A general framework for multi-level subsetwise graph sparsifiers Article Swipe
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· 2019
· Open Access
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Given an undirected weighted graph $G(V,E)$, a subsetwise sparsifier over a terminal set $T\subset V$ is a subgraph $G'$ having a certain structure which connects the terminals. Examples are Steiner trees (minimal-weight trees spanning $T$) and subsetwise spanners (subgraphs $G'(V',E')$ such that for given $\alpha,\beta\geq1$, $d_{G'}(u,v)\leq \alpha d_{G}(u,v)+\beta$ for $u,v\in T$). Multi-level subsetwise sparsifiers are generalizations in which terminal vertices require different levels or grades of service. This paper gives a flexible approximation algorithm for several multi-level subsetwise sparsifier problems, including multi-level graph spanners, Steiner trees, and $k$--connected subgraphs. The algorithm relies on computing an approximation to the single level instance of the problem% and an efficient approach to obtain a multi-level solution. For the subsetwise spanner problem, there are few existing approximation algorithms for even a single level; consequently we give a new polynomial time algorithm for computing a subsetwise spanner for a single level. Specifically, we show that for $k\in\N$, $\eps>0$, and $T\subset V$, there is a subsetwise $(2k-1)(1+\eps)$--spanner with total weight $O(|T|^\frac1kW(\ST(G,T)))$, where $W(\ST(G,T))$ is the weight of the Steiner tree of $G$ over the subset $T$. This is the first algorithm and corresponding weight guarantee for a multiplicative subsetwise spanner for nonplanar graphs. We also generalize a result of Klein to give a constant approximation to the multi-level subsetwise spanner problem for planar graphs. Additionally, we give a polynomial-size ILP for optimally computing pairwise spanners of arbitrary distortion (beyond linear distortion functions), and provide experiments to illustrate the performance of our algorithms.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- https://arxiv.org/abs/1905.00536
- OA Status
- green
- Related Works
- 20
- OpenAlex ID
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Raw OpenAlex JSON
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- Title
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A general framework for multi-level subsetwise graph sparsifiersWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2019Year of publication
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2019-05-01Full publication date if available
- Authors
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Reyan Ahmed, Keaton Hamm, Mohammad Javad Latifi Jebelli, Stephen Kobourov, Faryad Darabi Sahneh, Richard SpenceList of authors in order
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https://arxiv.org/abs/1905.00536Publisher landing page
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/abs/1905.00536Direct OA link when available
- Concepts
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Spanner, Multiplicative function, Steiner tree problem, Combinatorics, Spanning tree, Approximation algorithm, Mathematics, Undirected graph, Graph, Discrete mathematics, Time complexity, Computer science, Mathematical analysis, Distributed computingTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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20Other works algorithmically related by OpenAlex
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| abstract_inverted_index.level; | 128 |
| abstract_inverted_index.levels | 62 |
| abstract_inverted_index.linear | 233 |
| abstract_inverted_index.obtain | 109 |
| abstract_inverted_index.planar | 216 |
| abstract_inverted_index.relies | 91 |
| abstract_inverted_index.result | 201 |
| abstract_inverted_index.single | 98, 127, 144 |
| abstract_inverted_index.subset | 178 |
