Title
Subexponential Fixed-Parameter Algorithms for Partial Vector Domination.
Abstract
Given a graph G=(V,E) of order n and an n-dimensional non-negative vector d=(d(1),d(2),…,d(n)), called demand vector, the vector domination (resp., total vector domination) is the problem of finding a minimum S⊆V such that every vertex v in V∖S (resp., in V) has at least d(v) neighbors in S. The (total) vector domination is a generalization of many dominating set type problems, e.g., the (total) dominating set problem, the (total) k-dominating set problem (this k is different from the solution size), and so on, and subexponential fixed-parameter algorithms with respect to solution size for apex-minor-free graphs (so for planar graphs) are known. In this paper, we consider maximization versions of the problems; that is, for a given integer k, the goal is to find an S⊆V with size k that maximizes the total sum of satisfied demands. For these problems, we design subexponential fixed-parameter algorithms with respect to k for apex-minor-free graphs.
Year
DOI
Venue
2014
10.1016/j.disopt.2016.01.003
Discrete Optimization
Keywords
Field
DocType
(Total) vector dominating set,Partial dominating set,Fixed-parameter tractability,Branchwidth,Apex-minor-free graphs
Integer,Graph,Dominating set,Vertex (geometry),Algorithm,Domination analysis,Maximization,Planar graph,Mathematics
Conference
Volume
ISSN
Citations 
22
1572-5286
0
PageRank 
References 
Authors
0.34
17
3
Name
Order
Citations
PageRank
Toshimasa Ishii111017.03
Hirotaka Ono240056.98
yushi uno322228.80