Title:
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Strong $\mathbf {X}$-robustness of interval max-min matrices (English) |
Author:
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Myšková, Helena |
Author:
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Plavka, Ján |
Language:
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English |
Journal:
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Kybernetika |
ISSN:
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0023-5954 (print) |
ISSN:
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1805-949X (online) |
Volume:
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57 |
Issue:
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4 |
Year:
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2021 |
Pages:
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594-612 |
Summary lang:
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English |
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Category:
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math |
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Summary:
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In max-min algebra the standard pair of operations plus and times is replaced by the pair of operations maximum and minimum, respectively. A max-min matrix $A$ is called strongly robust if the orbit $x,A\otimes x, A^2\otimes x,\dots$ reaches the greatest eigenvector with any starting vector. We study a special type of the strong robustness called the strong \textit{\textbf{X}}-robustness, the case that a starting vector is limited by a lower bound vector and an upper bound vector. The equivalent condition for the strong \textit{\textbf{X}}-robustness is introduced and efficient algorithms for verifying the strong \textit{\textbf{X}}-robustness is described. The strong \textit{\textbf{X}}-robustness of a max-min matrix is extended to interval vectors \textit{\textbf{X}} and interval matrices \textit{\textbf{A}} using for-all-exists quantification of their interval and matrix entries. A complete characterization of AE/EA strong \textit{\textbf{X}}-robustness of interval circulant matrices is presented. (English) |
Keyword:
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max-min algebra |
Keyword:
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interval matrix |
Keyword:
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strong robustness |
Keyword:
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AE(EA) robustness |
MSC:
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15A18 |
MSC:
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15A80 |
MSC:
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93C55 |
idZBL:
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Zbl 07478630 |
idMR:
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MR4332883 |
DOI:
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10.14736/kyb-2021-4-0594 |
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Date available:
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2021-11-04T12:54:39Z |
Last updated:
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2022-02-24 |
Stable URL:
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http://hdl.handle.net/10338.dmlcz/149210 |
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