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Titlebook: Integer Programming and Combinatorial Optimization; 15th International C Oktay Günlük,Gerhard J. Woeginger Conference proceedings 2011 The

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0302-9743 Conference on Integer Programming and Combinatorial Optimization, IPCO 2011, held in New York, USA in June 2011. The 33 papers presented were carefully reviewed and selected from 110 submissions. The conference is a forum for researchers and practitioners working on various aspects of integer progr
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Conference proceedings 2011ew York, USA in June 2011. The 33 papers presented were carefully reviewed and selected from 110 submissions. The conference is a forum for researchers and practitioners working on various aspects of integer programming and combinatorial optimization with the aim to present recent developments in th
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An Excluded Minor Characterization of Seymour Graphs, circuit . of . the necessary condition |. ∩ .| ≤ |. ∖ .| is satisfied. Seymour graphs behave well with respect to some integer programs including multiflow problems, or more generally odd cut packings, and are closely related to matching theory..A first coNP characterization of Seymour graphs has b
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A Probabilistic Analysis of the Strength of the Split and Triangle Closures,h of the split and triangle cuts of RCP’s. Basu et al. showed examples where the split closure can be arbitrarily worse than the triangle closure under a ‘worst-cost’ type of measure. However, despite experiments carried out by several authors, the usefulness of triangle cuts in practice has fallen
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Partial Convexification of General MIPs by Dantzig-Wolfe Reformulation,he method is not implemented in any state-of-the-art MIP solver: it needs tailoring to the particular problem; the decomposition must be determined from the typical bordered block-diagonal matrix structure; the resulting column generation subproblems must be solved efficiently; etc. We provide a com
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TSP on Cubic and Subcubic Graphs,interest because of its relation to the famous 4/3 conjecture for metric TSP, which says that the integrality gap, i.e., the worst case ratio between the optimal values of the TSP and its linear programming relaxation, is 4/3. Using polyhedral techniques in an interesting way, we obtain a polynomial
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Facility Location with Client Latencies: Linear Programming Based Techniques for Minimum Latency Pr to be opened to serve clients and also need to be sequentially activated before they can provide service. Formally, we are given a set . of . facilities with facility-opening costs . ., a set . of . clients, connection costs . . specifying the cost of assigning a client . to a facility ., a root no
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