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Representative Families: A Unified Tradeoff-Based Approach

机译:代表家庭:基于权衡的统一方法

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Let M = (E,I) be a matroid, and let S be a family of subsets of size p of E. A subfamily S is contained in S represents S if for every pair of sets X ∈ S and Y is contained in E X such that X∪Y ∈ I, there is a set X ∈ S disjoint from Y such that X ∈ Y ∈ I. Fomin et al. (Proc. ACM-SIAM Symposium on Discrete Algorithms, 2014) introduced a powerful technique for fast computation of representative families for uniform matroids. In this paper, we show that this technique leads to a unified approach for substantially improving the running times of parameterized algorithms for some classic problems. This includes, among others, k-Partial Cover, k-Internal Out-Branching, and Long Directed Cycle. Our approach exploits an interesting tradeoff between running time and the size of the representative families.
机译:令M =(E,I)为拟阵,令S为E的大小为p的子集的族。如果对于每对集合X∈S和Y都包含在E中,则S中包含的子族S表示S. \ X使得X∪Y∈I,存在与X不相交的X∈S集合,使得X∈Y∈I。 (ACM-SIAM离散算法专业研讨会,2014年)介绍了一种强大的技术,可快速计算均匀类阵的代表族。在本文中,我们证明了该技术导致了一种统一的方法,可以针对某些经典问题大幅提高参数化算法的运行时间。其中包括k部分覆盖,k内部内部分支和长定向周期。我们的方法在运行时间和代表性家庭的规模之间进行了有趣的权衡。

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