Average Error: 0.0 → 0.0
Time: 17.6s
Precision: 64
\[e^{re} \cdot \sin im\]
↓
\[\sin im \cdot e^{re}\]
e^{re} \cdot \sin im
↓
\sin im \cdot e^{re}
double f(double re, double im) {
        double r1759209 = re;
        double r1759210 = exp(r1759209);
        double r1759211 = im;
        double r1759212 = sin(r1759211);
        double r1759213 = r1759210 * r1759212;
        return r1759213;
}
↓
double f(double re, double im) {
        double r1759214 = im;
        double r1759215 = sin(r1759214);
        double r1759216 = re;
        double r1759217 = exp(r1759216);
        double r1759218 = r1759215 * r1759217;
        return r1759218;
}

Error

Bits error versus re

Bits error versus im

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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

    \[\leadsto \sin im \cdot e^{re}\]

Reproduce

herbie shell --seed 2019143 
(FPCore (re im)
  :name "math.exp on complex, imaginary part"
  (* (exp re) (sin im)))