This article presents a fast convergent method of iterated regularization based on the idea of Landweber iterated regularization, and a method for a-posteriori choice by the Morozov discrepancy principle and the optim...
This work was supported by the research program of College of Arts and Science of Beijing Union University and SRF for ROCS,SEM.
The adaptive regularization method is first proposed by Ryzhikov et al. for the deconvolution in elimination of multiples. This method is stronger than the Tikhonov regularization in the sense that itis adaptive, i.e....
Project supported by the National Natural Science Foundation of China.
The method of iterated Tikhonov regularization with perturbed operators and noisy data for solving operators equations of the first kind is investigated. The rates of convergence of regularization approximation are ac...
Let X and Y be real Hilbert spaces and A: X→Y be a bounded linear operator with nonclosed range R(A). If y∈ D(A^+)=R(A)+R(A)~⊥, there exists a unique Moore-Penrose generalized solution to the equation Ax=y. In prac...
This letter deals with the regularization problem of the singular integral equations on characteristic manifold mainly by the transformation formula and the estimate formulae of singular integrals obtained previously.