Edge Bipartization Faster than $$2^k$$ 2 k

Autor: Michał Pilipczuk, Marcin Pilipczuk, Marcin Wrochna
Rok vydání: 2017
Předmět:
Zdroj: Algorithmica. 81:917-966
ISSN: 1432-0541
0178-4617
DOI: 10.1007/s00453-017-0319-z
Popis: In the Edge Bipartization problem one is given an undirected graph G and an integer k, and the question is whether k edges can be deleted from G so that it becomes bipartite. Guo et al. (J Comput Syst Sci 72(8):1386–1396, 2006) proposed an algorithm solving this problem in time $$\mathcal {O}(2^k\cdot {m}^2)$$ ; today, this algorithm is a textbook example of an application of the iterative compression technique. Despite extensive progress in the understanding of the parameterized complexity of graph separation problems in the recent years, no significant improvement upon this result has been yet reported. We present an algorithm for Edge Bipartization that works in time $$\mathcal {O}(1.977^k\cdot {nm})$$ , which is the first algorithm with the running time dependence on the parameter better than $$2^k$$ . To this end, we combine the general iterative compression strategy of Guo et al. (2006), the technique proposed by Wahlstrom (in: Proceedings of SODA’14, SIAM, 2014) of using a polynomial-time solvable relaxation in the form of a Valued Constraint Satisfaction Problem to guide a bounded-depth branching algorithm, and an involved Measure&Conquer analysis of the recursion tree.
Databáze: OpenAIRE
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