Average Error: 0.0 → 0.0
Time: 5.0s
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 r11573572 = x;
        double r11573573 = y;
        double r11573574 = r11573572 * r11573573;
        double r11573575 = r11573574 * r11573573;
        double r11573576 = exp(r11573575);
        return r11573576;
}
↓
double f(double x, double y) {
        double r11573577 = x;
        double r11573578 = y;
        double r11573579 = r11573577 * r11573578;
        double r11573580 = r11573579 * r11573578;
        double r11573581 = exp(r11573580);
        return r11573581;
}

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