Algorithmic Graph Theory

Algorithmic Graph Theory
Author: Alan Gibbons
Publisher: Cambridge University Press
Total Pages: 280
Release: 1985-06-27
Genre: Computers
ISBN: 9780521288811

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An introduction to pure and applied graph theory with an emphasis on algorithms and their complexity.

Algorithmic Graph Theory and Perfect Graphs

Algorithmic Graph Theory and Perfect Graphs
Author: Martin Charles Golumbic
Publisher: Elsevier
Total Pages: 307
Release: 2014-05-10
Genre: Mathematics
ISBN: 1483271978

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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

Topics in Algorithmic Graph Theory
Author: Lowell W. Beineke
Publisher: Cambridge University Press
Total Pages: 400
Release: 2021-06-03
Genre: Mathematics
ISBN: 1108671071

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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.

Applied and Algorithmic Graph Theory

Applied and Algorithmic Graph Theory
Author: Gary Chartrand
Publisher: McGraw-Hill Companies
Total Pages: 424
Release: 1993
Genre: Mathematics
ISBN:

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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

Algorithmic Graph Theory
Author: James A. McHugh
Publisher:
Total Pages: 344
Release: 1990
Genre: Mathematics
ISBN:

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Graphs, Algorithms, and Optimization

Graphs, Algorithms, and Optimization
Author: William Kocay
Publisher: CRC Press
Total Pages: 504
Release: 2017-09-20
Genre: Mathematics
ISBN: 135198912X

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Graph theory offers a rich source of problems and techniques for programming and data structure development, as well as for understanding computing theory, including NP-Completeness and polynomial reduction. A comprehensive text, Graphs, Algorithms, and Optimization features clear exposition on modern algorithmic graph theory presented in a rigorous yet approachable way. The book covers major areas of graph theory including discrete optimization and its connection to graph algorithms. The authors explore surface topology from an intuitive point of view and include detailed discussions on linear programming that emphasize graph theory problems useful in mathematics and computer science. Many algorithms are provided along with the data structure needed to program the algorithms efficiently. The book also provides coverage on algorithm complexity and efficiency, NP-completeness, linear optimization, and linear programming and its relationship to graph algorithms. Written in an accessible and informal style, this work covers nearly all areas of graph theory. Graphs, Algorithms, and Optimization provides a modern discussion of graph theory applicable to mathematics, computer science, and crossover applications.

Algorithmic Aspects of Graph Connectivity

Algorithmic Aspects of Graph Connectivity
Author: Hiroshi Nagamochi
Publisher: Cambridge University Press
Total Pages: 391
Release: 2019-05-16
Genre: Computers
ISBN: 9781108735490

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Algorithmic Aspects of Graph Connectivity is the first comprehensive book on this central notion in graph and network theory, emphasizing its algorithmic aspects. Because of its wide applications in the fields of communication, transportation, and production, graph connectivity has made tremendous algorithmic progress under the influence of the theory of complexity and algorithms in modern computer science. The book contains various definitions of connectivity, including edge-connectivity and vertex-connectivity, and their ramifications, as well as related topics such as flows and cuts. The authors comprehensively discuss new concepts and algorithms that allow for quicker and more efficient computing, such as maximum adjacency ordering of vertices. Covering both basic definitions and advanced topics, this book can be used as a textbook in graduate courses in mathematical sciences, such as discrete mathematics, combinatorics, and operations research, and as a reference book for specialists in discrete mathematics and its applications.

Graph Theory with Applications

Graph Theory with Applications
Author: John Adrian Bondy
Publisher: London : Macmillan Press
Total Pages: 290
Release: 1976
Genre: Mathematics
ISBN:

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Handbook of Graph Theory, Combinatorial Optimization, and Algorithms

Handbook of Graph Theory, Combinatorial Optimization, and Algorithms
Author: Krishnaiyan "KT" Thulasiraman
Publisher: CRC Press
Total Pages: 1217
Release: 2016-01-05
Genre: Computers
ISBN: 1420011073

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The fusion between graph theory and combinatorial optimization has led to theoretically profound and practically useful algorithms, yet there is no book that currently covers both areas together. Handbook of Graph Theory, Combinatorial Optimization, and Algorithms is the first to present a unified, comprehensive treatment of both graph theory and c

Graph Theory with Algorithms and its Applications

Graph Theory with Algorithms and its Applications
Author: Santanu Saha Ray
Publisher: Springer Science & Business Media
Total Pages: 223
Release: 2012-11-02
Genre: Technology & Engineering
ISBN: 8132207505

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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.