Inhaltsangabe
This text offers a comprehensive treatment of linear programming as well as of the optimization of linear functions over polyhedra in finite dimensional Euclidean vector spaces. An introduction surveying 50 years of linear optimization is given. The main topics treated include simplex algorithms and their derivatives, such as the duality theory of linear programming, polyhedral theory, projective algorithms, Newtonian barrier methods, and ellipsoid algorithms in perfect and in finite precision arithmetic. The book can serve both as a graduate textbook for linear programming and as a text for advanced topics classes or seminars. Exercises as well as several case studies are included.
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Críticas
"Reading this book is a real pleasure. Padberg not only teaches the theory and practice of linear optimization in a clearly structured way; he is also entertaining" - Optima
Reseña del editor
This text offers a comprehensive treatment of linear programming as well as of the optimization of linear functions over polyhedra in finite dimensional Euclidean vector spaces. An introduction surveying 50 years of linear optimization is given. The main topics treated include simplex algorithms and their derivatives, such as the duality theory of linear programming, polyhedral theory, projective algorithms, Newtonian barrier methods, and ellipsoid algorithms in perfect and in finite precision arithmetic. The book can serve both as a graduate textbook for linear programming and as a text for advanced topics classes or seminars. Exercises as well as several case studies are included.
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