\left(0.5 \cdot \sin re\right) \cdot \left(e^{0.0 - im} + e^{im}\right)e^{0.0 - im} \cdot \left(0.5 \cdot \sin re\right) + e^{im} \cdot \left(0.5 \cdot \sin re\right)double f(double re, double im) {
double r18213 = 0.5;
double r18214 = re;
double r18215 = sin(r18214);
double r18216 = r18213 * r18215;
double r18217 = 0.0;
double r18218 = im;
double r18219 = r18217 - r18218;
double r18220 = exp(r18219);
double r18221 = exp(r18218);
double r18222 = r18220 + r18221;
double r18223 = r18216 * r18222;
return r18223;
}
double f(double re, double im) {
double r18224 = 0.0;
double r18225 = im;
double r18226 = r18224 - r18225;
double r18227 = exp(r18226);
double r18228 = 0.5;
double r18229 = re;
double r18230 = sin(r18229);
double r18231 = r18228 * r18230;
double r18232 = r18227 * r18231;
double r18233 = exp(r18225);
double r18234 = r18233 * r18231;
double r18235 = r18232 + r18234;
return r18235;
}



Bits error versus re



Bits error versus im
Results
Initial program 0.0
rmApplied distribute-lft-in0.0
Simplified0.0
Simplified0.0
Final simplification0.0
herbie shell --seed 2019208 +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))))