Average Error: 0.0 → 0.0
Time: 11.1s
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 r9172561 = x;
        double r9172562 = y;
        double r9172563 = r9172561 * r9172562;
        double r9172564 = r9172563 * r9172562;
        double r9172565 = exp(r9172564);
        return r9172565;
}
↓
double f(double x, double y) {
        double r9172566 = x;
        double r9172567 = y;
        double r9172568 = r9172566 * r9172567;
        double r9172569 = r9172568 * r9172567;
        double r9172570 = exp(r9172569);
        return r9172570;
}

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 2019168 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  (exp (* (* x y) y)))