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Journal ArticleDOI

Locally Supported, Piecewise Polynomial Biorthogonal Wavelets on Nonuniform Meshes

Rob Stevenson
- 18 Jul 2003 - 
- Vol. 19, Iss: 4, pp 477-508
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TLDR
In this paper, biorthogonal wavelets are constructed on nonuniform ��meshes and both primal and dual wavelets generate Riesz bases for the Sobolev spaces for (|s| < 3/2) and the primal side span standard Lagrange finite element spaces, respectively.
Abstract
In this paper, biorthogonal wavelets are constructed on nonuniform meshes. Both primal and dual wavelets are locally supported, continuous piecewise polynomials. The wavelets generate Riesz bases for the Sobolev spaces (H s ) for (|s| < 3/2). The wavelets at the primal side span standard Lagrange finite element spaces.

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Citations
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Adaptive Solution of Operator Equations Using Wavelet Frames

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A sparse grid space-time discretization scheme for parabolic problems

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On the compressibility of operators in wavelet coordinates

TL;DR: In [Found. Math., 2 (2002), pp. 203--245], Cohen, Dahmen, and DeVore proposed an adaptive wavelet algorithm for solving operator equations, assuming that the operator defines a boundedly in the wavelet.
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Adaptive boundary element methods with convergence rates

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References
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Journal ArticleDOI

Biorthogonal bases of compactly supported wavelets

TL;DR: In this paper, it was shown that under fairly general conditions, exact reconstruction schemes with synthesis filters different from the analysis filters give rise to two dual Riesz bases of compactly supported wavelets.

The lifting scheme: A construction of second generation wavelets

Wim Sweldens
TL;DR: The lifting scheme is presented, a simple construction of second generation wavelets; these are wavelets that are not necessarily translates and dilates of one fixed function, and can be adapted to intervals, domains, surfaces, weights, and irregular samples.
Journal ArticleDOI

The lifting scheme: a construction of second generation wavelets

TL;DR: The lifting wavelet as discussed by the authors is a simple construction of second generation wavelets that can be adapted to intervals, domains, surfaces, weights, and irregular samples, and it leads to a faster, in-place calculation of the wavelet transform.
Journal ArticleDOI

Wavelet and multiscale methods for operator equations

TL;DR: Although there remain many unresolved problems, multigrid or multilevel schemes in the classical framework of finite difference and finite element discretizations exhibit by now a comparatively clear profile.
Book ChapterDOI

Wavelet methods in numerical analysis

TL;DR: The chapter describes the decomposition and reconstruction algorithms that can be used to compute the coefficients of a function in two elementary wavelet bases and it investigates the way these schemes can be generalized in a natural way to multivariate functions.
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