Sparsity: Graphs, Structures, and Algorithms

Author:   Jaroslav Nešetřil ,  Patrice Ossona de Mendez
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2012 ed.
Volume:   28
ISBN:  

9783642278747


Pages:   459
Publication Date:   25 April 2012
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Sparsity: Graphs, Structures, and Algorithms


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Overview

This is the first book devoted to the systematic study of sparse graphs and sparse finite structures. Although the notion of sparsity appears in various contexts and is a typical example of a hard to define notion, the authors devised an unifying classification of general classes of structures. This approach is very robust and it has many remarkable properties. For example the classification is expressible in many different ways involving most extremal combinatorial invariants. This study of sparse structures found applications in such diverse areas as algorithmic graph theory, complexity of algorithms, property testing, descriptive complexity and mathematical logic (homomorphism preservation,fixed parameter tractability and constraint satisfaction problems). It should be stressed that despite of its generality this approach leads to linear (and nearly linear) algorithms. Jaroslav Nešetřil is a professor at Charles University, Prague; Patrice Ossona de Mendez is a CNRS researcher et EHESS, Paris. This book is related to the material presented by the first author at ICM 2010.

Full Product Details

Author:   Jaroslav Nešetřil ,  Patrice Ossona de Mendez
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2012 ed.
Volume:   28
Dimensions:   Width: 15.50cm , Height: 3.00cm , Length: 23.50cm
Weight:   0.887kg
ISBN:  

9783642278747


ISBN 10:   3642278744
Pages:   459
Publication Date:   25 April 2012
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Part I Presentation: 1. Introduction.- 2. A Few Problems.- 3. Commented Contents.- Part II. The Theory: 4. Prolegomena.- 5. Measuring Sparsity.- 6. Classes and their Classification.- 7. Bounded Height Trees and Tree-Depth.- 8. Decomposition.- 9. Independence.- 10. First-Order Constraint Satisfaction Problems and Homomorphism Dualities.- 11. Restricted Homomorphism Dualities.- 12. Counting.- 13. Back to Classes.- Part III Applications: 14. Classes with Bounded Expansion – Examples.- 15. Property Testing, Hyperfiniteness and Separators.- 16. Algorithmic Applications.- 17. Other Applications.- 18. Conclusion.- Bibliography.- Index.- List of Symbols​.

Reviews

From the reviews: This well-crafted and well-written work ... brings the authors' vast knowledge, expertise, taste, and judgment to bear on an increasingly important and mainstream subject. ... This is a much-needed book devoted to the systematic study of sparse graphs and sparse classes of structures. ... This is an important and useful book. It contains a wealth of up-to-date material, some of which is not readily available in research papers. ... A researcher in graph theory or related fields will find this an excellent reference work. (Jozsef Balogh, Mathematical Reviews, March, 2013) The book is very well written and diagrammed to beautifully present the theory supporting the study of sparse and dense objects. ... the book contains up-to-date research topics laid out in an amazing chain of thoughts. Almost every chapter ends with exercises, aiding professors in advanced graduate courses. The extensive list of references, together with conjectures and open problems, offers professors, students, and researchers ... profound knowledge on the sparsity of graphs, all in one great book. (Andre Maximo, ACM Computing Reviews, October, 2012)


From the reviews: The book is very well written and diagrammed to beautifully present the theory supporting the study of sparse and dense objects. ... the book contains up-to-date research topics laid out in an amazing chain of thoughts. Almost every chapter ends with exercises, aiding professors in advanced graduate courses. The extensive list of references, together with conjectures and open problems, offers professors, students, and researchers ... profound knowledge on the sparsity of graphs, all in one great book. (Andre Maximo, ACM Computing Reviews, October, 2012)


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