Search:
Computing and Library Services - delivering an inspiring information environment

Spline approximation using knot density functions

Crampton, Andrew and Forbes, Alistair B. (2006) Spline approximation using knot density functions. In: Algorithms for Approximation. Springer, London, pp. 249-258. ISBN 978-3-540-33283-1

Metadata only available from this repository.

Abstract

This paper, resulting from research collaboration with the UK National Physical Laboratory, is the first to present successfully a
simple method for controlling the location parameters in univariate spline approximations. Traditional highly non-linear
approaches are avoided by considering the parameters to be a function of a given density model. We present a number of
density models for a range of data types, such as dominant local variability. This paper delivers to a scientific discipline applying
polynomial spline approximations to recover discrete data to a high level of accuracy a method which avoids the need to
construct complicated mathematical models.

Item Type: Book Chapter
Additional Information: UoA 23 (Computer Science and Informatics) Proceedings of the 5th International Conference, Chester, July 2005
Subjects: Q Science > QC Physics
Schools: School of Computing and Engineering
School of Computing and Engineering > Automotive Engineering Research Group
School of Computing and Engineering > Centre for Precision Technologies
School of Computing and Engineering > Centre for Precision Technologies > Surface Metrology Group
School of Computing and Engineering > Informatics Research Group
School of Computing and Engineering > Informatics Research Group > Knowledge Engineering and Intelligent Interfaces
School of Computing and Engineering > Informatics Research Group > Software Engineering Research Group
School of Computing and Engineering > Informatics Research Group > XML, Database and Information Retrieval Research Group
Related URLs:
Depositing User: Graham Stone
Date Deposited: 22 Oct 2008 11:22
Last Modified: 10 Dec 2010 13:25
URI: http://eprints.hud.ac.uk/id/eprint/2437

Item control for Repository Staff only:

View Item

University of Huddersfield, Queensgate, Huddersfield, HD1 3DH Copyright and Disclaimer All rights reserved ©