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Computational Homology / by Tomasz Kaczynski, Konstantin Mischaikow, Marian Mrozek
(Applied Mathematical Sciences. ISSN:2196968X ; 157)

1st ed. 2004.
出版者 (New York, NY : Springer New York : Imprint: Springer)
出版年 2004
本文言語 英語
大きさ XVIII, 482 p : online resource
著者標目 *Kaczynski, Tomasz author
Mischaikow, Konstantin author
Mrozek, Marian author
SpringerLink (Online service)
件 名 LCSH:Topology
LCSH:Mathematics
LCSH:Algebra, Homological
LCSH:Dynamical systems
LCSH:Mathematics -- Data processing  全ての件名で検索
LCSH:Algebraic topology
FREE:Topology
FREE:Applications of Mathematics
FREE:Category Theory, Homological Algebra
FREE:Dynamical Systems
FREE:Computational Mathematics and Numerical Analysis
FREE:Algebraic Topology
一般注記 Homology -- Preview -- Cubical Homology -- Computing Homology Groups -- Chain Maps and Reduction Algorithms -- Preview of Maps -- Homology of Maps -- Computing Homology of Maps -- Extensions -- Prospects in Digital Image Processing -- Homological Algebra -- Nonlinear Dynamics -- Homology of Topological Polyhedra -- Tools from Topology and Algebra -- Topology -- Algebra -- Syntax of Algorithms
In recent years, there has been a growing interest in applying homology to problems involving geometric data sets, whether obtained from physical measurements or generated through numerical simulations. This book presents a novel approach to homology that emphasizes the development of efficient algorithms for computation. As well as providing a highly accessible introduction to the mathematical theory, the authors describe a variety of potential applications of homology in fields such as digital image processing and nonlinear dynamics. The material is aimed at a broad audience of engineers, computer scientists, nonlinear scientists, and applied mathematicians. Mathematical prerequisites have been kept to a minimum and there are numerous examples and exercises throughout the text. The book is complemented by a website containing software programs and projects that help to further illustrate the material described within
HTTP:URL=https://doi.org/10.1007/b97315
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Springer eBooks 9780387215976
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データ種別 電子ブック
分 類 LCC:QA611-614.97
DC23:514
書誌ID 4000104384
ISBN 9780387215976

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