Magic and Antimagic Graphs
Magic and Antimagic Graphs

Author: Martin Bača

Publisher: Springer Nature

Published: 2019-09-14

Total Pages: 330

ISBN-13: 3030245829

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Magic and antimagic labelings are among the oldest labeling schemes in graph theory. This book takes readers on a journey through these labelings, from early beginnings with magic squares up to the latest results and beyond. Starting from the very basics, the book offers a detailed account of all magic and antimagic type labelings of undirected graphs. Long-standing problems are surveyed and presented along with recent results in classical labelings. In addition, the book covers an assortment of variations on the labeling theme, all in one self-contained monograph. Assuming only basic familiarity with graphs, this book, complete with carefully written proofs of most results, is an ideal introduction to graph labeling for students learning the subject. More than 150 open problems and conjectures make it an invaluable guide for postgraduate and early career researchers, as well as an excellent reference for established graph theorists.

Pearls in Graph Theory
Pearls in Graph Theory

Author: Nora Hartsfield

Publisher: Courier Corporation

Published: 2013-04-15

Total Pages: 276

ISBN-13: 0486315525

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Stimulating and accessible, this undergraduate-level text covers basic graph theory, colorings of graphs, circuits and cycles, labeling graphs, drawings of graphs, measurements of closeness to planarity, graphs on surfaces, and applications and algorithms. 1994 edition.

Super Edge-Antimagic Graphs
Super Edge-Antimagic Graphs

Author: Martin Baca

Publisher: Universal-Publishers

Published: 2008

Total Pages: 228

ISBN-13: 1599424657

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Graph theory, and graph labeling in particular, are fast-growing research areas in mathematics. New results are constantly being discovered and published at a rapidly increasing rate due to the enormous number of open problems and conjectures in the field. This book deals mainly with the super edge-antimagic branch of graph labeling. It is written for specialists, but could be read also by postgraduate or undergraduate students with high school knowledge of mathematics and a vibrant interest in problem-solving.

Recent Advancements in Graph Theory
Recent Advancements in Graph Theory

Author: N. P. Shrimali

Publisher: CRC Press

Published: 2020-11-09

Total Pages: 411

ISBN-13: 1000210189

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Graph Theory is a branch of discrete mathematics. It has many applications to many different areas of Science and Engineering. This book provides the most up-to-date research findings and applications in Graph Theory. This book focuses on the latest research in Graph Theory. It provides recent findings that are occurring in the field, offers insights on an international and transnational levels, identifies the gaps in the results, and includes forthcoming international studies and research, along with its applications in Networking, Computer Science, Chemistry, and Biological Sciences, etc. The book is written with researchers and post graduate students in mind.

Magic Graphs
Magic Graphs

Author: Alison M. Marr

Publisher: Springer Science & Business Media

Published: 2012-11-06

Total Pages: 199

ISBN-13: 0817683917

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Magic squares are among the more popular mathematical recreations. Over the last 50 years, many generalizations of “magic” ideas have been applied to graphs. Recently there has been a resurgence of interest in “magic labelings” due to a number of results that have applications to the problem of decomposing graphs into trees. Key features of this second edition include: · a new chapter on magic labeling of directed graphs · applications of theorems from graph theory and interesting counting arguments · new research problems and exercises covering a range of difficulties · a fully updated bibliography and index This concise, self-contained exposition is unique in its focus on the theory of magic graphs/labelings. It may serve as a graduate or advanced undergraduate text for courses in mathematics or computer science, and as reference for the researcher.

Fuzzy Graph Theory
Fuzzy Graph Theory

Author: Sunil Mathew

Publisher: Springer

Published: 2017-12-30

Total Pages: 331

ISBN-13: 3319714074

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This book provides a timely overview of fuzzy graph theory, laying the foundation for future applications in a broad range of areas. It introduces readers to fundamental theories, such as Craine’s work on fuzzy interval graphs, fuzzy analogs of Marczewski’s theorem, and the Gilmore and Hoffman characterization. It also introduces them to the Fulkerson and Gross characterization and Menger’s theorem, the applications of which will be discussed in a forthcoming book by the same authors. This book also discusses in detail important concepts such as connectivity, distance and saturation in fuzzy graphs. Thanks to the good balance between the basics of fuzzy graph theory and new findings obtained by the authors, the book offers an excellent reference guide for advanced undergraduate and graduate students in mathematics, engineering and computer science, and an inspiring read for all researchers interested in new developments in fuzzy logic and applied mathematics.

Graceful, Harmonious and Magic Type Labelings
Graceful, Harmonious and Magic Type Labelings

Author: Susana C. López

Publisher: Springer

Published: 2017-02-26

Total Pages: 141

ISBN-13: 331952657X

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Aimed toward upper undergraduate and graduate students in mathematics, this book examines the foremost forms of graph labelings including magic, harmonious, and graceful labelings. An overview of basic graph theory concepts and notation is provided along with the origins of graph labeling. Common methods and techniques are presented introducing readers to links between graph labels. A variety of useful techniques are presented to analyze and understand properties of graph labelings. The classical results integrated with new techniques, complete proofs, numerous exercises, and a variety of open problems, will provide readers with a solid understanding of graph labelings.

A Textbook of Graph Theory
A Textbook of Graph Theory

Author: R. Balakrishnan

Publisher: Springer Science & Business Media

Published: 2012-09-20

Total Pages: 296

ISBN-13: 1461445280

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In its second edition, expanded with new chapters on domination in graphs and on the spectral properties of graphs, this book offers a solid background in the basics of graph theory. Introduces such topics as Dirac's theorem on k-connected graphs and more.

Handbook of Product Graphs
Handbook of Product Graphs

Author: Richard Hammack

Publisher: CRC Press

Published: 2011-06-06

Total Pages: 537

ISBN-13: 1439813051

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This handbook examines the dichotomy between the structure of products and their subgraphs. It also features the design of efficient algorithms that recognize products and their subgraphs and explores the relationship between graph parameters of the product and factors. Extensively revised and expanded, this second edition presents full proofs of many important results as well as up-to-date research and conjectures. It illustrates applications of graph products in several areas and contains well over 300 exercises. Supplementary material is available on the book's website.

Proceedings of First International Conference on Mathematical Modeling and Computational Science
Proceedings of First International Conference on Mathematical Modeling and Computational Science

Author: Sheng-Lung Peng

Publisher: Springer Nature

Published: 2021-05-04

Total Pages: 675

ISBN-13: 9813343893

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This book presents the most recent scientific and technological advances in the fields of engineering mathematics and computational science, to strengthen the links in the scientific community. It is a collection of high-quality, peer-reviewed research papers presented at the First International Conference on Mathematical Modeling and Computational Science (ICMMCS 2020), held in Pattaya, Thailand, during 14–15 August 2020. The topics covered in the book are mathematical logic and foundations, numerical analysis, neural networks, fuzzy set theory, coding theory, higher algebra, number theory, graph theory and combinatory, computation in complex networks, calculus, differential educations and integration, application of soft computing, knowledge engineering, machine learning, artificial intelligence, big data and data analytics, high-performance computing, network and device security, and Internet of things (IoT).