Average Error: 0.0 → 0.0
Time: 19.4s
Precision: 64
\[e^{re} \cdot \sin im\]
↓
\[e^{re} \cdot \sin im\]
e^{re} \cdot \sin im
↓
e^{re} \cdot \sin im
double f(double re, double im) {
        double r47429 = re;
        double r47430 = exp(r47429);
        double r47431 = im;
        double r47432 = sin(r47431);
        double r47433 = r47430 * r47432;
        return r47433;
}
↓
double f(double re, double im) {
        double r47434 = re;
        double r47435 = exp(r47434);
        double r47436 = im;
        double r47437 = sin(r47436);
        double r47438 = r47435 * r47437;
        return r47438;
}

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

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

Reproduce

herbie shell --seed 2019323 
(FPCore (re im)
  :name "math.exp on complex, imaginary part"
  :precision binary64
  (* (exp re) (sin im)))