\;\;\frac{\frac{\frac{\frac{\alpha + \beta}{\mathsf{fma}\left(i, 2, \alpha + \beta\right)}}{\frac{1}{\beta - \alpha}}}{\left(\left(\alpha + \beta\right) + 2 \cdot i\right) + 2} + 1}{2}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(2, \frac{1}{\alpha}, 8 \cdot \frac{1}{{\alpha}^{3}} - 4 \cdot \frac{1}{{\alpha}^{2}}\right)}{2}\\
\end{array}double code(double alpha, double beta, double i) {
return ((((((alpha + beta) * (beta - alpha)) / ((alpha + beta) + (2.0 * i))) / (((alpha + beta) + (2.0 * i)) + 2.0)) + 1.0) / 2.0);
}
double code(double alpha, double beta, double i) {
double VAR;
if ((alpha <= 7.328664447613938e+139)) {
VAR = ((((((alpha + beta) / fma(i, 2.0, (alpha + beta))) / (1.0 / (beta - alpha))) / (((alpha + beta) + (2.0 * i)) + 2.0)) + 1.0) / 2.0);
} else {
VAR = (fma(2.0, (1.0 / alpha), ((8.0 * (1.0 / pow(alpha, 3.0))) - (4.0 * (1.0 / pow(alpha, 2.0))))) / 2.0);
}
return VAR;
}



Bits error versus alpha



Bits error versus beta



Bits error versus i
Results
if alpha < 7.328664447613938e+139Initial program 15.6
rmApplied associate-/l*4.8
rmApplied div-inv4.8
Applied associate-/r*4.8
Simplified4.8
if 7.328664447613938e+139 < alpha Initial program 62.5
rmApplied associate-/l*46.8
rmApplied div-inv47.0
Applied associate-/r*46.9
Simplified46.9
rmApplied div-inv46.8
Applied fma-def47.5
Taylor expanded around inf 41.9
Simplified41.9
Final simplification11.5
herbie shell --seed 2020078 +o rules:numerics
(FPCore (alpha beta i)
:name "Octave 3.8, jcobi/2"
:precision binary64
:pre (and (> alpha -1) (> beta -1) (> i 0.0))
(/ (+ (/ (/ (* (+ alpha beta) (- beta alpha)) (+ (+ alpha beta) (* 2 i))) (+ (+ (+ alpha beta) (* 2 i)) 2)) 1) 2))