Average Error: 0.0 → 0.0
Time: 14.3s
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 r4883243 = re;
        double r4883244 = exp(r4883243);
        double r4883245 = im;
        double r4883246 = sin(r4883245);
        double r4883247 = r4883244 * r4883246;
        return r4883247;
}
↓
double f(double re, double im) {
        double r4883248 = re;
        double r4883249 = exp(r4883248);
        double r4883250 = im;
        double r4883251 = sin(r4883250);
        double r4883252 = r4883249 * r4883251;
        return r4883252;
}

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 2019174 
(FPCore (re im)
  :name "math.exp on complex, imaginary part"
  (* (exp re) (sin im)))