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求一类矩阵方程组的最小二乘行对称解及其最佳逼近的迭代法 被引量:1

An Iterative Method for the Least Squares Row Symmetric Solution of a Class of the Matrix Equations and Its Optimal Approximation
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摘要 本文构造了求矩阵方程组AX=B,XC=D的最小二乘行对称解及其最佳逼近的迭代法,研究了迭代序列的性质,证明了算法的收敛性。 In this paper,an algorithm is constructed to solve the least squares row symmetric solution of the matrix equations AX=B,XC=D and its optimal approximation.Some properties of the iterative sequence have been derived,and the method has been shown to preserve convergence properties.
作者 胡荣 张磊
机构地区 湖南大学
出处 《数学理论与应用》 2010年第4期118-121,共4页 Mathematical Theory and Applications
基金 国家自然科学基金资助项目(No.10571047)资助
关键词 迭代法 梯度矩阵 行对称解 Algorithm Gradient matrix Row symmetric solution
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