DocumentCode :
3194905
Title :
Nonlinear polynomial systems: multiple roots and their multiplicities
Author :
Ko, K.H. ; Sakkalis, T. ; Patrikalakis, N.M.
Author_Institution :
Massachusetts Inst. of Technol., Cambridge, MA, USA
fYear :
2004
fDate :
7-9 June 2004
Firstpage :
87
Lastpage :
98
Abstract :
We present methods for the computation of roots of univariate and bivariate nonlinear polynomial systems as well as the identification of their multiplicity. We first present an algorithm, called the TDB algorithm, which computes the values and the multiplicities of roots of a univariate polynomial. The procedure is based on the concept of the degree of a certain Gauss map, which is deduced from the polynomial itself. In the bivariate case, we use a combination of resultants and our procedure for the univariate case, as the basis for developing an algorithm for locating the roots and computing their multiplicities. Our methods are robust and global in nature. Complexity analysis of the proposed methods is included together with comparison with standard subdivision methods. Examples illustrate our techniques.
Keywords :
computational complexity; computational geometry; polynomials; Cauchy index; Gauss map; TDB algorithm; bivariate nonlinear polynomial systems; complexity analysis; multiple roots; multiplicity identification; topological degree; univariate nonlinear polynomial systems; Clustering algorithms; Control theory; Eigenvalues and eigenfunctions; Floating-point arithmetic; Gaussian processes; High performance computing; Nonlinear equations; Polynomials; Robustness; Roundoff errors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Shape Modeling Applications, 2004. Proceedings
Print_ISBN :
0-7695-2075-8
Type :
conf
DOI :
10.1109/SMI.2004.1314496
Filename :
1314496
Link To Document :
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