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CRC Press Applications of Combinatorial Matrix Theory to Laplacian Matrices

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Description

Applications of Combinatorial Matrix Theory to Laplacian Matrices of Graphs explores the intersection of matrix theory and graph theory, demonstrating how adjacency, Laplacian, and incidence matrices represent graphs and reveal structural properties. This comprehensive compilation synthesises decades of groundbreaking research from the mid-1970s onwards, featuring contributions from renowned mathematicians including Fallat, Fiedler, Grone, Kirkland, Merris, Mohar, Neumann, and Shader. The text provides essential insights into Laplacian matrices and their applications, making it invaluable for mathematicians, computer scientists, and researchers working with discrete mathematics, graph algorithms, and combinatorial optimisation. Part of the Discrete Mathematics and Its Applications series published by Chapman and Hall/CRC, this book bridges theoretical foundations with practical applications in computational mathematics and network analysis.

Key Features

Laplacian matrices receive comprehensive treatment with results developed since the mid-1970s by leading mathematicians in the field.

Adjacency and incidence matrices are explained as practical tools for representing graphs and extracting structural information.

The text synthesises work by Fallat, Fiedler, Grone, Kirkland, Merris, Mohar, Neumann, and Shader, offering authoritative coverage of the subject.

Discrete Mathematics and Its Applications series provides rigorous mathematical foundations for algorithms and computational theory.

Chapman and Hall/CRC publication ensures peer-reviewed academic standards and professional presentation of advanced matrix theory.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
14 March 2012
Listed Since
25 October 2010

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