Average Error: 0.0 → 0.0
Time: 2.8s
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 r65632 = re;
        double r65633 = exp(r65632);
        double r65634 = im;
        double r65635 = sin(r65634);
        double r65636 = r65633 * r65635;
        return r65636;
}
↓
double f(double re, double im) {
        double r65637 = re;
        double r65638 = exp(r65637);
        double r65639 = im;
        double r65640 = sin(r65639);
        double r65641 = r65638 * r65640;
        return r65641;
}

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 2019356 
(FPCore (re im)
  :name "math.exp on complex, imaginary part"
  :precision binary64
  (* (exp re) (sin im)))