Average Error: 0.0 → 0.0
Time: 18.0s
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 r1704262 = re;
        double r1704263 = exp(r1704262);
        double r1704264 = im;
        double r1704265 = sin(r1704264);
        double r1704266 = r1704263 * r1704265;
        return r1704266;
}
↓
double f(double re, double im) {
        double r1704267 = im;
        double r1704268 = sin(r1704267);
        double r1704269 = re;
        double r1704270 = exp(r1704269);
        double r1704271 = r1704268 * r1704270;
        return r1704271;
}

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 2019151 
(FPCore (re im)
  :name "math.exp on complex, imaginary part"
  (* (exp re) (sin im)))