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Finding an exact solution for NP-hard optimization problems requires exponential time, such as $O(2^n)$ or $O(n!)$, which is computationally infeasible for large inputs.

Conditions: Problem is an NP-hard optimization problem; Seeking an exact solution

Finding an exact solution for NP-hard optimization problems requires exponential time, such as $O(2^n)$ or $O(n!)$, which is computationally infeasible for large inputs.

Conditions: Problem is an NP-hard optimization problem; Seeking an exact solution

The algorithm selects a set of disjoint edges M. The optimal cover must include at least one vertex per edge in M, so optimal cost >= |M|.

Conditions: The algorithm selects arbitrary edges and adds both endpoints until no edges remain

The algorithm selects a set of disjoint edges M. The optimal cover must include at least one vertex per edge in M, so optimal cost >= |M|.

Conditions: The algorithm selects arbitrary edges and adds both endpoints until no edges remain