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Approximation by smoothing variational vector splines for noisy data

Authors :
Kouibia, A.
Pasadas, M.
Source :
Journal of Computational & Applied Mathematics. Feb2008, Vol. 211 Issue 2, p213-222. 10p.
Publication Year :
2008

Abstract

Abstract: This paper addresses the problem of constructing some free-form curves and surfaces from given to different types of data: exact and noisy data. We extend the theory of -splines over a bounded domain for noisy data to the smoothing variational vector splines. Both results of convergence for respectively the exact and noisy data are established, as soon as some estimations of errors are given. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
03770427
Volume :
211
Issue :
2
Database :
Academic Search Index
Journal :
Journal of Computational & Applied Mathematics
Publication Type :
Academic Journal
Accession number :
27354447
Full Text :
https://doi.org/10.1016/j.cam.2006.11.016