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MATHEMATICS
Solving nonlinear inverse problems based on the regularized modified Gauss–Newton method
V. V. Vasinab a N.N. Krasovskii Institute of Mathematics and Mechanics, Ural Branch of the Russian Academy of Sciences, Ekaterinburg
b Ural Federal University named after the First President of Russia B. N. Yeltsin, Ekaterinburg
Abstract:
A nonlinear operator equation is investigated in the case when the Hadamard correctness conditions are violated. A two-stage method is proposed for constructing a stable method for solving the equation. It includes modified Tikhonov regularization and a modified iterative Gauss–Newton process for approximating the solution of the regularized equation. The convergence of the iterations and the strong Fejér property of the process are proved. An order optimal estimate for the error of the two-stage method is established in the class of sourcewise representable functions.
Keywords:
ill-posed problem, modified Tikhonov method, modified Gauss–Newton method.
Received: 11.01.2022 Revised: 28.03.2022 Accepted: 01.04.2022
Citation:
V. V. Vasin, “Solving nonlinear inverse problems based on the regularized modified Gauss–Newton method”, Dokl. RAN. Math. Inf. Proc. Upr., 504 (2022), 47–50; Dokl. Math., 105:3 (2022), 175–177
Linking options:
https://www.mathnet.ru/eng/danma263 https://www.mathnet.ru/eng/danma/v504/p47
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Abstract page: | 130 | References: | 23 |
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