Average Error: 0.0 → 0.0
Time: 23.6s
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 r52619 = re;
        double r52620 = exp(r52619);
        double r52621 = im;
        double r52622 = sin(r52621);
        double r52623 = r52620 * r52622;
        return r52623;
}
↓
double f(double re, double im) {
        double r52624 = re;
        double r52625 = exp(r52624);
        double r52626 = im;
        double r52627 = sin(r52626);
        double r52628 = r52625 * r52627;
        return r52628;
}

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 2019199 
(FPCore (re im)
  :name "math.exp on complex, imaginary part"
  (* (exp re) (sin im)))