Average Error: 0.0 → 0.0
Time: 24.0s
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 r1308708 = re;
        double r1308709 = exp(r1308708);
        double r1308710 = im;
        double r1308711 = sin(r1308710);
        double r1308712 = r1308709 * r1308711;
        return r1308712;
}
↓
double f(double re, double im) {
        double r1308713 = im;
        double r1308714 = sin(r1308713);
        double r1308715 = re;
        double r1308716 = exp(r1308715);
        double r1308717 = r1308714 * r1308716;
        return r1308717;
}

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 2019130 
(FPCore (re im)
  :name "math.exp on complex, imaginary part"
  (* (exp re) (sin im)))