\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 r17188 = 0.5;
double r17189 = re;
double r17190 = sin(r17189);
double r17191 = r17188 * r17190;
double r17192 = 0.0;
double r17193 = im;
double r17194 = r17192 - r17193;
double r17195 = exp(r17194);
double r17196 = exp(r17193);
double r17197 = r17195 + r17196;
double r17198 = r17191 * r17197;
return r17198;
}
double f(double re, double im) {
double r17199 = 0.5;
double r17200 = re;
double r17201 = sin(r17200);
double r17202 = r17199 * r17201;
double r17203 = 0.0;
double r17204 = im;
double r17205 = r17203 - r17204;
double r17206 = exp(r17205);
double r17207 = r17202 * r17206;
double r17208 = exp(r17204);
double r17209 = r17202 * r17208;
double r17210 = r17207 + r17209;
return r17210;
}



Bits error versus re



Bits error versus im
Results
Initial program 0.0
rmApplied distribute-lft-in0.0
Final simplification0.0
herbie shell --seed 2020024
(FPCore (re im)
:name "math.sin on complex, real part"
:precision binary64
(* (* 0.5 (sin re)) (+ (exp (- 0.0 im)) (exp im))))