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Randomized algorithms for total least squares problems

  • Published:2018-10-05 Issue:1 Volume:26 Page:e2219
  • ISSN:1070-5325
  • Container-title:Numerical Linear Algebra with Applications
  • language:en
  • Short-container-title:Numer Linear Algebra Appl

Author:

Xie Pengpeng1,Xiang Hua2ORCID,Wei Yimin3ORCID

Affiliation:

1. School of Mathematical Sciences; Ocean University of China; Qingdao 266100 China

2. School of Mathematics and Statistics; Wuhan University; Wuhan 430072 China

3. Key Laboratory of Mathematics for Nonlinear Sciences; Fudan University; Shanghai 200433 China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

NSFC-RGC(China-Hong Kong)

Science and Technology Commission of Shanghai Municipality

Publisher

Wiley

Subject

Applied Mathematics,Algebra and Number Theory

Cited by 25 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Quantum-inspired algorithm for truncated total least squares solution;Journal of Computational and Applied Mathematics;2024-12

2. Regularized and Structured Tensor Total Least Squares Methods with Applications;Journal of Optimization Theory and Applications;2024-08-12

3. Randomized GCUR decompositions;Advances in Computational Mathematics;2024-07-18

4. A randomized block Douglas–Rachford method for solving linear matrix equation;Calcolo;2024-07-06

5. Higher Order Extended Dynamic Mode Decomposition Based on the Structured Total Least Squares;SIAM Journal on Scientific Computing;2023-04-28
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