LIPIcs.MFCS.2018.39.pdf
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Balanced Connected Partitioning of Unweighted Grid Graphs
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43rd International Symposium on Mathematical Foundations of Computer Science (MFCS 2018)
Series: Leibniz International Proceedings in Informatics (LIPIcs)
Conference: Mathematical Foundations of Computer Science (MFCS) - License:
Creative Commons Attribution 3.0 Unported license
- Publication date: 2018-08-27
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Cedric Berenger, Peter Niebert, and Kevin Perrot. Balanced Connected Partitioning of Unweighted Grid Graphs. In 43rd International Symposium on Mathematical Foundations of Computer Science (MFCS 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 117, pp. 39:1-39:18, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2018)
https://doi.org/10.4230/LIPIcs.MFCS.2018.39
https://doi.org/10.4230/LIPIcs.MFCS.2018.39
Abstract
We consider a partitioning problem for grid graphs with special constraints: a (square) grid graph as well as a number of colors is given, a solution is a coloring approximatively assigning the same number of vertices to each color and such that the induced subgraph for each color is connected. In a "rooted" variant, a vertex to be included in the coloring for each color is specified as well. This problem has a concrete motivation in multimedia streaming applications.
We show that the general problem is NP-complete. On the other hand, we define a reasonable easy subclass of grid graphs for which solutions always exist and can be computed by a greedy algorithm.
Subject Classification
ACM Subject Classification
- Mathematics of computing → Paths and connectivity problems
- Hardware → Partitioning and floorplanning
Keywords
- grid graphs
- connected partitioning
- NP-completeness
- graph algorithm
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