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Titlebook: Linear Programming; Foundations and Exte Robert J. Vanderbei Book Apr 20142nd edition Robert J. Vanderbei 2001 Simplex method.algorithms.co

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Robert J. Vanderbeistudied the same objects in many different guises. My first goal thus has been to take three different viewpoints and demonstrate how they offer complementary intuitive insight into the subject. In Part I we begin with a functorial idea, discussing some familiar processes for constructing groups. Th
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Robert J. Vanderbeistudied the same objects in many different guises. My first goal thus has been to take three different viewpoints and demonstrate how they offer complementary intuitive insight into the subject. In Part I we begin with a functorial idea, discussing some familiar processes for constructing groups. Th
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Robert J. Vanderbeistudied the same objects in many different guises. My first goal thus has been to take three different viewpoints and demonstrate how they offer complementary intuitive insight into the subject. In Part I we begin with a functorial idea, discussing some familiar processes for constructing groups. Th
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Duality Theoryferred to as the primal linear program). Hence, linear programs come in primal/dual pairs. It turns out that every feasible solution for one of these two linear programs gives a bound on the optimal objective function value for the other. These ideas are important and form a subject called duality t
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Sensitivity and Parametric Analysesn: having found an optimal solution to a given linear programming problem, how much can we change the data and have the current partition into basic and nonbasic variables remain optimal? The second subject addresses situations in which one wishes to solve not just one linear program, but a whole fa
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Game Theoryry, and we shall focus on the simplest type of game, called the ., or just . for short. Our primary goal shall be to prove the famous Minimax Theorem, which was first discovered and proved by John von Neumann in 1928. His original proof of this theorem was rather involved and depended on another bea
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Network Flow Problemsnds for material at various locations given sources of material at other locations. Such problems are called .. They form the most important special class of linear programming problems. Transportation, electric, and communication networks provide obvious examples of application areas. Less obvious,
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