Average Error: 0.0 → 0.0
Time: 8.0s
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 r155929 = x;
        double r155930 = y;
        double r155931 = r155929 * r155930;
        double r155932 = r155931 * r155930;
        double r155933 = exp(r155932);
        return r155933;
}
↓
double f(double x, double y) {
        double r155934 = x;
        double r155935 = y;
        double r155936 = r155934 * r155935;
        double r155937 = r155936 * r155935;
        double r155938 = exp(r155937);
        return r155938;
}

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 2019303 +o rules:numerics
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  :precision binary64
  (exp (* (* x y) y)))