| abstract_inverted_index.trees, | 85 |
| abstract_inverted_index.weight | 163, 169, 187 |
| abstract_inverted_index.$u,v\in | 49 |
| abstract_inverted_index.(beyond | 232 |
| abstract_inverted_index.Steiner | 29, 84, 172 |
| abstract_inverted_index.certain | 21 |
| abstract_inverted_index.graphs. | 196, 217 |
| abstract_inverted_index.problem | 214 |
| abstract_inverted_index.provide | 237 |
| abstract_inverted_index.require | 60 |
| abstract_inverted_index.several | 75 |
| abstract_inverted_index.spanner | 116, 141, 193, 213 |
| abstract_inverted_index.Examples | 27 |
| abstract_inverted_index.approach | 107 |
| abstract_inverted_index.connects | 24 |
| abstract_inverted_index.constant | 207 |
| abstract_inverted_index.existing | 121 |
| abstract_inverted_index.flexible | 71 |
| abstract_inverted_index.instance | 100 |
| abstract_inverted_index.pairwise | 227 |
| abstract_inverted_index.problem% | 103 |
| abstract_inverted_index.problem, | 117 |
| abstract_inverted_index.service. | 66 |
| abstract_inverted_index.spanners | 37, 228 |
| abstract_inverted_index.spanning | 33 |
| abstract_inverted_index.subgraph | 17 |
| abstract_inverted_index.terminal | 11, 58 |
| abstract_inverted_index.vertices | 59 |
| abstract_inverted_index.weighted | 3 |
| abstract_inverted_index.$G(V,E)$, | 5 |
| abstract_inverted_index.$T\subset | 13, 154 |
| abstract_inverted_index.$\eps>0$, | 152 |
| abstract_inverted_index.$k\in\N$, | 151 |
| abstract_inverted_index.algorithm | 73, 90, 136, 184 |
| abstract_inverted_index.arbitrary | 230 |
| abstract_inverted_index.computing | 93, 138, 226 |
| abstract_inverted_index.different | 61 |
| abstract_inverted_index.efficient | 106 |
| abstract_inverted_index.guarantee | 188 |
| abstract_inverted_index.including | 80 |
| abstract_inverted_index.nonplanar | 195 |
| abstract_inverted_index.optimally | 225 |
| abstract_inverted_index.problems, | 79 |
| abstract_inverted_index.solution. | 112 |
| abstract_inverted_index.spanners, | 83 |
| abstract_inverted_index.structure | 22 |
| abstract_inverted_index.(subgraphs | 38 |
| abstract_inverted_index.algorithms | 123 |
| abstract_inverted_index.distortion | 231, 234 |
| abstract_inverted_index.generalize | 199 |
| abstract_inverted_index.illustrate | 240 |
| abstract_inverted_index.polynomial | 134 |
| abstract_inverted_index.sparsifier | 8, 78 |
| abstract_inverted_index.subgraphs. | 88 |
| abstract_inverted_index.subsetwise | 7, 36, 52, 77, 115, 140, 159, 192, 212 |
| abstract_inverted_index.terminals. | 26 |
| abstract_inverted_index.undirected | 2 |
| abstract_inverted_index.$G'(V',E')$ | 39 |
| abstract_inverted_index.Multi-level | 51 |
| abstract_inverted_index.algorithms. | 245 |
| abstract_inverted_index.experiments | 238 |
| abstract_inverted_index.functions), | 235 |
| abstract_inverted_index.multi-level | 76, 81, 111, 211 |
| abstract_inverted_index.performance | 242 |
| abstract_inverted_index.sparsifiers | 53 |
| abstract_inverted_index.consequently | 129 |
| abstract_inverted_index.$W(\ST(G,T))$ | 166 |
| abstract_inverted_index.Additionally, | 218 |
| abstract_inverted_index.Specifically, | 146 |
| abstract_inverted_index.approximation | 72, 95, 122, 208 |
| abstract_inverted_index.corresponding | 186 |
| abstract_inverted_index.$k$--connected | 87 |
| abstract_inverted_index.multiplicative | 191 |
| abstract_inverted_index.(minimal-weight | 31 |
| abstract_inverted_index.generalizations | 55 |
| abstract_inverted_index.polynomial-size | 222 |
| abstract_inverted_index.$d_{G'}(u,v)\leq | 45 |
| abstract_inverted_index.d_{G}(u,v)+\beta$ | 47 |
| abstract_inverted_index.$\alpha,\beta\geq1$, | 44 |
| abstract_inverted_index.$(2k-1)(1+\eps)$--spanner | 160 |
| abstract_inverted_index.$O(|T|^\frac1kW(\ST(G,T)))$, | 164 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 6 |
| citation_normalized_percentile |