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An Exact Algorithm Based on Chain Implication for the Min-CVCB Problem

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Combinatorial Optimization and Applications (COCOA 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4616))

Abstract

The constrained minimum vertex cover problem on bipartite graphs (the Min-CVCB problem), with important applications in the study of reconfigurable arrays in VLSI design, is an NP-hard problem and has attracted considerable attention in the literature. Based on a deeper and more careful analysis on the structures of bipartite graphs, we develop an exact algorithm of running time \(O((k_u+k_l)|G|+1.1892^{k_u+k_l})\), which improves the best previous algorithm of running time \(O((k_u+k_l)|G|+1.26^{k_u+k_l})\) for the problem.

This research is supported by the National Natural Science Foundation of China (60433020), the Program for New Century Excellent Talents in University (NCET-05-0683) and the Program for Changjiang Scholars and Innovative Research Team in University (IRT0661)

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Andreas Dress Yinfeng Xu Binhai Zhu

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© 2007 Springer-Verlag Berlin Heidelberg

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Wang, J., Xu, X., Liu, Y. (2007). An Exact Algorithm Based on Chain Implication for the Min-CVCB Problem. In: Dress, A., Xu, Y., Zhu, B. (eds) Combinatorial Optimization and Applications. COCOA 2007. Lecture Notes in Computer Science, vol 4616. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73556-4_36

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  • DOI: https://doi.org/10.1007/978-3-540-73556-4_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73555-7

  • Online ISBN: 978-3-540-73556-4

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