Skip to main contentSkip to search
Episciences
Open Access Journals
Sign in(new window)
Discrete Mathematics & Theoretical Computer Science logo
Discrete Mathematics & Theoretical Computer Science
Discrete Mathematics & Theoretical Computer Science logo
Discrete Mathematics & Theoretical Computer Science
Sign in(new window)
Articles & Issues
All articlesAll accepted articlesAll volumesLast volumeSectionsSpecial issuesAuthors
About
The journalIndexing
Boards
Publish
For authorsEthical charter
Submit
Discrete Mathematics & Theoretical Computer Science logo
Contact
|
Credits
eISSN 1365-8050
|
RSS
|
Atom
Episciences
Documentation
|
Acknowledgements
|
Publishing policy
Accessibility: non-compliant
|
Legal mentions
|
Privacy statement
|
Terms of use
  1. Home > Articles & Issues >
  2. Articles >
  3. On-line ranking of s ...
Article

On-line ranking of split graphs

Piotr Borowiecki ORCID (1), Dariusz Dereniowski ORCID (1)
(1) Department of Algorithms and Systems Modelling [ETI GUT]
Download article
Open on HAL
Imported on
May 20, 2009
Published on
August 21, 2013
Last modified on
March 31, 2025
Volume 15
vol. 15:2
Graph and Algorithms
DOI
10.46298/dmtcs.603
License
https://about.hal.science/hal-authorisation-v1
Indicators
1154
Views
977
Downloads

On-line ranking of split graphs

Piotr Borowiecki ORCID (1), Dariusz Dereniowski ORCID (1)
(1) Department of Algorithms and Systems Modelling [ETI GUT]
Abstract
A vertex ranking of a graph G is an assignment of positive integers (colors) to the vertices of G such that each path connecting two vertices of the same color contains a vertex of a higher color. Our main goal is to find a vertex ranking using as few colors as possible. Considering on-line algorithms for vertex ranking of split graphs, we prove that the worst case ratio of the number of colors used by any on-line ranking algorithm and the number of colors used in an optimal off-line solution may be arbitrarily large. This negative result motivates us to investigate semi on-line algorithms, where a split graph is presented on-line but its clique number is given in advance. We prove that there does not exist a (2-ɛ)-competitive semi on-line algorithm of this type. Finally, a 2-competitive semi on-line algorithm is given.
Keywords
  • [INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]
Cited by

Source: OpenCitations

  • The complexity of bicriteria tree-depth

    Theoretical Computer Science

    Authors : Piotr Borowiecki ORCID, Dariusz Dereniowski ORCID, Dorota Osula

    Journal reference : Volume 947, 2023, pp. 113682

    DOI : 10.1016/j.tcs.2022.12.032
Preview
Loading PDF preview...