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The power of nonmonotonicity in geometric searching
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Source Annual Symposium on Computational Geometry archive
Proceedings of the eighteenth annual symposium on Computational geometry table of contents
Barcelona, Spain
Pages: 88 - 93  
Year of Publication: 2002
ISBN:1-58113-504-1
Author
Bernard Chazelle  Princeton University and NEC Research Institute
Sponsors
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 5,   Downloads (12 Months): 11,   Citation Count: 0
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ABSTRACT

(MATH) We define a close variant of line range searching over the reals and prove that its arithmetic complexity is $\Theta(n log n) if field operations are allowed and $\Theta(n 3/2) if only additions are. This provides the first nontrivial separation between the monotone and nonmonotone complexity of a range searching problem. The result puts into question the widely held belief that range searching for nonisothetic shapes typically requires &OHgr;(n 1+c) arithmetic operations, for some constant c>0.


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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Agarwal, P.K., Erickson, J. Geometric range searching and its relatives, in "Advances in Discrete and Computational Geometry," eds. Chazelle, B., Goodman, J.E., Pollack, R., Contemporary Mathematics 223, Amer. Math. Soc., 1999, pp. 1--56.
 
2
Artin, M. Algebra, Prentice Hall, 1991.
 
3
Baum, U., Clausen, M., Tietz, B. Improved upper complexity bounds for the discrete Fourier transform, Applicable Algebra in Engineering, Communication and Computing 2 (1991), 35--43.
 
4
 
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Chazelle, B. Lower bounds for off-line range searching, Disc. Comput. Geom. 17 (1997), 53--65.
 
6
Chazelle, B., Lvov, A. A trace bound for the hereditary discrepancy, Disc. Comput. Geom. 26 (2001), 221--231.
 
7
 
8
 
9
Hardy, G.H., Wright, E.M. An Introduction to the Theory of Numbers, 5th ed., Oxford Science Publications, 1979.
 
10
Maslen, D.K., Rockmore, D.N. Generalized FFTS - A survey of some recent results, in "Groups and Computation II", eds. L. Finkelstein and W.M. Kantor, DIMACS Series in Disc. Math. and Theoret. Comput. Sci. 28 (1997), 183--237.
 
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Matoušek, J. Range searching with efficient hierarchical cuttings, Disc. Comput. Geom. 10 (1993), 157--182.
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