Average Error: 0.0 → 0.0
Time: 41.4s
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 r15144842 = x;
        double r15144843 = y;
        double r15144844 = r15144842 * r15144843;
        double r15144845 = r15144844 * r15144843;
        double r15144846 = exp(r15144845);
        return r15144846;
}
↓
double f(double x, double y) {
        double r15144847 = x;
        double r15144848 = y;
        double r15144849 = r15144847 * r15144848;
        double r15144850 = r15144849 * r15144848;
        double r15144851 = exp(r15144850);
        return r15144851;
}

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 2019165 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  (exp (* (* x y) y)))