Average Error: 0.0 → 0.0
Time: 7.0s
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 r322535 = x;
        double r322536 = y;
        double r322537 = r322535 * r322536;
        double r322538 = r322537 * r322536;
        double r322539 = exp(r322538);
        return r322539;
}
↓
double f(double x, double y) {
        double r322540 = x;
        double r322541 = y;
        double r322542 = r322540 * r322541;
        double r322543 = r322542 * r322541;
        double r322544 = exp(r322543);
        return r322544;
}

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 2020046 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  :precision binary64
  (exp (* (* x y) y)))