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Algorithmic Graph Theory and Perfect Graphs

Algorithmic Graph Theory and Perfect Graphs, first published in 1980, has become the classic introduction to the field. This new Annals;

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Graph Theory, Computational Intelligence and Thought

Martin Charles Golumbic has been making seminal contributions to algorithmic graph theory and artificial intelligence throughout his career;

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Graphs, Algorithms, and Optimization

The second edition of this popular book presents the theory of graphs from an algorithmic viewpoint. The authors present the graph theory;

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Graphs, Algorithms, and Optimization

The second edition of this popular book presents the theory of graphs from an algorithmic viewpoint. The authors present the graph theory;

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Chromatic Graph Theory

and graph colorings as well as emerging topics. This self-contained book first presents various fundamentals of graph theory that lie;

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Perfect Graphs

The theory of perfect graphs was born out of a conjecture about graph colouring made by Claude Berge in 1960. That conjecture remains;

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Tolerance Graphs

The study of algorithmic graph theory and structured families of graphs is an important branch of discrete mathematics. It finds numerous;

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Optimization Problems in Graph Theory

This book presents open optimization problems in graph theory and networks. Each chapter reflects developments in theory and applications;

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Beyond Planar Graphs

This book is the first general and extensive review on the algorithmics and mathematical results of beyond planar graphs. Most real-world;

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Quantitative Graph Theory

The first book devoted exclusively to quantitative graph theory, Quantitative Graph Theory: Mathematical Foundations and Applications;

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Quantitative Graph Theory

The first book devoted exclusively to quantitative graph theory, Quantitative Graph Theory: Mathematical Foundations and Applications;

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Descriptive Complexity, Canonisation, and Definable Graph St

'definable structure theory' concerned with the logical definability of graph theoretic concepts such as tree decompositions and embeddings. The;

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Handbook of Graph Theory, Combinatorial Optimization, and Algorithms

44 chapters focus on graph theory, combinatorial optimization, and algorithmic issues. The book provides readers with the algorithmic and;

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Applications of Graph Theory

Applications of Graph Theory gives an introduction on the subject of graph theory and the applications related to it. It explains the;

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Graph Theory

theory in architectural analysis; Miesian intersections and comparing and evaluating graph theory approaches to architectural spatial analysis;

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Line Graphs and Line Digraphs

In the present era dominated by computers, graph theory has come into its own as an area of mathematics, prominent for both its theory and;

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Hybrid Graph Theory and Network Analysis

First published in 1999, this book combines traditional graph theory with the matroidal view of graphs and throws light on mathematical;

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A Hyper graph Regularity Method for Linear Hypergraphs

, Combinatorial Number Theory and Theoretical Computer Science. Strong hypergraph extensions of graph regularity techniques were recently given by Nagle;

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Graph Theory: Research Directions

This book contains ten articles, mainly survey type, on some current research areas in graph theory, namely, graceful labeling, L(2,1;

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Modern Trends in Fuzzy Graph Theory

This book provides an extensive set of tools for applying fuzzy mathematics and graph theory to real-life problems. Balancing the basics;

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Graphs

This adaptation of an earlier work by the authors is a graduate text and professional reference on the fundamentals of graph theory. It;

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Algorithms and Models for the Web Graph

algorithms and applications that exploit these graphs; graph-theoretic and algorithmic aspects of related complex networks; social networks, citation;

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Graphs and Matrices

, the book's primary focus is graph theory, with an emphasis on topics relating to linear algebra and matrix theory. Information is presented at;

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Graph Drawing

Geometry, and Graph Drawing. This book describes fundamental algorithmic techniques for constructing drawings of graphs. Suitable as either a;

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Cambridge Tracts in Theoretical Computer Science

First published in 1999, this book combines traditional graph theory with the matroidal view of graphs and throws light on mathematical;

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Graph Drawing and Network Visualization

; visibility representations; beyond planarity; crossing minimization and crossing numbers; topological graph theory; special graph embeddings; dynamic;

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Zeta Functions Of Graphs

hypothesis (which may be false) and prime number theorem for graphs. Explicit constructions of graph coverings use Galois theory to generalize Cayley;

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