Average Error: 0.0 → 0.0
Time: 10.9s
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 r3332890 = re;
        double r3332891 = exp(r3332890);
        double r3332892 = im;
        double r3332893 = sin(r3332892);
        double r3332894 = r3332891 * r3332893;
        return r3332894;
}
↓
double f(double re, double im) {
        double r3332895 = im;
        double r3332896 = sin(r3332895);
        double r3332897 = re;
        double r3332898 = exp(r3332897);
        double r3332899 = r3332896 * r3332898;
        return r3332899;
}

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 2019168 
(FPCore (re im)
  :name "math.exp on complex, imaginary part"
  (* (exp re) (sin im)))