Average Error: 0.0 → 0.0
Time: 976.0ms
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 r275433 = x;
        double r275434 = y;
        double r275435 = r275433 * r275434;
        double r275436 = r275435 * r275434;
        double r275437 = exp(r275436);
        return r275437;
}
↓
double f(double x, double y) {
        double r275438 = x;
        double r275439 = y;
        double r275440 = r275438 * r275439;
        double r275441 = r275440 * r275439;
        double r275442 = exp(r275441);
        return r275442;
}

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 2020083 
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  :precision binary64
  (exp (* (* x y) y)))