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On the complexity of halfspace area queries
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Source Annual Symposium on Computational Geometry archive
Proceedings of the seventeenth annual symposium on Computational geometry table of contents
Medford, Massachusetts, United States
Pages: 207 - 211  
Year of Publication: 2001
ISBN:1-58113-357-X
Author
Stefan Langerman  Computer Science Department, Rutgers University
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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ABSTRACT

Given a non convex simple polygon $P$, is it possible to construct a d ata structure which after preprocessing can answer halfspace area queries (i.e. given a line, determine the area of the portion of the polygon above the line) in $o(n)$ time? We answer negatively, proving a $\Omega(n)$ lower bound on the query time of any data structure performing this task. We then consider the batched version of the same problem: given a polygon $P$ with $n$ vertices, and $k$ query lines, we present an algorithm that computes the area of $P$ on both sides of each line in $O^{*}(n^{3/5}k^{4/5}+n+k)$ time. Variants of our method allow the query of a collection of weighted polygons with or without holes, and solve several other related problems within the same time bounds.


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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