\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 r12638 = 0.5;
double r12639 = re;
double r12640 = sin(r12639);
double r12641 = r12638 * r12640;
double r12642 = 0.0;
double r12643 = im;
double r12644 = r12642 - r12643;
double r12645 = exp(r12644);
double r12646 = exp(r12643);
double r12647 = r12645 + r12646;
double r12648 = r12641 * r12647;
return r12648;
}
double f(double re, double im) {
double r12649 = 0.5;
double r12650 = re;
double r12651 = sin(r12650);
double r12652 = r12649 * r12651;
double r12653 = 0.0;
double r12654 = im;
double r12655 = r12653 - r12654;
double r12656 = exp(r12655);
double r12657 = r12652 * r12656;
double r12658 = exp(r12654);
double r12659 = r12652 * r12658;
double r12660 = r12657 + r12659;
return r12660;
}



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))))