Average Error: 0.0 → 0.0
Time: 2.9s
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 r109318 = x;
        double r109319 = y;
        double r109320 = r109318 * r109319;
        double r109321 = r109320 * r109319;
        double r109322 = exp(r109321);
        return r109322;
}
↓
double f(double x, double y) {
        double r109323 = x;
        double r109324 = y;
        double r109325 = r109323 * r109324;
        double r109326 = r109325 * r109324;
        double r109327 = exp(r109326);
        return r109327;
}

Error

Bits error versus x

Bits error versus y

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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 2019194 +o rules:numerics
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  (exp (* (* x y) y)))