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Algebraic Graph Theory (Cambridge Mathematical Library) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

Algebraic Graph Theory (Cambridge Mathematical Library)
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简体网页||繁体网页
Norman Biggs 作者
Cambridge University Press
译者
1994-02-03 出版日期
216 页数
USD 39.99 价格
Paperback
丛书系列
9780521458979 图书编码

Algebraic Graph Theory (Cambridge Mathematical Library) 在线电子书 图书标签: 组合数学  数学   

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Algebraic Graph Theory (Cambridge Mathematical Library) 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Algebraic Graph Theory (Cambridge Mathematical Library) 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Algebraic Graph Theory (Cambridge Mathematical Library) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


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Algebraic Graph Theory (Cambridge Mathematical Library) 在线电子书 著者简介

Algebraic Graph Theory (Cambridge Mathematical Library) 在线电子书 图书目录

Algebraic Graph Theory (Cambridge Mathematical Library) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Algebraic Graph Theory (Cambridge Mathematical Library) 在线电子书 图书描述

In this substantial revision of a much-quoted monograph first published in 1974, Dr. Biggs aims to express properties of graphs in algebraic terms, then to deduce theorems about them. In the first section, he tackles the applications of linear algebra and matrix theory to the study of graphs; algebraic constructions such as adjacency matrix and the incidence matrix and their applications are discussed in depth. There follows an extensive account of the theory of chromatic polynomials, a subject that has strong links with the "interaction models" studied in theoretical physics, and the theory of knots. The last part deals with symmetry and regularity properties. Here there are important connections with other branches of algebraic combinatorics and group theory. The structure of the volume is unchanged, but the text has been clarified and the notation brought into line with current practice. A large number of "Additional Results" are included at the end of each chapter, thereby covering most of the major advances in the past twenty years. This new and enlarged edition will be essential reading for a wide range of mathematicians, computer scientists and theoretical physicists.

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