A Single-Exponential Time 2-Approximation Algorithm for Treewidth
Tuukka Korhonen
2021年份
49被引次数
22顶会引用
摘要
We give an algorithm, that given an n-vertex graphand an integer k, in time 2O(k)n either outputs a tree decomposition ofof width at most 2k + 1 or determines that the treewidth ofis larger than k. This is the first 2-approximation algorithm for treewidth that is faster than the known exact algorithms. In particular, our algorithm improves upon both the previous best approximation ratio of 5 in time 2O(k)n and the previous best approximation ratio of 3 in time 2O(k)nO(1), both given by Bodlaender et al. [FOCS 2013, SICOMP 2016]. Our algorithm is based on a local improvement method adapted from a proof of Bellenbaum and Diestel [Comb. Probab. Comput. 2002].
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引用它的顶会 Paper22
- Fast FPT-approximation of branchwidthFedor V. Fomin, Tuukka KorhonenSTOC 2022 · 被引用 12 次
- An Improved Parameterized Algorithm for TreewidthTuukka Korhonen, Daniel LokshtanovSTOC 2023 · 被引用 12 次
- Fast and Optimal Extraction for Sparse Equality GraphsAmir Kafshdar Goharshady, Chun Kit Lam, Lionel ParreauxOOPSLA 2024 · 被引用 11 次
- A logic-based algorithmic meta-theorem for mim-widthBenjamin Bergougnoux, Jan Dreier, Lars JaffkeSODA 2023 · 被引用 9 次
- Path Cover, Hamiltonicity, and Independence Number: An FPT PerspectiveFedor V. Fomin, Petr A. Golovach, Nikola Jedlicková, Jan Kratochvíl 等STOC 2026 · 被引用 7 次
它引用的顶会 Paper4
- A Parameterized Approximation Scheme for Min -CutDaniel Lokshtanov, Saket Saurabh, Vaishali SurianarayananFOCS 2020 · 被引用 22 次
- Fast FPT-approximation of branchwidthFedor V. Fomin, Tuukka KorhonenSTOC 2022 · 被引用 12 次
- An Improved Parameterized Algorithm for TreewidthTuukka Korhonen, Daniel LokshtanovSTOC 2023 · 被引用 12 次
- Dynamic treewidthTuukka Korhonen, Konrad Majewski, Wojciech Nadara, Michal Pilipczuk 等FOCS 2023 · 被引用 2 次
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- Linear-Time Algorithms for k-Edge-Connected Components, k-Lean Tree Decompositions, and MoreTuukka KorhonenSTOC 2025
- Finding sparse induced subgraphs on graphs of bounded induced matching treewidthHans L. Bodlaender, Fedor V. Fomin, Tuukka KorhonenSODA 2026
