Average Error: 0.0 → 0.0
Time: 8.1s
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 r173428 = x;
        double r173429 = y;
        double r173430 = r173428 * r173429;
        double r173431 = r173430 * r173429;
        double r173432 = exp(r173431);
        return r173432;
}
↓
double f(double x, double y) {
        double r173433 = x;
        double r173434 = y;
        double r173435 = r173433 * r173434;
        double r173436 = r173435 * r173434;
        double r173437 = exp(r173436);
        return r173437;
}

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 2019323 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  :precision binary64
  (exp (* (* x y) y)))