An apriori parameter choice strategy and a fifth order iterative scheme for Lavrentiev regularization method
DOI10.1007/s12190-022-01782-3OpenAlexW4295008454MaRDI QIDQ2700151
Publication date: 20 April 2023
Published in: Journal of Applied Mathematics and Computing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s12190-022-01782-3
Contraction-type mappings, nonexpansive mappings, (A)-proper mappings, etc. (47H09) Existence of optimal solutions belonging to restricted classes (Lipschitz controls, bang-bang controls, etc.) (49J30) Numerical methods for integral transforms (65R10) Numerical solutions to equations with linear operators (65J10) Linear operators and ill-posed problems, regularization (47A52)
Cites Work
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- Increasing the order of convergence for iterative methods to solve nonlinear systems
- Semilocal convergence analysis of an iteration of order five using recurrence relations in Banach spaces
- An analysis of Lavrentiev regularization method and Newton type process for nonlinear ill-posed problems
- An a posteriori parameter choice for simplified regularization of ill- posed problems
- A derivative-free iterative method for nonlinear ill-posed equations with monotone operators
- Lavrentiev regularization and balancing principle for solving ill-posed problems with monotone operators
- On convergence of regularized modified Newton's method for nonlinear ill-posed problems
- ITERATED LAVRENTIEV REGULARIZATION FOR NONLINEAR ILL-POSED PROBLEMS
- Factors influencing the ill-posedness of nonlinear problems
- On the method of Lavrentiev regularization for nonlinear ill-posed problems
- Regularized Versions of Continuous Newton's Method and Continuous Modified Newton's Method Under General Source Conditions
- A Quadratic Convergence Yielding Iterative Method for Nonlinear Ill-posed Operator Equations
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