\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 r17590 = 0.5;
double r17591 = re;
double r17592 = sin(r17591);
double r17593 = r17590 * r17592;
double r17594 = 0.0;
double r17595 = im;
double r17596 = r17594 - r17595;
double r17597 = exp(r17596);
double r17598 = exp(r17595);
double r17599 = r17597 + r17598;
double r17600 = r17593 * r17599;
return r17600;
}
double f(double re, double im) {
double r17601 = 0.5;
double r17602 = im;
double r17603 = exp(r17602);
double r17604 = re;
double r17605 = sin(r17604);
double r17606 = 0.0;
double r17607 = r17602 - r17606;
double r17608 = exp(r17607);
double r17609 = r17605 / r17608;
double r17610 = fma(r17603, r17605, r17609);
double r17611 = r17601 * r17610;
return r17611;
}



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))))