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Topological Complexity of Smooth Random Functions - Ecole d'Ete de Probabilites de Saint-Flour XXXIX-2009 (Paperback, 2011) Loot Price: R948
Discovery Miles 9 480
Topological Complexity of Smooth Random Functions - Ecole d'Ete de Probabilites de Saint-Flour XXXIX-2009 (Paperback,...

Topological Complexity of Smooth Random Functions - Ecole d'Ete de Probabilites de Saint-Flour XXXIX-2009 (Paperback, 2011)

Robert Adler, Jonathan E. Taylor

Series: Lecture Notes in Mathematics, 2019

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Loot Price R948 Discovery Miles 9 480 | Repayment Terms: R89 pm x 12*

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These notes, based on lectures delivered in Saint Flour, provide an easy introduction to the authors' 2007 Springer monograph "Random Fields and Geometry." While not as exhaustive as the full monograph, they are also less exhausting, while still covering the basic material, typically at a more intuitive and less technical level. They also cover some more recent material relating to random algebraic topology and statistical applications. The notes include an introduction to the general theory of Gaussian random fields, treating classical topics such as continuity and boundedness. This is followed by a quick review of geometry, both integral and Riemannian, with an emphasis on tube formulae, to provide the reader with the material needed to understand and use the Gaussian kinematic formula, the main result of the notes. This is followed by chapters on topological inference and random algebraic topology, both of which provide applications of the main results.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Lecture Notes in Mathematics, 2019
Release date: May 2011
First published: 2011
Authors: Robert Adler • Jonathan E. Taylor
Dimensions: 235 x 155 x 13mm (L x W x T)
Format: Paperback
Pages: 122
Edition: 2011
ISBN-13: 978-3-642-19579-2
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Science & Mathematics > Mathematics > Geometry > General
Books > Science & Mathematics > Mathematics > Topology > General
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LSN: 3-642-19579-2
Barcode: 9783642195792

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