Title
On size-constrained minimum s-t cut problems and size-constrained dense subgraph problems.
Abstract
In some application cases, the solutions of combinatorial optimization problems on graphs should satisfy an additional vertex size constraint. In this paper, we consider size-constrained minimum s–t cut problems and size-constrained dense subgraph problems. We introduce the minimum s–t cut with at-least-k vertices problem, the minimum s–t cut with at-most-k vertices problem, and the minimum s–t cut with exactly k vertices problem. We prove that they are NP-complete. Thus, they are not polynomially solvable unless P=NP.
Year
DOI
Venue
2016
10.1016/j.tcs.2015.10.031
Theoretical Computer Science
Keywords
Field
DocType
At-least-k-subgraph problem,At-most-k-subgraph problem,Approximation algorithm,The minimum s–t cut with at-least-k vertices problem,The minimum s–t cut with at-most-k vertices problem,The minimum s–t cut with exactly k vertices problem
Cut,Discrete mathematics,Approximation algorithm,Combinatorics,Vertex (geometry),Minimum cut,Time complexity,Minimum k-cut,Mathematics,Maximum cut,Bounded function
Journal
Volume
Issue
ISSN
609
P2
0304-3975
Citations 
PageRank 
References 
1
0.35
19
Authors
5
Name
Order
Citations
PageRank
Wenbin Chen183.58
Nagiza F. Samatova286174.04
Matthias F. Stallmann3536.07
William Hendrix413613.85
Weiqin Ying5256.67