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Minimizing the stabbing number of matchings, trees, and triangulations
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Source Symposium on Discrete Algorithms archive
Proceedings of the fifteenth annual ACM-SIAM symposium on Discrete algorithms table of contents
New Orleans, Louisiana
SESSION: Session 5A table of contents
Pages: 437 - 446  
Year of Publication: 2004
ISBN:0-89871-558-X
Authors
Sándor P. Fekete  Braunschweig University of Technology, Braunschweig, Germany
Marco E. Lübbecke  Technische Universität Berlin, Berlin, Germany
Henk Meijer  Queen's University, Kingston, Ontario, Canada
Sponsor
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
Publisher
Society for Industrial and Applied Mathematics  Philadelphia, PA, USA
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ABSTRACT

The (axis-parallel) stabbing number of a given set of line segments is the maximum number of segments that can be intersected by any one (axis-parallel) line. We investigate problems of finding perfect matchings, spanning trees, or triangulations of minimum stabbing number for a given set of points. The complexity of these problems has been a long-standing open problem; in fact, it is one of the original 30 outstanding open problems in computational geometry on the list by Demaine, Mitchell, and O'Rourke.We show that minimum stabbing problems are NP-complete. We also show that an iterated rounding technique is applicable for matchings and spanning trees of minimum stabbing number by showing that there is a polynomially solvable LP-relaxation that has fractional solutions with at least one heavy edge. This suggests constant-factor approximations. Our approach uses polyhedral methods that are related to another open problem (from a combinatorial optimization list), in combination with geometric properties. We also demonstrate that the resulting techniques are practical for actually solving problems with up to several hundred points optimally or near-optimally.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Sándor P. Fekete: colleagues
Marco E. Lübbecke: colleagues
Henk Meijer: colleagues

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