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Distributed graph coloring fundamentals and recent developments /
The focus of this monograph is on symmetry breaking problems in the message-passing model of distributed computing. In this model a communication network is represented by a n -vertex graph G = (V,E), whose vertices host autonomous processors. The processors communicate over the edges of G in discre...
Main Author: | |
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Other Authors: | |
Format: | eBook |
Language: | English |
Published: |
San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) :
Morgan & Claypool,
c2013.
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Series: | Synthesis digital library of engineering and computer science.
Synthesis lectures on distributed computing theory ; # 11. |
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Online Access: | Abstract with links to full text |
Table of Contents:
- 1. Introduction
- 10. Introduction to distributed randomized algorithms
- 10.1 Simple algorithms
- 10.2 A faster O([delta])-coloring algorithm
- 10.3 Randomized MIS
- 10.3.1 A high-level description
- 10.3.2 Procedure decide
- 10.4 Randomized maximal matching
- 10.5 Graphs with bounded arboricity
- 11. Conclusion and open questions
- 11.1 Problems that can be solved in polylogarithmic time
- 11.2 Problems that can be solved in (sub)linear in [delta] time
- 11.3 Algorithms for restricted graph families
- 11.4 Randomized algorithms
- 2. Basics of graph theory
- 2.1 Graphs with large girth and large chromatic number
- 2.2 Planar graphs
- 2.3 Arboricity
- 2.3.1 Nash-Williams theorem
- 2.3.2 Degeneracy and arboricity
- 2.4 Defective coloring
- 2.5 Edge-coloring and matchings
- 3. Basic distributed graph coloring algorithms
- 3.1 The distributed message-passing LOCAL model
- 3.2 Basic color reduction
- 3.3 Orientations
- 3.4 The algorithm of Cole and Vishkin
- 3.5 Extensions to graphs with bounded maximum degree
- 3.6 An improved coloring algorithm for graphs with bounded maximum degree
- 3.7 A faster ([delta plus] 1)-coloring
- 3.8 Kuhn-Wattenhofer color reduction technique and its applications
- 3.9 A reduction from ([delta plus] 1)-coloring to MIS
- 3.10 Linial's algorithm
- 4. Lower bounds
- 4.1 Coloring unoriented trees
- 4.1.1 The first proof
- 4.1.2 The second proof
- 4.2 Coloring the n-path Pn
- 5. Forest-decomposition algorithms and applications
- 5.1 H-partition
- 5.2 An O(a)-coloring
- 5.3 Faster coloring
- 5.4 MIS algorithms
- 6. Defective coloring
- 6.1 Employing defective coloring for computing legal coloring
- 6.2 Defective coloring algorithms
- 6.2.1 Procedure refine
- 6.2.2 Procedure defective-color
- 7. Arbdefective coloring
- 7.1 Small arboricity decomposition
- 7.2 Efficient coloring algorithms
- 8. Edge-coloring and maximal matching
- 8.1 Edge-coloring and maximal matching using forest-decomposition
- 8.2 Edge-coloring using bounded neighborhood independence
- 9. Network decompositions
- 9.1 Applications of network decompositions
- 9.2 Ruling sets and forests
- 9.3 Constructing network decompositions
- Bibliography
- Authors' biographies.