Complexity Estimates for Severely Ill-posed Problems under A Posteriori Selection of Regularization Parameter

Complexity Estimates for Severely Ill-posed Problems under A Posteriori Selection of Regularization Parameter

In the article the authors developed two efficient algorithms for solving severely ill-posed problems such as Fredholm’s integral equations. The standard Tikhonov method is applied as a regularization. To select a regularization parameter we employ two different a posteriori rules, namely, discrepan...

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Bibliographic Details
Main Authors: Sergii G. Solodky, Ganna L. Myleiko, Evgeniya V. Semenova
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2017-05-01
Series:Mathematical Modelling and Analysis
Subjects:
severely ill-posed problem
complexity
Galerkin’s information
discrepancy principle
balancing principle
Online Access:https://journals.vgtu.lt/index.php/MMA/article/view/896

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