Optimal order yielding discrepancy principle for simplified regularization in Hilbert scales: finite-dimensional realizations

Simplified regularization using finite-dimensional approximations in the setting of Hilbert scales has been considered for obtaining stable approximate solutions to ill-posed operator equations. The derived error estimates using an a priori and a posteriori choice of parameters in relation to the no...

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Main Authors: Santhosh George, M. Thamban Nair
Format: Article
Language:English
Published: Wiley 2004-01-01
Series:International Journal of Mathematics and Mathematical Sciences
Online Access:http://dx.doi.org/10.1155/S0161171204306095
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author Santhosh George
M. Thamban Nair
author_facet Santhosh George
M. Thamban Nair
author_sort Santhosh George
collection DOAJ
description Simplified regularization using finite-dimensional approximations in the setting of Hilbert scales has been considered for obtaining stable approximate solutions to ill-posed operator equations. The derived error estimates using an a priori and a posteriori choice of parameters in relation to the noise level are shown to be of optimal order with respect to certain natural assumptions on the ill posedness of the equation. The results are shown to be applicable to a wide class of spline approximations in the setting of Sobolev scales.
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spelling doaj-art-3b8ab626702f4169a5f2ee31fa328ba92025-02-03T01:03:13ZengWileyInternational Journal of Mathematics and Mathematical Sciences0161-17121687-04252004-01-012004371973199610.1155/S0161171204306095Optimal order yielding discrepancy principle for simplified regularization in Hilbert scales: finite-dimensional realizationsSanthosh George0M. Thamban Nair1Department of Mathematics, Government College of Arts, Science and Commerce, Sanquelim, Goa 403505, IndiaDepartment of Mathematics, Indian Institute of Technology Madras, Chennai 600036, IndiaSimplified regularization using finite-dimensional approximations in the setting of Hilbert scales has been considered for obtaining stable approximate solutions to ill-posed operator equations. The derived error estimates using an a priori and a posteriori choice of parameters in relation to the noise level are shown to be of optimal order with respect to certain natural assumptions on the ill posedness of the equation. The results are shown to be applicable to a wide class of spline approximations in the setting of Sobolev scales.http://dx.doi.org/10.1155/S0161171204306095
spellingShingle Santhosh George
M. Thamban Nair
Optimal order yielding discrepancy principle for simplified regularization in Hilbert scales: finite-dimensional realizations
International Journal of Mathematics and Mathematical Sciences
title Optimal order yielding discrepancy principle for simplified regularization in Hilbert scales: finite-dimensional realizations
title_full Optimal order yielding discrepancy principle for simplified regularization in Hilbert scales: finite-dimensional realizations
title_fullStr Optimal order yielding discrepancy principle for simplified regularization in Hilbert scales: finite-dimensional realizations
title_full_unstemmed Optimal order yielding discrepancy principle for simplified regularization in Hilbert scales: finite-dimensional realizations
title_short Optimal order yielding discrepancy principle for simplified regularization in Hilbert scales: finite-dimensional realizations
title_sort optimal order yielding discrepancy principle for simplified regularization in hilbert scales finite dimensional realizations
url http://dx.doi.org/10.1155/S0161171204306095
work_keys_str_mv AT santhoshgeorge optimalorderyieldingdiscrepancyprincipleforsimplifiedregularizationinhilbertscalesfinitedimensionalrealizations
AT mthambannair optimalorderyieldingdiscrepancyprincipleforsimplifiedregularizationinhilbertscalesfinitedimensionalrealizations