Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4638401 | Journal of Computational and Applied Mathematics | 2015 | 13 Pages |
Abstract
Tikhonov regularization and truncated singular value decomposition (TSVD) are two elementary techniques for solving a least squares problem from a linear discrete ill-posed problem. Based on these two techniques, a modified regularization method is proposed, which is applied to an Arnoldi-based hybrid method. Theoretical analysis and numerical examples are presented to illustrate the effectiveness of the method.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Xiao-Juan Yang, Li Wang,