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New techniques for computing order statistics in Euclidean space (extended abstract)
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Source Annual Symposium on Computational Geometry archive
Proceedings of the first annual symposium on Computational geometry table of contents
Baltimore, Maryland, United States
Pages: 125 - 134  
Year of Publication: 1985
ISBN:0-89791-163-6
Author
Bernard Chazelle  Department of Computer Science, Brown University, Providence, RI
Sponsors
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 5,   Downloads (12 Months): 19,   Citation Count: 4
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ABSTRACT

Given a finite point-set S in E2, how hard is it to compute the &kgr;th largest interdistance, or say, the &kgr;th largest slope or &kgr;th largest triangular area formed by points of S? We examine the complexity of a general class of problems built from these examples, and present a number of techniques for deriving nontrivial upper bounds. Surprisingly, these bounds often match or come very close to the complexity of the corresponding extremal problems (e.g. computing the largest or smallest interdistance, slope, etc.)


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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