License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.12.11.109
URN: urn:nbn:de:0030-drops-178384
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2023/17838/
Chudnovsky, Maria ;
Misra, Neeldhara ;
Paulusma, Daniel ;
Schaudt, Oliver ;
Agrawal, Akanksha
Weitere Beteiligte (Hrsg. etc.): Maria Chudnovsky and Neeldhara Misra and Daniel Paulusma and Oliver Schaudt and Akanksha Agrawal
Vertex Partitioning in Graphs: From Structure to Algorithms (Dagstuhl Seminar 22481)
Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 22481 "Vertex Partitioning in Graphs: From Structure to Algorithms", which was held from 27 November to 2 December 2023. The report contains abstracts for presentations about recent structural and algorithmic developments for a variety of vertex partitioning problems. It also contains a collection of open problems which were posed during the seminar.
BibTeX - Entry
@Article{chudnovsky_et_al:DagRep.12.11.109,
author = {Chudnovsky, Maria and Misra, Neeldhara and Paulusma, Daniel and Schaudt, Oliver and Agrawal, Akanksha},
title = {{Vertex Partitioning in Graphs: From Structure to Algorithms (Dagstuhl Seminar 22481)}},
pages = {109--123},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2023},
volume = {12},
number = {11},
editor = {Chudnovsky, Maria and Misra, Neeldhara and Paulusma, Daniel and Schaudt, Oliver and Agrawal, Akanksha},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2023/17838},
URN = {urn:nbn:de:0030-drops-178384},
doi = {10.4230/DagRep.12.11.109},
annote = {Keywords: computational complexity, hereditary graph classes, parameterized algorithms, polynomial-time algorithms, vertex partitioning}
}
Keywords: |
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computational complexity, hereditary graph classes, parameterized algorithms, polynomial-time algorithms, vertex partitioning |
Collection: |
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DagRep, Volume 12, Issue 11 |
Issue Date: |
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2023 |
Date of publication: |
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04.05.2023 |