Average Error: 0.0 → 0.0
Time: 2.9s
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 r45264 = re;
        double r45265 = exp(r45264);
        double r45266 = im;
        double r45267 = sin(r45266);
        double r45268 = r45265 * r45267;
        return r45268;
}
↓
double f(double re, double im) {
        double r45269 = re;
        double r45270 = exp(r45269);
        double r45271 = im;
        double r45272 = sin(r45271);
        double r45273 = r45270 * r45272;
        return r45273;
}

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 2019326 
(FPCore (re im)
  :name "math.exp on complex, imaginary part"
  :precision binary64
  (* (exp re) (sin im)))