Average Error: 0.0 → 0.0
Time: 9.6s
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 r11865732 = x;
        double r11865733 = y;
        double r11865734 = r11865732 * r11865733;
        double r11865735 = r11865734 * r11865733;
        double r11865736 = exp(r11865735);
        return r11865736;
}
↓
double f(double x, double y) {
        double r11865737 = x;
        double r11865738 = y;
        double r11865739 = r11865737 * r11865738;
        double r11865740 = r11865739 * r11865738;
        double r11865741 = exp(r11865740);
        return r11865741;
}

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 2019172 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  (exp (* (* x y) y)))