Applied and Algorithmic Graph Theory

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Author :
Publisher : McGraw-Hill Companies
ISBN 13 :
Total Pages : 424 pages
Book Rating : 4.85/5 ( download)

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Book Synopsis Applied and Algorithmic Graph Theory by : Gary Chartrand

Download or read book Applied and Algorithmic Graph Theory written by Gary Chartrand and published by McGraw-Hill Companies. This book was released on 1993 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designed as a bridge to cross the gap between mathematics and computer science, and planned as the mathematics base for computer science students, this maths text is designed to help the student develop an understanding of the concept of an efficient algorithm.

Algorithmic Graph Theory

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Author :
Publisher : Cambridge University Press
ISBN 13 : 9780521288811
Total Pages : 280 pages
Book Rating : 4.19/5 ( download)

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Book Synopsis Algorithmic Graph Theory by : Alan Gibbons

Download or read book Algorithmic Graph Theory written by Alan Gibbons and published by Cambridge University Press. This book was released on 1985-06-27 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to pure and applied graph theory with an emphasis on algorithms and their complexity.

Algorithmic Graph Theory and Perfect Graphs

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Author :
Publisher : Elsevier
ISBN 13 : 1483271978
Total Pages : 307 pages
Book Rating : 4.72/5 ( download)

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Book Synopsis Algorithmic Graph Theory and Perfect Graphs by : Martin Charles Golumbic

Download or read book Algorithmic Graph Theory and Perfect Graphs written by Martin Charles Golumbic and published by Elsevier. This book was released on 2014-05-10 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithmic Graph Theory and Perfect Graphs provides an introduction to graph theory through practical problems. This book presents the mathematical and algorithmic properties of special classes of perfect graphs. Organized into 12 chapters, this book begins with an overview of the graph theoretic notions and the algorithmic design. This text then examines the complexity analysis of computer algorithm and explains the differences between computability and computational complexity. Other chapters consider the parameters and properties of a perfect graph and explore the class of perfect graphs known as comparability graph or transitively orientable graphs. This book discusses as well the two characterizations of triangulated graphs, one algorithmic and the other graph theoretic. The final chapter deals with the method of performing Gaussian elimination on a sparse matrix wherein an arbitrary choice of pivots may result in the filling of some zero positions with nonzeros. This book is a valuable resource for mathematicians and computer scientists.

Topics in Algorithmic Graph Theory

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Publisher : Cambridge University Press
ISBN 13 : 1108671071
Total Pages : 400 pages
Book Rating : 4.71/5 ( download)

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Book Synopsis Topics in Algorithmic Graph Theory by : Lowell W. Beineke

Download or read book Topics in Algorithmic Graph Theory written by Lowell W. Beineke and published by Cambridge University Press. This book was released on 2021-06-03 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithmic graph theory has been expanding at an extremely rapid rate since the middle of the twentieth century, in parallel with the growth of computer science and the accompanying utilization of computers, where efficient algorithms have been a prime goal. This book presents material on developments on graph algorithms and related concepts that will be of value to both mathematicians and computer scientists, at a level suitable for graduate students, researchers and instructors. The fifteen expository chapters, written by acknowledged international experts on their subjects, focus on the application of algorithms to solve particular problems. All chapters were carefully edited to enhance readability and standardize the chapter structure as well as the terminology and notation. The editors provide basic background material in graph theory, and a chapter written by the book's Academic Consultant, Martin Charles Golumbic (University of Haifa, Israel), provides background material on algorithms as connected with graph theory.

Algorithmic graph theory and perfect graphs

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Publisher :
ISBN 13 :
Total Pages : 284 pages
Book Rating : 4.95/5 ( download)

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Book Synopsis Algorithmic graph theory and perfect graphs by : Martin C. Golumbic

Download or read book Algorithmic graph theory and perfect graphs written by Martin C. Golumbic and published by . This book was released on 1988 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Graph Theory, Combinatorics and Algorithms

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Publisher : Springer Science & Business Media
ISBN 13 : 0387250360
Total Pages : 296 pages
Book Rating : 4.66/5 ( download)

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Book Synopsis Graph Theory, Combinatorics and Algorithms by : Martin Charles Golumbic

