Graph Theory
Julien Guillod · 2024
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About 10,000 papers for “Graph theory”
Julien Guillod · 2024
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WSPC/HEP eBooks · 2024
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A.P. Kirman · The New Palgrave Dictionary of Economics · 2011
Graph theory is a part of that field of mathematics referred to as combinatorics. Although the basic concepts have a simple intuitive interpretation and correspond to many features of social and economic organization this tool has been very little exploited in economics. The reasons for this are the same as those which explain economists’ lack of interest in combinatorics in general (see COMBINATORICS).
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Luo, Rong · The Research Repository @ WVU (West Virginia University) · 2022
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(:unkn) unknown · Open MIND · 2013
This was a workshop on graph theory, with a comprehensive approach. Highlights included the emerging theories of sparse graph limits and of infinite matroids, new techniques for colouring graphs on surfaces, and extensions of graph minor theory to directed graphs and to immersions
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Choice Reviews Online · 2008
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Dr. A. Sasireka, Dr. M. Sindhu, Dr. K. Venkata Ramana, Mr. M.S.S. Mohan Kumar · Zenodo (CERN European Organization for Nuclear Research) · 2026
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(:unkn) unknown · TIB Repositorium · 2022
Graph theory is a quickly developing area of mathematics, with an increasing number of connections to various parts of mathematics and computer science. The workshop aimed at bringing together a broad range of researchers at various career stages to discuss recent exciting developments, in particular, the Product Structure Theorem and progress towards the resolution of Hadwiger's Conjecture. While the workshop was impacted by the COVID pandemic, it still offered many interesting talks, which updated its participants on recent developments covering the whole breadth of graph theory, and collaboration opportunities.
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G Marelli · UNAM Scholarly Repository (University of Namibia) · 2023
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Wilkens, B · UNAM Scholarly Repository (University of Namibia) · 2016
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Marelli, G · UNAM Scholarly Repository (University of Namibia) · 2024
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Gould, Ronald · CERN Bulletin · 2012
This introduction to graph theory focuses on well-established topics, covering primary techniques and including both algorithmic and theoretical problems. The algorithms are presented with a minimum of advanced data structures and programming details. This thoroughly corrected 1988 edition provides insights to computer scientists as well as advanced undergraduates and graduate students of topology, algebra, and matrix theory. Fundamental concepts and notation and elementary properties and operations are the first subjects, followed by examinations of paths and searching, trees, and networks. S
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Gerard O’Regan · Texts in computer science · 2023
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V. Ravichandran, Atul Kumar Razdan · University texts in the mathematical sciences. · 2025
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Aiman Gannous · 2025
The author’s passion for teaching core computer science courses, particularly discrete math and algorithms, inspired this book. Graphs are crucial in solving real-world problems, and this book aims to present graph theory gradually and accessibly. It provides a comprehensive overview of foundational and advanced concepts, starting with an introduction to graph theory, types of graphs, and their significance. The book covers key terms, properties, Eulerian and Hamiltonian graphs, isomorphism, subgraphs, and special graphs such as complete and bipartite graphs. The representation of graphs is discussed highlighting their practical applications and differences. A dedicated chapter showcases the use of graphs such as search engines, networks, and bioinformatics. Various graph algorithms are detailed, including Eulerian tours, shortest paths, minimum spanning trees, maximum flow, and matching. An appendix on algorithm complexity provides insights into analyzing algorithms, time complexity. This book is ideal for undergraduate and graduate students in mathematics, computer science, engineering, and those interested in mathematical structures. It is also valuable for software engineers and developers interested in modeling systems.
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Mary Attenborough · Elsevier eBooks · 2003
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Thomas Stern, Georgios Ellinas, Krishna Bala · 2008
Graph and hypergraph terminology has evolved over the years. The following definitions are adapted from [Berge89, Bermond+97, Chartrand+96]. Some of the material in this appendix is found in other parts of the book. It is repeated here for convenience.
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Gerard O’Regan · Texts in computer science · 2021
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Frank Harary
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(:unkn) unknown · Open MIND · 2003
[no abstract available]
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