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Aspects of Semidefinite Programming : Interior Point Algorithms and Selected Applications

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Cover of 'Aspects of Semidefinite Programming : Interior Point Algorithms and Selected Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Duality, Optimality, and Degeneracy
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    Chapter 3 The Central Path
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    Chapter 4 Self-Dual Embeddings
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    Chapter 5 The Primal Logarithmic Barrier Method
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    Chapter 6 Primal-Dual Affine-Scaling Methods
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    Chapter 7 Primal-Dual Path-Following Methods
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    Chapter 8 Primal-Dual Potential Reduction Methods
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    Chapter 9 Convex Quadratic Approximation
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    Chapter 10 The Lovász ϑ-Function
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    Chapter 11 Graph Coulouring and the Max- K -Cut Problem
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    Chapter 12 The Stability Number of a Graph and Standard Quadratic Optimization
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    Chapter 13 The Satisfiability Problem
Attention for Chapter 9: Convex Quadratic Approximation
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