Average Error: 0.0 → 0.0
Time: 8.6s
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 r190553 = x;
        double r190554 = y;
        double r190555 = r190553 * r190554;
        double r190556 = r190555 * r190554;
        double r190557 = exp(r190556);
        return r190557;
}
↓
double f(double x, double y) {
        double r190558 = x;
        double r190559 = y;
        double r190560 = r190558 * r190559;
        double r190561 = r190560 * r190559;
        double r190562 = exp(r190561);
        return r190562;
}

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 2019306 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  :precision binary64
  (exp (* (* x y) y)))