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Recognizing string graphs in NP
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Source Annual ACM Symposium on Theory of Computing archive
Proceedings of the thiry-fourth annual ACM symposium on Theory of computing table of contents
Montreal, Quebec, Canada
SESSION: Session 1A table of contents
Pages: 1 - 6  
Year of Publication: 2002
ISBN:1-58113-495-9
Authors
Marcus Schaefer  DePaul University, Chicago, IL
Eric Sedgwick  DePaul University, Chicago, IL
Daniel Štefankovič  University of Chicago, Chicago, IL
Sponsor
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
Publisher
ACM  New York, NY, USA
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ABSTRACT

A string graph is the intersection graph of a set of curves in the plane. Each curve is represented by a vertex, and an edge between two vertices means that the corresponding curves intersect. We show that string graphs can be recognized in NP. The recognition problem was not known to be decidable until very recently, when two independent papers established exponential upper bounds on the number of intersections needed to realize a string graph [18, 20]. These results implied that the recognition problem lies in NEXP. In the present paper we improve this by showing that the recognition problem for string graphs is in NP, and therefore NP-complete, since Kratochvíl [12] showed that the recognition problem is NP-hard. The result has consequences for the computational complexity of problems in graph drawing, and topological inference.


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:
Marcus Schaefer: colleagues
Eric Sedgwick: colleagues
Daniel Štefankovič: colleagues