A non-linear structure preserving matrix method for the low rank approximation of the Sylvester resultant matrix
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Publication:989131
DOI10.1016/j.cam.2010.04.013zbMath1196.65083OpenAlexW2018906756MaRDI QIDQ989131
Madina Hasan, Winkler, Joab R.
Publication date: 27 August 2010
Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cam.2010.04.013
numerical examplesSylvester resultant matrixstructured low rank approximationinexact polynomialsnon-linear structure preserving matrix method
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Related Items (11)
Polynomial computations for blind image deconvolution ⋮ The computation of the degree of an approximate greatest common divisor of two Bernstein polynomials ⋮ A non-linear structure-preserving matrix method for the computation of the coefficients of an approximate greatest common divisor of two Bernstein polynomials ⋮ The Sylvester Resultant Matrix and Image Deblurring ⋮ The calculation of the degree of an approximate greatest common divisor of two polynomials ⋮ SLRA Interpolation for Approximate GCD of Several Multivariate Polynomials ⋮ The computation of multiple roots of a polynomial ⋮ Overdetermined Weierstrass iteration and the nearest consistent system ⋮ Structured matrix methods for the computation of multiple roots of a polynomial ⋮ Two methods for the calculation of the degree of an approximate greatest common divisor of two inexact polynomials ⋮ Real polynomial root-finding by means of matrix and polynomial iterations
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- QR-factorization method for computing the greatest common divisor of polynomials with inexact coefficients
- Polynomial Scaling
- Structured Total Least Norm for Nonlinear Problems
- Total Least Norm Formulation and Solution for Structured Problems
- <tex>$QR$</tex>Factoring to Compute the GCD of Univariate Approximate Polynomials
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