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Avtomatika i Telemekhanika, 2012, Issue 2, Pages 111–125
(Mi at3615)
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This article is cited in 26 scientific papers (total in 26 papers)
Linear and Nonlinear Programming
Solvability of interval linear equations and data analysis under uncertainty
S. P. Shary Institute of Computational Technologies, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia
Abstract:
Consideration was given to the problem of recognizing the solvability (nonemptiness of the solution set) of an interval systems of linear equations. A method based on the so-called recognizing functional of the solution set was proposed to solve it. A new approach to data processing under interval uncertainty based on the unconstrained maximization of the recognizing functional (“maximal consistency method”) was presented as an application, and its informal interpretations were described.
Citation:
S. P. Shary, “Solvability of interval linear equations and data analysis under uncertainty”, Avtomat. i Telemekh., 2012, no. 2, 111–125; Autom. Remote Control, 73:2 (2012), 310–322
Linking options:
https://www.mathnet.ru/eng/at3615 https://www.mathnet.ru/eng/at/y2012/i2/p111
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Abstract page: | 588 | Full-text PDF : | 229 | References: | 70 | First page: | 30 |
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