Average Error: 0.0 → 0.0
Time: 31.9s
Precision: 64
\[e^{\left(x \cdot y\right) \cdot y}\]
↓
\[e^{\left(y \cdot x\right) \cdot y}\]
e^{\left(x \cdot y\right) \cdot y}
↓
e^{\left(y \cdot x\right) \cdot y}
double f(double x, double y) {
        double r10774222 = x;
        double r10774223 = y;
        double r10774224 = r10774222 * r10774223;
        double r10774225 = r10774224 * r10774223;
        double r10774226 = exp(r10774225);
        return r10774226;
}
↓
double f(double x, double y) {
        double r10774227 = y;
        double r10774228 = x;
        double r10774229 = r10774227 * r10774228;
        double r10774230 = r10774229 * r10774227;
        double r10774231 = exp(r10774230);
        return r10774231;
}

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

    \[\leadsto e^{\left(y \cdot x\right) \cdot y}\]

Reproduce

herbie shell --seed 2019200 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  (exp (* (* x y) y)))