A Streaming Algorithm for the Undirected Longest Path Problem Article Swipe
YOU?
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· 2016
· Open Access
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· DOI: https://doi.org/10.4230/lipics.esa.2016.56
We present the first streaming algorithm for the longest path problem in undirected graphs. The input graph is given as a stream of edges and RAM is limited to only a linear number of edges at a time (linear in the number of vertices n). We prove a per-edge processing time of O(n), where a naive solution would have required Omega(n^2). Moreover, we give a concrete linear upper bound on the number of bits of RAM that are required. On a set of graphs with various structure, we experimentally compare our algorithm with three leading RAM algorithms: Warnsdorf (1823), Pohl-Warnsdorf (1967), and Pongrasz (2012). Although conducting only a small constant number of passes over the input, our algorithm delivers competitive results: with the exception of preferential attachment graphs, we deliver at least 71% of the solution of the best RAM algorithm. The same minimum relative performance of 71% is observed over all graph classes after removing the 10% worst cases. This comparison has strong meaning, since for each instance class there is one algorithm that on average delivers at least 84% of a Hamilton path. In some cases we deliver even better results than any of the RAM algorithms.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ESA.2016.56
- OA Status
- green
- Cited By
- 4
- Related Works
- 20
- OpenAlex ID
- https://openalex.org/W2535298630
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2535298630Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.4230/lipics.esa.2016.56Digital Object Identifier
- Title
-
A Streaming Algorithm for the Undirected Longest Path ProblemWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2016Year of publication
- Publication date
-
2016-01-01Full publication date if available
- Authors
-
Lasse Kliemann, Christian Schielke, Anand SrivastavList of authors in order
- Landing page
-
https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ESA.2016.56Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ESA.2016.56Direct OA link when available
- Concepts
-
Computer science, Streaming algorithm, Algorithm, Combinatorics, Undirected graph, Path (computing), Time complexity, Graph, Upper and lower bounds, Running time, Binary logarithm, Mathematics, Discrete mathematics, Programming language, Mathematical analysisTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
4Total citation count in OpenAlex
- Citations by year (recent)
-
2022: 2, 2021: 1, 2018: 1Per-year citation counts (last 5 years)
- Related works (count)
-
20Other works algorithmically related by OpenAlex
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| abstract_inverted_index.in | 11, 39 |
| abstract_inverted_index.is | 17, 26, 148, 171 |
| abstract_inverted_index.of | 22, 33, 42, 51, 72, 74, 82, 111, 124, 133, 136, 146, 181, 195 |
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| abstract_inverted_index.to | 28 |
| abstract_inverted_index.we | 62, 87, 128, 188 |
| abstract_inverted_index.10% | 157 |
| abstract_inverted_index.71% | 132, 147 |
| abstract_inverted_index.84% | 180 |
| abstract_inverted_index.RAM | 25, 75, 95, 139, 197 |
| abstract_inverted_index.The | 14, 141 |
| abstract_inverted_index.all | 151 |
| abstract_inverted_index.and | 24, 101 |
| abstract_inverted_index.any | 194 |
| abstract_inverted_index.are | 77 |
| abstract_inverted_index.for | 6, 166 |
| abstract_inverted_index.has | 162 |
| abstract_inverted_index.n). | 44 |
| abstract_inverted_index.one | 172 |
| abstract_inverted_index.our | 90, 116 |
| abstract_inverted_index.set | 81 |
| abstract_inverted_index.the | 2, 7, 40, 70, 114, 122, 134, 137, 156, 196 |
| abstract_inverted_index.This | 160 |
| abstract_inverted_index.best | 138 |
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| abstract_inverted_index.each | 167 |
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| abstract_inverted_index.only | 29, 106 |
