\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 r23864 = 0.5;
double r23865 = re;
double r23866 = sin(r23865);
double r23867 = r23864 * r23866;
double r23868 = 0.0;
double r23869 = im;
double r23870 = r23868 - r23869;
double r23871 = exp(r23870);
double r23872 = exp(r23869);
double r23873 = r23871 + r23872;
double r23874 = r23867 * r23873;
return r23874;
}
double f(double re, double im) {
double r23875 = 0.5;
double r23876 = re;
double r23877 = sin(r23876);
double r23878 = r23875 * r23877;
double r23879 = 0.0;
double r23880 = im;
double r23881 = r23879 - r23880;
double r23882 = exp(r23881);
double r23883 = r23878 * r23882;
double r23884 = exp(r23880);
double r23885 = r23878 * r23884;
double r23886 = r23883 + r23885;
return r23886;
}



Bits error versus re



Bits error versus im
Results
Initial program 0.0
rmApplied distribute-lft-in0.1
Final simplification0.1
herbie shell --seed 2020002
(FPCore (re im)
:name "math.sin on complex, real part"
:precision binary64
(* (* 0.5 (sin re)) (+ (exp (- 0.0 im)) (exp im))))