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  • 标题:Improved Non-approximability Results for Minimum Vertex Cover with Density Constraints
  • 本地全文:下载
  • 作者:Andrea E. F. Clementi ; Luca Trevisan
  • 期刊名称:Electronic Colloquium on Computational Complexity
  • 印刷版ISSN:1433-8092
  • 出版年度:1996
  • 卷号:1996
  • 出版社:Universität Trier, Lehrstuhl für Theoretische Computer-Forschung
  • 摘要:We provide new non-approximability results for the restrictions of the min-VC problem to bounded-degree, sparse and dense graphs. We show that for a sufficiently large B, the recent 16/15 lower bound proved by Bellare et al. extends with negligible loss to graphs with bounded degree B. Then, we consider sparse graphs with no dense components (i.e. everywhere sparse graphs), and we show a similar result but with a better trade-off between non-approximability and sparsity. Finally, we observe that the min-VC problem remains APX-complete when restricted to dense graph and thus recent techniques developed for several MAXSNP problems restricted to ``dense'' instances introduced by Arora et al. cannot be applied.
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