Average Error: 0.0 → 0.0
Time: 704.0ms
Precision: 64
\[e^{\left(x \cdot y\right) \cdot y}\]
↓
\[e^{\left(x \cdot y\right) \cdot y}\]
e^{\left(x \cdot y\right) \cdot y}
↓
e^{\left(x \cdot y\right) \cdot y}
double f(double x, double y) {
        double r263151 = x;
        double r263152 = y;
        double r263153 = r263151 * r263152;
        double r263154 = r263153 * r263152;
        double r263155 = exp(r263154);
        return r263155;
}
↓
double f(double x, double y) {
        double r263156 = x;
        double r263157 = y;
        double r263158 = r263156 * r263157;
        double r263159 = r263158 * r263157;
        double r263160 = exp(r263159);
        return r263160;
}

Error

Bits error versus x

Bits error versus y

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 0.0

    \[e^{\left(x \cdot y\right) \cdot y}\]

  2. Final simplification0.0

    \[\leadsto e^{\left(x \cdot y\right) \cdot y}\]

Reproduce

herbie shell --seed 2020027 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  :precision binary64
  (exp (* (* x y) y)))