Average Error: 0.0 → 0.0
Time: 14.2s
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 r1795311 = re;
        double r1795312 = exp(r1795311);
        double r1795313 = im;
        double r1795314 = sin(r1795313);
        double r1795315 = r1795312 * r1795314;
        return r1795315;
}
↓
double f(double re, double im) {
        double r1795316 = im;
        double r1795317 = sin(r1795316);
        double r1795318 = re;
        double r1795319 = exp(r1795318);
        double r1795320 = r1795317 * r1795319;
        return r1795320;
}

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 2019164 
(FPCore (re im)
  :name "math.exp on complex, imaginary part"
  (* (exp re) (sin im)))