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Primal-Dual Algorithm in Optimization by daniel leibovich is a document available to read on EtoBox.

What is Primal-Dual Algorithm in Optimization about?

The document introduces the complementary slackness conditions and describes how they can be used to obtain a primal-dual method for solving linear programming problems. It then outlines the steps of the primal-dual algorithm, which starts with feasible primal and dual solutions and iteratively improves them to satisfy the complementary slackness conditions. An example applying the algorithm to the max-flow problem is also provided.

Author

daniel leibovich

Language

EN