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Multiscale Compression Algorithm for Solving Nonlinear Ill-Posed Integral Equations via Landweber Iteration
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In this paper, Landweber iteration with a relaxation factor is proposed to solve nonlinear ill-posed integral equations. A compression multiscale Galerkin method that retains the properties of the Landweber iteration is used to discretize the Landweber iteration. This method leads to the optimal convergence rates under certain conditions. As a consequence, we propose a multiscale compression algorithm to solve nonlinear ill-posed integral equations. Finally, the theoretical analysis is verified by numerical results.
Title: Multiscale Compression Algorithm for Solving Nonlinear Ill-Posed Integral Equations via Landweber Iteration
Description:
In this paper, Landweber iteration with a relaxation factor is proposed to solve nonlinear ill-posed integral equations.
A compression multiscale Galerkin method that retains the properties of the Landweber iteration is used to discretize the Landweber iteration.
This method leads to the optimal convergence rates under certain conditions.
As a consequence, we propose a multiscale compression algorithm to solve nonlinear ill-posed integral equations.
Finally, the theoretical analysis is verified by numerical results.
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