相关期刊:《Journal of Applied Mathematics and Physics》《模糊系统与数学》《Numerical Mathematics(Theory,Methods and Applications)》《Analysis in Theory and Applications》更多>>
Guangdong Province Key Laboratory of Computational Science at the Sun Yat-sen University(2020B1212060032);Key Laboratory of Jiangxi Province for Numerical Simulation and Emulation Techniques(400440);the Foundation of Education Committee of Jiangxi,China(GJJ201436);National Natural Science Foundation of China under grants 11571386 and 11761010.
To reduce the computational cost,we propose a regularizing modified LevenbergMarquardt scheme via multiscale Galerkin method for solving nonlinear ill-posed problems.Convergence results for the regularizing modified L...
supported in part by the Natural Science Foundation of China under grants 10371137;the Foundation of Doctoral Program of National Higher Education of China under grant 20030558008;Guangdong Provincial Natural Science Foundation of China under grant 05003308;the Foundation of Zhongshan University Advanced Research Center;supported in part by the US National Science Foundation under grant CCR-0407476;National Aeronautics and Space Administration under Cooperative Agreement NNX07AC37A;the Natural Science Foundation of China under grants 10371122 and 10631080;the Education Ministry of the People's Republic of China under the Changjiang Scholar Chair Professorship Program through Zhongshan University
We consider solving linear ill-posed operator equations. Based on a multi-scale decomposition for the solution space, we propose a multi-parameter regularization for solving the equations. We establish weak and strong...
In this paper we propose a kind of implicit iterative methods for solving ill-posed operator equations and discuss the properties of the methods in the case that the control parameter is fixed. The theoretical results...