Average Error: 0.0 → 0.0
Time: 22.3s
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 r47416 = re;
        double r47417 = exp(r47416);
        double r47418 = im;
        double r47419 = sin(r47418);
        double r47420 = r47417 * r47419;
        return r47420;
}
↓
double f(double re, double im) {
        double r47421 = re;
        double r47422 = exp(r47421);
        double r47423 = im;
        double r47424 = sin(r47423);
        double r47425 = r47422 * r47424;
        return r47425;
}

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 2019306 
(FPCore (re im)
  :name "math.exp on complex, imaginary part"
  :precision binary64
  (* (exp re) (sin im)))