Average Error: 0.0 → 0.0
Time: 17.4s
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 r1986955 = re;
        double r1986956 = exp(r1986955);
        double r1986957 = im;
        double r1986958 = sin(r1986957);
        double r1986959 = r1986956 * r1986958;
        return r1986959;
}
↓
double f(double re, double im) {
        double r1986960 = im;
        double r1986961 = sin(r1986960);
        double r1986962 = re;
        double r1986963 = exp(r1986962);
        double r1986964 = r1986961 * r1986963;
        return r1986964;
}

Error

Bits error versus re

Bits error versus im

Try it out

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 2019165 
(FPCore (re im)
  :name "math.exp on complex, imaginary part"
  (* (exp re) (sin im)))