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Scattered Data Approximation: 17 (Cambridge Monographs on Applied and Computational Mathematics, Series Number 17) - Softcover
Synopsis
A self-contained introduction to the theory of scattered data approximation, suitable for graduates and researchers.
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About the Author
Holger Wendland is Associate Professor at the Institute for Numerical and Applied Mathematics at Georg-August-University, Gottingen.
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Scattered Data Approximation
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Cambridge University Press, 2010
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ISBN 13: 9780521131018
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Scattered Data Approximation
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Scattered Data Approximation (Cambridge Monographs on Applied and Computational Mathematics, Series Number 17)
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Scattered Data Approximation
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Scattered Data Approximation (Cambridge Monographs on Applied and Computational Mathematics, Series Number 17)
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ISBN 10: 0521131014
ISBN 13: 9780521131018
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Scattered Data Approximation: 17 (Cambridge Monographs on Applied and Computational Mathematics, Series Number 17)
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Cambridge University Press, 2010
ISBN 10: 0521131014
ISBN 13: 9780521131018
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Condition: New. A self-contained introduction to the theory of scattered data approximation, suitable for graduates and researchers. Series: Cambridge Monographs on Applied and Computational Mathematics. Num Pages: 348 pages, 53 b/w illus. BIC Classification: PBKS. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 229 x 152 x 20. Weight in Grams: 510. . 2010. 1st Edition. paperback. . . . . Seller Inventory # V9780521131018
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Scattered Data Approximation
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Paperback. Condition: New. Many practical applications require the reconstruction of a multivariate function from discrete, unstructured data. This book gives a self-contained, complete introduction into this subject. It concentrates on truly meshless methods such as radial basis functions, moving least squares, and partitions of unity. The book starts with an overview on typical applications of scattered data approximation, coming from surface reconstruction, fluid-structure interaction, and the numerical solution of partial differential equations. It then leads the reader from basic properties to the current state of research, addressing all important issues, such as existence, uniqueness, approximation properties, numerical stability, and efficient implementation. Each chapter ends with a section giving information on the historical background and hints for further reading. Complete proofs are included, making this perfectly suited for graduate courses on multivariate approximation and it can be used to support courses in computer-aided geometric design, and meshless methods for partial differential equations. Seller Inventory # LU-9780521131018
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Scattered Data Approximation
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