Average Error: 0.0 → 0.0
Time: 23.3s
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 r1697453 = re;
        double r1697454 = exp(r1697453);
        double r1697455 = im;
        double r1697456 = sin(r1697455);
        double r1697457 = r1697454 * r1697456;
        return r1697457;
}
↓
double f(double re, double im) {
        double r1697458 = im;
        double r1697459 = sin(r1697458);
        double r1697460 = re;
        double r1697461 = exp(r1697460);
        double r1697462 = r1697459 * r1697461;
        return r1697462;
}

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 2019168 
(FPCore (re im)
  :name "math.exp on complex, imaginary part"
  (* (exp re) (sin im)))