Average Error: 0.0 → 0.0
Time: 9.7s
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 r7013203 = x;
        double r7013204 = y;
        double r7013205 = r7013203 * r7013204;
        double r7013206 = r7013205 * r7013204;
        double r7013207 = exp(r7013206);
        return r7013207;
}
↓
double f(double x, double y) {
        double r7013208 = x;
        double r7013209 = y;
        double r7013210 = r7013208 * r7013209;
        double r7013211 = r7013210 * r7013209;
        double r7013212 = exp(r7013211);
        return r7013212;
}

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 2019172 +o rules:numerics
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  (exp (* (* x y) y)))