Approximation and interpolation employing divergence-free radial basis functions with applications /

Approximation and interpolation employing radial basis functions has found important applications since the early 1980's in areas such as signal processing, medical imaging, as well as neural networks. Several applications demand that certain physical properties be fulfilled, such as a functio...

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Bibliographic Details
Main Author: Lowitzsch, Svenja
Other Authors: Narcowich, Francis J. (Thesis advisor), Ward, J. D. (Joseph D.) (Thesis advisor)
Format: Thesis eBook
Language:English
Published: [Place of publication not identified] : [publisher not identified] ; 2002.
Subjects:
Online Access:Link to OAK Trust copy
Description
Summary:Approximation and interpolation employing radial basis functions has found important applications since the early 1980's in areas such as signal processing, medical imaging, as well as neural networks. Several applications demand that certain physical properties be fulfilled, such as a function being divergence free. No such class of radial basis functions that reflects these physical properties was known until 1994, when Narcowich and Ward introduced a family of matrix-valued radial basis functions that are divergence free. They also obtained error bounds and stability estimates for interpolation by means of these functions. These divergence-free functions are very smooth, and have unbounded support. In this thesis we introduce a new class of matrix-valued radial basis functions that are divergence free as well as compactly supported. This leads to the possibility of applying fast solvers for inverting interpolation matrices, as these matrices are not only symmetric and positive definite, but also sparse because of this compact support. We develop error bounds and stability estimates which hold for a broad class of functions. We conclude with applications to the numerical solution of the Navier-Stokes equation for certain incompressible fluid flows.
Item Description:Adobe PDF with 138 leaves.
"Major Subject: Mathematics".
Title from title page.
Electronic resource.
Format:System requirements: Adobe Acrobat Reader.
Mode of access: World Wide Web.
Bibliography:Includes bibliographical references.