Average Error: 0.0 → 0.0
Time: 698.0ms
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 r271660 = x;
        double r271661 = y;
        double r271662 = r271660 * r271661;
        double r271663 = r271662 * r271661;
        double r271664 = exp(r271663);
        return r271664;
}
↓
double f(double x, double y) {
        double r271665 = x;
        double r271666 = y;
        double r271667 = r271665 * r271666;
        double r271668 = r271667 * r271666;
        double r271669 = exp(r271668);
        return r271669;
}

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 2019353 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  :precision binary64
  (exp (* (* x y) y)))