Constant-factor approximation refers to a type of algorithm that guarantees a solution to an optimization problem within a constant factor of the optimal solution, meaning that the approximate solution will not exceed a constant multiple of the optimal solution. This concept is closely related to the hardness of approximation results, as it highlights the limitations of finding exact solutions for certain problems, demonstrating that even getting close to the best solution can be computationally challenging.
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