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Three-step alternating iterations for index 1 and non-singular matrices

机译:索引1和非奇异矩阵的三步交替迭代

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Iterative methods based on matrix splittings are useful in solving large sparse linear systems. In this direction, proper splittings and its several extensions are used to deal with singular and rectangular linear systems. In this article, we introduce a new iteration scheme called three-step alternating iterations using proper splittings and group inverses to find an approximate solution of singular linear systems, iteratively. As a special case, the same findings also work for finding an approximate solution of non-singular linear systems. A preconditioned alternating iterative scheme is also proposed to relax some sufficient conditions and to obtain faster convergence as well. We then show that our scheme converges faster than the unpreconditioned one. The theoretical findings are then validated numerically.
机译:基于矩阵分离的迭代方法可用于求解大稀疏线性系统。 在此方向上,使用适当的分裂和其几个延伸来处理奇异和矩形线性系统。 在本文中,我们介绍了一种新的迭代方案,使用适当的分裂和组逆转,以找到奇异线性系统的近似解。 作为一个特殊情况,相同的发现还可以用于找到非奇异线性系统的近似解。 还提出了一种预处理的交替迭代方案,以放宽一些足够的条件并获得更快的收敛性。 然后,我们表明我们的计划会收敛于未伸展的方案。 然后在数字上验证理论发现。

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