Average Error: 0.0 → 0.0
Time: 1.2s
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 r216817 = x;
        double r216818 = y;
        double r216819 = r216817 * r216818;
        double r216820 = r216819 * r216818;
        double r216821 = exp(r216820);
        return r216821;
}
↓
double f(double x, double y) {
        double r216822 = x;
        double r216823 = y;
        double r216824 = r216822 * r216823;
        double r216825 = r216824 * r216823;
        double r216826 = exp(r216825);
        return r216826;
}

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 2020081 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  :precision binary64
  (exp (* (* x y) y)))