Average Error: 0.0 → 0.0
Time: 17.4s
Precision: 64
\[e^{re} \cdot \sin im\]
↓
\[\sin im \cdot e^{re}\]
e^{re} \cdot \sin im
↓
\sin im \cdot e^{re}
double f(double re, double im) {
        double r1955589 = re;
        double r1955590 = exp(r1955589);
        double r1955591 = im;
        double r1955592 = sin(r1955591);
        double r1955593 = r1955590 * r1955592;
        return r1955593;
}
↓
double f(double re, double im) {
        double r1955594 = im;
        double r1955595 = sin(r1955594);
        double r1955596 = re;
        double r1955597 = exp(r1955596);
        double r1955598 = r1955595 * r1955597;
        return r1955598;
}

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

    \[\leadsto \sin im \cdot e^{re}\]

Reproduce

herbie shell --seed 2019132 
(FPCore (re im)
  :name "math.exp on complex, imaginary part"
  (* (exp re) (sin im)))