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Diskretnyi Analiz i Issledovanie Operatsii, 2012, Volume 19, Issue 6, Pages 72–98 (Mi da713)  

This article is cited in 3 scientific papers (total in 3 papers)

Decomposition of underdetermined data

L. A. Sholomov

Institute of System Analysis RAS, Moscow, Russia
Full-text PDF (369 kB) Citations (3)
References:
Abstract: For any underdetermined source in general form, we consider its decomposition as product of sources generating symbols 0, 1, and the indefinite symbol $*$. Also, we learn best approximate (in a prescribed sense) decomposition if correct decomposition is impossible. It is proved that the best approximate decomposition always exists and is unique up to some equivalence (for the decomposable source, it coincides with its decomposition). A polynomial algorithm to construct the approximate decomposition is proposed. Several problems related to simplifications and equivalent transformations of decompositions are studied. For them, some polynomial algorithms are proposed. Tabl. 4, bibliogr. 8.
Keywords: underdetermined source, information equivalence, decomposition, lower approximation, polynomial algorithm.
Received: 16.01.2012
Revised: 09.04.2012
English version:
Journal of Applied and Industrial Mathematics, 2013, Volume 7, Issue 1, Pages 100–116
DOI: https://doi.org/10.1134/S1990478913010109
Bibliographic databases:
Document Type: Article
UDC: 519.728
Language: Russian
Citation: L. A. Sholomov, “Decomposition of underdetermined data”, Diskretn. Anal. Issled. Oper., 19:6 (2012), 72–98; J. Appl. Industr. Math., 7:1 (2013), 100–116
Citation in format AMSBIB
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\pages 72--98
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\jour J. Appl. Industr. Math.
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\pages 100--116
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  • https://www.mathnet.ru/eng/da/v19/i6/p72
  • This publication is cited in the following 3 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Дискретный анализ и исследование операций
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    Abstract page:352
    Full-text PDF :103
    References:39
    First page:4
     
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