Web Reference: This chapter, which focuses on discrete (rather than continuous) NP-hard optimization prob-lems, is organized according to these categories; for each category, we describe a representative problem, an algorithm for the problem, and the analysis of the algorithm. The book describes the state-of-the-art algorithms in each specialized area and reviews the most effective technical tools used. The thirteen chapters of the book are written by leading researchers that have contributed to the state of the art of approximation algorithms. Jun 1, 1997 · Approximation algorithms have developed in response to the impossibility of solving a great variety of important optimization problems. Too frequently, when attempting to get a solution for a problem, one is confronted with the fact that the problem is NP-hard.
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