Least squares solutions to the equations AX=B,XC=D with some constraints
作者:
Highlights:
•
摘要
The least squares solutions to the equations AX=B,XC=D with some constraints such as orthogonality, symmetric orthogonality, symmetric idempotence are considered. By one time singular value decomposition or eigenvalue decomposition of the matrix product generated by the coefficient matrices A,C and right hand side matrices B,D, the constrained solutions are constructed simply. Similar strategy is applied to the equations with corresponding P-commuting constraints with given symmetric matrix P. Numerical examples that show the efficiency of the proposed methods are presented.
论文关键词:Least squares solutions,Singular value decomposition,Eigenvalue decomposition,Matrix product,Constrained solutions
论文评审过程:Available online 7 August 2008.
论文官网地址:https://doi.org/10.1016/j.amc.2008.07.035