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Positional Games (Paperback, 2014 ed.): Dan Hefetz, Michael Krivelevich, Milos Stojakovic, Tibor Szabo Positional Games (Paperback, 2014 ed.)
Dan Hefetz, Michael Krivelevich, Milos Stojakovic, Tibor Szabo
R721 Discovery Miles 7 210 Ships in 12 - 17 working days

This text is based on a lecture course given by the authors in the framework of Oberwolfach Seminars at the Mathematisches Forschungsinstitut Oberwolfach in May, 2013. It is intended to serve as a thorough introduction to the rapidly developing field of positional games. This area constitutes an important branch of combinatorics, whose aim it is to systematically develop an extensive mathematical basis for a variety of two player perfect information games. These ranges from such popular games as Tic-Tac-Toe and Hex to purely abstract games played on graphs and hypergraphs. The subject of positional games is strongly related to several other branches of combinatorics such as Ramsey theory, extremal graph and set theory, and the probabilistic method. These notes cover a variety of topics in positional games, including both classical results and recent important developments. They are presented in an accessible way and are accompanied by exercises of varying difficulty, helping the reader to better understand the theory.The text will benefit both researchers and graduate students in combinatorics and adjacent fields."

Random Graphs, Geometry and Asymptotic Structure (Hardcover): Michael Krivelevich, Konstantinos Panagiotou, Mathew Penrose,... Random Graphs, Geometry and Asymptotic Structure (Hardcover)
Michael Krivelevich, Konstantinos Panagiotou, Mathew Penrose, Colin McDiarmid; Edited by Nikolaos Fountoulakis, …
R2,180 Discovery Miles 21 800 Ships in 10 - 15 working days

The theory of random graphs is a vital part of the education of any researcher entering the fascinating world of combinatorics. However, due to their diverse nature, the geometric and structural aspects of the theory often remain an obscure part of the formative study of young combinatorialists and probabilists. Moreover, the theory itself, even in its most basic forms, is often considered too advanced to be part of undergraduate curricula, and those who are interested usually learn it mostly through self-study, covering a lot of its fundamentals but little of the more recent developments. This book provides a self-contained and concise introduction to recent developments and techniques for classical problems in the theory of random graphs. Moreover, it covers geometric and topological aspects of the theory and introduces the reader to the diversity and depth of the methods that have been devised in this context.

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