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Graph colouring and the probabilistic method图着色与概率方法

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Graph colouring and the probabilistic method图着色与概率方法

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作 者:MichaelMolloy 等著

出 版 社:湖南文艺出版社

出版时间:2001-10-1

I S B N:9783540421399

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内容简介

Over the past decade, many major advances have been made in the field of graph colouring via the probabilistic method. This monograph provides an accessible and unified treatment of these results, using tools such as the Lovasz Local Lemma and Talagrand's concentration inequality.
  The topics covered include: Kahn's proofs that the Goldberg-Seymour and List Colouring Conjectures hold asymptotically; a proof that for some absolute constant C, every graph of maximum degree Delta has a Delta+C total colouring; Johansson's proof that a triangle free graph has a O(Delta over log Delta) colouring; algorithmic variants of the Local Lemma which permit the efficient construction of many optimal and near-optimal colourings.
  This begins with a gentle introduction to the probabilistic method and will be useful to researchers and graduate students in graph theory, discrete mathematics, theoretical computer science and probability.

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目录

Part I Preliminaries
 1 Colouring Preliminaries
 2 Probabilistic Preliminaries
Part II Basic Probabilistic Tools
 3 The First Moment Method
 4 The Lovasz Local Lemma
 5 The Chernoff Bound
Part III Vertex Partitions
 6 Hadwiger's Conjecture
 7 A First Glimpse of Total Colouring
 8 The Strong Chromatic Number
 9 Total Colouring Revisited
Part IV A Naive Colouring Procedure
 10 Talagrand's Inequality and Colouring Sparse Graphs
 11 Azuma's Inequality and a Strengthening of Brooks' Theorem
Part V An Iterative Approach
 12 Graphs with Girth at Least Five
 13 Triangle-Free Graphs
 14 The List Colouring Conjecture
Part VI A Structural Decomposition
 15 The Structural Decomposition
 16 [omega], [Delta] and [chi]
 17 Near Optimal Total Colouring I: Sparse Graphs
 18 Near Optimal Total Colouring II: General Graphs
Part VII Sharpening our Tools
 19 Generalizations of the Local Lemma
 20 A Closer Look at Talagrand's Inequality
Part VIII Colour Assignment via Fractional Colouring
 21 Finding Fractional Colourings and Large Stable Sets
 22 Hard-Core Distributions on Matchings
 23 The Asymptotics of Edge Colouring Multigraphs
Part IX Algorithmic Aspects
 24 The Method of Conditional Expectations
 25 Algorithmic Aspects of the Local Lemma
References
Index

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