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＜電子ブック＞
Wavelet Methods — Elliptic Boundary Value Problems and Control Problems / by Angela Kunoth
(Advances in Numerical Mathematics)

版	1st ed. 2001.
出版者	(Wiesbaden : Vieweg+Teubner Verlag : Imprint: Vieweg+Teubner Verlag)
出版年	2001
本文言語	英語
大きさ	X, 141 p : online resource
著者標目	*Kunoth, Angela author SpringerLink (Online service)
件　名	LCSH:Fourier analysis LCSH:Mathematical analysis LCSH:Mathematics FREE:Fourier Analysis FREE:Analysis FREE:Applications of Mathematics
一般注記	1 Introduction -- 2 The General Concept -- 3 Wavelets -- 3.1 Preliminaries -- 3.2 Multiscale Decomposition of Function Spaces — Uniform Refinements -- 3.3 Wavelets on an Interval -- 3.4 Wavelets on Manifolds -- 3.5 Multiscale Decomposition of Function Spaces — Non-Uniform Refinements -- 4 Elliptic Boundary Value Problems -- 4.1 General Saddle Point Problems -- 4.2 Elliptic Boundary Value Problems as Saddle Point Problems -- 4.3 Numerical Studies -- 5 Least Squares Problems -- 5.1 Introduction -- 5.2 General Setting -- 5.3 Least Squares Formulation of General Saddle Point Problems -- 5.4 Wavelet Representation of Least Squares Systems -- 5.5 Truncation -- 5.6 Preconditioning and Computational Work -- 5.7 Numerical Experiments -- 6 Control Problems -- 6.1 Introduction -- 6.2 The Continuous Case: Two Coupled Saddle Point Problems -- 6.3 Discretization and Preconditioning -- 6.4 The Discrete Finite—Dimensional Problem -- 6.5 Iterative Methods for WSPP($$ \hat \Lambda ,\Lambda $$) -- 6.6 Alternative Iterative Methods for the Coupled System -- 6.7 Outlook into Nonlinear Problems and Adaptive Strategies -- References This research monograph deals with applying recently developed wavelet methods to stationary operator equations involving elliptic differential equations. Particular emphasis is placed on the treatment of the boundary and the boundary conditions. While wavelets have since their discovery mainly been applied to problems in signal analysis and image compression, their analytic power has also been recognized for problems in Numerical Analysis. Together with the functional analytic framework for differential and integral quations, one has been able to conceptually discuss questions which are relevant for the fast numerical solution of such problems: preconditioning, stable discretizations, compression of full matrices, evaluation of difficult norms, and adaptive refinements. The present text focusses on wavelet methods for elliptic boundary value problems and control problems to show the conceptual strengths of wavelet techniques HTTP:URL=https://doi.org/10.1007/978-3-322-80027-5

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