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Linear Programming

Robert J. Vanderbei
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Robert J. Vanderbei: Princeton University

in International Series in Operations Research and Management Science from Springer, currently edited by Camille C. Price, Joe Zhu and Frederick S. Hillier

Date: 2008
Edition: 3
ISBN: 978-0-387-74388-2
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Chapters in this book:

Ch Chapter 1 Introduction
Robert J. Vanderbei
Ch Chapter 10 Convex Analysis
Robert J. Vanderbei
Ch Chapter 11 Game Theory
Robert J. Vanderbei
Ch Chapter 12 Regression
Robert J. Vanderbei
Ch Chapter 13 Financial Applications
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Ch Chapter 14 Network Flow Problems
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Ch Chapter 15 Applications
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Ch Chapter 16 Structural Optimization
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Ch Chapter 17 The Central Path
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Ch Chapter 18 A Path-Following Method
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Ch Chapter 19 The KKT System
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Ch Chapter 2 The Simplex Method
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Ch Chapter 20 Implementation Issues
Robert J. Vanderbei
Ch Chapter 21 The Affine-Scaling Method
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Ch Chapter 22 The Homogeneous Self-Dual Method
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Ch Chapter 23 Integer Programming
Robert J. Vanderbei
Ch Chapter 24 Quadratic Programming
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Ch Chapter 25 Convex Programming
Robert J. Vanderbei
Ch Chapter 3 Degeneracy
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Ch Chapter 4 Efficiency of the Simplex Method
Robert J. Vanderbei
Ch Chapter 5 Duality Theory
Robert J. Vanderbei
Ch Chapter 6 The Simplex Method in Matrix Notation
Robert J. Vanderbei
Ch Chapter 7 Sensitivity and Parametric Analyses
Robert J. Vanderbei
Ch Chapter 8 Implementation Issues
Robert J. Vanderbei
Ch Chapter 9 Problems in General Form
Robert J. Vanderbei

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DOI: 10.1007/978-0-387-74388-2

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