Average Error: 0.0 → 0.0
Time: 18.9s
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 r36022 = re;
        double r36023 = exp(r36022);
        double r36024 = im;
        double r36025 = sin(r36024);
        double r36026 = r36023 * r36025;
        return r36026;
}
↓
double f(double re, double im) {
        double r36027 = re;
        double r36028 = exp(r36027);
        double r36029 = im;
        double r36030 = sin(r36029);
        double r36031 = r36028 * r36030;
        return r36031;
}

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 2019303 
(FPCore (re im)
  :name "math.exp on complex, imaginary part"
  :precision binary64
  (* (exp re) (sin im)))