Average Error: 0.0 → 0.0
Time: 3.6s
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 r161734 = x;
        double r161735 = y;
        double r161736 = r161734 * r161735;
        double r161737 = r161736 * r161735;
        double r161738 = exp(r161737);
        return r161738;
}
↓
double f(double x, double y) {
        double r161739 = x;
        double r161740 = y;
        double r161741 = r161739 * r161740;
        double r161742 = r161741 * r161740;
        double r161743 = exp(r161742);
        return r161743;
}

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 2019291 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  :precision binary64
  (exp (* (* x y) y)))