Average Error: 0.0 → 0.0
Time: 9.5s
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 r1695454 = re;
        double r1695455 = exp(r1695454);
        double r1695456 = im;
        double r1695457 = sin(r1695456);
        double r1695458 = r1695455 * r1695457;
        return r1695458;
}
↓
double f(double re, double im) {
        double r1695459 = im;
        double r1695460 = sin(r1695459);
        double r1695461 = re;
        double r1695462 = exp(r1695461);
        double r1695463 = r1695460 * r1695462;
        return r1695463;
}

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 2019162 
(FPCore (re im)
  :name "math.exp on complex, imaginary part"
  (* (exp re) (sin im)))