Average Error: 0.0 → 0.0
Time: 16.8s
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 r46428 = re;
        double r46429 = exp(r46428);
        double r46430 = im;
        double r46431 = sin(r46430);
        double r46432 = r46429 * r46431;
        return r46432;
}
↓
double f(double re, double im) {
        double r46433 = re;
        double r46434 = exp(r46433);
        double r46435 = im;
        double r46436 = sin(r46435);
        double r46437 = r46434 * r46436;
        return r46437;
}

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)))