Average Error: 0.0 → 0.0
Time: 12.7s
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 r2108429 = re;
        double r2108430 = exp(r2108429);
        double r2108431 = im;
        double r2108432 = sin(r2108431);
        double r2108433 = r2108430 * r2108432;
        return r2108433;
}
↓
double f(double re, double im) {
        double r2108434 = im;
        double r2108435 = sin(r2108434);
        double r2108436 = re;
        double r2108437 = exp(r2108436);
        double r2108438 = r2108435 * r2108437;
        return r2108438;
}

Error

Bits error versus re

Bits error versus im

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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 2019169 
(FPCore (re im)
  :name "math.exp on complex, imaginary part"
  (* (exp re) (sin im)))