Average Error: 0.0 → 0.0
Time: 10.7s
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 r1073118 = re;
        double r1073119 = exp(r1073118);
        double r1073120 = im;
        double r1073121 = sin(r1073120);
        double r1073122 = r1073119 * r1073121;
        return r1073122;
}
↓
double f(double re, double im) {
        double r1073123 = im;
        double r1073124 = sin(r1073123);
        double r1073125 = re;
        double r1073126 = exp(r1073125);
        double r1073127 = r1073124 * r1073126;
        return r1073127;
}

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 2019134 
(FPCore (re im)
  :name "math.exp on complex, imaginary part"
  (* (exp re) (sin im)))