Overview
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.
Full Product Details
Author: Michael Molloy ,
Bruce Reed
Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition: 2002 ed.
Volume: 23
Dimensions:
Width: 15.50cm
, Height: 2.00cm
, Length: 23.50cm
Weight: 1.450kg
ISBN: 9783540421399
ISBN 10: 3540421394
Pages: 326
Publication Date: 20 November 2001
Audience:
Professional and scholarly
,
Professional and scholarly
,
Professional & Vocational
,
Professional & Vocational
Format: Hardback
Publisher's Status: Active
Availability: In Print
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Reviews
From the reviews of the first edition: The presented book contains many ... chapters, each of which presents a proof technique and apply that for a certain graph coloring problem. ... The book ends with a vast bibliography. We think that this well-written monograph will serve as a main reference on the subject for years to come. (Janos Barat, Acta Scientiarum Mathematicarum, Vol. 69, 2003) The book is a pleasure to read; there is a clear, successful attempt to present the intuition behind the proofs, making even the difficult, recent proofs of important results accessible to potential readers. ... The book is highly recommended to researchers and graduate students in graph theory, combinatorics, and theoretical computer science who wish to have this ability. (Noga Alon, SIAM Review, Vol. 45 (2), 2003) The probabilistic method in graph theory was initiated by Paul Erdos in 1947 ... . This book is an introduction to this powerful method. ... The book is well-written and brings the researcher to the frontiers of an exciting field. (M.R. Murty, Short Book Reviews, Vol. 23 (1), April, 2003) This monograph provides an accessible and unified treatment of major advances made in graph colouring via the probabilistic method. ... Many exercises and excellent remarks are presented and discussed. Also very useful is the list of up-to-date references for current research. This monograph will be useful both to researchers and graduate students in graph theory, discrete mathematics, theoretical computer science and probability. (Jozef Fiamcik, Zentralblatt MATH, Vol. 987 (12), 2002)
From the reviews of the first edition: The presented book contains many ... chapters, each of which presents a proof technique and apply that for a certain graph coloring problem. ... The book ends with a vast bibliography. We think that this well-written monograph will serve as a main reference on the subject for years to come. (Janos Barat, Acta Scientiarum Mathematicarum, Vol. 69, 2003) The book is a pleasure to read; there is a clear, successful attempt to present the intuition behind the proofs, making even the difficult, recent proofs of important results accessible to potential readers. ... The book is highly recommended to researchers and graduate students in graph theory, combinatorics, and theoretical computer science who wish to have this ability. (Noga Alon, SIAM Review, Vol. 45 (2), 2003) The probabilistic method in graph theory was initiated by Paul Erdos in 1947 ... . This book is an introduction to this powerful method. ... The book is well-written and brings the researcher to the frontiers of an exciting field. (M.R. Murty, Short Book Reviews, Vol. 23 (1), April, 2003) This monograph provides an accessible and unified treatment of major advances made in graph colouring via the probabilistic method. ... Many exercises and excellent remarks are presented and discussed. Also very useful is the list of up-to-date references for current research. This monograph will be useful both to researchers and graduate students in graph theory, discrete mathematics, theoretical computer science and probability. (Jozef Fiamcik, Zentralblatt MATH, Vol. 987 (12), 2002)
From the reviews of the first edition: <p> The presented book contains many a ] chapters, each of which presents a proof technique and apply that for a certain graph coloring problem. a ] The book ends with a vast bibliography. We think that this well-written monograph will serve as a main reference on the subject for years to come. (JAnos BarAt, Acta Scientiarum Mathematicarum, Vol. 69, 2003) <p> The book is a pleasure to read; there is a clear, successful attempt to present the intuition behind the proofs, making even the difficult, recent proofs of important results accessible to potential readers. a ] The book is highly recommended to researchers and graduate students in graph theory, combinatorics, and theoretical computer science who wish to have this ability. (Noga Alon, SIAM Review, Vol. 45 (2), 2003) <p> The probabilistic method in graph theory was initiated by Paul ErdAs in 1947 a ] . This book is an introduction to this powerful method. a ] The book is well-written and brings the researcher to the frontiers of an exciting field. (M.R. Murty, Short Book Reviews, Vol. 23 (1), April, 2003) <p> This monograph provides an accessible and unified treatment of major advances made in graph colouring via the probabilistic method. a ] Many exercises and excellent remarks are presented and discussed. Also very useful is the list of up-to-date references for current research. This monograph will be useful both to researchers and graduate students in graph theory, discrete mathematics, theoretical computer science and probability. (Jozef Fiamcik, Zentralblatt MATH, Vol. 987 (12), 2002)
