Average Error: 0.0 → 0.0
Time: 16.3s
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 r1134526 = re;
        double r1134527 = exp(r1134526);
        double r1134528 = im;
        double r1134529 = sin(r1134528);
        double r1134530 = r1134527 * r1134529;
        return r1134530;
}
↓
double f(double re, double im) {
        double r1134531 = im;
        double r1134532 = sin(r1134531);
        double r1134533 = re;
        double r1134534 = exp(r1134533);
        double r1134535 = r1134532 * r1134534;
        return r1134535;
}

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 2019137 
(FPCore (re im)
  :name "math.exp on complex, imaginary part"
  (* (exp re) (sin im)))