A discrete regularization method for Ill-posed operator equations

被引：1

作者：

Nair M.T. ^{[1
]}

机构：

[1] Department of Mathematics, I.I.T. Madras, Chennai

来源：

The Journal of Analysis | 2017年 / 25卷 / 2期

关键词：

Collocation; Ill-Posed; Interpolatory projection; Minimal norm solution; Nyström approximation; Operator equations; Tikhonov regularization;

D O I：

10.1007/s41478-017-0047-4

中图分类号：

学科分类号：

摘要：

Discrete regularization methods are often applied for obtaining stable approximate solutions for ill-posed operator equations Tx= y, where T: X→ Y is a bounded operator between Hilbert spaces with non-closed range R(T) and y∈ R(T). Most of the existing such methods involve finite rank bounded projection operators on either the domain space X or on codomain space Y or on both. In this paper, we propose a discrete regularization based on finite rank projection-like operators on some subspace of the codomain space such that their ranges need not be subspaces of the codomain space. This method not only incudes some of the exisiting projection based methods but also a quadrature based collocation method considered by the author Nair (Quadrature based collocation method for integral equations of the first kind, Advances in Computational Mathematics, 2011) for integral equations of the first kind. © 2017, Forum D'Analystes, Chennai.

引用

页码：253 / 266

页数：13

共 11 条

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