刊名:Computational Mathematics and Mathematical Physics
出版年:2016
出版时间:September 2016
年:2016
卷:56
期:9
页码:1523-1535
全文大小:323 KB
刊物类别:Mathematics and Statistics
刊物主题:Mathematics Computational Mathematics and Numerical Analysis Russian Library of Science
出版者:MAIK Nauka/Interperiodica distributed exclusively by Springer Science+Business Media LLC.
ISSN:1555-6662
卷排序:56
文摘
A group of iteratively regularized methods of Gauss–Newton type for solving irregular nonlinear equations with smooth operators in a Hilbert space under the condition of normal solvability of the derivative of the operator at the solution is considered. A priori and a posteriori methods for termination of iterations are studied, and estimates of the accuracy of approximations obtained are found. It is shown that, in the case of a priori termination, the accuracy of the approximation is proportional to the error in the input data. Under certain additional conditions, the same estimate is established for a posterior termination from the residual principle. These results generalize known similar estimates for linear equations with a normally solvable operator.
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