Average Error: 0.0 → 0.0
Time: 16.2s
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 r11832136 = x;
        double r11832137 = y;
        double r11832138 = r11832136 * r11832137;
        double r11832139 = r11832138 * r11832137;
        double r11832140 = exp(r11832139);
        return r11832140;
}
↓
double f(double x, double y) {
        double r11832141 = x;
        double r11832142 = y;
        double r11832143 = r11832141 * r11832142;
        double r11832144 = r11832143 * r11832142;
        double r11832145 = exp(r11832144);
        return r11832145;
}

Error

Bits error versus x

Bits error versus y

Try it out

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 2019171 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  (exp (* (* x y) y)))