Average Error: 0.0 → 0.0
Time: 3.9s
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 r54849 = re;
        double r54850 = exp(r54849);
        double r54851 = im;
        double r54852 = sin(r54851);
        double r54853 = r54850 * r54852;
        return r54853;
}
↓
double f(double re, double im) {
        double r54854 = re;
        double r54855 = exp(r54854);
        double r54856 = im;
        double r54857 = sin(r54856);
        double r54858 = r54855 * r54857;
        return r54858;
}

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 2020065 
(FPCore (re im)
  :name "math.exp on complex, imaginary part"
  :precision binary64
  (* (exp re) (sin im)))