ISBN: 9780521131018 - scattered data approximation (cambridge monographs on applied and computational mathematics, 17, band 17) (8 Ergebnisse)

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Zustand: 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. . . . . …

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Paperback. Zustand: 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.…

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Zustand: 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. . . . . Books ship from the US and Ireland. …

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.…

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Paperback. Zustand: 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.…

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