Average Error: 0.0 → 0.0
Time: 15.0s
Precision: 64
\[e^{re} \cdot \sin im\]
↓
\[e^{re} \cdot \sin im\]
e^{re} \cdot \sin im
↓
e^{re} \cdot \sin im
double f(double re, double im) {
        double r43928 = re;
        double r43929 = exp(r43928);
        double r43930 = im;
        double r43931 = sin(r43930);
        double r43932 = r43929 * r43931;
        return r43932;
}
↓
double f(double re, double im) {
        double r43933 = re;
        double r43934 = exp(r43933);
        double r43935 = im;
        double r43936 = sin(r43935);
        double r43937 = r43934 * r43936;
        return r43937;
}

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

    \[\leadsto e^{re} \cdot \sin im\]

Reproduce

herbie shell --seed 2020047 
(FPCore (re im)
  :name "math.exp on complex, imaginary part"
  :precision binary64
  (* (exp re) (sin im)))