Average Error: 0.0 → 0.0
Time: 9.5s
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 r7944524 = x;
        double r7944525 = y;
        double r7944526 = r7944524 * r7944525;
        double r7944527 = r7944526 * r7944525;
        double r7944528 = exp(r7944527);
        return r7944528;
}
↓
double f(double x, double y) {
        double r7944529 = x;
        double r7944530 = y;
        double r7944531 = r7944529 * r7944530;
        double r7944532 = r7944531 * r7944530;
        double r7944533 = exp(r7944532);
        return r7944533;
}

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