An optimal order yielding discrepancy principle for simplified regularization of ill-posed problems in Hilbert scales

Recently, Tautenhahn and Hämarik (1999) have considered a monotone rule as a parameter choice strategy for choosing the regularization parameter while considering approximate solution of an ill-posed operator equation Tx=y, where T is a bounded linear operator between Hilbert spaces. Motivated by th...

Full description

Saved in:
Bibliographic Details
Main Authors: Santhosh George, M. Thamban Nair
Format: Article
Language:English
Published: Wiley 2003-01-01
Series:International Journal of Mathematics and Mathematical Sciences
Online Access:http://dx.doi.org/10.1155/S0161171203203197
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832554201686736896
author Santhosh George
M. Thamban Nair
author_facet Santhosh George
M. Thamban Nair
author_sort Santhosh George
collection DOAJ
description Recently, Tautenhahn and Hämarik (1999) have considered a monotone rule as a parameter choice strategy for choosing the regularization parameter while considering approximate solution of an ill-posed operator equation Tx=y, where T is a bounded linear operator between Hilbert spaces. Motivated by this, we propose a new discrepancy principle for the simplified regularization, in the setting of Hilbert scales, when T is a positive and selfadjoint operator. When the data y is known only approximately, our method provides optimal order under certain natural assumptions on the ill-posedness of the equation and smoothness of the solution. The result, in fact, improves an earlier work of the authors (1997).
format Article
id doaj-art-14ea7c9b3f1640349689ebadda6a2fd0
institution Kabale University
issn 0161-1712
1687-0425
language English
publishDate 2003-01-01
publisher Wiley
record_format Article
series International Journal of Mathematics and Mathematical Sciences
spelling doaj-art-14ea7c9b3f1640349689ebadda6a2fd02025-02-03T05:52:06ZengWileyInternational Journal of Mathematics and Mathematical Sciences0161-17121687-04252003-01-012003392487249910.1155/S0161171203203197An optimal order yielding discrepancy principle for simplified regularization of ill-posed problems in Hilbert scalesSanthosh George0M. Thamban Nair1Department of Mathematics, Government College, Sanquelim, Goa 403505, IndiaDepartment of Mathematics, Indian Institute of Technology, Madras, Chennai 600 036, IndiaRecently, Tautenhahn and Hämarik (1999) have considered a monotone rule as a parameter choice strategy for choosing the regularization parameter while considering approximate solution of an ill-posed operator equation Tx=y, where T is a bounded linear operator between Hilbert spaces. Motivated by this, we propose a new discrepancy principle for the simplified regularization, in the setting of Hilbert scales, when T is a positive and selfadjoint operator. When the data y is known only approximately, our method provides optimal order under certain natural assumptions on the ill-posedness of the equation and smoothness of the solution. The result, in fact, improves an earlier work of the authors (1997).http://dx.doi.org/10.1155/S0161171203203197
spellingShingle Santhosh George
M. Thamban Nair
An optimal order yielding discrepancy principle for simplified regularization of ill-posed problems in Hilbert scales
International Journal of Mathematics and Mathematical Sciences
title An optimal order yielding discrepancy principle for simplified regularization of ill-posed problems in Hilbert scales
title_full An optimal order yielding discrepancy principle for simplified regularization of ill-posed problems in Hilbert scales
title_fullStr An optimal order yielding discrepancy principle for simplified regularization of ill-posed problems in Hilbert scales
title_full_unstemmed An optimal order yielding discrepancy principle for simplified regularization of ill-posed problems in Hilbert scales
title_short An optimal order yielding discrepancy principle for simplified regularization of ill-posed problems in Hilbert scales
title_sort optimal order yielding discrepancy principle for simplified regularization of ill posed problems in hilbert scales
url http://dx.doi.org/10.1155/S0161171203203197
work_keys_str_mv AT santhoshgeorge anoptimalorderyieldingdiscrepancyprincipleforsimplifiedregularizationofillposedproblemsinhilbertscales
AT mthambannair anoptimalorderyieldingdiscrepancyprincipleforsimplifiedregularizationofillposedproblemsinhilbertscales
AT santhoshgeorge optimalorderyieldingdiscrepancyprincipleforsimplifiedregularizationofillposedproblemsinhilbertscales
AT mthambannair optimalorderyieldingdiscrepancyprincipleforsimplifiedregularizationofillposedproblemsinhilbertscales