Average Error: 0.0 → 0.0
Time: 16.7s
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 r49832 = re;
        double r49833 = exp(r49832);
        double r49834 = im;
        double r49835 = sin(r49834);
        double r49836 = r49833 * r49835;
        return r49836;
}
↓
double f(double re, double im) {
        double r49837 = re;
        double r49838 = exp(r49837);
        double r49839 = im;
        double r49840 = sin(r49839);
        double r49841 = r49838 * r49840;
        return r49841;
}

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 2019351 
(FPCore (re im)
  :name "math.exp on complex, imaginary part"
  :precision binary64
  (* (exp re) (sin im)))