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A class of convex programs with applications to computational geometry
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Source Annual Symposium on Computational Geometry archive
Proceedings of the eighth annual symposium on Computational geometry table of contents
Berlin, Germany
Pages: 9 - 15  
Year of Publication: 1992
ISBN:0-89791-517-8
Author
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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Downloads (6 Weeks): 4,   Downloads (12 Months): 29,   Citation Count: 9
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ABSTRACT

We consider the solution of convex programs in a small number of variables but large number of constraints, where all but a small number of the constraints are linear. We develop a general framework for obtaining algorithms for these problems which run in time linear in the number of constraints. We give an application to computing minimum spanning ellipsoids in fixed dimension.


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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K. L. Clarkson, "ALas Vegas algorithm for linear programming when the dimension is small", Proc. 29th IEEE Symposium on Foundations of Computer Science, 1988, pp 452-456.
 
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D. P. Dobkin and D. G. Kirkpatrick, "A linear algorithm for determining the separation of convex polyhedra", Journal of Algorithms 6 (1985), 381-393.
 
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M. GrStschel, L. Lovg~z and A. Schrijvcr, Geometric algorithms and combinatorial optimization, Springer, Berlin, 1988.
 
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N. Jacobson, Basic algebra I (Second edition), Freeman, New York, 1985.
 
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N. Megiddo, "Linear programming in linear time when the dimension is fixed", SIAM Journal on Computing 12 (1983), 759-776.
 
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M. Minoux, Mathematical programming-ih~o~?I and algorithms, Wiley, Chichester, 1986.
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J. Renegar, "A faster PSPACE algorithm for deciding the existential theory of the reals", Proc. ~gth IEEE Symposium on Foundations of Computer Science, 1988, pp 291-295.
 
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E. Welzl, "Smallest enclosing disks (balls and ellipsoids)'', to appear in New Results and New Trends in Computer Science, (H. Maurer, Ed.), Lecture Notes in Computer Science, 1991.

CITED BY  9