\left(0.5 \cdot \sin re\right) \cdot \left(e^{0.0 - im} + e^{im}\right)\frac{\left(0.5 \cdot \sin re\right) \cdot e^{0.0}}{e^{im}} + \left(0.5 \cdot \sin re\right) \cdot e^{im}double f(double re, double im) {
double r20393 = 0.5;
double r20394 = re;
double r20395 = sin(r20394);
double r20396 = r20393 * r20395;
double r20397 = 0.0;
double r20398 = im;
double r20399 = r20397 - r20398;
double r20400 = exp(r20399);
double r20401 = exp(r20398);
double r20402 = r20400 + r20401;
double r20403 = r20396 * r20402;
return r20403;
}
double f(double re, double im) {
double r20404 = 0.5;
double r20405 = re;
double r20406 = sin(r20405);
double r20407 = r20404 * r20406;
double r20408 = 0.0;
double r20409 = exp(r20408);
double r20410 = r20407 * r20409;
double r20411 = im;
double r20412 = exp(r20411);
double r20413 = r20410 / r20412;
double r20414 = r20407 * r20412;
double r20415 = r20413 + r20414;
return r20415;
}



Bits error versus re



Bits error versus im
Results
Initial program 0.0
rmApplied distribute-lft-in0.0
rmApplied exp-diff0.0
Applied associate-*r/0.0
Final simplification0.0
herbie shell --seed 2019323
(FPCore (re im)
:name "math.sin on complex, real part"
:precision binary64
(* (* 0.5 (sin re)) (+ (exp (- 0.0 im)) (exp im))))