大型稀疏线性代数方程组的通用性迭代解法  

The universal iterative method for the large sparse linear algebraic equations

作　　者：廖晓花[1] LIAO Xiaohua(College of Information Management,Minnan University of Science and Technology,Shishi Fujian 362700)

机构地区：[1]闽南理工学院信息管理学院,福建石狮362700

出　　处：《宁夏师范学院学报》2021年第1期11-15,共5页Journal of Ningxia Normal University

摘　　要：通过复变函数分析方法分析了大型稀疏线性代数方程组的解特征向量,采用模糊加权控制方法对方程组进行了重构.根据最大似然估计和最小二乘估计的结果,实现了大型稀疏线性代数方程组的通用性迭代解的优化求解.The complex function analysis method is used to analyze the solution eigenvector of large sparse linear algebraic equations,and the fuzzy weighted control method is used to reconstruct the equations.According to the results of maximum likelihood estimation and double estimation,the general iterative solution of large sparse linear algebraic equations is optimized.

关 键 词：大型稀疏线性代数方程组 通用性迭代解 收敛性 凸优化 最大似然估计 

分 类 号：O241.6[理学—计算数学]