一类非奇异H-矩阵的细分迭代判别算法
Subdivision Iterative Discriminant Algorithm for a Class of Nonsingular H-Matrix
DOI: 10.12677/AAM.2022.118531, PDF,    国家自然科学基金支持
作者: 董 杰, 庹 清*, 谢智慧:吉首大学数学与统计学院,湖南 吉首
关键词: 非奇异H-矩阵细分迭代判别算法收敛性Nonsingular H-Matrix Subdivision Iterative Discriminant Algorithm Convergence
摘要: 非奇异H-矩阵是一类应用广泛的特殊矩阵,在许多领域都发挥着重要作用。本文就非奇异H-矩阵的判定问题,利用细分区间和迭代系数构造正对角矩阵因子,得到了一类非奇异H-矩阵的细分迭代判别新条件。在此基础上,又相应给出了一组含参数 的判定非奇异H-矩阵的细分迭代算法,并证明了其收敛性,推广与改进了近期的一些结果。最后,用数值算例说明了该算法的优越性。
Abstract: Nonsingular H-matrices are a kind of special matrices which are widely used in many fields. In this paper, we consider the problem of determining nonsingular H-matrices, construct a positive diago-nal matrix factor by using the subdivision interval and iterative coefficient, and obtain a new condi-tion for determining the subdivision iteration of a class of nonsingular H-matrices. On this basis, a set of subdivision iterative algorithms for determining nonsingular H-matrices with parameters are given, and their convergence is proved. Some recent results are extended and improved. Finally, numerical examples are used to illustrate the superiority of the algorithm.
文章引用:董杰, 庹清, 谢智慧. 一类非奇异H-矩阵的细分迭代判别算法[J]. 应用数学进展, 2022, 11(8): 5062-5073. https://doi.org/10.12677/AAM.2022.118531

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