Average Error: 0.0 → 0.0
Time: 7.2s
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 r1091012 = re;
        double r1091013 = exp(r1091012);
        double r1091014 = im;
        double r1091015 = sin(r1091014);
        double r1091016 = r1091013 * r1091015;
        return r1091016;
}
↓
double f(double re, double im) {
        double r1091017 = im;
        double r1091018 = sin(r1091017);
        double r1091019 = re;
        double r1091020 = exp(r1091019);
        double r1091021 = r1091018 * r1091020;
        return r1091021;
}

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 2019107 
(FPCore (re im)
  :name "math.exp on complex, imaginary part"
  (* (exp re) (sin im)))