Average Error: 0.0 → 0.0
Time: 9.8s
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 r2380658 = re;
        double r2380659 = exp(r2380658);
        double r2380660 = im;
        double r2380661 = sin(r2380660);
        double r2380662 = r2380659 * r2380661;
        return r2380662;
}
↓
double f(double re, double im) {
        double r2380663 = im;
        double r2380664 = sin(r2380663);
        double r2380665 = re;
        double r2380666 = exp(r2380665);
        double r2380667 = r2380664 * r2380666;
        return r2380667;
}

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 2019128 
(FPCore (re im)
  :name "math.exp on complex, imaginary part"
  (* (exp re) (sin im)))