Efficient variants of the CMRH method for solving a sequence of multi-shifted non-Hermitian linear systems simultaneously

被引:8
|
作者
Gu, Xian-Ming [1 ,2 ]
Huang, Ting-Zhu [3 ]
Carpentieri, Bruno [4 ]
Imakura, Akira [5 ]
Zhang, Ke [6 ]
Du, Lei [7 ]
机构
[1] Southwestern Univ Finance & Econ, Inst Math, Sch Econ Math, Chengdu 611130, Peoples R China
[2] Univ Groningen, Bernoulli Inst Math Comp Sci & Artificial Intelli, Nijenborgh 9,POB 407, NL-9700 AK Groningen, Netherlands
[3] Univ Elect Sci & Technol China, Sch Math Sci, Chengdu 611731, Peoples R China
[4] Free Univ Bozen Bolzano, Fac Comp Sci, Dominikanerpl 3 Piazza Domenicani 3, I-39100 Bozen Bolzano, Italy
[5] Univ Tsukuba, Grad Sch Syst & Informat Engn, 1-1-1 Tennodai, Tsukuba, Ibaraki 3058573, Japan
[6] Shanghai Maritime Univ, Coll Arts & Sci, Shanghai 201306, Peoples R China
[7] Dalian Univ Technol, Sch Math Sci, Dalian 116024, Peoples R China
关键词
Krylov subspace methods; Shifted linear systems; Hessenberg procedure; GMRES; Shifted CMRH methods; FDEs; FULL ORTHOGONALIZATION METHOD; RESTARTED GMRES; KRYLOV METHODS; Q-OR; ALGORITHM; IMPLEMENTATION; CONVERGENCE; FAMILIES; BICG;
D O I
10.1016/j.cam.2020.112788
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Multi-shifted linear systems with non-Hermitian coefficient matrices arise in numerical solutions of time-dependent partial/fractional differential equations (PDEs/FDEs), in control theory, PageRank problems, and other research fields. We derive efficient variants of the restarted Changing Minimal Residual method based on the cost-effective Hessenberg procedure (CMRH) for this problem class. Then, we introduce a flexible variant of the algorithm that allows to use variable preconditioning at each iteration to further accelerate the convergence of shifted CMRH. We analyse the performance of the new class of methods in the numerical solution of PDEs and FDEs, also against other multi-shifted Krylov subspace methods. (C) 2020 Elsevier B.V. All rights reserved.
引用
收藏
页数:16
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