Streaming Algorithms for Geometric Steiner Forest Article Swipe
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· 2024
· Open Access
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· DOI: https://doi.org/10.1145/3663666
We consider a generalization of the Steiner tree problem, the Steiner forest problem , in the Euclidean plane: the input is a multiset \(X\subseteq{\mathbb{R}}^{2}\) , partitioned into \(k\) color classes \(C_{1},\ldots,C_{k}\subseteq X\) . The goal is to find a minimum-cost Euclidean graph \(G\) such that every color class \(C_{i}\) is connected in \(G\) . We study this Steiner forest problem in the streaming setting, where the stream consists of insertions and deletions of points to \(X\) . Each input point \(x {\in} X\) arrives with its color \(\mathsf{color}(x) {\in} [k]\) , and as usual for dynamic geometric streams, the input is restricted to the discrete grid \(\{1,\ldots,\Delta\}^{2}\) . We design a single-pass streaming algorithm that uses \(\operatorname{poly}(k\cdot\log\Delta)\) space and time, and estimates the cost of an optimal Steiner forest solution within ratio arbitrarily close to the famous Euclidean Steiner ratio \(\alpha_{2}\) (currently \(1.1547\leq\alpha_{2}\leq 1.214\) ). This approximation guarantee matches the state-of-the-art bound for streaming Steiner tree, i.e., when \(k=1\) , and it is a major open question to improve the ratio to \(1+\varepsilon\) even for this special case. Our approach relies on a novel combination of streaming techniques, like sampling and linear sketching, with the classical Arora-style dynamic-programming framework for geometric optimization problems, which usually requires large memory and so far has not been applied in the streaming setting. We complement our streaming algorithm for the Steiner forest problem with simple arguments showing that any finite multiplicative approximation requires \(\Omega(k)\) bits of space.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1145/3663666
- https://dl.acm.org/doi/pdf/10.1145/3663666
- OA Status
- bronze
- Cited By
- 1
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- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W3103329032Canonical identifier for this work in OpenAlex
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https://doi.org/10.1145/3663666Digital Object Identifier
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Streaming Algorithms for Geometric Steiner ForestWork title
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
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2024-05-07Full publication date if available
- Authors
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Artur Czumaj, Shaofeng H.-C. Jiang, Robert Krauthgamer, Pavel VeselýList of authors in order
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https://doi.org/10.1145/3663666Publisher landing page
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https://dl.acm.org/doi/pdf/10.1145/3663666Direct link to full text PDF
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YesWhether a free full text is available
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bronzeOpen access status per OpenAlex
- OA URL
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https://dl.acm.org/doi/pdf/10.1145/3663666Direct OA link when available
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Steiner tree problem, Combinatorics, Mathematics, Euclidean geometry, Amortized analysis, Discrete mathematics, Data structure, Computer science, Geometry, Programming languageTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2022: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.and | 70, 91, 118, 120, 160, 190, 208 |
| abstract_inverted_index.any | 234 |
| abstract_inverted_index.far | 210 |
| abstract_inverted_index.for | 94, 152, 174, 199, 224 |
| abstract_inverted_index.has | 211 |
| abstract_inverted_index.its | 85 |
| abstract_inverted_index.not | 212 |
| abstract_inverted_index.our | 221 |
| abstract_inverted_index.the | 5, 9, 15, 18, 61, 65, 98, 103, 122, 135, 149, 169, 194, 216, 225 |
| abstract_inverted_index.Each | 77 |
| abstract_inverted_index.This | 145 |
| abstract_inverted_index.been | 213 |
| abstract_inverted_index.bits | 240 |
| abstract_inverted_index.cost | 123 |
| abstract_inverted_index.even | 173 |
| abstract_inverted_index.find | 37 |
| abstract_inverted_index.goal | 34 |
| abstract_inverted_index.grid | 105 |
| abstract_inverted_index.into | 26 |
| abstract_inverted_index.like | 188 |
| abstract_inverted_index.open | 165 |
| abstract_inverted_index.such | 43 |
| abstract_inverted_index.that | 44, 114, 233 |
| abstract_inverted_index.this | 56, 175 |
| abstract_inverted_index.tree | 7 |
| abstract_inverted_index.uses | 115 |
| abstract_inverted_index.when | 157 |
| abstract_inverted_index.with | 84, 193, 229 |
| abstract_inverted_index.[k]\) | 89 |
| abstract_inverted_index.\(G\) | 42, 52 |
| abstract_inverted_index.\(X\) | 75 |
