z-logo
open-access-imgOpen Access
A Flexible Global GCRO-DR Method for Shifted Linear Systems and General Coupled Matrix Equations
Author(s) -
Jing Meng,
XianMing Gu,
WeiHua Luo,
Liang Fang
Publication year - 2021
Publication title -
journal of mathematics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.252
H-Index - 13
eISSN - 2314-4785
pISSN - 2314-4629
DOI - 10.1155/2021/5589582
Subject(s) - mathematics , generalized minimal residual method , krylov subspace , computation , numerical analysis , focus (optics) , closeness , linear system , subspace topology , matrix (chemical analysis) , limiting , mathematical optimization , algorithm , iterative method , mathematical analysis , mechanical engineering , physics , materials science , optics , composite material , engineering
In this paper, we mainly focus on the development and study of a new global GCRO-DR method that allows both the flexible preconditioning and the subspace recycling for sequences of shifted linear systems. The novel method presented here has two main advantages: firstly, it does not require the right-hand sides to be related, and, secondly, it can also be compatible with the general preconditioning. Meanwhile, we apply the new algorithm to solve the general coupled matrix equations. Moreover, by performing an error analysis, we deduce that a much looser tolerance can be applied to save computation by limiting the flexible preconditioned work without sacrificing the closeness of the computed and the true residuals. Finally, numerical experiments demonstrate that the proposed method illustrated can be more competitive than some other global GMRES-type methods.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom