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  • Graph Connections: Relationships between Graph Theory and Other Areas of Mathematics

    Graph Connections by Beineke, Lowell W.; Wilson, Robin J.;

    Relationships between Graph Theory and Other Areas of Mathematics

    Series: Oxford Lecture Series in Mathematics and Its Applications; 5;

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    Product details:

    • Publisher OUP Oxford
    • Date of Publication 16 January 1997
    • Number of Volumes laminated boards

    • ISBN 9780198514978
    • Binding Hardback
    • No. of pages304 pages
    • Size 241x161x22 mm
    • Weight 580 g
    • Language English
    • Illustrations line figures, tables
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    Short description:

    The purpose of this book is to inform mathematicians about the applicability of graph theory to other areas of mathematics, from number theory, to linear algebra, knots, neural networks, and finance. This is achieved through a series of expository chapters, each devoted to a different field and written by an expert in that field. The book is more than a collection of essays however, in that the chapters have been carefully edited to ensure a common level of exposition, with terminology and notation standarised as far as possible.

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    Long description:

    The purpose of this book is to inform mathematicians about the applicability of graph theory to other areas of mathematics, from number theory, to linear algebra, knots, neural networks, and finance. This is achieved through a series of expository chapters, each devoted to a different field and written by an expert in that field. This book is more than a collection of essays however, in that the chapters have been carefully edited to ensure a common level of exposition, with terminology and notation standardized as far as possible. This book will be useful to professsional mathematicians and graduate students. It should also appeal to scientists working in other areas.

    Obviously there are other areas of mathematics that have connections with Graph Theory, but the section presented in the current volume is more that sufficient to indicate the great diversity available in applying Graph Theory. There are bound to be several chapters in this book that will appeal to any reader, no matter what his or her particular intests may be.

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    Table of Contents:

    Introduction
    Enumeration
    Number Theory
    Partial Orders
    First-order Logic
    Linear Algebra
    Matroids
    Codes
    Groups
    Geometry
    Topology
    Knots
    Probability
    Statistics
    Computing
    Artificial Neural Networks
    International Finance
    Notes on Contributors
    Index

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