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External memory planar point location with logarithmic updates
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Annual Symposium on Computational Geometry archive
Proceedings of the twenty-fourth annual symposium on Computational geometry table of contents
College Park, MD, USA
SESSION: 4 table of contents
Pages 139-147  
Year of Publication: 2008
ISBN:978-1-60558-071-5
Authors
Lars Arge  University of Aarhus, Aarhus, Denmark
Gerth Stølting Brodal  University of Aarhus, Aarhus, Denmark
S. Srinivasa Rao  University of Aarhus, Aarhus, Denmark
Sponsors
ACM: Association for Computing Machinery
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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ABSTRACT

Point location is an extremely well-studied problem both in internal memory models and recently also in the external memory model. In this paper, we present an I/O-efficient dynamic data structure for point location in general planar subdivisions. Our structure uses linear space to store a subdivision with N segments. Insertions and deletions of segments can be performed in amortized O(logB N) I/Os and queries can be answered in O(logB2 N) I/Os in the worst-case. The previous best known linear space dynamic structure also answers queries in O(logB2 N) I/Os, but only supports insertions in amortized O(logB2 N) I/Os. Our structure is also considerably simpler than previous structures.


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:
Lars Arge: colleagues
Gerth Stølting Brodal: colleagues
S. Srinivasa Rao: colleagues