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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...

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Bibliographic Details
Main Author: Barenboim, Leonid
Other Authors: Elkin, Michael
Format: eBook
Language:English
Published: San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool, c2013.
Series:Synthesis digital library of engineering and computer science.
Synthesis lectures on distributed computing theory ; # 11.
Subjects:
Online Access:Abstract with links to full text
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100 1 |a Barenboim, Leonid. 
245 1 0 |a Distributed graph coloring  |h [electronic resource] :  |b fundamentals and recent developments /  |c Leonid Barenboim and Michael Elkin. 
260 |a San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) :  |b Morgan & Claypool,  |c c2013. 
300 |a 1 electronic text (xiii, 157 p.) :  |b ill., digital file. 
490 1 |a Synthesis lectures on distributed computing theory,  |x 2155-1634 ;  |v # 11 
500 |a Part of: Synthesis digital library of engineering and computer science. 
500 |a Series from website. 
504 |a Includes bibliographical references (p. 149-155). 
505 0 |a 1. Introduction --  
505 8 |a 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 --  
505 8 |a 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 --  
505 8 |a 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 --  
505 8 |a 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 --  
505 8 |a 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 --  
505 8 |a 5. Forest-decomposition algorithms and applications -- 5.1 H-partition -- 5.2 An O(a)-coloring -- 5.3 Faster coloring -- 5.4 MIS algorithms --  
505 8 |a 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 --  
505 8 |a 7. Arbdefective coloring -- 7.1 Small arboricity decomposition -- 7.2 Efficient coloring algorithms --  
505 8 |a 8. Edge-coloring and maximal matching -- 8.1 Edge-coloring and maximal matching using forest-decomposition -- 8.2 Edge-coloring using bounded neighborhood independence --  
505 8 |a 9. Network decompositions -- 9.1 Applications of network decompositions -- 9.2 Ruling sets and forests -- 9.3 Constructing network decompositions --  
505 8 |a Bibliography -- Authors' biographies. 
506 |a Abstract freely available; full-text restricted to subscribers or individual document purchasers. 
510 0 |a Compendex 
510 0 |a Google book search 
510 0 |a Google scholar 
510 0 |a INSPEC 
520 3 |a 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 discrete rounds. The goal is to devise algorithms that use as few rounds as possible. 
530 |a Also available in print. 
538 |a Mode of access: World Wide Web. 
538 |a System requirements: Adobe Acrobat Reader. 
588 |a Title from PDF t.p. (viewed on August 14, 2013). 
650 0 |a Broken symmetry (Physics) 
650 0 |a Electronic data processing  |x Distributed processing. 
650 0 |a Graph coloring  |x Mathematical models. 
653 |a arboricity 
653 |a coloring 
653 |a deterministic algorithms 
653 |a distributed symmetry breaking 
653 |a maximal independent set 
653 |a maximal matching 
653 |a randomized algorithms 
700 1 |a Elkin, Michael. 
776 0 8 |i Print version:  |z 9781627050180 
830 0 |a Synthesis digital library of engineering and computer science. 
830 0 |a Synthesis lectures on distributed computing theory ;  |v # 11.  |x 2155-1634 
856 4 8 |3 Abstract with links to full text  |u http://dx.doi.org/10.2200/S00520ED1V01Y201307DCT011 
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