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.
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Paul Dierckx is at Katholieke Universiteit Leuven.Review:
"The writing is clear and straightforward. Excellent biography. Recommended." --Choice
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Book Description Oxford University Press. Hardcover. Book Condition: Very Good. 0198534418 Oxford University Press hardcover sans dust jacket (as issued), 1993, clean/tight- two pages have tiny marks in red otherwise unmarked and defect free (like New); We will bubble-wrap the book and ship it in a BOX with free delivery confirmation/tracking. Bookseller Inventory # TEC1198