Average Error: 0.0 → 0.0
Time: 6.9s
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 r2450035 = re;
        double r2450036 = exp(r2450035);
        double r2450037 = im;
        double r2450038 = sin(r2450037);
        double r2450039 = r2450036 * r2450038;
        return r2450039;
}
↓
double f(double re, double im) {
        double r2450040 = im;
        double r2450041 = sin(r2450040);
        double r2450042 = re;
        double r2450043 = exp(r2450042);
        double r2450044 = r2450041 * r2450043;
        return r2450044;
}

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 2019179 
(FPCore (re im)
  :name "math.exp on complex, imaginary part"
  (* (exp re) (sin im)))