Abstract
In this paper, we study the problem of locally constructing a sparse spanning subgraph (LSSG), introduced by Levi, Ron, and Rubinfeld (ALGO’20). In this problem, the goal is to locally decide for each e ∈ E if it is in G′ where G′ is a connected subgraph of G (determined only by G and the randomness of the algorithm). We provide an LSSG that receives as a parameter a lower bound, ϕ, on the conductance of G whose query complexity is Õ(√n/ϕ2). This is almost optimal when ϕ is a constant since Ω(√n) queries are necessary even when G is an expander. Furthermore, this improves the state of the art of Õ(n2/3) queries for ϕ = Ω(1/n1/12). We then extend our result for (k, ϕin, ϕout)-clusterable graphs and provide an algorithm whose query complexity is Õ(√n + ϕoutn) for constant k and ϕin. This bound is almost optimal when ϕout = O(1/√n).
Original language | English |
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Title of host publication | Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques, APPROX/RANDOM 2024 |
Editors | Amit Kumar, Noga Ron-Zewi |
Publisher | Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing |
ISBN (Electronic) | 9783959773485 |
DOIs | |
State | Published - Sep 2024 |
Event | 27th International Conference on Approximation Algorithms for Combinatorial Optimization Problems, APPROX 2024 and the 28th International Conference on Randomization and Computation, RANDOM 2024 - London, United Kingdom Duration: 28 Aug 2024 → 30 Aug 2024 |
Publication series
Name | Leibniz International Proceedings in Informatics, LIPIcs |
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Volume | 317 |
ISSN (Print) | 1868-8969 |
Conference
Conference | 27th International Conference on Approximation Algorithms for Combinatorial Optimization Problems, APPROX 2024 and the 28th International Conference on Randomization and Computation, RANDOM 2024 |
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Country/Territory | United Kingdom |
City | London |
Period | 28/08/24 → 30/08/24 |
Bibliographical note
Publisher Copyright:© Reut Levi, Moti Medina, and Omer Tubul.
Keywords
- Clusterbale Graphs
- Locally Computable Algorithms
- Spanning Subgraphs
- Sublinear algorithms