Average Error: 0.0 → 0.0
Time: 9.2s
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 r33400 = re;
        double r33401 = exp(r33400);
        double r33402 = im;
        double r33403 = sin(r33402);
        double r33404 = r33401 * r33403;
        return r33404;
}
↓
double f(double re, double im) {
        double r33405 = re;
        double r33406 = exp(r33405);
        double r33407 = im;
        double r33408 = sin(r33407);
        double r33409 = r33406 * r33408;
        return r33409;
}

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 2019297 
(FPCore (re im)
  :name "math.exp on complex, imaginary part"
  :precision binary64
  (* (exp re) (sin im)))