Average Error: 0.0 → 0.0
Time: 16.2s
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 r1661093 = re;
        double r1661094 = exp(r1661093);
        double r1661095 = im;
        double r1661096 = sin(r1661095);
        double r1661097 = r1661094 * r1661096;
        return r1661097;
}
↓
double f(double re, double im) {
        double r1661098 = im;
        double r1661099 = sin(r1661098);
        double r1661100 = re;
        double r1661101 = exp(r1661100);
        double r1661102 = r1661099 * r1661101;
        return r1661102;
}

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 2019139 
(FPCore (re im)
  :name "math.exp on complex, imaginary part"
  (* (exp re) (sin im)))