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Titlebook: Integer Programming and Combinatorial Optimization; 19th International C Friedrich Eisenbrand,Jochen Koenemann Conference proceedings 2017

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楼主: Fruition
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Integrality Gaps of Integer Knapsack Problems,We obtain optimal lower and upper bounds for the (additive) integrality gaps of integer knapsack problems. In a randomised setting, we show that the integrality gap of a “typical” knapsack problem is drastically smaller than the integrality gap that occurs in a worst case scenario.
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978-3-319-59249-7Springer International Publishing AG 2017
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https://doi.org/10.1007/978-3-319-59250-3Approximation theory; Combinatorial optimization; Computational results; Integer programming; Linear pro
发表于 2025-3-31 01:48:34 | 显示全部楼层
,An Improved Integrality Gap for the Călinescu-Karloff-Rabani Relaxation for Multiway Cut,tance has an integrality ratio of ., for every constant .. For every ., this improves upon a long-standing lower bound of . by Freund and Karloff [.]. Due to the result by Manokaran et al. [.], our integrality gap also implies Unique Games hardness of approximating Multiway Cut of the same ratio.
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On Scheduling Coflows,-approximation and a randomized .-approximation algorithm. In this paper, we give a combinatorial algorithm that yields a deterministic 5-approximation algorithm with release times, and a deterministic 4-approximation for the case without release time.
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Mixed-Integer Linear Representability, Disjunctions, and Variable Elimination,vered by the Williams-Hooker scheme. Second, disjunctions of Chvátal systems can give sets that are . projections of mixed-integer linear sets; so the Williams-Hooker approach does not give an exact characterization of MILP representability.
发表于 2025-4-1 00:08:47 | 显示全部楼层
Deterministic Fully Dynamic Approximate Vertex Cover and Fractional Matching in ,(1) Amortized Updaf .. Our result can be generalized to give a fully dynamic .-approximation algorithm with . amortized update time for the hypergraph vertex cover and fractional matching problems, where every hyperedge has at most . vertices.
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