\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 r26277 = 0.5;
double r26278 = re;
double r26279 = sin(r26278);
double r26280 = r26277 * r26279;
double r26281 = 0.0;
double r26282 = im;
double r26283 = r26281 - r26282;
double r26284 = exp(r26283);
double r26285 = exp(r26282);
double r26286 = r26284 + r26285;
double r26287 = r26280 * r26286;
return r26287;
}
double f(double re, double im) {
double r26288 = 0.5;
double r26289 = re;
double r26290 = sin(r26289);
double r26291 = r26288 * r26290;
double r26292 = 0.0;
double r26293 = im;
double r26294 = r26292 - r26293;
double r26295 = exp(r26294);
double r26296 = r26291 * r26295;
double r26297 = exp(r26293);
double r26298 = r26291 * r26297;
double r26299 = r26296 + r26298;
return r26299;
}



Bits error versus re



Bits error versus im
Results
Initial program 0.0
rmApplied distribute-lft-in0.0
Final simplification0.0
herbie shell --seed 2020033
(FPCore (re im)
:name "math.sin on complex, real part"
:precision binary64
(* (* 0.5 (sin re)) (+ (exp (- 0.0 im)) (exp im))))