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This document discusses linear programming (LP) duality and its application to approximation algorithms. It begins with an overview of LP duality theory, including weak duality, complementary slackness conditions, and the relationship between primal and dual problems. It then discusses how LP duality can be used to obtain approximation guarantees for integer programs. In particular, it describes the primal-dual schema, where a feasible integral primal solution and dual solution are constructed such that the

Author

sheetal taneja

Language

EN