Average Error: 0.0 → 0.0
Time: 6.0s
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 r9430927 = x;
        double r9430928 = y;
        double r9430929 = r9430927 * r9430928;
        double r9430930 = r9430929 * r9430928;
        double r9430931 = exp(r9430930);
        return r9430931;
}
↓
double f(double x, double y) {
        double r9430932 = x;
        double r9430933 = y;
        double r9430934 = r9430932 * r9430933;
        double r9430935 = r9430934 * r9430933;
        double r9430936 = exp(r9430935);
        return r9430936;
}

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 2019158 +o rules:numerics
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  (exp (* (* x y) y)))