On the Parameterized and Approximation Hardness of Metric Dimension

被引:27
作者
Hartung, Sepp [1 ]
Nichterlein, Andre [1 ]
机构
[1] TU Berlin, Inst Softwaretech & Theoret Informat, Berlin, Germany
来源
2013 IEEE CONFERENCE ON COMPUTATIONAL COMPLEXITY (CCC) | 2013年
关键词
W[2]-completeness; computational complexity; network verification; LOWER BOUNDS;
D O I
10.1109/CCC.2013.36
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The NP-hard METRIC DIMENSION problem is to decide for a given graph G and a positive integer k whether there is a vertex subset of size at most k that separates all vertex pairs in G. Herein, a vertex v separates a pair {u, w} if the distance (length of a shortest path) between v and u is different from the distance of v and w. We give a polynomial-time computable reduction from the BIPARTITE DOMINATING SET problem to METRIC DIMENSION on maximum degree three graphs such that there is a one-to-one correspondence between the solution sets of both problems. There are two main consequences of this: First, it proves that METRIC DIMENSION on maximum degree three graphs is W[2]-hard with respect to the parameter k. This answers an open question concerning the parameterized complexity of METRIC DIMENSION posed by Lokshtanov [Dagstuhl seminar, 2009] and also by Diaz et al. [ESA'12]. Additionally, it implies that a trivial n(O(k))-time algorithm cannot be improved to an n(o(k))-time algorithm, unless the assumption FPT not equal W[1] fails. Second, as BIPARTITE DOMINATING SET is inapproximable within o(log n), it follows that METRIC DIMENSION on maximum degree three graphs is also inapproximable by a factor of o(log n), unless NP = P. This strengthens the result of Hauptmann et al. [JDA'12] who proved APX-hardness on bounded-degree graphs.
引用
收藏
页码:266 / 276
页数:11
相关论文
共 22 条
[21]   Short cycles make W-hard problems hard:: FPT algorithms for W-hard problems in graphs with no short cycles [J].
Raman, Venkatesh ;
Saurabh, Saket .
ALGORITHMICA, 2008, 52 (02) :203-225
[22]  
Slater P.J., 1975, C NUMER, V14, P549, DOI DOI 10.1002/NET.3230170105