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机构地区:[1]School of Data and Computer Science,Xiamen Institute of Technology,Xiamen 361021,P.R.China [2]School of Mathematics and Statistics,Fujian Normal University,Fuzhou 350117,P.R.China
出 处:《Communications in Mathematical Research》2024年第3期261-274,共14页数学研究通讯(英文版)
基 金:supported by the National Natural Science Foundation of China (Grant 12371378);by the Natural Science Foundation of Fujian Province (Grant 2023J011127).
摘 要:Recently,Yu et al.presented a modified fixed point iterative(MFPI)method for solving large sparse absolute value equation(AVE).In this paper,we consider using accelerated overrelaxation(AOR)splitting to develop the modified fixed point iteration(denoted by MFPI-JS and MFPI-GSS)methods for solving AVE.Furthermore,the convergence analysis of the MFPI-JS and MFPI-GSS methods for AVE are also studied under suitable restrictions on the iteration parameters,and the functional equation between the parameter T and matrix Q.Finally,numerical examples show that the MFPI-JS and MFPI-GSS are efficient iteration methods.
关 键 词:Absolute value equation modified point iteration convergence analysis numerical experiment
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