The minimum degree Group Steiner problem

The minimum degree Group Steiner problem
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最小度斯坦纳群问题

DOI:
10.1016/j.dam.2021.12.003
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发表时间:
2022
影响因子:
1.1
通讯作者:
Nutov, Zeev
Nutov, Zeev
中科院分区:
数学3区
文献类型:
--
作者:
Kortsarz, Guy;Nutov, Zeev

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给定一个无向图G (V, E),一个群集合S={S i} i= 1 q, S i≥≥1 q, S i≥≥≥≥1个顶点的树,使得最大度最小。这个问题是由在线算法Hajiaghayi(2016)激发的,并且在VLSI设计和快速广播中有应用。在WDB-GST问题中,每个顶点v都有单独的度界dv,每个e∈e都有一个代价c (e) >0 0。目标是找到一棵树,在每一组中至少包含一个终端,使得对于每一个v, d eg T (v)≤d v,并且在这样的树中找到代价最小的一个。我们给出了这个问题的第一个近似值,一个(O (log 2 n), O (log 2 n))双标准近似值比的WDB-GST问题在树的输入。这意味着DB-GST在树输入上的近似为O (log 2 n)。以前最著名的关于树木WDB-GST问题的比率是一个双标准(O (log 2n), O (log 3n))(度的近似值是O (log 3n))比率,这是民间传说。得到O (log 2n)近似值需要仔细的案例分析,这是未知的。我们关于WDB-GST的结果概括了Garg等人(2016)的经典结果,该结果将成本近似为O (log 2 n),但并未近似于程度。我们的主要结果是有界树宽图上BD-GST的O (log 3n)近似值。给定一个无向图G (V, E),一个终端S的集合,一个数k,求一棵树T (V ', E '),其中包含至少k个最小最大度的终端。我们证明,如果DB-GST问题允许一个ρ比近似,那么DB-Steiner k树问题,允许一个O (log 2 k·ρ)的期望近似。我们还证明了如果有k个组,存在一种算法能够覆盖k/4个最小极大度的组,那么对于DB-Steiner k-tree问题存在一个确定性的O (log n⋅ρ)近似。利用Guo等人(2020)的工作,我们推导了一般图上的DB-Steiner k-tree问题的O (log 3n)近似,该问题在拟多项式时间内运行。
The DB-GST problem is given an undirected graph G (V, E), and a collection of groups S={S i} i= 1 q, S i⊆ V, find a tree that contains at least one vertex from every group S i, so that the maximum degree is minimal. This problem was motivated by On-Line algorithms Hajiaghayi (2016), and has applications in VLSI design and fast Broadcasting. In the WDB-GST problem, every vertex v has individual degree bound d v, and every e∈ E has a cost c (e)> 0. The goal is, to find a tree that contains at least one terminal from every group, so that for every v, d e g T (v)≤ d v, and among such trees, find the one with minimum cost. We give the first approximation for this problem, an (O (log 2 n), O (log 2 n)) bicriteria approximation ratio the WDB-GST problem on trees inputs. This implies an O (log 2 n) approximation for DB-GST on tree inputs. The previously best known ratio for the WDB-GST problem on trees was a bicriterion (O (log 2 n), O (log 3 n))(the approximation for the degrees is O (log 3 n)) ratio which is folklore. Getting O (log 2 n) approximation requires careful case analysis and was not known. Our result for WDB-GST generalizes the classic result of Garg et al.(2016) that approximated the cost within O (log 2 n), but did not approximate the degree. Our main result is an O (log 3 n) approximation for BD-GST on Bounded Treewidth graphs. The DB-Steiner k-tree problem is given an undirected graph G (V, E), a collection of terminals S⊆ V, and a number k, find a tree T (V′, E′) that contains at least k terminals, of minimum maximum degree. We prove that if the DB-GST problem admits a ρ ratio approximation, then the DB-Steiner k-tree problem, admits an O (log 2 k⋅ ρ) expected approximation. We also show that if there are k groups, there exists an algorithm that is able to cover k/4 of the groups with minimum maximal degree, then there is a deterministic O (log n⋅ ρ) approximation for DB-Steiner k-tree problem. Using the work of Guo et al.(2020) we derive an O (log 3 n) approximation for DB-Steiner k-tree problem on general graphs, that runs in quasi-polynomial time.
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DOI: --
发表时间: 2011
期刊: International Workshop and International Workshop on Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques
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