Average Error: 0.0 → 0.0
Time: 5.7s
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 r38545 = re;
        double r38546 = exp(r38545);
        double r38547 = im;
        double r38548 = sin(r38547);
        double r38549 = r38546 * r38548;
        return r38549;
}
↓
double f(double re, double im) {
        double r38550 = re;
        double r38551 = exp(r38550);
        double r38552 = im;
        double r38553 = sin(r38552);
        double r38554 = r38551 * r38553;
        return r38554;
}

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 2020046 
(FPCore (re im)
  :name "math.exp on complex, imaginary part"
  :precision binary64
  (* (exp re) (sin im)))