Iterative algorithm for mathematical programming problems with preconvex constraints
Žurnal vyčislitelʹnoj matematiki i matematičeskoj fiziki, Tome 50 (2010) no. 5, pp. 832-835
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An iterative algorithm is proposed for minimizing a convex function on a set defined as the set-theoretic difference between a convex set and the union of several convex sets. The convergence of the algorithm is proved in terms of necessary conditions for a local minimum.
@article{ZVMMF_2010_50_5_a3,
author = {T. F. Minnibaev and Yu. A. Chernyaev},
title = {Iterative algorithm for mathematical programming problems with preconvex constraints},
journal = {\v{Z}urnal vy\v{c}islitelʹnoj matematiki i matemati\v{c}eskoj fiziki},
pages = {832--835},
year = {2010},
volume = {50},
number = {5},
language = {ru},
url = {http://geodesic.mathdoc.fr/item/ZVMMF_2010_50_5_a3/}
}
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%0 Journal Article %A T. F. Minnibaev %A Yu. A. Chernyaev %T Iterative algorithm for mathematical programming problems with preconvex constraints %J Žurnal vyčislitelʹnoj matematiki i matematičeskoj fiziki %D 2010 %P 832-835 %V 50 %N 5 %U http://geodesic.mathdoc.fr/item/ZVMMF_2010_50_5_a3/ %G ru %F ZVMMF_2010_50_5_a3
T. F. Minnibaev; Yu. A. Chernyaev. Iterative algorithm for mathematical programming problems with preconvex constraints. Žurnal vyčislitelʹnoj matematiki i matematičeskoj fiziki, Tome 50 (2010) no. 5, pp. 832-835. http://geodesic.mathdoc.fr/item/ZVMMF_2010_50_5_a3/
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[2] Chernyaev Yu. A., “Dva metoda minimizatsii vypuklykh funktsii na klasse nevypuklykh mnozhestv”, Zh. vychisl. matem. i matem. fiz., 48:10 (2008), 1802–1811 | MR | Zbl