A modified truncation singular value decomposition method for solving ill-posed problems

A modified truncation singular value decomposition method for solving ill-posed problems

A modified truncated singular value decomposition method for solving ill-posed problems is presented in this paper, in which the solution has a slightly different form. Both theoretical and numerical results show that the limitations of the classical TSVD method have been overcome by the new method...

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Bibliographic Details
Main Authors: Zhenyu Zhao, Riguang Lin, Zehong Meng, Guoqiang He, Lei You, Yongxiong Zhou
Format: Article
Language:English
Published: SAGE Publishing 2018-11-01
Series:Journal of Algorithms & Computational Technology
Online Access:https://doi.org/10.1177/1748301818813609
Description
Summary:A modified truncated singular value decomposition method for solving ill-posed problems is presented in this paper, in which the solution has a slightly different form. Both theoretical and numerical results show that the limitations of the classical TSVD method have been overcome by the new method and very few additive computations are needed.
ISSN:1748-3026

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