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Lasserre Integrality Gaps for Graph Spanners and Related Problems

机译:图扳手的Lasserre完整性缺口及相关问题

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There has been significant recent progress on algorithms for approximating graph spanners, i.e., algorithms which approximate the best spanner for a given input graph. Essentially all of these algorithms use the same basic LP relaxation, so a variety of papers have studied the limitations of this approach and proved integrality gaps for this LP. We extend these results by showing that even the strongest lift-and-project methods cannot help significantly, by proving polynomial integrality gaps even for n~(Ω(ε)) levels of the Lasserre hierarchy, for both the directed and undirected spanner problems. We also extend these integrality gaps to related problems, notably DIRECTED STEINER NETWORK AND SHALLOW-LIGHT STEINER NETWORK.
机译:最近,在近似图扳手的算法方面取得了重大进展,即对于给定的输入图,近似最佳扳手的算法。本质上,所有这些算法都使用相同的基本LP松弛,因此许多论文研究了这种方法的局限性,并证明了这种LP的完整性缺口。我们扩展了这些结果,证明了对于有向和无向扳手问题,即使对于Lasserre层次的n~(Ω(ε))级,即使是最强大的提升和投影方法也不能显著地帮助我们。我们还将这些完整性缺口扩展到相关问题,特别是有向STEINER网络和浅光STEINER网络。

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