Average Error: 0.0 → 0.0
Time: 12.7s
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 r31822 = re;
        double r31823 = exp(r31822);
        double r31824 = im;
        double r31825 = sin(r31824);
        double r31826 = r31823 * r31825;
        return r31826;
}
↓
double f(double re, double im) {
        double r31827 = re;
        double r31828 = exp(r31827);
        double r31829 = im;
        double r31830 = sin(r31829);
        double r31831 = r31828 * r31830;
        return r31831;
}

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 2019198 
(FPCore (re im)
  :name "math.exp on complex, imaginary part"
  (* (exp re) (sin im)))