\left(0.5 \cdot \sin re\right) \cdot \left(e^{0.0 - im} + e^{im}\right)\left(0.5 \cdot \sin re\right) \cdot e^{0.0 - im} + \left(0.5 \cdot \sin re\right) \cdot e^{im}double f(double re, double im) {
double r12631 = 0.5;
double r12632 = re;
double r12633 = sin(r12632);
double r12634 = r12631 * r12633;
double r12635 = 0.0;
double r12636 = im;
double r12637 = r12635 - r12636;
double r12638 = exp(r12637);
double r12639 = exp(r12636);
double r12640 = r12638 + r12639;
double r12641 = r12634 * r12640;
return r12641;
}
double f(double re, double im) {
double r12642 = 0.5;
double r12643 = re;
double r12644 = sin(r12643);
double r12645 = r12642 * r12644;
double r12646 = 0.0;
double r12647 = im;
double r12648 = r12646 - r12647;
double r12649 = exp(r12648);
double r12650 = r12645 * r12649;
double r12651 = exp(r12647);
double r12652 = r12645 * r12651;
double r12653 = r12650 + r12652;
return r12653;
}



Bits error versus re



Bits error versus im
Results
Initial program 0.0
rmApplied distribute-lft-in0.0
Final simplification0.0
herbie shell --seed 2019326 +o rules:numerics
(FPCore (re im)
:name "math.sin on complex, real part"
:precision binary64
(* (* 0.5 (sin re)) (+ (exp (- 0.0 im)) (exp im))))