Average Error: 0.0 → 0.0
Time: 1.2s
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 r274283 = x;
        double r274284 = y;
        double r274285 = r274283 * r274284;
        double r274286 = r274285 * r274284;
        double r274287 = exp(r274286);
        return r274287;
}
↓
double f(double x, double y) {
        double r274288 = x;
        double r274289 = y;
        double r274290 = r274288 * r274289;
        double r274291 = r274290 * r274289;
        double r274292 = exp(r274291);
        return r274292;
}

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 2019354 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  :precision binary64
  (exp (* (* x y) y)))