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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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Proceedings ArticleDOI

Distributed cooperative control and collision avoidance for multiple kinematic agents

TL;DR: It is shown that when inter-agent formation objectives cannot occur simultaneously in the state-space then, under certain assumptions, the agents velocity vectors and orientations converge to a common value at steady state, under the same control strategy that would lead to a feasible formation.
Journal ArticleDOI

Petri net based model of the body iron homeostasis.

TL;DR: A Petri net based model of the body iron homeostasis is presented, which allows for a possible simulation of the process, since PetriNet theory provides a lot of established analysis techniques.
Journal ArticleDOI

More spectral bounds on the clique and independence numbers

TL;DR: Some new bounds for the clique and independence numbers of a graph in terms of its eigenvalues are given and it is shown that this inequality is tight up to factor of 4 for almost all d-regular graphs.
Book ChapterDOI

Discrete Mathematics and Radio Channel Assignment

C. McDiarmid
TL;DR: The following generalization of graph colouring arises naturally in the study of channel assignment for cellular radiocommunications networks.
Proceedings ArticleDOI

Deterministic distributed edge-coloring with fewer colors

TL;DR: In this article, a deterministic distributed algorithm for (1+o(1))Δ-edge-coloring in polylogarithmic time was presented, so long as the maximum degree Δ = Ω(logn).