Journal of Computational and Applied Mathematics2022,Vol.40414.DOI:10.1016/j.cam.2021.113868

Global Hessenberg and CMRH methods for a class of complex matrix equations

Gu, Ying Song, Yongzhong
Journal of Computational and Applied Mathematics2022,Vol.40414.DOI:10.1016/j.cam.2021.113868

Global Hessenberg and CMRH methods for a class of complex matrix equations

Gu, Ying 1Song, Yongzhong2
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作者信息

  • 1. Suqian Coll
  • 2. Nanjing Normal Univ
  • 折叠

Abstract

In this paper, we study how to use Hessenberg-based methods to solve a class of complex matrix equations, which is a general form of many known equations. A generalized global Hessenberg process is presented to construct the basis of complex matrix space. This process requires less work and storage because the basis it uses has more zero components. Then global Hessenberg (Gl-Hess) and global CMRH (Gl-CMRH) methods are proposed, which can be directly realized by the original coefficient matrices. The convergence of the Gl-CMRH method is analyzed. Numerical experiments show the efficiency of the methods and compare them with existing methods. (C) 2021 Elsevier B.V. All rights reserved.

Key words

Complex matrix equations/Generalized global Hessenberg process/Global Hessenberg method/Global CMRH method/LINEAR-SYSTEMS/ITERATIVE ALGORITHMS/GMRES ALGORITHMS/CONJUGATE/FOM

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出版年

2022
Journal of Computational and Applied Mathematics

Journal of Computational and Applied Mathematics

EISCI
ISSN:0377-0427
参考文献量22
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