Faster Parameterized Algorithm for Cluster Vertex Deletion
In the Cluster Vertex Deletion problem the input is a graph G and an integer k . The goal is to decide whether there is a set of vertices S of size at most k such that the deletion of the vertices of S from G results in a graph in which every connected component is a clique. We give an algorithm for...
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| Published in: | Theory of computing systems Vol. 65; no. 2; pp. 323 - 343 |
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| Main Author: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
New York
Springer US
01.02.2021
Springer Nature B.V |
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| ISSN: | 1432-4350, 1433-0490 |
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| Abstract | In the
Cluster Vertex Deletion
problem the input is a graph
G
and an integer
k
. The goal is to decide whether there is a set of vertices
S
of size at most
k
such that the deletion of the vertices of
S
from
G
results in a graph in which every connected component is a clique. We give an algorithm for
Cluster Vertex Deletion
whose running time is
O
∗
(1.811
k
). |
|---|---|
| AbstractList | In the
Cluster Vertex Deletion
problem the input is a graph
G
and an integer
k
. The goal is to decide whether there is a set of vertices
S
of size at most
k
such that the deletion of the vertices of
S
from
G
results in a graph in which every connected component is a clique. We give an algorithm for
Cluster Vertex Deletion
whose running time is
O
∗
(1.811
k
). In the Cluster Vertex Deletion problem the input is a graph G and an integer k. The goal is to decide whether there is a set of vertices S of size at most k such that the deletion of the vertices of S from G results in a graph in which every connected component is a clique. We give an algorithm for Cluster Vertex Deletion whose running time is O∗(1.811k). |
| Author | Tsur, Dekel |
| Author_xml | – sequence: 1 givenname: Dekel orcidid: 0000-0001-9763-3784 surname: Tsur fullname: Tsur, Dekel email: dekelts@cs.bgu.ac.il organization: Ben-Gurion University of the Negev |
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| CitedBy_id | crossref_primary_10_1016_j_tcs_2022_10_044 crossref_primary_10_1007_s00453_023_01144_w crossref_primary_10_1016_j_tcs_2023_114178 crossref_primary_10_1016_j_tcs_2023_114321 crossref_primary_10_1007_s00453_025_01315_x crossref_primary_10_1016_j_tcs_2025_115081 crossref_primary_10_1134_S1064226924700360 crossref_primary_10_1016_j_tcs_2025_115483 crossref_primary_10_1016_j_tcs_2023_114041 crossref_primary_10_1007_s00224_024_10161_3 |
| Cites_doi | 10.1007/s00453-008-9199-6 10.1016/j.disopt.2015.11.003 10.1007/s00453-004-1090-5 10.1016/j.ipl.2014.06.018 10.1089/106652799318274 10.1007/s00224-008-9150-x 10.1016/j.tcs.2019.03.013 10.1023/B:MACH.0000033116.57574.95 10.1007/s00224-015-9631-7 10.1007/978-3-319-21275-3 10.1016/j.tcs.2009.11.012 10.1016/j.ipl.2015.12.002 10.1016/0020-0190(96)00050-6 10.1007/978-3-319-55911-7_47 10.1007/978-3-319-21398-9_37 10.1145/2897518.2897551 |
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| DOI | 10.1007/s00224-020-10005-w |
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| Snippet | In the
Cluster Vertex Deletion
problem the input is a graph
G
and an integer
k
. The goal is to decide whether there is a set of vertices
S
of size at most
k... In the Cluster Vertex Deletion problem the input is a graph G and an integer k. The goal is to decide whether there is a set of vertices S of size at most k... |
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| StartPage | 323 |
| SubjectTerms | Algorithms Apexes Clusters Computer Science Deletion Graph theory Theory of Computation |
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| Title | Faster Parameterized Algorithm for Cluster Vertex Deletion |
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