A Single-Exponential Time 2-Approximation Algorithm for Treewidth
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Abstract (arXiv)
We give an algorithm that, given an n-vertex graph G and an integer k, in time 2O(k) n either outputs a tree decomposition of G of width at most 2k + 1 or determines that the treewidth of G is larger than k. This is the first 2-approximation algorithm for treewidth that is faster than the known exact algorithms, and in particular improves upon the previous best approximation ratio of 5 in time 2O(k) n given by Bodlaender et al. [SIAM J. Comput., 45 (2016)]. Our algorithm works by applying incremental improvement operations to a tree decomposition, using an approach inspired by a proof of Bellenbaum and Diestel [Comb. Probab. Comput., 11 (2002)].
Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). First posted on arXiv 15 Apr 2021.
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Citing papers per year: 2022: 2; 2023: 4; 2024: 0; 2025: 1; 2026: 1.
8 papers.
- 2023A Fixed-Parameter Tractable Algorithm for Counting Markov Equivalence Classes with the same Skeletoncited by 1
- 2023The Computational Complexity of Concise Hypersphere Classificationcited by 1
- 2025The Parameterized Complexity of Computing the VC-Dimensioncited by 1
- 2022Ontology-Mediated Querying on Databases of Bounded Cliquewidthcited by 0
- 2022From Width-Based Model Checking to Width-Based Automated Theorem Provingcited by 0
- 2023Local Fragments, Global Gains: Subgraph Counting using Graph Neural Networkscited by 0
- 2023Description Logics with Abstraction and Refinementcited by 0
- 2026Fixed-Parameter Tractability of Private Synthetic Data Generationcited by 0
- 2026Fixed-Parameter Tractability of Private Synthetic Data Generation9 Jun 2026
- 2025The Parameterized Complexity of Computing the VC-Dimension20 Oct 2025
- 2023The Computational Complexity of Concise Hypersphere Classification12 Dec 2023
- 2023A Fixed-Parameter Tractable Algorithm for Counting Markov Equivalence Classes with the same Skeleton6 Oct 2023
- 2023Description Logics with Abstraction and Refinement6 Jun 2023
- 2023Local Fragments, Global Gains: Subgraph Counting using Graph Neural Networks31 May 2023
- 2022From Width-Based Model Checking to Width-Based Automated Theorem Proving23 May 2022
- 2022Ontology-Mediated Querying on Databases of Bounded Cliquewidth4 May 2022