Splitting methods for tensor equations

Autor: Hong-Ru Xu, Dong-Hui Li, Shui-Lian Xie
Rok vydání: 2017
Předmět:
Zdroj: Numerical Linear Algebra with Applications. 24:e2102
ISSN: 1070-5325
DOI: 10.1002/nla.2102
Popis: Summary The Jacobi, Gauss-Seidel and successive over-relaxation methods are well-known basic iterative methods for solving system of linear equations. In this paper, we extend those basic methods to solve the tensor equation Axm−1−b=0, where A is an mth-order n−dimensional symmetric tensor and b is an n-dimensional vector. Under appropriate conditions, we show that the proposed methods are globally convergent and locally r-linearly convergent. Taking into account the special structure of the Newton method for the problem, we propose a Newton-Gauss-Seidel method, which is expected to converge faster than the above methods. The proposed methods can be extended to solve a general symmetric tensor equations. Our preliminary numerical results show the effectiveness of the proposed methods.
Databáze: OpenAIRE