2009
DOI: 10.7155/jgaa.00177
|View full text |Cite
|
Sign up to set email alerts
|

Algorithm Engineering for Optimal Graph Bipartization

Abstract: We examine exact algorithms for the NP-hard Graph Bipartization problem. The task is, given a graph, to find a minimum set of vertices to delete to make it bipartite. Based on the "iterative compression" method introduced by Reed, Smith, and Vetta in 2004, we present new algorithms and experimental results. The worst-case time complexity is improved. Based on new structural insights, we give a simplified correctness proof. This also allows us to establish a heuristic improvement that in particular speeds up th… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
40
0

Year Published

2009
2009
2019
2019

Publication Types

Select...
5
1
1

Relationship

1
6

Authors

Journals

citations
Cited by 44 publications
(40 citation statements)
references
References 45 publications
0
40
0
Order By: Relevance
“…For instances from Odd Cycle Transversal, we also include the results of the algorithm for directly solving Odd Cycle Transversal by Hüffner [9].…”
Section: Methodsmentioning
confidence: 99%
See 2 more Smart Citations
“…For instances from Odd Cycle Transversal, we also include the results of the algorithm for directly solving Odd Cycle Transversal by Hüffner [9].…”
Section: Methodsmentioning
confidence: 99%
“…Hüffner: This is the state-of-the-art algorithm by Hüffner for directly solving Odd Cycle Transversal [9]. This algorithm is based on an FPT algorithm by Reed, Smith and Vetta [18] using the iterative compression technique.…”
Section: Mcs: Mcsmentioning
confidence: 99%
See 1 more Smart Citation
“…In an attempt to remedy this, Hüffner [5] provided an alternative algorithm for the problem. In this paper we give yet another algorithm for OCT. We believe that our algorithm is simpler and more intuitive than the previous versions.…”
Section: Introductionmentioning
confidence: 99%
“…This technique has been useful in resolving several other open problems in the area of parameterized complexity, including Directed Feedback Vertex Set, Almost 2-SAT, Multicut [3,32,26]. However, the algorithm for OCT had seen no further improvements in the last 9 years, though reinterpretations of the algorithm have been published [13,20]. Only recently, Lokshtanov et al [18] obtained an algorithm with an improved dependence on the parameter k. This algorithm is based on a branching guided by linear programming and runs in time O(2.32 k n O(1) ).…”
Section: Introductionmentioning
confidence: 99%