| abstract_inverted_index.\(k\) | 27 |
| abstract_inverted_index.bound | 151 |
| abstract_inverted_index.case. | 177 |
| abstract_inverted_index.class | 47 |
| abstract_inverted_index.close | 133 |
| abstract_inverted_index.color | 28, 46, 86 |
| abstract_inverted_index.every | 45 |
| abstract_inverted_index.graph | 41 |
| abstract_inverted_index.i.e., | 156 |
| abstract_inverted_index.input | 19, 78, 99 |
| abstract_inverted_index.large | 206 |
| abstract_inverted_index.major | 164 |
| abstract_inverted_index.novel | 183 |
| abstract_inverted_index.point | 79 |
| abstract_inverted_index.ratio | 131, 139, 170 |
| abstract_inverted_index.space | 117 |
| abstract_inverted_index.study | 55 |
| abstract_inverted_index.time, | 119 |
| abstract_inverted_index.tree, | 155 |
| abstract_inverted_index.usual | 93 |
| abstract_inverted_index.where | 64 |
| abstract_inverted_index.which | 203 |
| abstract_inverted_index.{\in} | 81, 88 |
| abstract_inverted_index.design | 109 |
| abstract_inverted_index.famous | 136 |
| abstract_inverted_index.finite | 235 |
| abstract_inverted_index.forest | 11, 58, 128, 227 |
| abstract_inverted_index.linear | 191 |
| abstract_inverted_index.memory | 207 |
| abstract_inverted_index.plane: | 17 |
| abstract_inverted_index.points | 73 |
| abstract_inverted_index.relies | 180 |
| abstract_inverted_index.simple | 230 |
| abstract_inverted_index.space. | 242 |
| abstract_inverted_index.stream | 66 |
| abstract_inverted_index.within | 130 |
| abstract_inverted_index.1.214\) | 143 |
| abstract_inverted_index.Steiner | 6, 10, 57, 127, 138, 154, 226 |
| abstract_inverted_index.\(k=1\) | 158 |
| abstract_inverted_index.applied | 214 |
| abstract_inverted_index.arrives | 83 |
| abstract_inverted_index.classes | 29 |
| abstract_inverted_index.dynamic | 95 |
| abstract_inverted_index.improve | 168 |
| abstract_inverted_index.matches | 148 |
| abstract_inverted_index.optimal | 126 |
| abstract_inverted_index.problem | 12, 59, 228 |
| abstract_inverted_index.showing | 232 |
| abstract_inverted_index.special | 176 |
| abstract_inverted_index.usually | 204 |
| abstract_inverted_index.approach | 179 |
| abstract_inverted_index.consider | 1 |
| abstract_inverted_index.consists | 67 |
| abstract_inverted_index.discrete | 104 |
| abstract_inverted_index.multiset | 22 |
| abstract_inverted_index.problem, | 8 |
| abstract_inverted_index.question | 166 |
| abstract_inverted_index.requires | 205, 238 |
| abstract_inverted_index.sampling | 189 |
| abstract_inverted_index.setting, | 63 |
| abstract_inverted_index.setting. | 218 |
| abstract_inverted_index.solution | 129 |
| abstract_inverted_index.streams, | 97 |
| abstract_inverted_index.Euclidean | 16, 40, 137 |
| abstract_inverted_index.\(C_{i}\) | 48 |
| abstract_inverted_index.algorithm | 113, 223 |
| abstract_inverted_index.arguments | 231 |
| abstract_inverted_index.classical | 195 |
| abstract_inverted_index.connected | 50 |
| abstract_inverted_index.deletions | 71 |
| abstract_inverted_index.estimates | 121 |
| abstract_inverted_index.framework | 198 |
| abstract_inverted_index.geometric | 96, 200 |
| abstract_inverted_index.guarantee | 147 |
| abstract_inverted_index.problems, | 202 |
| abstract_inverted_index.streaming | 62, 112, 153, 186, 217, 222 |
| abstract_inverted_index.(currently | 141 |
| abstract_inverted_index.complement | 220 |
| abstract_inverted_index.insertions | 69 |
| abstract_inverted_index.restricted | 101 |
| abstract_inverted_index.sketching, | 192 |
| abstract_inverted_index.Arora-style | 196 |
| abstract_inverted_index.arbitrarily | 132 |
| abstract_inverted_index.combination | 184 |
| abstract_inverted_index.partitioned | 25 |
| abstract_inverted_index.single-pass | 111 |
| abstract_inverted_index.techniques, | 187 |
| abstract_inverted_index.minimum-cost | 39 |
| abstract_inverted_index.optimization | 201 |
| abstract_inverted_index.\(\Omega(k)\) | 239 |
| abstract_inverted_index.approximation | 146, 237 |
| abstract_inverted_index.\(\alpha_{2}\) | 140 |
| abstract_inverted_index.generalization | 3 |
| abstract_inverted_index.multiplicative | 236 |
| abstract_inverted_index.state-of-the-art | 150 |
| abstract_inverted_index.\(1+\varepsilon\) | 172 |
| abstract_inverted_index.\(\mathsf{color}(x) | 87 |
| abstract_inverted_index.dynamic-programming | 197 |
| abstract_inverted_index.\(1.1547\leq\alpha_{2}\leq | 142 |
| abstract_inverted_index.\(\{1,\ldots,\Delta\}^{2}\) | 106 |
| abstract_inverted_index.\(C_{1},\ldots,C_{k}\subseteq | 30 |
| abstract_inverted_index.\(X\subseteq{\mathbb{R}}^{2}\) | 23 |
| abstract_inverted_index.\(\operatorname{poly}(k\cdot\log\Delta)\) | 116 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 4 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/15 |
| sustainable_development_goals[0].score | 0.7300000190734863 |
| sustainable_development_goals[0].display_name | Life in Land |
| citation_normalized_percentile.value | 0.00074 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |