Average Error: 0.0 → 0.0
Time: 7.8s
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 r237152 = x;
        double r237153 = y;
        double r237154 = r237152 * r237153;
        double r237155 = r237154 * r237153;
        double r237156 = exp(r237155);
        return r237156;
}
↓
double f(double x, double y) {
        double r237157 = x;
        double r237158 = y;
        double r237159 = r237157 * r237158;
        double r237160 = r237159 * r237158;
        double r237161 = exp(r237160);
        return r237161;
}

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 2019326 +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)))