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Linear Programming : 2: Theory and Extensions

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Cover of 'Linear Programming : 2: Theory and Extensions'

Table of Contents

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    Book Overview
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    Chapter 1 Geometry of Linear Inequality Systems & the Simplex Method
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    Chapter 2 Duality and Theorems of the Alternatives
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    Chapter 3 Early Interior-Point Methods
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    Chapter 4 Interior-Point Methods
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    Chapter 5 Degeneracy
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    Chapter 6 Variants of the Simplex Method
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    Chapter 7 Transportation Problem and Variations
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    Chapter 8 Network Flow Thegrams
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    Chapter 9 Generalized Upper Bounds
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    Chapter 10 Decomposition of Large-Scale Systems
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    Chapter 11 Stochastic Programming: Introduction
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    Chapter 12 Two-Stage Stochastic Programs
Attention for Chapter 9: Generalized Upper Bounds
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