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Computing hereditary convex structures
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Annual Symposium on Computational Geometry archive
Proceedings of the 25th annual symposium on Computational geometry table of contents
Aarhus, Denmark
SESSION: Monday, June 8th, 1:30-2:30 pm table of contents
Pages 61-70  
Year of Publication: 2009
ISBN:978-1-60558-501-7
Authors
Bernard Chazelle  Princeton University, Princeton, NJ, USA
Wolfgang Mulzer  Princeton University, Princeton, NJ, USA
Sponsors
ACM: Association for Computing Machinery
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

Color red and blue the n vertices of a convex polytope P in R3. Can we compute the convex hull of each color class in o(n log n)? What if we have k > 2 colors? What if the colors are random? Consider an arbitrary query halfspace and call the vertices of P inside it blue: can the convex hull of the blue points be computed in time linear in their number? More generally, can we quickly compute the blue hull without looking at the whole polytope? This paper considers several instances of hereditary computation and provides new results for them. In particular, we resolve an eight-year old open problem by showing how to split a convex polytope in linear expected time.


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:
Bernard Chazelle: colleagues
Wolfgang Mulzer: colleagues