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Resultats globals: 4 registres trobats en 0.01 segons.
Articles, 4 registres trobats
Articles 4 registres trobats  
1.
26 p, 871.8 KB A branch and bound method for stochastic global optimization / Norkin, Vladimir I. ; Pflug, Georg Ch. ; Ruszczynski, Andrzej
A stochastic branch and bound method for solving stochastic global optimization problems is proposed. As in the deterministic case, the feasible set is partitioned into compact subsets. To guide the partitioning process the method uses stochastic upper and lower estimates of the optimal value of the objective function in each subset. [...]
1998
Mathematical Programming, vol. 83 n. 3 (1998) p. 425-450  
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2.
21 p, 1.1 MB Decomposition methods in stochastic programming / Ruszczynski, Andrzej
Stochastic programming problems have very large dimension and characteristic structures which are tractable by decomposition. We review basic ideas of cutting plane methods, augmented Lagrangian and splitting methods, and stochastic decomposition methods for convex polyhedral multi-stage stochastic programming problems. [...]
1997
Mathematical Programming, vol. 79 n. 1-3 (1997) p. 333-353  
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3.
20 p, 827.4 KB Constraint aggregation principle in convex optimization / Ermoliev, Yuri M. ; Kryazhimskii, Arkadii V. ; Ruszczynski, Andrzej
A general constraint aggregation technique is proposed for convex optimization problems. At each iteration a set of convex inequalities and linear equations is replaced by a single surrogate inequality formed as a linear combination of the original constraints. [...]
1997
Mathematical Programming, vol. 76 n. 3 (1997) p. 353-372  
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4.
2 p, 128.6 KB Computational Nonsmooth Optimization / Qi, Liqun ; Ruszczynski, Andrzej ; Womersley, Robert
1997
Mathematical Programming, vol. 76 n. 3 (1997) p. 351-352  
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Registre complet -

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