\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 r15149 = 0.5;
double r15150 = re;
double r15151 = sin(r15150);
double r15152 = r15149 * r15151;
double r15153 = 0.0;
double r15154 = im;
double r15155 = r15153 - r15154;
double r15156 = exp(r15155);
double r15157 = exp(r15154);
double r15158 = r15156 + r15157;
double r15159 = r15152 * r15158;
return r15159;
}
double f(double re, double im) {
double r15160 = 0.5;
double r15161 = re;
double r15162 = sin(r15161);
double r15163 = r15160 * r15162;
double r15164 = 0.0;
double r15165 = im;
double r15166 = r15164 - r15165;
double r15167 = exp(r15166);
double r15168 = r15163 * r15167;
double r15169 = exp(r15165);
double r15170 = r15163 * r15169;
double r15171 = r15168 + r15170;
return r15171;
}



Bits error versus re



Bits error versus im
Results
Initial program 0.0
rmApplied distribute-lft-in0.0
Final simplification0.0
herbie shell --seed 2019303 +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))))