Average Error: 0.0 → 0.0
Time: 6.3s
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 r11835168 = x;
        double r11835169 = y;
        double r11835170 = r11835168 * r11835169;
        double r11835171 = r11835170 * r11835169;
        double r11835172 = exp(r11835171);
        return r11835172;
}
↓
double f(double x, double y) {
        double r11835173 = x;
        double r11835174 = y;
        double r11835175 = r11835173 * r11835174;
        double r11835176 = r11835175 * r11835174;
        double r11835177 = exp(r11835176);
        return r11835177;
}

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 2019170 +o rules:numerics
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  (exp (* (* x y) y)))