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This book is a graduate-level text on the mathematical theory of linear programming (LP) and its extensions, including the geometry of linear inequality systems, duality theory, interior methods, degeneracy, variants of the simplex method, network flow theory, generalized upper bounds, decomposition of large-scale systems, and stochastic programming.
For an elementary introduction to LP, applications, and software, see Linear Programming 1: Introduction by George B. Dantzig and Mukund N. Thapa.
ISBN: 9788184893854
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Pages : 474
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