Works matching IS 00255610 AND DT 2015 AND VI 152 AND IP 1/2
Results: 22
Attraction of Newton method to critical Lagrange multipliers: fully quadratic case.
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- Mathematical Programming, 2015, v. 152, n. 1/2, p. 33, doi. 10.1007/s10107-014-0777-x
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Conditional gradient algorithms for norm-regularized smooth convex optimization.
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- Mathematical Programming, 2015, v. 152, n. 1/2, p. 75, doi. 10.1007/s10107-014-0778-9
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A new warmstarting strategy for the primal-dual column generation method.
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- Mathematical Programming, 2015, v. 152, n. 1/2, p. 113, doi. 10.1007/s10107-014-0779-8
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Sufficiency of cut-generating functions.
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- Mathematical Programming, 2015, v. 152, n. 1/2, p. 643, doi. 10.1007/s10107-014-0780-2
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Efficient cost-sharing mechanisms for prize-collecting problems.
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- Mathematical Programming, 2015, v. 152, n. 1/2, p. 147, doi. 10.1007/s10107-014-0781-1
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On the geometric rank of matching polytope.
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- Mathematical Programming, 2015, v. 152, n. 1/2, p. 189, doi. 10.1007/s10107-014-0782-0
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An adaptive augmented Lagrangian method for large-scale constrained optimization.
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- Mathematical Programming, 2015, v. 152, n. 1/2, p. 201, doi. 10.1007/s10107-014-0784-y
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Assigning sporadic tasks to unrelated machines.
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- Mathematical Programming, 2015, v. 152, n. 1/2, p. 247, doi. 10.1007/s10107-014-0786-9
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Evaluating policies in risk-averse multi-stage stochastic programming.
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- Mathematical Programming, 2015, v. 152, n. 1/2, p. 275, doi. 10.1007/s10107-014-0787-8
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Zero-convex functions, perturbation resilience, and subgradient projections for feasibility-seeking methods.
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- Mathematical Programming, 2015, v. 152, n. 1/2, p. 339, doi. 10.1007/s10107-014-0788-7
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Generalized decision rule approximations for stochastic programming via liftings.
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- Mathematical Programming, 2015, v. 152, n. 1/2, p. 301, doi. 10.1007/s10107-014-0789-6
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Universal gradient methods for convex optimization problems.
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- Mathematical Programming, 2015, v. 152, n. 1/2, p. 381, doi. 10.1007/s10107-014-0790-0
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A framework of discrete DC programming by discrete convex analysis.
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- Mathematical Programming, 2015, v. 152, n. 1/2, p. 435, doi. 10.1007/s10107-014-0792-y
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Globally convergent evolution strategies.
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- Mathematical Programming, 2015, v. 152, n. 1/2, p. 467, doi. 10.1007/s10107-014-0793-x
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On the convergence and worst-case complexity of trust-region and regularization methods for unconstrained optimization.
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- Mathematical Programming, 2015, v. 152, n. 1/2, p. 491, doi. 10.1007/s10107-014-0794-9
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Extreme point inequalities and geometry of the rank sparsity ball.
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- Mathematical Programming, 2015, v. 152, n. 1/2, p. 521, doi. 10.1007/s10107-014-0795-8
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Sandwich games.
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- Mathematical Programming, 2015, v. 152, n. 1/2, p. 545, doi. 10.1007/s10107-014-0796-7
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A generalization of Löwner-John's ellipsoid theorem.
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- Mathematical Programming, 2015, v. 152, n. 1/2, p. 559, doi. 10.1007/s10107-014-0798-5
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A nonlinear semidefinite optimization relaxation for the worst-case linear optimization under uncertainties.
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- Mathematical Programming, 2015, v. 152, n. 1/2, p. 593, doi. 10.1007/s10107-014-0799-4
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On the complexity analysis of randomized block-coordinate descent methods.
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- Mathematical Programming, 2015, v. 152, n. 1/2, p. 615, doi. 10.1007/s10107-014-0800-2
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An augmented Lagrangian method for distributed optimization.
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- Mathematical Programming, 2015, v. 152, n. 1/2, p. 405, doi. 10.1007/s10107-014-0808-7
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Distributionally robust multi-item newsvendor problems with multimodal demand distributions.
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- Mathematical Programming, 2015, v. 152, n. 1/2, p. 1, doi. 10.1007/s10107-014-0776-y
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