Average Error: 0.0 → 0.0
Time: 19.3s
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 r47875 = re;
        double r47876 = exp(r47875);
        double r47877 = im;
        double r47878 = sin(r47877);
        double r47879 = r47876 * r47878;
        return r47879;
}
↓
double f(double re, double im) {
        double r47880 = re;
        double r47881 = exp(r47880);
        double r47882 = im;
        double r47883 = sin(r47882);
        double r47884 = r47881 * r47883;
        return r47884;
}

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)))