Two-stage approximation methods with extended B-splines
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- by O. Davydov, J. Prasiswa and U. Reif PDF
- Math. Comp. 83 (2014), 809-833 Request permission
Abstract:
We develop and analyze a framework for two-stage methods with EB-splines, applicable to continuous and discrete approximation problems. In particular, we propose a weighted discrete least squares fit that yields optimal convergence rates for sufficiently dense data on Lipschitz domains in $\mathbb {R}^d$.References
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Additional Information
- O. Davydov
- Affiliation: Department of Mathematics, University of Strathcylde, 26 Richmond Street, Glasgow, G1 1XH United Kingdom
- Email: oleg.davydov@strath.ac.uk
- J. Prasiswa
- Affiliation: Fachbereich Mathematik, Technische Universität Darmstadt, Schlossgartenstr. 7, 64289 Darmstadt, Germany
- Email: praiswa@mathematik.tu-darmstadt.de
- U. Reif
- Affiliation: Fachbereich Mathematik, Technische Universität Darmstadt, Schlossgartenstr. 7, 64289 Darmstadt, Germany
- Email: reif@mathematik.tu-darmstadt.de
- Received by editor(s): December 17, 2010
- Received by editor(s) in revised form: June 1, 2012
- Published electronically: July 10, 2013
- Additional Notes: The first author was supported in part by a Research Fellowship from the Alexander von Humboldt Foundation.
- © Copyright 2013
American Mathematical Society
The copyright for this article reverts to public domain 28 years after publication. - Journal: Math. Comp. 83 (2014), 809-833
- MSC (2010): Primary 41A15; Secondary 65D07
- DOI: https://doi.org/10.1090/S0025-5718-2013-02734-2
- MathSciNet review: 3143693