Least Squares Tridiagonal Solutions of A Series of Linear Matrix Equations with the Least Norm
Abstract：According to the geometrical characteristics of the Tridiagonal matrix, we derive the expressions of the least squares tridiagonal solutions of a series of linear matrix equations with the least norm by using Moore- Penrose generalized inverse and the Kronecker product of matrices. In addition, a numerical example is used to show the feasibility of the numerical method.
Keywords：tridiagonal matrixthe kronecker productMoore -Penrose generalized inverseleast norm solutionleast squares solution
Publication Date：2012-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 56-60 )