Average Error: 0.0 → 0.0
Time: 5.9s
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 r8858100 = x;
        double r8858101 = y;
        double r8858102 = r8858100 * r8858101;
        double r8858103 = r8858102 * r8858101;
        double r8858104 = exp(r8858103);
        return r8858104;
}
↓
double f(double x, double y) {
        double r8858105 = x;
        double r8858106 = y;
        double r8858107 = r8858105 * r8858106;
        double r8858108 = r8858107 * r8858106;
        double r8858109 = exp(r8858108);
        return r8858109;
}

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)))