PROJECTION METHOD FOR NEWTON-TIKHONOV REGULARIZATION FOR NON-LINEAR ILL-POSED HAMMERSTEIN TYPE OPERATOR EQUATIONS

2013 ◽  
Vol 83 (5) ◽  
Author(s):  
M.E. Shobha ◽  
S. George
Keyword(s):  
Projection Method ◽  
Tikhonov Regularization ◽  
Type Operator ◽  
Operator Equations ◽  
Non Linear ◽  
Ill Posed

scholarly journals Morozov’s Discrepancy Principle For The Tikhonov Regularization Of Exponentially Ill-Posed Problems

2008 ◽  
Vol 8 (1) ◽  
pp. 86-98 ◽  
Author(s):  
S.G. SOLODKY ◽  
A. MOSENTSOVA
Keyword(s):  
Tikhonov Regularization ◽  
Optimal Order ◽  
Discrepancy Principle ◽  
Operator Equations ◽  
Order Of Accuracy ◽  
Finite Dimensional ◽  
Dimensional Version ◽  
Ill Posed ◽  
Linear Operator Equations ◽  
Morozov’S Discrepancy Principle

Abstract The problem of approximate solution of severely ill-posed problems given in the form of linear operator equations of the first kind with approximately known right-hand sides was considered. We have studied a strategy for solving this type of problems, which consists in combinating of Morozov’s discrepancy principle and a finite-dimensional version of the Tikhonov regularization. It is shown that this combination provides an optimal order of accuracy on source sets

scholarly journals A two step newton type iteration for ill-posed Hammerstein type operator equations in Hilbert scales

2014 ◽  
Vol 26 (1) ◽  
pp. 91-116
Author(s):  
Monnanda Erappa Shobha ◽  
Santhosh George ◽  
M. Kunhanandan
Keyword(s):  
Type Operator ◽  
Operator Equations ◽  
Ill Posed
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