Curve and Surface Fitting with Splines Revised Edition Contributor(s): Dierckx, Paul (Author) |
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ISBN: 019853440X ISBN-13: 9780198534402 Publisher: Clarendon Press OUR PRICE: $175.75 Product Type: Paperback Published: June 1995 Annotation: The fitting of a curve or surface through a set of observational data is a recurring problem across numerous disciplines such as applications. This book describes the algorithms and mathematical fundamentals of a widely used software package for data fitting with tensor product splines. It gives a survey of possibilities, benefits, and problems commonly confronted when approximating with this popular type of function. Dierkx demonstrates in detail how the properties of B-splines can be fully exploited for improving the computational efficiency and for incorporating different boundary or shape preserving constraints. Special attention is also paid to strategies for an automatic and adaptive knot selection with intent to obtain serious data reductions. The practical use of the smoothing software is illustrated with many theoretical and practical examples. |
Additional Information |
BISAC Categories: - Mathematics | Mathematical Analysis - Mathematics | Geometry - General - Computers | Computer Science |
Dewey: 515 |
Physical Information: 0.64" H x 6.14" W x 9.21" (0.94 lbs) 304 pages |
Descriptions, Reviews, Etc. |
Publisher Description: The fitting of a curve or surface through a set of observational data is a recurring problem across numerous disciplines such as applications. This book describes the algorithms and mathematical fundamentals of a widely used software package for data fitting with tensor product splines. It gives a survey of possibilities, benefits, and problems commonly confronted when approximating with this popular type of function. Dierkx demonstrates in detail how the properties of B-splines can be fully exploited for improving the computational efficiency and for incorporating different boundary or shape preserving constraints. Special attention is also paid to strategies for an automatic and adaptive knot selection with intent to obtain serious data reductions. The practical use of the smoothing software is illustrated with many theoretical and practical examples. |