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Modern graph theory

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TLDR
This book presents an account of newer topics, including Szemer'edi's Regularity Lemma and its use; Shelah's extension of the Hales-Jewett Theorem; the precise nature of the phase transition in a random graph process; the connection between electrical networks and random walks on graphs; and the Tutte polynomial and its cousins in knot theory.
Abstract
The time has now come when graph theory should be part of the education of every serious student of mathematics and computer science, both for its own sake and to enhance the appreciation of mathematics as a whole. This book is an in-depth account of graph theory, written with such a student in mind; it reflects the current state of the subject and emphasizes connections with other branches of pure mathematics. The volume grew out of the author's earlier book, Graph Theory -- An Introductory Course, but its length is well over twice that of its predecessor, allowing it to reveal many exciting new developments in the subject. Recognizing that graph theory is one of several courses competing for the attention of a student, the book contains extensive descriptive passages designed to convey the flavor of the subject and to arouse interest. In addition to a modern treatment of the classical areas of graph theory such as coloring, matching, extremal theory, and algebraic graph theory, the book presents a detailed account of newer topics, including Szemer\'edi's Regularity Lemma and its use, Shelah's extension of the Hales-Jewett Theorem, the precise nature of the phase transition in a random graph process, the connection between electrical networks and random walks on graphs, and the Tutte polynomial and its cousins in knot theory. In no other branch of mathematics is it as vital to tackle and solve challenging exercises in order to master the subject. To this end, the book contains an unusually large number of well thought-out exercises: over 600 in total. Although some are straightforward, most of them are substantial, and others will stretch even the most able reader.

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Journal ArticleDOI

Diagnosability of regular systems

TL;DR: A novel approach aimed at evaluating the diagnosability of regular systems under the PMC model, which relies on the "edge-isoperimetric inequalities" of connected components of units declaring each other nonfaulty to derive tight lower bounds to the diagnOSability of toroidal grids and hypercubes.
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Network-theoretic approach to sparsified discrete vortex dynamics

TL;DR: In this paper, the sparsification techniques on these graph representations based on spectral theory were employed for constructing sparsified models and evaluating the dynamics of vortices in the spatio-temporal graph.
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Graphs and Hermitian matrices: eigenvalue interlacing

TL;DR: It is proved that for every r>=3,c>0, there exists @b=@b(c,r) such that forevery K"r-free graph G=G(n,m) with m>cn^2, the smallest eigenvalue @m"n of G satisfies @m
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On Minimum Reload Cost Cycle Cover

TL;DR: It is proved that the problem of spanning the nodes of a given colored graph G=(N,A) by a set of node-disjoint cycles at minimum reload cost is strongly NP-hard and not approximable within 1@e for any @e>0 even when the number of colors is 2.
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Network community-based model reduction for vortical flows.

TL;DR: A network community-based reduced-order model is developed to capture key interactions among coherent structures in high-dimensional unsteady vortical flows and is found to be robust against simulated experimental noise and turbulence due to its integrating nature of the system reduction.