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Parameterized Complexity of d-Hitting Set with Quotas

机译:D-Piting Set的参数化复杂性带配额

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In this paper we study a variant of the classic d-HITTING SET problem with lower and upper capacity constraints, say A and B, respectively. The input to the problem consists of a universe U, a set family, j, of sets over U, where each set in the family is of size at most d, a non-negative integer k; and additionally two functions a: j → {1,…, A} and β: j → {1,…, B}. The goal is to decide if there exists a hitting set of size at most k such that for every set S in the family j, the solution contains at least α(S) elements and at most β(S) elements from S. We call this the (A, B)-MULTI d-HITTING SET problem. We study the problem in the realm of parameterized complexity. We show that (A, B)-MULTI d-HITTING SET can be solved in O*(d~k) time. For the special case when d = 3 and d = 4, we have an improved bound of O*(2.2738~k) and O*(3.562~k), respectively. The former matches the running time of the classical 3-HITTING SET problem. Furthermore, we show that if we do not have an upper bound constraint and the lower bound constraint is same for all the sets in the family, say A > 1, then the problem can be solved even faster than d-HITTING SET. We next investigate some graph-theoretic problems which can be thought of as an implicit d-HITTING SET problem. In particular, we study (A,B)-MULTI Vertex Cover and (A,B)-MULTI FEEDBACK VERTEX SET IN TOURNAMENTS. In (A, B)-MULTI VERTEX COVER, we are given a graph G and a non-negative integer k, the goal is to find a subset S ⊆ V(G) of size at most k such that for every edge in G, S contains at least A and at most B of its endpoints. Analogously, we can define (A, B)-MULTI FEEDBACK VERTEX SET IN TOURNAMENTS. We show that unlike VERTEX COVER, which is same as (1,2)-MULTI VERTEX COVER, (1,1)-MULTI VERTEX COVER is polynomial-time solvable. Furthermore, unlike FEEDBACK VERTEX SET IN TOURNAMENTS, (A, B)-MULTI FEEDBACK VERTEX SET IN TOURNAMENTS can be solved in polynomial time.
机译:在本文中,我们分别研究了具有较低和上部容量约束的经典D击中设定问题的变体,分别表示A和B.问题的输入包括一个Universe U,集合族,j,u的u,其中每个设置的大小为d尺寸d,一个非负整数k;另外还有两个功能A:J→{1,...,a}和β:J→{1,...,b}。目标是决定是否存在最多的次数的频率集,使得对于家庭J中的每个集合,该解决方案至少包含至少α(S)元素和来自S.的大多数β(S)元素这是(a,b)-multi d-pitting set问题。我们研究了参数化复杂性领域的问题。我们展示了(a,b)-multi d-piting集合可以在O *(d〜k)时间内解决。对于D = 3和D = 4时的特殊情况,我们分别有改进的O *(2.2738〜K)和O *(3.562〜k)的限制。前者匹配经典3击中设置问题的运行时间。此外,我们表明,如果我们没有上限约束,并且对于家庭中的所有集合都是相同的上限约束,则表示A> 1,那么问题可以比D-Piting集更快地解决。我们接下来调查一些可以被认为是隐式D击中设置问题的图形 - 理论问题。特别是,我们研究(a,b)-multi顶点封面和(a,b)-multi反馈顶点在锦标赛中设置。在(a,b)-multi顶点封面中,我们给出了图G和非负整数k,目标是找到大多数k的尺寸的子集S∈V(g),使得对于G中的每个边缘,S包含至少A和最多B的端点。类似地,我们可以在锦标赛中定义(a,b)-multi反馈顶点。我们表明,与顶点盖不同,它与(1,2)-Multi顶点盖板相同,(1,1)-Multi顶点盖是多项式时间可溶性。此外,与锦标赛中的反馈顶点不同,在锦标赛中设置的(a,b)-multi反馈顶点可以在多项式时间中解决。

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