Suchergebnisse - (abstract OR abstracts) computational complexity for mathematical programming problems

The Traveling Salesman Problem: A Computational Study von Applegate, David L, Bixby, Robert E, Chvátal, Vašek, Cook, William J

“… This book presents the latest findings on one of the most intensely investigated subjects in computational mathematics--the traveling salesman problem …”
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NP-hardness of deciding convexity of quartic polynomials and related problems von Ahmadi, Amir Ali, Olshevsky, Alex, Parrilo, Pablo A., Tsitsiklis, John N.

“… ) is globally convex. This solves a problem that has been open since 1992 when N. Z. Shor asked for the complexity of deciding convexity for quartic polynomials …”
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An abstract model for branching and its application to mixed integer programming von Le Bodic, Pierre, Nemhauser, George

“… The selection of branching variables is a key component of branch-and-bound algorithms for solving mixed-integer programming (MIP …”
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A comment on “computational complexity of stochastic programming problems” von Hanasusanto, Grani A., Kuhn, Daniel, Wiesemann, Wolfram

“… Although stochastic programming problems were always believed to be computationally challenging, this perception has only recently received a theoretical …”
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Computational complexity of stochastic programming problems von Dyer, Martin, Stougie, Leen

“… the theoretical complexity of a variety of stochastic programming problems studied in this literature …”
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Lower complexity bounds of first-order methods for convex-concave bilinear saddle-point problems von Ouyang, Yuyuan, Xu, Yangyang

“… On solving a convex-concave bilinear saddle-point problem (SPP), there have been many works studying the complexity results of first-order methods …”
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On the computational complexity of membership problems for the completely positive cone and its dual von Dickinson, Peter J. C., Gijben, Luuk

“… Copositive programming has become a useful tool in dealing with all sorts of optimisation problems …”
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Iteration complexity of inexact augmented Lagrangian methods for constrained convex programming von Xu, Yangyang

“… For these problems, we establish the global convergence rate of the inexact ALM and estimate its iteration complexity in terms of the number of gradient evaluations to produce a primal and/or primal …”
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A Study on the Computational Complexity of the Bilevel Knapsack Problem von Caprara, Alberto, Carvalho, Margarida, Lodi, Andrea, Woeginger, Gerhard J.

“… We analyze the computational complexity of three fundamental variants of the bilevel knapsack problem …”
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Two Projection Neural Networks With Reduced Model Complexity for Nonlinear Programming von Xia, Youshen, Wang, Jun, Guo, Wenzhong

“… ) for solving nonlinear programming (NP) problems. Compared with existing projection neural networks for solving NP, the proposed two RDPNNs have a low-dimensional state space and low model complexity …”
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Iteration complexity of randomized block-coordinate descent methods for minimizing a composite function von Richtarik, Peter, Takac, Martin

“… ), which cover the smooth case, to composite minimization, while at the same time improving the complexity by the factor of 4 and removing from the logarithmic term …”
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Extracting New Dispatching Rules for Multi-objective Dynamic Flexible Job Shop Scheduling with Limited Buffer Spaces von Teymourifar, Aydin, Ozturk, Gurkan, Ozturk, Zehra Kamisli, Bahadir, Ozan

“… times and machine breakdowns occur stochastically. Limited-buffer conditions are also considered, increasing the problem complexity …”
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Foundations of Software Science and Computation Structures: 24th International Conference, FOSSACS 2021, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2021, Luxembourg City, Luxembourg, March 27 - April 1, 2021, Proceedings von FOSSACS, Kiefer, Stefan, Tasson, Christine, European Conferences on Theory and Practice of Software

“… This open access book constitutes the proceedings of the 24th International Conference on Foundations of Software Science and Computational Structures, FOSSACS 2021, which was held during March 27 …”
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The Space of Interaction von Accattoli, Beniamino, Lago, Ugo Dal, Vanoni, Gabriele

“… The space complexity of functional programs is not well understood. In particular, traditional implementation techniques are tailored to time efficiency …”
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Fault-Tolerant Families of Production Plans: Mathematical Model, Computational Complexity, and Branch-and-Bound Algorithms von Ogorodnikov, Yu. Yu, Rudakov, R. A., Khachai, D. M., Khachai, M. Yu

“… The traditional approach to modeling such systems is based on the use of stochastic models that describe the choice of a possible scenario of actions in the event of problems in a production or transportation network …”
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Complexity of stochastic dual dynamic programming von Lan, Guanghui

“… In this paper, we first establish the number of iterations, i.e., iteration complexity, required by a basic dual dynamic programming method for solving single-scenario multi …”
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Bilevel programming and the separation problem von Lodi, Andrea, Ralphs, Ted K., Woeginger, Gerhard J.

“… This paper examines the nature of the so-called separation problem, which is that of generating a valid inequality violated by a given real vector, usually arising as the solution to a relaxation …”
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Iteration-complexity of first-order penalty methods for convex programming von Lan, Guanghui, Monteiro, Renato D. C.

“… under an affine transformation. It studies the computational complexity of quadratic penalty based methods for solving the above class of problems …”
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Universal gradient methods for convex optimization problems von Nesterov, Yu

“… Their only essential input parameter is the required accuracy of the solution. At the same time, for each particular problem class they automatically ensure the best possible rate of convergence …”
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Accelerated gradient methods for nonconvex nonlinear and stochastic programming von Ghadimi, Saeed, Lan, Guanghui

“… In this paper, we generalize the well-known Nesterov’s accelerated gradient (AG) method, originally designed for convex smooth optimization, to solve nonconvex and possibly stochastic optimization problems …”
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