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Can I read Approximation by Smoothing Variational Vector Splines for Noisy Data on EtoBox?
Approximation by Smoothing Variational Vector Splines for Noisy Data by A. Kouibia; M. Pasadas is a Mathematics article available to read on EtoBox.
What is Approximation by Smoothing Variational Vector Splines for Noisy Data about?
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 D m -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.
Who reads Approximation by Smoothing Variational Vector Splines for Noisy Data?
It is typically read by researchers, students, and practitioners in Mathematics.
- Author
- A. Kouibia; M. Pasadas
- Publisher
- Elsevier Science; Elsevier ; Elsevier BV (ISSN 0377-0427)
- Published
- 2008
- Language
- EN
- Field
- Mathematics (Physical Sciences)