Numerical Algorithms For Solving The Least Squares Symmetric Problem Of Matrix Equation Axb Plus Cxd = E
FILOMAT(2019)
摘要
This paper focuses on the least squares symmetric problem of matrix equation AXB + CXD = E. The explicit expressions for least squares symmetric solution with the least norm of matrix equation AXB + CXD = E are derived. Numerical algorithms and numerical examples show the feasibility of our methods.
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关键词
Matrix equation, Least squares solution, Moore-Penrose generalized inverse, Kronecker product, symmetric matrices
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