\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}\frac{\mathsf{fma}\left(\frac{\beta - \alpha}{\mathsf{fma}\left(2, i, \alpha + \beta\right) + 2}, \frac{\alpha + \beta}{\mathsf{fma}\left(2, i, \alpha + \beta\right)}, 1\right)}{2}double f(double alpha, double beta, double i) {
double r90514 = alpha;
double r90515 = beta;
double r90516 = r90514 + r90515;
double r90517 = r90515 - r90514;
double r90518 = r90516 * r90517;
double r90519 = 2.0;
double r90520 = i;
double r90521 = r90519 * r90520;
double r90522 = r90516 + r90521;
double r90523 = r90518 / r90522;
double r90524 = r90522 + r90519;
double r90525 = r90523 / r90524;
double r90526 = 1.0;
double r90527 = r90525 + r90526;
double r90528 = r90527 / r90519;
return r90528;
}
double f(double alpha, double beta, double i) {
double r90529 = beta;
double r90530 = alpha;
double r90531 = r90529 - r90530;
double r90532 = 2.0;
double r90533 = i;
double r90534 = r90530 + r90529;
double r90535 = fma(r90532, r90533, r90534);
double r90536 = r90535 + r90532;
double r90537 = r90531 / r90536;
double r90538 = r90534 / r90535;
double r90539 = 1.0;
double r90540 = fma(r90537, r90538, r90539);
double r90541 = r90540 / r90532;
return r90541;
}



Bits error versus alpha



Bits error versus beta



Bits error versus i
Initial program 24.4
Simplified12.1
Final simplification12.1
herbie shell --seed 2019303 +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))