| abstract_inverted_index.over | 113, 150 |
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| abstract_inverted_index.some | 186 |
| abstract_inverted_index.than | 193 |
| abstract_inverted_index.that | 76, 174 |
| abstract_inverted_index.time | 37, 50 |
| abstract_inverted_index.with | 84, 92, 121 |
| abstract_inverted_index.O(n), | 52 |
| abstract_inverted_index.after | 154 |
| abstract_inverted_index.bound | 68 |
| abstract_inverted_index.cases | 187 |
| abstract_inverted_index.class | 169 |
| abstract_inverted_index.edges | 23, 34 |
| abstract_inverted_index.first | 3 |
| abstract_inverted_index.given | 18 |
| abstract_inverted_index.graph | 16, 152 |
| abstract_inverted_index.input | 15 |
| abstract_inverted_index.least | 131, 179 |
| abstract_inverted_index.naive | 55 |
| abstract_inverted_index.path. | 184 |
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| abstract_inverted_index.small | 108 |
| abstract_inverted_index.there | 170 |
| abstract_inverted_index.three | 93 |
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| abstract_inverted_index.worst | 158 |
| abstract_inverted_index.would | 57 |
| abstract_inverted_index.better | 191 |
| abstract_inverted_index.cases. | 159 |
| abstract_inverted_index.graphs | 83 |
| abstract_inverted_index.input, | 115 |
| abstract_inverted_index.linear | 31, 66 |
| abstract_inverted_index.number | 32, 41, 71, 110 |
| abstract_inverted_index.passes | 112 |
| abstract_inverted_index.stream | 21 |
| abstract_inverted_index.strong | 163 |
| abstract_inverted_index.(1823), | 98 |
| abstract_inverted_index.(1967), | 100 |
| abstract_inverted_index.(2012). | 103 |
| abstract_inverted_index.(linear | 38 |
| abstract_inverted_index.average | 176 |
| abstract_inverted_index.classes | 153 |
| abstract_inverted_index.compare | 89 |
| abstract_inverted_index.deliver | 129, 189 |
| abstract_inverted_index.graphs, | 127 |
| abstract_inverted_index.graphs. | 13 |
| abstract_inverted_index.leading | 94 |
| abstract_inverted_index.limited | 27 |
| abstract_inverted_index.longest | 8 |
| abstract_inverted_index.minimum | 143 |
| abstract_inverted_index.present | 1 |
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| abstract_inverted_index.results | 192 |
| abstract_inverted_index.various | 85 |
| abstract_inverted_index.Although | 104 |
| abstract_inverted_index.Hamilton | 183 |
| abstract_inverted_index.Pongrasz | 102 |
| abstract_inverted_index.concrete | 65 |
| abstract_inverted_index.constant | 109 |
| abstract_inverted_index.delivers | 118, 177 |
| abstract_inverted_index.instance | 168 |
| abstract_inverted_index.meaning, | 164 |
| abstract_inverted_index.observed | 149 |
| abstract_inverted_index.per-edge | 48 |
| abstract_inverted_index.relative | 144 |
| abstract_inverted_index.removing | 155 |
| abstract_inverted_index.required | 59 |
| abstract_inverted_index.results: | 120 |
| abstract_inverted_index.solution | 56, 135 |
| abstract_inverted_index.vertices | 43 |
| abstract_inverted_index.Moreover, | 61 |
| abstract_inverted_index.Warnsdorf | 97 |
| abstract_inverted_index.algorithm | 5, 91, 117, 173 |
| abstract_inverted_index.exception | 123 |
| abstract_inverted_index.required. | 78 |
| abstract_inverted_index.streaming | 4 |
| abstract_inverted_index.algorithm. | 140 |
| abstract_inverted_index.attachment | 126 |
| abstract_inverted_index.comparison | 161 |
| abstract_inverted_index.conducting | 105 |
| abstract_inverted_index.processing | 49 |
| abstract_inverted_index.structure, | 86 |
| abstract_inverted_index.undirected | 12 |
| abstract_inverted_index.Omega(n^2). | 60 |
| abstract_inverted_index.algorithms. | 198 |
| abstract_inverted_index.algorithms: | 96 |
| abstract_inverted_index.competitive | 119 |
| abstract_inverted_index.performance | 145 |
| abstract_inverted_index.preferential | 125 |
| abstract_inverted_index.Pohl-Warnsdorf | 99 |
| abstract_inverted_index.experimentally | 88 |
| cited_by_percentile_year.max | 96 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| citation_normalized_percentile.value | 0.67120254 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |