Concatenated k-path covers. Issue 1 (2nd January 2023)
- Record Type:
- Journal Article
- Title:
- Concatenated k-path covers. Issue 1 (2nd January 2023)
- Main Title:
- Concatenated k-path covers
- Authors:
- Beck, Moritz
Lam, Kam-Yiu
Ng, Joseph Kee Yin
Storandt, Sabine
Zhu, Chun Jiang - Abstract:
- Abstract : Given a graph G ( V, E ), a k -Path Cover is defined as a subset C of the nodes V such that every simple path in G consisting of k nodes contains at least one node from C . Similarly, a k -Shortest Path Cover has to contain at least one node of every shortest path in G that consists of k nodes. In this paper, we extend the notion of k -(Shortest) Path Covers such that the objects to be covered don't have to be single paths but can be concatenations of up to p simple (or shortest) paths. For the generalized problem of computing concatenated p | k -Shortest Path Covers, we present theoretical results regarding the VC-dimension of the concatenated path set in dependency of p in undirected as well as directed graphs. By proving a low VC-dimension in both settings, we enable the design of efficient approximation algorithms. Furthermore, we discuss how a pruning algorithm originally developed for k -Path Cover computation can be abstracted and modified in order to also solve concatenated p | k -Path Cover problems. A crucial ingredient for the pruning algorithm to work efficiently is a path concatenation recognition algorithm. We describe general recognition algorithms for simple path concatenations as well as shortest path concatenations. Subsequently, we present more refined results for interesting special cases as piecewise shortest paths, hyperpaths, round tours, and trees. An extensive experimental study on different graph types proves the applicability andAbstract : Given a graph G ( V, E ), a k -Path Cover is defined as a subset C of the nodes V such that every simple path in G consisting of k nodes contains at least one node from C . Similarly, a k -Shortest Path Cover has to contain at least one node of every shortest path in G that consists of k nodes. In this paper, we extend the notion of k -(Shortest) Path Covers such that the objects to be covered don't have to be single paths but can be concatenations of up to p simple (or shortest) paths. For the generalized problem of computing concatenated p | k -Shortest Path Covers, we present theoretical results regarding the VC-dimension of the concatenated path set in dependency of p in undirected as well as directed graphs. By proving a low VC-dimension in both settings, we enable the design of efficient approximation algorithms. Furthermore, we discuss how a pruning algorithm originally developed for k -Path Cover computation can be abstracted and modified in order to also solve concatenated p | k -Path Cover problems. A crucial ingredient for the pruning algorithm to work efficiently is a path concatenation recognition algorithm. We describe general recognition algorithms for simple path concatenations as well as shortest path concatenations. Subsequently, we present more refined results for interesting special cases as piecewise shortest paths, hyperpaths, round tours, and trees. An extensive experimental study on different graph types proves the applicability and efficiency of our approaches. … (more)
- Is Part Of:
- International journal of computer mathematics. Volume 8:Issue 1(2023)
- Journal:
- International journal of computer mathematics
- Issue:
- Volume 8:Issue 1(2023)
- Issue Display:
- Volume 8, Issue 1 (2023)
- Year:
- 2023
- Volume:
- 8
- Issue:
- 1
- Issue Sort Value:
- 2023-0008-0001-0000
- Page Start:
- 32
- Page End:
- 56
- Publication Date:
- 2023-01-02
- Subjects:
- Shortest paths -- hitting set -- vc-dimension
Computer systems -- Periodicals
Computer systems
Periodicals
004 - Journal URLs:
- http://www.tandfonline.com/loi/tcom20 ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/23799927.2023.2173656 ↗
- Languages:
- English
- ISSNs:
- 2379-9927
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 26769.xml