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Approximation Algorithms and Semidefinite Programming

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Cover of 'Approximation Algorithms and Semidefinite Programming'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction: M ax C ut Via Semidefinite Programming
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    Chapter 2 Semidefinite Programming
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    Chapter 3 Shannon Capacity and Lovász Theta
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    Chapter 4 Duality and Cone Programming
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    Chapter 5 Approximately Solving Semidefinite Programs
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    Chapter 6 An Interior-Point Algorithm for Semidefinite Programming
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    Chapter 7 Copositive Programming
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    Chapter 8 Lower Bounds for the Goemans–Williamson M ax C ut Algorithm
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    Chapter 9 Coloring 3-Chromatic Graphs
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    Chapter 10 Maximizing a Quadratic Form on a Graph
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    Chapter 11 Colorings with Low Discrepancy
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    Chapter 12 Constraint Satisfaction Problems, and Relaxing Them Semidefinitely
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    Chapter 13 Rounding Via Miniatures
Attention for Chapter 10: Maximizing a Quadratic Form on a Graph
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