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  • 1
    Online Resource
    Online Resource
    New York, NY : Springer New York
    UID:
    b3kat_BV042418928
    Format: 1 Online-Ressource (XVIII, 482 p)
    ISBN: 9780387215976 , 9781441923547
    Series Statement: Applied Mathematical Sciences 157
    Note: 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
    Language: English
    Keywords: Homologie
    URL: Volltext  (lizenzpflichtig)
    URL: Cover
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