Applied graph theory : an introduction with graph optimization and algebraic graph theory (Record no. 33134)

000 -LEADER
fixed length control field nam a22 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240404b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789811273100
Terms of availability hbk.
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 511.5
Item number GRI
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Griffin, Christopher
245 ## - TITLE STATEMENT
Title Applied graph theory : an introduction with graph optimization and algebraic graph theory
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc World scientific,
Date of publication, distribution, etc 2023
Place of publication, distribution, etc New Jersey :
300 ## - PHYSICAL DESCRIPTION
Extent xxi, 282 p. ;
Other physical details ill.,
Dimensions 24 cm.
365 ## - TRADE PRICE
Price amount 98.00
Price type code $
Unit of pricing 86.30
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc This book serves as an introduction to graph theory and its applications. It is intended for a senior undergraduate course in graph theory but is also appropriate for beginning graduate students in science or engineering. The book presents a rigorous (proof-based) introduction to graph theory while also discussing applications of the results for solving real-world problems of interest. The book is divided into four parts. Part 1 covers the combinatorial aspects of graph theory including a discussion of common vocabulary, a discussion of vertex and edge cuts, Eulerian tours, Hamiltonian paths and a characterization of trees. This leads to Part 2, which discusses common combinatorial optimization problems. Spanning trees, shortest path problems and matroids are all discussed, as are maximum flow problems. Part 2 ends with a discussion of graph coloring and a proof of the NP-completeness of the coloring problem. Part 3 introduces the reader to algebraic graph theory, and focuses on Markov chains, centrality computation (e.g., eigenvector centrality and page rank), as well as spectral graph clustering and the graph Laplacian. Part 4 contains additional material on linear programming, which is used to provide an alternative analysis of the maximum flow problem. Two appendices containing prerequisite material on linear algebra and probability theory are also provided.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Graph theory
Topical term or geographic name as entry element Degree sequences
Topical term or geographic name as entry element Subgraphs
Topical term or geographic name as entry element Fields
Topical term or geographic name as entry element Vector space
Topical term or geographic name as entry element Matrices
Topical term or geographic name as entry element Linear programming
Topical term or geographic name as entry element Probability theory
Topical term or geographic name as entry element Max flow
Topical term or geographic name as entry element Min cut
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent location Current location Date acquired Cost, normal purchase price Full call number Barcode Date last seen Koha item type
          DAIICT DAIICT 2024-04-03 8457.40 511.5 GRI 034919 2024-04-04 Books

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