On the Kaczmarz methods based on relaxed greedy selection for solving matrix equation <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e4288" altimg="si2.svg"><mml:mrow><mml:mi>A</mml:mi><mml:mi>X</mml:mi><mml:mi>B</mml:mi><mml:mo linebreak="goodbreak" linebreakstyle="after">=</mml:mo><mml:mi>C</mml:mi></mml:mrow></mml:math>-Reference-Cited by-同舟云学术

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On the Kaczmarz methods based on relaxed greedy selection for solving matrix equation AXB=C

Published:2022-10 Issue: Volume:413 Page:114374
ISSN:0377-0427
Container-title:Journal of Computational and Applied Mathematics
language:en
Short-container-title:Journal of Computational and Applied Mathematics

Author:

Wu Nian-Ci,Liu Cheng-Zhi,Zuo Qian

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hunan Province

South-Central University of Nationalities

Fundamental Research Funds for the Central Universities

South-Central University for Nationalities

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Mathematics

Reference42 articles.

1. Survey on geometric iterative methods and their applications;Lin;Comput. Aided Des.,2018

2. Weighted progressive iteration approximation and convergence analysis;Lu;Comput. Aided Geom. Design,2010

3. Kronecker products, unitary matrices and signal processing applications;Regalia;SIAM Rev.,1989

4. Computational methods for linear matrix equations;Simoncini;SIAM Rev.,2016

5. On the symmetric solutions of linear matrix equations;Dai;Linear Algebra Appl.,1990

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