Branch-and-Reduce Exponential/FPT Algorithms in Practice: A Case Study of Vertex Cover
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Abstract (arXiv)
We investigate the gap between theory and practice for exact branching algorithms. In theory, branch-and-reduce algorithms currently have the best time complexity for numerous important problems. On the other hand, in practice, state-of-the-art methods are based on different approaches, and the empirical efficiency of such theoretical algorithms have seldom been investigated probably because they are seemingly inefficient because of the plethora of complex reduction rules. In this paper, we design a branch-and-reduce algorithm for the vertex cover problem using the techniques developed for theoretical algorithms and compare its practical performance with other state-of-the-art empirical methods. The results indicate that branch-and-reduce algorithms are actually quite practical and competitive with other state-of-the-art approaches for several kinds of instances, thus showing the practical impact of theoretical research on branching algorithms.
Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). First posted on arXiv 11 Nov 2014.
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Citing papers per year: 2022: 3; 2023: 2; 2024: 1; 2025: 1; 2026: 1.
8 papers.
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- 2026frb100-40 After Two Decades: An Optimality Certificate and a Preregistered Search Study2 Sep 2026
- 2025Unrealized Expectations: Comparing AI Methods vs Classical Algorithms for Maximum Independent Set5 Feb 2025
- 2024A short review on the maximum clique problem algorithms with classical, AI, and quantum methods13 Mar 2024
- 2023A Dual-mode Local Search Algorithm for Solving the Minimum Dominating Set Problem25 Jul 2023
- 2023Improved Exact and Heuristic Algorithms for Maximum Weight Clique1 Feb 2023
- 2022Mining Large Independent Sets on Massive Graphs16 Aug 2022
- 2022A Differentiable Approach to Combinatorial Optimization using Dataless Neural Networks15 Mar 2022
- 2022Augment with Care: Contrastive Learning for Combinatorial Problems17 Feb 2022