Asymptotic Geometric Analysis - Proceedings of the Fall 2010 Fields Institute Thematic Program (Paperback, 2013 ed.)

Asymptotic Geometric Analysis is concerned with the geometric and linear properties of finite dimensional objects, normed spaces, and convex bodies, especially with the asymptotics of their various quantitative parameters as the dimension tends to infinity. The deep geometric, probabilistic, and combinatorial methods developed here are used outside the field in many areas of mathematics and mathematical sciences. The Fields Institute Thematic Program in the Fall of 2010 continued an established tradition of previous large-scale programs devoted to the same general research direction. The main directions of the program included: * Asymptotic theory of convexity and normed spaces * Concentration of measure and isoperimetric inequalities, optimal transportation approach * Applications of the concept of concentration * Connections with transformation groups and Ramsey theory * Geometrization of probability * Random matrices * Connection with asymptotic combinatorics and complexity theory These directions are represented in this volume and reflect the present state of this important area of research. It will be of benefit to researchers working in a wide range of mathematical sciences-in particular functional analysis, combinatorics, convex geometry, dynamical systems, operator algebras, and computer science.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Fields Institute Communications, 68
Release date:	April 2015
Editors:	Monika Ludwig • Vitali D Milman • Vladimir Pestov • Nicole Tomczak-Jaegermann
Dimensions:	235 x 155 x 21mm (L x W x T)
Format:	Paperback
Pages:	395
Edition:	2013 ed.
ISBN-13:	978-1-4899-9331-1
Languages:	English
Subtitles:	English
Categories:	Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Vector & tensor analysis Books > Science & Mathematics > Mathematics > Geometry > General
LSN:	1-4899-9331-2
Barcode:	9781489993311

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