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Sparsity: Graphs, Structures, and Algorithms: Algorithms and Combinatorics, cartea 28

Autor Jaroslav Nešetřil, Patrice Ossona de Mendez
en Limba Engleză Paperback – 9 mai 2014
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.
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Specificații

ISBN-13: 9783642427763
ISBN-10: 3642427766
Pagini: 484
Ilustrații: XXIII, 459 p. 132 illus., 100 illus. in color.
Dimensiuni: 155 x 235 x 25 mm
Greutate: 0.67 kg
Ediția:2012
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Algorithms and Combinatorics

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Graduate

Cuprins

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​.

Recenzii

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.” (József Balogh, Mathematical Reviews, March, 2013)
“This is an excellent and useful book for all researchers in mathematics, computer science, logic, and even in any field in physical science, who seek the tools available for analysis of the properties of discrete structures, and particularly, sparse structures.” (Tadashi Sakuma, zbMATH, Vol. 1268, 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, Computing Reviews, October, 2012)

Textul de pe ultima copertă

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.

Caracteristici

One of the first textbooks on the topic of sparsity - a core area of current discrete mathematics Extremely useful to both mathematicians and computer scientists Pedagogically excellent