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Algebraic Graph Algorithms

Algebraic Graph Algorithms
Author: K. Erciyes
Publisher: Springer Nature
Total Pages: 229
Release: 2021-11-17
Genre: Computers
ISBN: 3030878864

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This textbook discusses the design and implementation of basic algebraic graph algorithms, and algebraic graph algorithms for complex networks, employing matroids whenever possible. The text describes the design of a simple parallel matrix algorithm kernel that can be used for parallel processing of algebraic graph algorithms. Example code is presented in pseudocode, together with case studies in Python and MPI. The text assumes readers have a background in graph theory and/or graph algorithms.


Graph Algorithms in the Language of Linear Algebra

Graph Algorithms in the Language of Linear Algebra
Author: Jeremy Kepner
Publisher: SIAM
Total Pages: 388
Release: 2011-01-01
Genre: Mathematics
ISBN: 9780898719918

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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.


Algebraic Graph Theory

Algebraic Graph Theory
Author: Chris Godsil
Publisher: Springer Science & Business Media
Total Pages: 453
Release: 2013-12-01
Genre: Mathematics
ISBN: 1461301637

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This book presents and illustrates the main tools and ideas of algebraic graph theory, with a primary emphasis on current rather than classical topics. It is designed to offer self-contained treatment of the topic, with strong emphasis on concrete examples.


Fundamentals of Algebraic Graph Transformation

Fundamentals of Algebraic Graph Transformation
Author: Hartmut Ehrig
Publisher: Springer Science & Business Media
Total Pages: 383
Release: 2006-05-01
Genre: Computers
ISBN: 3540311882

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This is the first textbook treatment of the algebraic approach to graph transformation, based on algebraic structures and category theory. It contains an introduction to classical graphs. Basic and advanced results are first shown for an abstract form of replacement systems and are then instantiated to several forms of graph and Petri net transformation systems. The book develops typed attributed graph transformation and contains a practical case study.


Guide to Graph Algorithms

Guide to Graph Algorithms
Author: K Erciyes
Publisher: Springer
Total Pages: 475
Release: 2018-04-13
Genre: Computers
ISBN: 3319732358

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This clearly structured textbook/reference presents a detailed and comprehensive review of the fundamental principles of sequential graph algorithms, approaches for NP-hard graph problems, and approximation algorithms and heuristics for such problems. The work also provides a comparative analysis of sequential, parallel and distributed graph algorithms – including algorithms for big data – and an investigation into the conversion principles between the three algorithmic methods. Topics and features: presents a comprehensive analysis of sequential graph algorithms; offers a unifying view by examining the same graph problem from each of the three paradigms of sequential, parallel and distributed algorithms; describes methods for the conversion between sequential, parallel and distributed graph algorithms; surveys methods for the analysis of large graphs and complex network applications; includes full implementation details for the problems presented throughout the text; provides additional supporting material at an accompanying website. This practical guide to the design and analysis of graph algorithms is ideal for advanced and graduate students of computer science, electrical and electronic engineering, and bioinformatics. The material covered will also be of value to any researcher familiar with the basics of discrete mathematics, graph theory and algorithms.


Discrete Mathematics

Discrete Mathematics
Author: Sriraman Sridharan
Publisher: CRC Press
Total Pages: 320
Release: 2019-07-30
Genre: Mathematics
ISBN: 0429942621

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Conveying ideas in a user-friendly style, this book has been designed for a course in Applied Algebra. The book covers graph algorithms, basic algebraic structures, coding theory and cryptography. It will be most suited for senior undergraduates and beginning graduate students in mathematics and computer science as also to individuals who want to have a knowledge of the below-mentioned topics. Provides a complete discussion on several graph algorithms such as Prims algorithm and Kruskals algorithm for sending a minimum cost spanning tree in a weighted graph, Dijkstras single source shortest path algorithm, Floyds algorithm, Warshalls algorithm, Kuhn-Munkres Algorithm. In addition to DFS and BFS search, several applications of DFS and BFS are also discussed. Presents a good introduction to the basic algebraic structures, namely, matrices, groups, rings, fields including finite fields as also a discussion on vector spaces and linear equations and their solutions. Provides an introduction to linear codes including cyclic codes. Presents a description of private key cryptosystems as also a discussion on public key cryptosystems such as RSA, ElGamal and Miller-Rabin. Finally, the Agrawal-KayalSaxena algorithm (AKS Algorithm) for testing if a given positive integer is prime or not in polynomial time is presented- the first time in a textbook. Two distinguished features of the book are: Illustrative examples have been presented throughout the book to make the readers appreciate the concepts described. Answers to all even-numbered exercises in all the chapters are given.


Mathematical Foundations of Computer Science 2008

Mathematical Foundations of Computer Science 2008
Author: Edward Ochmanski
Publisher: Springer Science & Business Media
Total Pages: 638
Release: 2008-08-12
Genre: Computers
ISBN: 3540852379

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This book constitutes the refereed proceedings of the 33rd International Symposium on Mathematical Foundations of Computer Science, MFCS 2008, held in Torun, Poland, in August 2008. The 45 revised full papers presented together with 5 invited lectures were carefully reviewed and selected from 119 submissions. All current aspects in theoretical computer science and its mathematical foundations are addressed, ranging from algorithmic game theory, algorithms and data structures, artificial intelligence, automata and formal languages, bioinformatics, complexity, concurrency and petrinets, cryptography and security, logic and formal specifications, models of computations, parallel and distributed computing, semantics and verification.


A Guide to Graph Algorithms

A Guide to Graph Algorithms
Author: Ton Kloks
Publisher: Springer Nature
Total Pages: 340
Release: 2022-02-22
Genre: Computers
ISBN: 9811663505

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This book A Guide to Graph Algorithms offers high-quality content in the research area of graph algorithms and explores the latest developments in graph algorithmics. The reader will gain a comprehensive understanding of how to use algorithms to explore graphs. It is a collection of texts that have proved to be trend setters and good examples of that. The book aims at providing the reader with a deep understanding of the structural properties of graphs that are useful for the design of efficient algorithms. These algorithms have applications in finite state machine modelling, social network theory, biology, and mathematics. The book contains many exercises, some up at present-day research-level. The exercises encourage the reader to discover new techniques by putting things in a clear perspective. A study of this book will provide the reader with many powerful tools to model and tackle problems in real-world scenarios.


Topics in Algebraic Graph Theory

Topics in Algebraic Graph Theory
Author: Lowell W. Beineke
Publisher: Cambridge University Press
Total Pages: 302
Release: 2004-10-04
Genre: Mathematics
ISBN: 9780521801973

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There is no other book with such a wide scope of both areas of algebraic graph theory.


Fast Parallel Algorithms for Graph Matching Problems

Fast Parallel Algorithms for Graph Matching Problems
Author: Marek Karpiński
Publisher: Oxford University Press
Total Pages: 228
Release: 1998
Genre: Computers
ISBN: 9780198501626

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The matching problem is central to graph theory and the theory of algorithms. This book provides a comprehensive and straightforward introduction to the basic methods for designing efficient parallel algorithms for graph matching problems. Written for students at the beginning graduate level, the exposition is largely self-contained and example-driven; prerequisites have been kept to a minimum by including relevant background material. The book contains full details of several new techniques and will be of interest to researchers in computer science, operations research, discrete mathematics, and electrical engineering. The main theoretical tools are presented in three independent chapters, devoted to combinatorial tools, probabilistic tools, and algebraic tools. One of the goals of the book is to show how these three approaches can be combined to develop efficient parallel algorithms. The book represents a meeting point of interesting algorithmic techniques and opens up new algebraic and geometric areas.