Article ID Journal Published Year Pages File Type
4634234 Applied Mathematics and Computation 2008 9 Pages PDF
Abstract

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.

Related Topics
Physical Sciences and Engineering Mathematics Applied Mathematics
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