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JOURNALS // Avtomatika i Telemekhanika // Archive

Avtomat. i Telemekh., 2012 Issue 2, Pages 111–125 (Mi at3615)

This article is cited 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.

Presented by the member of Editorial Board: A. I. Kibzun

Received: 06.06.2011


 English version:
Automation and Remote Control, 2012, 73:2, 310–322

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