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Biased range trees
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Proceedings of the Nineteenth Annual ACM -SIAM Symposium on Discrete Algorithms table of contents
New York, New York
Pages 486-495  
Year of Publication: 2009
Authors
Vida Dujmović  Carleton University
John Howat  Carleton University
Pat Morin  Carleton University
Publisher
Society for Industrial and Applied Mathematics  Philadelphia, PA, USA
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ABSTRACT

A data structure, called a biased range tree, is presented that preprocesses a set S of n points in R2 and a query distribution D for 2-sided orthogonal range counting queries. The expected query time for this data structure, when queries are drawn according to D, matches, to within a constant factor, that of the optimal comparison tree for S and D. The memory and preprocessing requirements of the data structure are O(n log n).


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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P. K. Agarwal and J. Erickson. Geometric range searching and its relatives. In B. Chazelle, J. E. Goodman, and R. Pollack, editors, Advances in Discrete and Computational Geometry, volume 223 of Contemporary Mathematics, pages 1--56. American Mathematical Society Press, 1999.
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K. Mehlhorn. Nearly optimal binary search trees. Acta Informatica, 5:287--295, 1975.
 
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A. C. Yao. On the complexity of maintaining partial sums. SIAM Journal on Computing, 14:277--288, 1985.

Collaborative Colleagues:
Vida Dujmović: colleagues
John Howat: colleagues
Pat Morin: colleagues