Solutions to 18 constrained optimization problems on the rank and inertia of the linear matrix function A+BXB
The inertia of a Hermitian matrix is defined to be a triplet composed by the numbers of the positive, negative and zero eigenvalues of the matrix counted with multiplicities, respectively. If we take the inertia and rank of a Hermitian matrix as objective functions, then they are neither differentia...
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Published in | Mathematical and computer modelling Vol. 55; no. 3-4 p.955-968; pp. 955 - 968 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
01.02.2012
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Subjects | |
Online Access | Get full text |
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