Download or read book Graph Theory, Combinatorics and Algorithms written by Martin Charles Golumbic and published by Springer Science & Business Media. This book was released on 2006-03-30 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Graph Theory, Combinatorics and Algorithms: Interdisciplinary Applications focuses on discrete mathematics and combinatorial algorithms interacting with real world problems in computer science, operations research, applied mathematics and engineering. The book contains eleven chapters written by experts in their respective fields, and covers a wide spectrum of high-interest problems across these discipline domains. Among the contributing authors are Richard Karp of UC Berkeley and Robert Tarjan of Princeton; both are at the pinnacle of research scholarship in Graph Theory and Combinatorics. The chapters from the contributing authors focus on "real world" applications, all of which will be of considerable interest across the areas of Operations Research, Computer Science, Applied Mathematics, and Engineering. These problems include Internet congestion control, high-speed communication networks, multi-object auctions, resource allocation, software testing, data structures, etc. In sum, this is a book focused on major, contemporary problems, written by the top research scholars in the field, using cutting-edge mathematical and computational techniques.

Graph Theory with Algorithms and its Applications

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Publisher : Springer Science & Business Media
ISBN 13 : 8132207505
Total Pages : 223 pages
Book Rating : 4.04/5 ( download)

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Book Synopsis Graph Theory with Algorithms and its Applications by : Santanu Saha Ray

Download or read book Graph Theory with Algorithms and its Applications written by Santanu Saha Ray and published by Springer Science & Business Media. This book was released on 2012-11-02 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book has many important features which make it suitable for both undergraduate and postgraduate students in various branches of engineering and general and applied sciences. The important topics interrelating Mathematics & Computer Science are also covered briefly. The book is useful to readers with a wide range of backgrounds including Mathematics, Computer Science/Computer Applications and Operational Research. While dealing with theorems and algorithms, emphasis is laid on constructions which consist of formal proofs, examples with applications. Uptill, there is scarcity of books in the open literature which cover all the things including most importantly various algorithms and applications with examples.

Graphs, Networks and Algorithms

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Publisher : Springer Science & Business Media
ISBN 13 : 3662038226
Total Pages : 597 pages
Book Rating : 4.22/5 ( download)

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Book Synopsis Graphs, Networks and Algorithms by : Dieter Jungnickel

Download or read book Graphs, Networks and Algorithms written by Dieter Jungnickel and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 597 pages. Available in PDF, EPUB and Kindle. Book excerpt: Revised throughout Includes new chapters on the network simplex algorithm and a section on the five color theorem Recent developments are discussed

Graph Theory

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Publisher : Pearson
ISBN 13 :
Total Pages : 472 pages
Book Rating : 4.97/5 ( download)

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Book Synopsis Graph Theory by : Geir Agnarsson

Download or read book Graph Theory written by Geir Agnarsson and published by Pearson. This book was released on 2007 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: For junior- to senior-level courses in Graph Theory taken by majors in Mathematics, Computer Science, or Engineering or for beginning-level graduate courses. Once considered an "unimportant" branch of topology, graph theory has come into its own through many important contributions to a wide range of fields -- and is now one of the fastest-growing areas in discrete mathematics and computer science. This new text introduces basic concepts, definitions, theorems, and examples from graph theory. The authors present a collection of interesting results from mathematics that involve key concepts and proof techniques; cover design and analysis of computer algorithms for solving problems in graph theory; and discuss applications of graph theory to the sciences. It is mathematically rigorous, but also practical, intuitive, and algorithmic.

Graph Algorithms in the Language of Linear Algebra

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Author :
Publisher : SIAM
ISBN 13 : 9780898719918
Total Pages : 388 pages
Book Rating : 4.17/5 ( download)

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Book Synopsis Graph Algorithms in the Language of Linear Algebra by : Jeremy Kepner

Download or read book Graph Algorithms in the Language of Linear Algebra written by Jeremy Kepner and published by SIAM. This book was released on 2011-01-01 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: The current exponential growth in graph data has forced a shift to parallel computing for executing graph algorithms. Implementing parallel graph algorithms and achieving good parallel performance have proven difficult. This book addresses these challenges by exploiting the well-known duality between a canonical representation of graphs as abstract collections of vertices and edges and a sparse adjacency matrix representation. This linear algebraic approach is widely accessible to scientists and engineers who may not be formally trained in computer science. The authors show how to leverage existing parallel matrix computation techniques and the large amount of software infrastructure that exists for these computations to implement efficient and scalable parallel graph algorithms. The benefits of this approach are reduced algorithmic complexity, ease of implementation, and improved performance.