An efficient algorithm for solving absolute value equations

IF 0.4 Q4 MATHEMATICS Journal of Mathematical Extension Pub Date : 2020-11-26 DOI:10.30495/JME.V0I0.1393
A. Fakharzadeh, N. Shams
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引用次数: 6

Abstract

Recently, absolute value equations (AVEs) are lied in theconsideration center of some researchers since they are very suitable al-ternatives for many frequently occurring optimization problems. There-fore, nding a fast solution method for these type of problems is verysignicant. In this paper, based on the mixed-type splitting (MTS) ideafor solving linear system of equations, a new fast algorithm for solvingAVEs is presented. This algorithm has two auxiliary matrices whichare limited to be nonnegative strictly lower triangular and nonnega-tive diagonal matrices. The convergence of the algorithm is discussedvia some theorems. In addition, it is shown that by suitable choice ofthe auxiliary matrices, the convergence rate of this algorithm is fasterthan that of the SOR, AOR, Generalized Newton, Picard and SOR-like methods. Eventually, some numerical results for dierent size ofproblem dimensionality are presented which admit the credibility of theproposed algorithm.
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求解绝对值方程的一种有效算法
最近,绝对值方程(AVE)被一些研究人员置于考虑的中心,因为它们非常适合于许多经常发生的优化问题。因此,找到一种快速解决这类问题的方法是非常重要的。本文基于求解线性方程组的混合型分裂(MTS)思想,提出了一种求解AVE的新的快速算法。该算法有两个辅助矩阵,它们被限制为非负严格下三角矩阵和非负对角矩阵。通过一些定理讨论了该算法的收敛性。此外,通过适当选择辅助矩阵,该算法的收敛速度快于SOR、AOR、广义牛顿、Picard和类SOR方法。最后,给出了问题维数较大时的一些数值结果,这些结果证明了该算法的可靠性。
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发文量
68
审稿时长
24 weeks
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