Average Error: 0.0 → 0.0
Time: 1.4s
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 r236077 = x;
        double r236078 = y;
        double r236079 = r236077 * r236078;
        double r236080 = r236079 * r236078;
        double r236081 = exp(r236080);
        return r236081;
}
↓
double f(double x, double y) {
        double r236082 = x;
        double r236083 = y;
        double r236084 = r236082 * r236083;
        double r236085 = r236084 * r236083;
        double r236086 = exp(r236085);
        return r236086;
}

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 2020003 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  :precision binary64
  (exp (* (* x y) y)))