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Numerical algebraic geometry and symbolic computation
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Proceedings of the 2004 international symposium on Symbolic and algebraic computation table of contents
Santander, Spain
Pages: 3 - 3  
Year of Publication: 2004
ISBN:1-58113-827-X
Author
Jan Verschelde  University of Illinois at Chicago, Chicago, IL
Sponsors
ACM: Association for Computing Machinery
SIGSAM: ACM Special Interest Group on Symbolic and Algebraic Manipulation
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 4,   Downloads (12 Months): 14,   Citation Count: 1
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ABSTRACT

In a recent joint work with Andrew Sommese and Charles Wampler, numerical homotopy continuation methods have been developed to deal with positive dimensional solution sets of polynomial systems. As solving polynomial systems is such a fundamental problem, connections with recent research in symbolic computation are not hard to find. We will address two such connections.One part of the numerical output of our methods consists of a "membership test" used to determine whether a point lies on apositive dimensional solution component. While Grobner bases provide an exact answer to the ideal membership test, geometrical results can be obtained at a lower complexity, as shown by Marc Giusti and Joos Heintz [6]. The recent work of Gregoire Lecerf [7, 9] implements an irreducible decomposition in a symbolic manner.The factorization of multivariate polynomials with approximate coefficients was posed as an open problem in symbolic computation by Erich Kaltofen [8]. Providing a certificate for a numerical factorization by means of the linear trace is related to ideas of André Galligo and David Rupprecht [3, 4], which also appears in the works of Tateaki Sasaki [10] and collaborators. See also [1, 2] and [5].


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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R. Corless, A. Galligo, I. Kotsireas, and S. Watt. A geometric-numeric algorithm for factoring multivariate polynomials.
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M. Giusti and J. Heintz. La détermination de la dimension et des points isolées d'une variété algébrique peuvent s'effectuer en temps polynomial. In D. Eisenbud and L. Robbiano, editors, Computational Algebraic Geometry and Commutative Algebra, Cortona 1991, pages 216--256. Cambridge UP, 1993.
 
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