Abstract
A sparsification of a given graph G is a sparser graph (typically a subgraph) which aims to approximate or preserve some property of G. Examples of sparsifications include but are not limited to spanning trees, Steiner trees, spanners, emulators, and distance preservers. Each vertex has the same priority in all of these problems. However, real-world graphs typically assign different “priorities” or “levels” to different vertices, in which higher-priority vertices require higher-quality connectivity between them. Multi-priority variants of the Steiner tree problem have been studied previously, but have been much less studied for other types of sparsifiers. In this paper, we define a generalized multi-priority problem and present a rounding-up approach that can be used for a variety of graph sparsifications. Our analysis provides a systematic way to compute approximate solutions to multi-priority variants of a wide range of graph sparsification problems given access to a single-priority subroutine.
Supported in part by NSF grants CCF-1740858, CCF-1712119, and CCF-2212130.
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Notes
- 1.
A detailed discussion can be found in the full version [8].
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Ahmed, R., Hamm, K., Kobourov, S., Jebelli, M.J.L., Sahneh, F.D., Spence, R. (2023). Multi-priority Graph Sparsification. In: Hsieh, SY., Hung, LJ., Lee, CW. (eds) Combinatorial Algorithms. IWOCA 2023. Lecture Notes in Computer Science, vol 13889. Springer, Cham. https://doi.org/10.1007/978-3-031-34347-6_1
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