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A non-linear structure preserving matrix method for the low rank approximation of the Sylvester resultant matrix
Authors:Joab R Winkler  Madina Hasan
Institution:Department of Computer Science, The University of Sheffield, Regent Court, 211 Portobello Street, Sheffield S1 4DP, United Kingdom
Abstract:A non-linear structure preserving matrix method for the computation of a structured low rank approximation View the MathML source of the Sylvester resultant matrix S(f,g) of two inexact polynomials f=f(y) and g=g(y) is considered in this paper. It is shown that considerably improved results are obtained when f(y) and g(y) are processed prior to the computation of View the MathML source, and that these preprocessing operations introduce two parameters. These parameters can either be held constant during the computation of View the MathML source, which leads to a linear structure preserving matrix method, or they can be incremented during the computation of View the MathML source, which leads to a non-linear structure preserving matrix method. It is shown that the non-linear method yields a better structured low rank approximation of S(f,g) and that the assignment of f(y) and g(y) is important because View the MathML source may be a good structured low rank approximation of S(f,g), but View the MathML source may be a poor structured low rank approximation of S(g,f) because its numerical rank is not defined. Examples that illustrate the differences between the linear and non-linear structure preserving matrix methods, and the importance of the assignment of f(y) and g(y), are shown.
Keywords:Sylvester matrix  Structured low rank approximation
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