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.
作者
廖晓花
LIAO Xiaohua(College of Information Management,Minnan University of Science and Technology,Shishi Fujian 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
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
Large sparse linear algebraic equations
Universal iterative solution
Convergence
Convex optimization
Control
Maximum likelihood estimate