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Journal of Siberian Federal University. Mathematics & Physics, 2013, Volume 6, Issue 4, Pages 506–515 (Mi jsfu334)  
This article is cited in 4 scientific papers (total in 4 papers)

Optimization problems with random data

Olga A. Popova

Institute of Space and Information Technology, Siberian Federal University, Kirenskogo, 26, Krasnoyarsk, 660074, Russia
Full-text PDF (228 kB) Citations (4)
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Abstract: The article discusses a new approach to optimization problems with random input parameters, which is defined as a random programming. This approach uses a numerical probability analysis and allows us to construct the set of solutions of the optimization problem based on the joint probability density function.
Keywords: numerical probabilistic analysis, random programming, mathematical programming.
Received: 10.05.2013
Received in revised form: 10.07.2013
Accepted: 20.09.2013
Document Type: Article
UDC: 519.4
Language: English
Citation: Olga A. Popova, “Optimization problems with random data”, J. Sib. Fed. Univ. Math. Phys., 6:4 (2013), 506–515
Citation in format AMSBIB
\Bibitem{Pop13}
\by Olga~A.~Popova
\paper Optimization problems with random data
\jour J. Sib. Fed. Univ. Math. Phys.
\yr 2013
\vol 6
\issue 4
\pages 506--515
\mathnet{http://mi.mathnet.ru/jsfu334}
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  • https://www.mathnet.ru/eng/jsfu/v6/i4/p506
    • This publication is cited in the following 4 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Журнал Сибирского федерального университета. Серия "Математика и физика"
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    References:38
     
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