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  • 标题:Function Estimation Using A Data-Adaptive Laplacian Smoother.
  • 本地全文:下载
  • 作者:Gloria Simonetti ; Amal Azzam ; Carlos Zuppa
  • 期刊名称:Mecánica Computacional
  • 印刷版ISSN:2591-3522
  • 出版年度:2003
  • 卷号:XXII
  • 期号:16
  • 页码:1465-1473
  • 出版社:CIMEC-INTEC-CONICET-UNL
  • 摘要:In several applications of Nash iteration for solving nonlinear PDES, it is
    customary to use approximate smoothing, based on the solution of evolution equations
    with calibrated time steps. The aim of this work is to present a simple adaptive smoothing
    procedure based on the solutions of Dirichlet boundary-value problems. The smoother is
    an improvement of procedures used,among other applications, in optimization problems
    in image processing. This work presents a description of the method and some numerical
    tests. A simple nonlinear one dimensional PDE is solved using a Nash iteration scheme
    on order to ilustrate the use of this approximate smoothing.
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