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Tensor product-type methods for solving Sylvester tensor equations

delete2023-11-01
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PRE
AI
J
Jing Niu *
T
Tomohiro Sogabe
L
Lei Du
T
Tomoya Kemmochi
S
Shao‐Liang Zhang
DOI:10.1016/j.amc.2023.128155delete
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摘要

摘要

En 中文
The tensor biconjugate gradient (TBiCG) method has recently been proposed for solving Sylvester tensor equations. The TBiCG method is based on the BiCG method that may exhibit irregular convergence behavior. To overcome the limitations, product-type methods, such as BiCGSTAB and GPBiCG, have been proposed. In this study, we apply the idea of product-type methods to solve Sylvester tensor equations and propose tensor GPBiCG and BiCGSTAB methods. Furthermore, we consider preconditioned algorithms of the tensor GPBiCG and BiCGSTAB methods using the nearest Kronecker product preconditioner. Numerical experiments illustrate that the proposed methods are competitive with some existing methods. & COPY; 2023 Elsevier Inc. All rights reserved.
Keyword:
Sylvester tensor equations
Product-type methods
Nearest Kronecker product

期刊

Applied Mathematics and Computation 封面图
Applied Mathematics and Computation
IF:
3.4
论文数:
2.3W
被引数:
3.3W

机构

N
Nagoya University
学者数:
3.3W
论文数: 2.5W
被引数: 2.6W
D
Dalian University of Technology
学者数:
6.0W
论文数: 4.4W
被引数: 5.5W
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