Average Error: 0.0 → 0.0
Time: 16.9s
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 r1559571 = re;
        double r1559572 = exp(r1559571);
        double r1559573 = im;
        double r1559574 = sin(r1559573);
        double r1559575 = r1559572 * r1559574;
        return r1559575;
}
↓
double f(double re, double im) {
        double r1559576 = im;
        double r1559577 = sin(r1559576);
        double r1559578 = re;
        double r1559579 = exp(r1559578);
        double r1559580 = r1559577 * r1559579;
        return r1559580;
}

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 2019142 
(FPCore (re im)
  :name "math.exp on complex, imaginary part"
  (* (exp re) (sin im)))