Average Error: 0.0 → 0.0
Time: 5.8s
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 r10578404 = x;
        double r10578405 = y;
        double r10578406 = r10578404 * r10578405;
        double r10578407 = r10578406 * r10578405;
        double r10578408 = exp(r10578407);
        return r10578408;
}
↓
double f(double x, double y) {
        double r10578409 = x;
        double r10578410 = y;
        double r10578411 = r10578409 * r10578410;
        double r10578412 = r10578411 * r10578410;
        double r10578413 = exp(r10578412);
        return r10578413;
}

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 2019168 +o rules:numerics
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  (exp (* (* x y) y)))