Discrepancy Sets for Combined Least Squares Projection and Tikhonov Regularization

To solve a linear ill-posed problem, a combination of the finite dimensional least squares projection method and the Tikhonov regularization is considered. The dimension of the projection is treated as the second parameter of regularization. A two-parameter discrepancy principle defines a discrepan...

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Bibliographic Details
Main Author: Teresa Reginska
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2017-03-01
Series:Mathematical Modelling and Analysis
Subjects:
Online Access:https://journals.vgtu.lt/index.php/MMA/article/view/889