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Titlebook: Integer Programming and Combinatorial Optimization; 18th International C Quentin Louveaux,Martin Skutella Conference proceedings 2016 Sprin

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On Approximation Algorithms for Concave Mixed-Integer Quadratic Programming,ed algorithm is polynomial in the size of the problem and in ., provided that the number of integer variables and the number of negative eigenvalues of the objective function are fixed. The running time of the proposed algorithm is expected unless ..
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Rescaled Coordinate Descent Methods for Linear Programming, von Neumann’s algorithm, and rescaling steps. In both cases, either the updating step leads to a substantial decrease in the norm, or we can infer that the condition measure is small and rescale in order to improve the geometry. We also show how the algorithms can be extended to find a solution of
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Approximating Min-Cost Chain-Constrained Spanning Trees: A Reduction from Weighted to Unweighted Pr devise the . polytime algorithm that finds a spanning tree that (i) violates the degree constraints by at most a constant factor . (ii) whose cost is within a constant factor of the optimum. Previously, only an algorithm for . CCST was known [.], which satisfied (i) but did not yield any cost bound
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Max-Cut Under Graph Constraints, The objective is to find a subset . of vertices satisfying some graph-based constraint in . that maximizes the weight . of edges in the cut .. The types of graph constraints we can handle include independent set, vertex cover, dominating set and connectivity..Our main results are for the case when
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,-Trails: Recognition, Complexity, and Approximations,describe graphs that are homomorphic images of connected graphs of degree at most .. First results highlight several interesting advantages of .-trails compared to previous routing approaches. However, so far, only little is known regarding computational aspects of .-trails..In this work we aim to f
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