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带子矩阵约束的二次逆特征值问题的最小二乘埃尔米特广义斜哈密顿矩阵迭代解
引用本文:杨娇,杨吉,黄光鑫,尹凤.带子矩阵约束的二次逆特征值问题的最小二乘埃尔米特广义斜哈密顿矩阵迭代解[J].成都理工大学学报(自然科学版),2021,48(2):250-256.
作者姓名:杨娇  杨吉  黄光鑫  尹凤
作者单位:成都理工大学 数学地质四川省重点实验室 数理学院,成都 610059;四川轻化工大学 数学与统计学院,四川 自贡 643000
基金项目:四川省高校重点实验室开放基金项目;四川省科技厅项目
摘    要:针对带子矩阵约束的二次逆特征值问题的最小二乘埃尔米特广义斜哈密顿结构矩阵解问题,给出了一种共栀梯度迭代算法.首先提出了带子矩阵约束的二次逆特征值问题的最小二乘问题及其最佳逼近问题;然后分别给出了基于共轭梯度的迭代算法,证明了算法的收敛性.对于任意初始约束矩阵,在不存在舍入误差的情况下,用该迭代算法可以在有限步迭代中得到...

关 键 词:二次逆特征值问题  最佳逼近问题  埃尔米特广义斜哈密顿解  子矩阵约束

The least squares solutions of quadratic inverse eigenvalue problems with Hermitian and generalized Hamiltonian matrix under submatrix constraints
YANG Jiao,YANG Ji,HUANG Guangxin,YIN Feng.The least squares solutions of quadratic inverse eigenvalue problems with Hermitian and generalized Hamiltonian matrix under submatrix constraints[J].Journal of Chengdu University of Technology: Sci & Technol Ed,2021,48(2):250-256.
Authors:YANG Jiao  YANG Ji  HUANG Guangxin  YIN Feng
Institution:(Sichuan Key Laboratory of Geomathematics, College of Mathematics and Physics, Chengdu University of Technology, Chengdu 610059, China;School of Mathematics and Statistics, Sichuan University of Science & Engineering, Zigong 643000, China)
Abstract:An iterative algorithm for the solution of the quadratic inverse eigenvalue problem of band matrix constraint is proposed based on the least-squares Hermite generalized oblique Hamiltonian structure matrix.Firstly,the least squares problem and its optimal approximation problem for quadratic inverse eigenvalue problems with band matrix constraints are presented.Then the iterative algorithm based on conjugate gradient is given and the convergence of the algorithm is proved.For any initial constraint matrix,the iterative algorithm can obtain the iterative solution in finite step iteration without rounding error.Finally,a numerical example is given to demonstrate the effectiveness of the proposed algorithm.
Keywords:quadratic inverse eigenvalue problem  optimal approximation problem  Hermitian generalized skew-Hamiltonian solution  submatrix constraints
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