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 r57368 = re;
        double r57369 = exp(r57368);
        double r57370 = im;
        double r57371 = sin(r57370);
        double r57372 = r57369 * r57371;
        return r57372;
}
↓
double f(double re, double im) {
        double r57373 = re;
        double r57374 = exp(r57373);
        double r57375 = im;
        double r57376 = sin(r57375);
        double r57377 = r57374 * r57376;
        return r57377;
}

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 2020033 
(FPCore (re im)
  :name "math.exp on complex, imaginary part"
  :precision binary64
  (* (exp re) (sin im)))