Average Error: 0.0 → 0.0
Time: 58.6s
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 r40299 = re;
        double r40300 = exp(r40299);
        double r40301 = im;
        double r40302 = sin(r40301);
        double r40303 = r40300 * r40302;
        return r40303;
}
↓
double f(double re, double im) {
        double r40304 = re;
        double r40305 = exp(r40304);
        double r40306 = im;
        double r40307 = sin(r40306);
        double r40308 = r40305 * r40307;
        return r40308;
}

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 2019202 
(FPCore (re im)
  :name "math.exp on complex, imaginary part"
  (* (exp re) (sin im)))