Average Error: 0.0 → 0.0
Time: 12.4s
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 r2669045 = re;
        double r2669046 = exp(r2669045);
        double r2669047 = im;
        double r2669048 = sin(r2669047);
        double r2669049 = r2669046 * r2669048;
        return r2669049;
}
↓
double f(double re, double im) {
        double r2669050 = im;
        double r2669051 = sin(r2669050);
        double r2669052 = re;
        double r2669053 = exp(r2669052);
        double r2669054 = r2669051 * r2669053;
        return r2669054;
}

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 2019104 
(FPCore (re im)
  :name "math.exp on complex, imaginary part"
  (* (exp re) (sin im)))