Average Error: 0.0 → 0.0
Time: 6.3s
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 r201819 = x;
        double r201820 = y;
        double r201821 = r201819 * r201820;
        double r201822 = r201821 * r201820;
        double r201823 = exp(r201822);
        return r201823;
}
↓
double f(double x, double y) {
        double r201824 = x;
        double r201825 = y;
        double r201826 = r201824 * r201825;
        double r201827 = r201826 * r201825;
        double r201828 = exp(r201827);
        return r201828;
}

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 2019212 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  :precision binary64
  (exp (* (* x y) y)))