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On Least Squares Solutions of Matrix Equation MZN=S
School of Mathematics and Science, Shijiazhuang University of Economics, Shijiazhuang, China
School of Mathematics and Science, Shijiazhuang University of Economics, Shijiazhuang, China
School of Mathematics and Science, Shijiazhuang University of Economics, Shijiazhuang, China
- 1 School of Mathematics and Science, Shijiazhuang University of Economics, Shijiazhuang, China
- 2 School of Mathematics and Science, Shijiazhuang University of Economics, Shijiazhuang, China
- 3 School of Mathematics and Science, Shijiazhuang University of Economics, Shijiazhuang, China
Advances in Linear Algebra & Matrix Theory·Volume 03 (2013)·Pages 47–49·Published 6 December 2013·DOI10.4236/alamt.2013.34009
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Abstract
Let be a given Hermitian matrix satisfying . Using the eigenvalue decomposition of , we consider the least squares solutions to the matrix equation , with the constraint .
KeywordsMatrix EquationEigenvalue DecompositionCanonical Correlation DecompositionReflexive MatrixLeast Squares Solution
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