Works matching IS 00255610 AND DT 2016 AND VI 157 AND IP 1
Results: 12
A cross-decomposition scheme with integrated primal-dual multi-cuts for two-stage stochastic programming investment planning problems.
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- Mathematical Programming, 2016, v. 157, n. 1, p. 95, doi. 10.1007/s10107-016-1001-y
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- Article
Special issue on 'Integer programming under uncertainty'.
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- Mathematical Programming, 2016, v. 157, n. 1, p. 1, doi. 10.1007/s10107-016-1015-5
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- Article
Total variation bounds on the expectation of periodic functions with applications to recourse approximations.
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- Mathematical Programming, 2016, v. 157, n. 1, p. 3, doi. 10.1007/s10107-014-0829-2
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- Article
Decomposition algorithms for two-stage chance-constrained programs.
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- Mathematical Programming, 2016, v. 157, n. 1, p. 219, doi. 10.1007/s10107-014-0832-7
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- Article
Robust optimization approach for a chance-constrained binary knapsack problem.
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- Mathematical Programming, 2016, v. 157, n. 1, p. 277, doi. 10.1007/s10107-015-0931-0
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- Article
Chance-constrained problems and rare events: an importance sampling approach.
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- Mathematical Programming, 2016, v. 157, n. 1, p. 153, doi. 10.1007/s10107-015-0942-x
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- Article
Minimum cardinality non-anticipativity constraint sets for multistage stochastic programming.
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- Mathematical Programming, 2016, v. 157, n. 1, p. 69, doi. 10.1007/s10107-015-0970-6
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- Article
Cutting planes for the multistage stochastic unit commitment problem.
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- Mathematical Programming, 2016, v. 157, n. 1, p. 121, doi. 10.1007/s10107-015-0971-5
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- Article
On the mixing set with a knapsack constraint.
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- Mathematical Programming, 2016, v. 157, n. 1, p. 191, doi. 10.1007/s10107-016-0979-5
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- Article
Decomposition algorithms for optimizing multi-server appointment scheduling with chance constraints.
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- Mathematical Programming, 2016, v. 157, n. 1, p. 245, doi. 10.1007/s10107-016-0990-x
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- Article
Single-commodity robust network design with finite and Hose demand sets.
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- Mathematical Programming, 2016, v. 157, n. 1, p. 297, doi. 10.1007/s10107-016-0991-9
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- Article
Obtaining lower bounds from the progressive hedging algorithm for stochastic mixed-integer programs.
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- Mathematical Programming, 2016, v. 157, n. 1, p. 47, doi. 10.1007/s10107-016-1000-z
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- Article