Average Error: 0.0 → 0.0
Time: 5.2s
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 r11217797 = x;
        double r11217798 = y;
        double r11217799 = r11217797 * r11217798;
        double r11217800 = r11217799 * r11217798;
        double r11217801 = exp(r11217800);
        return r11217801;
}
↓
double f(double x, double y) {
        double r11217802 = x;
        double r11217803 = y;
        double r11217804 = r11217802 * r11217803;
        double r11217805 = r11217804 * r11217803;
        double r11217806 = exp(r11217805);
        return r11217806;
}

Error

Bits error versus x

Bits error versus y

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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 2019162 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  (exp (* (* x y) y)))