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

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.

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

Bibliographic databases:

PACS: 02.30.Yy, 07.05.Dz
Presented by the member of Editorial Board: Б. Т. Поляк

Received: 13.03.2006

Citation: S. I. Sergeev, “Algorithms to solve some problems of concave programming with linear constraints”, Avtomat. i Telemekh., 2007, no. 3, 33–46; Autom. Remote Control, 68:3 (2007), 399–412

Citation in format AMSBIB
\Bibitem{Ser07}
\by S.~I.~Sergeev
\paper Algorithms to solve some problems of concave programming with linear constraints
\jour Avtomat. i Telemekh.
\yr 2007
\issue 3
\pages 33--46
\mathnet{http://mi.mathnet.ru/at951}
\mathscinet{http://www.ams.org/mathscinet-getitem?mr=2304107}
\zmath{https://zbmath.org/?q=an:1118.49025}
\transl
\jour Autom. Remote Control
\yr 2007
\vol 68
\issue 3
\pages 399--412
\crossref{https://doi.org/10.1134/S0005117907030034}
\scopus{http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-33947584386}


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