Geodesic
Minimizing sequences in problems with d.c. constraints
Žurnal vyčislitelʹnoj matematiki i matematičeskoj fiziki, Tome 45 (2005) no. 3, pp. 435-447 Cet article a éte moissonné depuis la source Math-Net.Ru

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Nonconvex optimization problems with a single inequality constraint given by the difference of two convex functions (i.e., by a d.c. function) are considered. Such problems may have many local solutions and stationary points that are far (in terms of, say, the value of the objective function) from a global solution. Necessary and sufficient conditions are proved for minimizing sequences in these problems. A global search strategy is proposed that is based on these conditions and uses classical methods of optimization. Its global convergence is proved. 
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A. S. Strekalovskii. Minimizing sequences in problems with d.c. constraints. Žurnal vyčislitelʹnoj matematiki i matematičeskoj fiziki, Tome 45 (2005) no. 3, pp. 435-447. http://geodesic.mathdoc.fr/item/ZVMMF_2005_45_3_a8/

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