Reoptimization of maximum weight induced hereditary subgraph problems

被引:6
|
作者
Boria, Nicolas
Monnot, Jerome
Paschos, Vangelis Th
机构
[1] Univ Paris 09, F-75775 Paris 16, France
[2] CNRS UMR 7243, LAMSADE, Paris, France
关键词
Reoptimization; Graph theory; Polynomial approximation; Inapproximability; Hereditary property; MINIMUM; ALGORITHMS; HARDNESS; TREES;
D O I
10.1016/j.tcs.2012.10.037
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The reoptimization issue studied in this paper can be described as follows: given an instance I of some problem Pi, an optimal solution OPT for Pi in I and an instance I' resulting from a local modification of I that consists of insertions or removals of a small number of data, we wish to use OPT in order to solve Pi in I'. The aim is to achieve either a better approximation ratio or a better running time (or both) than guaranteed by ex nihilo computation. We use this setting in order to study weighted versions of several representatives of a broad class of problems known in the literature as maximum induced hereditary subgraph problems. The main problems studied are MAX INDEPENDENT SET, MAX k-COLORABLE SUBGRAPH and MAX SPLIT SUBGRAPH under vertex insertions and deletions. (C) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:61 / 74
页数:14
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