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Erschienen in: Journal of Scheduling 1/2019

18.12.2018

Inductive \(k\)-independent graphs and c-colorable subgraphs in scheduling: a review

verfasst von: Matthias Bentert, René van Bevern, Rolf Niedermeier

Erschienen in: Journal of Scheduling | Ausgabe 1/2019

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Abstract

Inductive \(k\)-independent graphs generalize chordal graphs and have recently been advocated in the context of interference-avoiding wireless communication scheduling. The NP-hard problem of finding maximum-weight induced c-colorable subgraphs, which is a generalization of finding maximum independent sets, naturally occurs when selecting \(c\) sets of pairwise non-conflicting jobs (modeled as graph vertices). We investigate the parameterized complexity of this problem on inductive \(k\)-independent graphs. We show that the Maximum Independent Set problem is W[1]-hard even on 2-simplicial 3-minoes—a subclass of inductive 2-independent graphs. In contrast, we prove that the more general Max-Weightc-Colorable Subgraph problem is fixed-parameter tractable on edge-wise unions of cluster and chordal graphs, which are 2-simplicial. In both cases, the parameter is the solution size. Aside from this, we survey other graph classes between inductive \(1\)-independent and inductive \(2\)-independent graphs with applications in scheduling.

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Fußnoten
1
Ásgeirsson et al. (2017) interested in maximum-weight unions of c independent sets. In the graph theory literature, the problem is known as Max-Weight\(c\)-Colorable Subgraph; we prefer to stick to the established graph theory notion.
 
2
We are not aware that \(A\bowtie B\) or an alike notation has been used before. Rather, previous work has been coming up with ad hoc names for the classes \(A\bowtie B\) for various \(A\) and \(B\), often referring to one and the same class by several names.
 
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Metadaten
Titel
Inductive -independent graphs and c-colorable subgraphs in scheduling: a review
verfasst von
Matthias Bentert
René van Bevern
Rolf Niedermeier
Publikationsdatum
18.12.2018
Verlag
Springer US
Erschienen in
Journal of Scheduling / Ausgabe 1/2019
Print ISSN: 1094-6136
Elektronische ISSN: 1099-1425
DOI
https://doi.org/10.1007/s10951-018-0595-8

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