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Zhurnal Vychislitel'noi Matematiki i Matematicheskoi Fiziki, 2018, Volume 58, Number 5, Pages 821–833
DOI: https://doi.org/10.7868/S0044466918050113 (Mi zvmmf10739) 		 
This article is cited in 1 scientific paper (total in 1 paper)

Numerical methods for computing plausibility and belief distributions of consequences of a subjective model of object of research

D. A. Balakin

Department of PhysicsMoscow State University, Moscow, Russia
Citations (1)
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DOI: https://doi.org/10.7868/S0044466918050113
Abstract: Numerical methods for computing plausibility and belief distributions of consequences of a subjective model are considered. More precisely, related constrained optimization problems are studied. Error estimates of the proposed algorithms are obtained. Techniques for taking into account the information about the consequence available to the researcher for improving the accuracy of computations are discussed.
Key words: constrained optimization, global optimization, subjective modeling, plausibility, belief.
Funding agency Grant number
Russian Foundation for Basic Research 14-07-00441_а
Received: 27.02.2017
English version:
Computational Mathematics and Mathematical Physics, 2018, Volume 58, Issue 5, Pages 790–802
DOI: https://doi.org/10.1134/S0965542518050032
Bibliographic databases:
Document Type: Article
UDC: 519.72
Language: Russian
Citation: D. A. Balakin, “Numerical methods for computing plausibility and belief distributions of consequences of a subjective model of object of research”, Zh. Vychisl. Mat. Mat. Fiz., 58:5 (2018), 821–833; Comput. Math. Math. Phys., 58:5 (2018), 790–802
Citation in format AMSBIB
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    • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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