Adaptive frame methods for elliptic operator equations

被引:0
|
作者
Stephan Dahlke
Massimo Fornasier
Thorsten Raasch
机构
[1] Philipps-Universität Marburg,FB 12 Mathematik und Informatik
[2] Università “La Sapienza” in Roma,Dipartimento di Metodi e Modelli Matematici per le Scienze Applicate
来源
关键词
operator equations; multiscale methods; adaptive algorithms; domain decomposition; sparse matrices; overdetermined systems; Banach frames; norm equivalences; Banach spaces; 41A25; 41A46; 42C15; 42C40; 46E35; 65F10; 65F20; 65F50; 65N12; 65N55; 65T60;
D O I
暂无
中图分类号
学科分类号
摘要
This paper is concerned with the development of adaptive numerical methods for elliptic operator equations. We are especially interested in discretization schemes based on frames. The central objective is to derive an adaptive frame algorithm which is guaranteed to converge for a wide range of cases. As a core ingredient we use the concept of Gelfand frames which induces equivalences between smoothness norms and weighted sequence norms of frame coefficients. It turns out that this Gelfand characteristic of frames is closely related to their localization properties. We also give constructive examples of Gelfand wavelet frames on bounded domains. Finally, an application to the efficient adaptive computation of canonical dual frames is presented.
引用
下载
收藏
页码:27 / 63
页数:36
相关论文
共 50 条
  • [1] Adaptive frame methods for elliptic operator equations
    Dahlke, Stephan
    Fornasier, Massimo
    Raasch, Thorsten
    ADVANCES IN COMPUTATIONAL MATHEMATICS, 2007, 27 (01) : 27 - 63
  • [2] Adaptive frame methods for elliptic operator equations: the steepest descent approach
    Dahlke, Stephan
    Raasch, Thorsten
    Werner, Manuel
    Fornasier, Massimo
    Stevenson, Rob
    IMA JOURNAL OF NUMERICAL ANALYSIS, 2007, 27 (04) : 717 - 740
  • [3] Adaptive Galerkin frame methods for solving operator equations
    Hemmat, A. Askari
    Jamali, H.
    UPB Scientific Bulletin, Series A: Applied Mathematics and Physics, 2011, 73 (02): : 129 - 138
  • [4] ADAPTIVE GALERKIN FRAME METHODS FOR SOLVING OPERATOR EQUATIONS
    Hemmat, A. Askari
    Jamali, H.
    UNIVERSITY POLITEHNICA OF BUCHAREST SCIENTIFIC BULLETIN-SERIES A-APPLIED MATHEMATICS AND PHYSICS, 2011, 73 (02): : 129 - 138
  • [5] Adaptive wavelet methods for elliptic operator equations with nonlinear terms
    Xu, YS
    Zou, QS
    ADVANCES IN COMPUTATIONAL MATHEMATICS, 2003, 19 (1-3) : 99 - 146
  • [6] Adaptive wavelet methods for elliptic operator equations: Convergence rates
    Cohen, A
    Dahmen, W
    Devore, R
    MATHEMATICS OF COMPUTATION, 2001, 70 (233) : 27 - 75
  • [7] Adaptive Wavelet Methods for Elliptic Operator Equations with Nonlinear Terms
    Yuesheng Xu
    Qingsong Zou
    Advances in Computational Mathematics, 2003, 19 : 99 - 146
  • [8] Adaptive wavelet frame domain decomposition methods for nonlinear elliptic equations
    Lellek, Dominik
    NUMERICAL METHODS FOR PARTIAL DIFFERENTIAL EQUATIONS, 2013, 29 (01) : 297 - 319
  • [9] Adaptive frame methods for nonlinear elliptic problems
    Kappei, Jens
    APPLICABLE ANALYSIS, 2011, 90 (08) : 1323 - 1353
  • [10] Elliptic Quadratic Operator Equations
    Ganikhodzhaev, Rasul
    Mukhamedov, Farrukh
    Saburov, Mansoor
    ACTA APPLICANDAE MATHEMATICAE, 2019, 159 (01) : 29 - 74