Average Error: 0.0 → 0.0
Time: 6.8s
Precision: 64
\[e^{re} \cdot \sin im\]
↓
\[\sin im \cdot e^{re}\]
e^{re} \cdot \sin im
↓
\sin im \cdot e^{re}
double f(double re, double im) {
        double r1062134 = re;
        double r1062135 = exp(r1062134);
        double r1062136 = im;
        double r1062137 = sin(r1062136);
        double r1062138 = r1062135 * r1062137;
        return r1062138;
}
↓
double f(double re, double im) {
        double r1062139 = im;
        double r1062140 = sin(r1062139);
        double r1062141 = re;
        double r1062142 = exp(r1062141);
        double r1062143 = r1062140 * r1062142;
        return r1062143;
}

Error

Bits error versus re

Bits error versus im

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 0.0

    \[e^{re} \cdot \sin im\]

  2. Final simplification0.0

    \[\leadsto \sin im \cdot e^{re}\]

Reproduce

herbie shell --seed 2019107 
(FPCore (re im)
  :name "math.exp on complex, imaginary part"
  (* (exp re) (sin im)))