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pro vyhledávání: '"Mays, Nathaniel"'
Autor:
Mays, Nathaniel, Zhong, Ming
We propose and analyze an iterative refinement of a modified Lavrentiev regularization method for deconvolution of the discrete Helmholtz-type differential filter. The modification for the Lavrentiev regularization method exploits the properties of t
Externí odkaz:
http://arxiv.org/abs/1801.08913
Autor:
Mays, Nathaniel
Typical inverse problems are ill-posed which frequently leads to difficulties in calculating numerical solutions. A common approximation method to solve ill-posed inverse problems is iterated Tikhonov-Lavrentiev regularization. We examine iterated Ti
Publikováno v:
ESAIM: Mathematical Modelling & Numerical Analysis (ESAIM: M2AN). May2014, Vol. 48 Issue 3, p765-793. 29p.
Publikováno v:
Repositório Institucional da UFRGS
Universidade Federal do Rio Grande do Sul (UFRGS)
instacron:UFRGS
Universidade Federal do Rio Grande do Sul (UFRGS)
instacron:UFRGS
We present a general theory for regularization models of the Navier-Stokes equations based on the Leray deconvolution model with a general deconvolution operator designed to fit a few important key properties. We provide examples of this type of oper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::bfeadeefe6119db44fbb38a4d90d1cd6