1997Inverse ProblemsRequires access

On the choice of the regularization parameter for ordinary and iterated Tikhonov regularization of nonlinear ill-posed problems

Qinian Jin, Zongyi Hou

Open publisher page 21 citations

Abstract

The authors consider the ordinary and iterated Tikhonov regularization for solving nonlinear ill-posed problems, and propose a strategy for choosing the regularization parameter. Under certain conditions, the authors obtain the convergence and convergence rates of the ordinary and iterated Tikhonov regularized solutions.

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What this paper is about

The authors consider the ordinary and iterated Tikhonov regularization for solving nonlinear ill-posed problems, and propose a strategy for choosing the regularization parameter. Under certain conditions, the authors obtain the convergence and convergence rates of the ordinary and iterated Tikhonov regularized solutions.

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OpenAlex reports 21 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The authors consider the ordinary and iterated Tikhonov regularization for solving nonlinear ill-posed problems, and propose a strategy for choosing the regularization parameter. Under certain conditions, the authors obtain the convergence and convergence rates of the ordinary and iterated Tikhonov regularized solutions.

Key concepts: Tikhonov regularization, Mathematics, Iterated function, Regularization (linguistics), Backus–Gilbert method, Regularization perspectives on support vector machines, Applied mathematics, Nonlinear system

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