[BOOK][B] Computing with hp-adaptive finite elements: volume 1 one and two dimensional elliptic and Maxwell problems
L Demkowicz - 2006 - taylorfrancis.com
Offering the only existing finite element (FE) codes for Maxwell equations that support hp
refinements on irregular meshes, Computing with hp-ADAPTIVE FINITE ELEMENTS …
refinements on irregular meshes, Computing with hp-ADAPTIVE FINITE ELEMENTS …
Adaptive finite element methods with convergence rates
Adaptive Finite Element Methods for numerically solving elliptic equations are used often in
practice. Only recently [12],[17] have these methods been shown to converge. However, this …
practice. Only recently [12],[17] have these methods been shown to converge. However, this …
Adaptive wavelet methods for solving operator equations: an overview
R Stevenson - … , Nonlinear and Adaptive Approximation: Dedicated to …, 2009 - Springer
Abstract In [Math. Comp, 70 (2001), 27–75] and [Found. Comput. Math., 2 (3)(2002), 203–
245], Cohen, Dahmen and DeVore introduced adaptive wavelet methods for solving …
245], Cohen, Dahmen and DeVore introduced adaptive wavelet methods for solving …
Multi-scale geometric methods for data sets II: Geometric multi-resolution analysis
Data sets are often modeled as samples from a probability distribution in RD, for D large. It is
often assumed that the data has some interesting low-dimensional structure, for example …
often assumed that the data has some interesting low-dimensional structure, for example …
[BOOK][B] Wavelet methods for elliptic partial differential equations
K Urban - 2008 - books.google.com
The origins of wavelets go back to the beginning of the last century and wavelet methods are
by now a well-known tool in image processing (jpeg2000). These functions have, however …
by now a well-known tool in image processing (jpeg2000). These functions have, however …
[PDF][PDF] Universal algorithms for learning theory part i: Piecewise constant functions.
This paper is concerned with the construction and analysis of a universal estimator for the
regression problem in supervised learning. Universal means that the estimator does not …
regression problem in supervised learning. Universal means that the estimator does not …
Adaptive wavelet schemes for nonlinear variational problems
We develop and analyze wavelet based adaptive schemes for nonlinear variational
problems. We derive estimates for convergence rates and corresponding work counts that …
problems. We derive estimates for convergence rates and corresponding work counts that …
Convergence and optimality of adaptive mixed finite element methods
The convergence and optimality of adaptive mixed finite element methods for the Poisson
equation are established in this paper. The main difficulty for mixed finite element methods is …
equation are established in this paper. The main difficulty for mixed finite element methods is …
Axioms of adaptivity with separate marking for data resolution
C Carstensen, H Rabus - SIAM Journal on Numerical Analysis, 2017 - SIAM
Mixed finite element methods with flux errors in H(div)-norms and div-least-squares finite
element methods require a separate marking strategy in obligatory adaptive mesh-refining …
element methods require a separate marking strategy in obligatory adaptive mesh-refining …
Approximating gradients with continuous piecewise polynomial functions
A Veeser - Foundations of Computational Mathematics, 2016 - Springer
Motivated by conforming finite element methods for elliptic problems of second order, we
analyze the approximation of the gradient of a target function by continuous piecewise …
analyze the approximation of the gradient of a target function by continuous piecewise …