Average Error: 0.0 → 0.0
Time: 1.5s
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 r194047 = x;
        double r194048 = y;
        double r194049 = r194047 * r194048;
        double r194050 = r194049 * r194048;
        double r194051 = exp(r194050);
        return r194051;
}
↓
double f(double x, double y) {
        double r194052 = x;
        double r194053 = y;
        double r194054 = r194052 * r194053;
        double r194055 = r194054 * r194053;
        double r194056 = exp(r194055);
        return r194056;
}

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 2020060 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  :precision binary64
  (exp (* (* x y) y)))