\left(0.5 \cdot \sin re\right) \cdot \left(e^{0.0 - im} + e^{im}\right)0.5 \cdot \mathsf{fma}\left(e^{im}, \sin re, \frac{\sin re}{e^{im - 0.0}}\right)double f(double re, double im) {
double r17586 = 0.5;
double r17587 = re;
double r17588 = sin(r17587);
double r17589 = r17586 * r17588;
double r17590 = 0.0;
double r17591 = im;
double r17592 = r17590 - r17591;
double r17593 = exp(r17592);
double r17594 = exp(r17591);
double r17595 = r17593 + r17594;
double r17596 = r17589 * r17595;
return r17596;
}
double f(double re, double im) {
double r17597 = 0.5;
double r17598 = im;
double r17599 = exp(r17598);
double r17600 = re;
double r17601 = sin(r17600);
double r17602 = 0.0;
double r17603 = r17598 - r17602;
double r17604 = exp(r17603);
double r17605 = r17601 / r17604;
double r17606 = fma(r17599, r17601, r17605);
double r17607 = r17597 * r17606;
return r17607;
}



Bits error versus re



Bits error versus im
Initial program 0.0
rmApplied distribute-lft-in0.0
rmApplied exp-diff0.0
Applied associate-*r/0.0
Taylor expanded around inf 0.0
Simplified0.0
Final simplification0.0
herbie shell --seed 2019323 +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))))