Continuous regularization of nonlinear ill-posed problems
R.Airapetyan, A.G.Ramm, A.Smirnova

TL;DR
This paper introduces a general continuous regularization method for nonlinear ill-posed problems, demonstrating convergence to solutions and providing application examples and theoretical proofs.
Contribution
It develops a novel continuous regularization approach for nonlinear ill-posed problems with proven convergence and practical application examples.
Findings
Convergence theorems established for the regularization method
Method successfully approximates solutions of nonlinear ill-posed problems
Applications demonstrate effectiveness of the approach
Abstract
A general method for solving nonlinear ill-posed problems is developed. The method consists of solving a Cauchy problem with a regularized operator and proving that the solution of this problem tends, as time grows, to a solution of the original nonlinear stationary problem. Examples of applications of the general method are given. Convergence theorems are proved.
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Taxonomy
TopicsNumerical methods in inverse problems · Statistical and numerical algorithms · Heat Transfer and Mathematical Modeling
