Iterative algorithm for mathematical programming problems with preconvex constraints
Žurnal vyčislitelʹnoj matematiki i matematičeskoj fiziki, Tome 50 (2010) no. 5, pp. 832-835 Cet article a éte moissonné depuis la source Math-Net.Ru

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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.
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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