Average Error: 0.0 → 0.0
Time: 16.9s
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 r47821 = re;
        double r47822 = exp(r47821);
        double r47823 = im;
        double r47824 = sin(r47823);
        double r47825 = r47822 * r47824;
        return r47825;
}
↓
double f(double re, double im) {
        double r47826 = re;
        double r47827 = exp(r47826);
        double r47828 = im;
        double r47829 = sin(r47828);
        double r47830 = r47827 * r47829;
        return r47830;
}

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 2019303 
(FPCore (re im)
  :name "math.exp on complex, imaginary part"
  :precision binary64
  (* (exp re) (sin im)))