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Aspects of Semidefinite Programming : Interior Point Algorithms and Selected Applications
Overview of attention for book
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
Overall attention for this book and its chapters
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Mentioned by
syllabi
1
institution with syllabi
wikipedia
4
Wikipedia pages
Citations
dimensions_citation
177
Dimensions
Readers on
mendeley
22
Mendeley
Book overview
1. Introduction
2. Duality, Optimality, and Degeneracy
3. The Central Path
4. Self-Dual Embeddings
5. The Primal Logarithmic Barrier Method
6. Primal-Dual Affine-Scaling Methods
7. Primal-Dual Path-Following Methods
8. Primal-Dual Potential Reduction Methods
9. Convex Quadratic Approximation
10. The Lovász ϑ-Function
11. Graph Coulouring and the Max- K -Cut Problem
12. The Stability Number of a Graph and Standard Quadratic Optimization
13. The Satisfiability Problem
Summary
Syllabi
Wikipedia
Dimensions citations
This data is correct as of December 2015 - for more up to date information, please visit
https://opensyllabus.org/
So far, Altmetric has seen this research output assigned in
1
syllabus from an institution on Open Syllabus Project.
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Syllabi count
Course subject areas covered
Unknown
1
Unknown