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JOURNALS // Avtomatika i Telemekhanika // Archive

Avtomat. i Telemekh., 2007 Issue 3, Pages 33–46 (Mi at951)

This article is cited in 2 papers

Deterministic Systems

Algorithms to solve some problems of concave programming with linear constraints

S. I. Sergeev

Moscow State University of Economics, Statistics and Informatics

Abstract: Consideration was given to the separable problem of concave programming with linear constraints for which two groups of new algorithms relying on a unique theoretical basis were proposed. The first group of (precise) algorithms approximates the optimal value of a functional from below, the second group of (mostly approximate) algorithms, does this from above.

PACS: 02.30.Yy, 07.05.Dz

Presented by the member of Editorial Board: B. T. Polyak

Received: 13.03.2006


 English version:
Automation and Remote Control, 2007, 68:3, 399–412

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© Steklov Math. Inst. of RAS, 2024