Average Error: 0.0 → 0.0
Time: 18.3s
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 r45645 = re;
        double r45646 = exp(r45645);
        double r45647 = im;
        double r45648 = sin(r45647);
        double r45649 = r45646 * r45648;
        return r45649;
}
↓
double f(double re, double im) {
        double r45650 = re;
        double r45651 = exp(r45650);
        double r45652 = im;
        double r45653 = sin(r45652);
        double r45654 = r45651 * r45653;
        return r45654;
}

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 2019325 
(FPCore (re im)
  :name "math.exp on complex, imaginary part"
  :precision binary64
  (* (exp re) (sin im)))