Approximating Spanners and Directed Steiner Forest: Upper and Lower Bounds
Approximating Spanners and Directed Steiner Forest: Upper and Lower Bounds
复制标题
近似扳手和定向斯坦纳森林:上限和下限
DOI:
10.1145/3381451
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发表时间:
2020
影响因子:
1.3
通讯作者:
Laekhanukit, Bundit
中科院分区:
文献类型:
--
作者:
Chlamtáč, Eden;Dinitz, Michael;Kortsarz, Guy;Laekhanukit, Bundit
It was recently found that there are very close connections between the existence ofadditive spanners(subgraphs where all distances are preserved up to an additive stretch),distance preservers(subgraphs in which demand pairs have their distance preserved exactly), andpairwise spanners(subgraphs in which demand pairs have their distance preserved up to a multiplicative or additive stretch) [Abboud-Bodwin SODA’16 8 J.ACM’17, Bodwin-Williams SODA’16]. We study these problems from an optimization point of view, where rather than studying the existence of extremal instances, we are given an instance and are asked to find the sparsest possible spanner/preserver. We give anO(n3/5 + ε)-approximation for distance preservers and pairwise spanners (for arbitrary constant ε > 0). This is the first nontrivial upper bound for either problem, both of which are known to be as hard to approximate as Label Cover. We also prove Label Cover hardness for approximating additive spanners, even for the cases of additive 1 stretch (where one might expect a polylogarithmic approximation, since the related multiplicative 2-spanner problem admits anO(logn)-approximation) and additive polylogarithmic stretch (where the related multiplicative spanner problem has anO(1)-approximation).Interestingly, the techniques we use in our approximation algorithm extend beyond distance-based problem to pure connectivity network design problems. In particular, our techniques allow us to give anO(n3/5 + ε)-approximation for the Directed Steiner Forest problem (for arbitrary constant ε > 0) when all edges have uniform costs, improving the previous bestO(n2/3 + ε)-approximation due to Berman et al. [ICALP’11] (which holds for general edge costs).