Sprache: Englisch
Verlag: Cambridge University Press, 2010
ISBN 10: 0521131014 ISBN 13: 9780521131018
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 82,17
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In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Cambridge University Press, 2010
ISBN 10: 0521131014 ISBN 13: 9780521131018
Anbieter: Kennys Bookstore, Olney, MD, USA
EUR 116,92
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In den WarenkorbZustand: 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.
Sprache: Englisch
Verlag: Cambridge University Press, 2004
ISBN 10: 0521843359 ISBN 13: 9780521843355
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 151,44
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In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Cambridge University Press, 2010
ISBN 10: 0521131014 ISBN 13: 9780521131018
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
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.
EUR 238,25
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In den WarenkorbHardcover. Zustand: Brand New. 336 pages. 9.00x6.25x0.75 inches. In Stock.
Sprache: Englisch
Verlag: Cambridge University Press, 2004
ISBN 10: 0521843359 ISBN 13: 9780521843355
Anbieter: Kennys Bookstore, Olney, MD, USA
EUR 275,72
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. A self-contained introduction to the theory of scattered data approximation, suitable for graduates and researchers. Series Editor(s): Ablowitz, Mark J.; Davis, S. H.; Hinch, E. J.; Iserles, A.; Ockendon, J.; Olver, P. J. Series: Cambridge Monographs on Applied and Computational Mathematics. Num Pages: 348 pages, 53 b/w illus. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 228 x 152 x 24. Weight in Grams: 702. . 2004. Hardcover. . . . . Books ship from the US and Ireland.
Sprache: Englisch
Verlag: Cambridge University Press, 2004
ISBN 10: 0521843359 ISBN 13: 9780521843355
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. 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.