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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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Boundaries and Hulls of Euclidean Graphs

Boundaries and Hulls of Euclidean Graphs: From Theory to Practice presents concepts and algorithms for finding convex, concave and polygon;

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Boundaries and Hulls of Euclidean Graphs

Boundaries and Hulls of Euclidean Graphs: From Theory to Practice presents concepts and algorithms for finding convex, concave and polygon;

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Unimodularity in Randomly Generated Graphs

notion currently finds strong development and application: percolation theory, point processes, ergodic theory, and dynamical systems.;

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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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Random Graphs

equations in finite fields. The author shows how the application of the generalized scheme of allocation in the study of random graphs and;

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Random Graphs

equations in finite fields. The author shows how the application of the generalized scheme of allocation in the study of random graphs and;

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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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Beyond Planar Graphs

data sets are relational and can be modelled as graphs consisting of vertices and edges. Planar graphs are fundamental for both graph theory;

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Modern Trends in Fuzzy Graph Theory

discussed concept. An authoritative, self-contained, and inspiring read on the theory and modern applications of fuzzy graphs, this book is of value;

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Regression Models for Categorical and Count Data

regression analysis on categorical and count data. The author covers both the theory and application of statistical models, with the help;

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On Sets and Graphs

This treatise presents an integrated perspective on the interplay of set theory and graph theory, providing an extensive selection;

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Algebras Graphs & Their Applications

areas, including algebra, operator theory, and combinatorics, and offers numerous applications of fractal theory, entropy theory, K-theory, and;

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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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Advanced Quantum Theory (Third Edition)

fundamental forces. The initial application is to nonrelativistic scattering graphs encountered in atomic, solid state, and nuclear physics. Then;

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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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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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A Textbook of Graph Theory

Here is a solid introduction to graph theory, covering Dirac's theorem on k-connected graphs, Harary-Nashwilliam's theorem on the;

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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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Graphs

covers the theory of graphs, its applications to computer networks and the theory of graph algorithms. Also includes exercises and an updated;

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Graph Theory

practical problems can be represented by graphs. In this book, the authors present new research on graph theory including the applications of graph;

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Tolerance Graphs

analysis and studies of the brain. Especially important have been the theory and applications of new intersection graph models such as;

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Random Graphs for Statistical Pattern Recognition

This work provides comprehensive coverage of two timely fields, enhanced with many references and real world examples. This valuable;

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Elementary Number Theory, Group Theory and Ramanujan Graphs

connected but sparse, and besides their interest within combinatorics and graph theory, they also find various applications in computer science and;

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Elementary Number Theory, Group Theory and Ramanujan Graphs

connected but sparse, and besides their interest within combinatorics and graph theory, they also find various applications in computer science and;

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Graphs and Matrices

texts on algebraic graph theory. Important matrices associated with graphs (for example, incidence, adjacency and Laplacian matrices) are;

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