Average Error: 0.0 → 0.0
Time: 10.5s
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 r1695360 = re;
        double r1695361 = exp(r1695360);
        double r1695362 = im;
        double r1695363 = sin(r1695362);
        double r1695364 = r1695361 * r1695363;
        return r1695364;
}
↓
double f(double re, double im) {
        double r1695365 = im;
        double r1695366 = sin(r1695365);
        double r1695367 = re;
        double r1695368 = exp(r1695367);
        double r1695369 = r1695366 * r1695368;
        return r1695369;
}

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 2019162 
(FPCore (re im)
  :name "math.exp on complex, imaginary part"
  (* (exp re) (sin im)))