Average Error: 0.0 → 0.0
Time: 2.8s
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 r119573 = x;
        double r119574 = y;
        double r119575 = r119573 * r119574;
        double r119576 = r119575 * r119574;
        double r119577 = exp(r119576);
        return r119577;
}
↓
double f(double x, double y) {
        double r119578 = x;
        double r119579 = y;
        double r119580 = r119578 * r119579;
        double r119581 = r119580 * r119579;
        double r119582 = exp(r119581);
        return r119582;
}

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 2019174 +o rules:numerics
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalF from random-fu-0.2.6.2"
  (exp (* (* x y) y)))