The Least Squares Hermitian (Anti)reflexive Solution with the Least Norm to Matrix Equation AXB=C
Keyword(s):
For a given generalized reflection matrix J, that is, JH=J, J2=I, where JH is the conjugate transpose matrix of J, a matrix A∈Cn×n is called a Hermitian (anti)reflexive matrix with respect to J if AH=A and A=±JAJ. By using the Kronecker product, we derive the explicit expression of least squares Hermitian (anti)reflexive solution with the least norm to matrix equation AXB=C over complex field.
2011 ◽
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pp. 190-194
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2018 ◽
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pp. 2001-2010
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2012 ◽
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pp. 1752-1760
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2008 ◽
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2013 ◽
Vol 219
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pp. 10293-10301
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