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An Iterative method for the Symmetric Solutions of the Linear Matrix Equations with Several Variables

机译:多变量线性矩阵方程对称解的迭代方法

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In this paper, we consider an iterative method to find the symmetric solutions of the linear matrix equations with several variables and its convergence by applying the conjugate gradient method of solving linear algebraic equations and using special transformation and approximate disposal. Then we give the symmetric solution with least norm by choosing a special initial matrix. Moreover, an iterative algorithm is given for it and the numerical examples show that the algorithm is quite efficient.
机译:在本文中,我们考虑采用迭代方法,通过应用求解线性代数方程的共轭梯度法,并采用特殊的变换和近似处理,来找到具有多个变量的线性矩阵方程的对称解及其收敛性。然后,通过选择特殊的初始矩阵,给出具有最小范数的对称解。此外,给出了一种迭代算法,数值算例表明该算法是有效的。

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