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Rank constrained matrix best approximation problem with respect to (skew) Hermitian matrices

  • Published:2017-08 Issue: Volume:319 Page:77-86
  • ISSN:0377-0427
  • Container-title:Journal of Computational and Applied Mathematics
  • language:en
  • Short-container-title:Journal of Computational and Applied Mathematics

Author:

Liu Xifu,Li Wen,Wang Hongxing

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangxi Province

Science and Technology project of Jiangxi Provincial Education Department

Project of Department of Education of Guangdong Province

Anhui provincial natural science foundation

Postdoctoral Science Foundation of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Mathematics

Reference29 articles.

1. The smallest perturbation of a submatrix which lowers the rank and constrained total least squares problems;Demmel;SIAM J. Numer. Anal.,1987

2. A generalization of the Eckart-Young-Mirsky matrix approximation theorem;Golub;Linear Algebra Appl.,1987

3. Low Rank Approximation: Algorithms, Implementation, Applications;Markovsky,2012

4. Software for weighted structured low-rank approximation;Markovsky;J. Comput. Appl. Math.,2014

5. On the generalized matrix approximation problems in the spectral norm;Sou;Linear Algebra Appl.,2012

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