swMATH ID: 11262
Software Authors: Usevich, Konstantin; Markovsky, Ivan
Description: Variable projection methods for approximate GCD computations. This paper presents optimization methods and software for the approximate GCD problem of multiple univariate polynomials in the weighted 2-norm. Backward error minimization and Sylvester low-rank approximation formulations of the problem are solved by the variable projection method. Optimization methods are implemented in publicly available C++ software package with an interface to MATLAB. Results on computational complexity are presented.
Homepage: https://github.com/slra/slra
Source Code:  https://github.com/slra/slra
Related Software: GPGCD; Daisy; MultRoot; TSDL; IDENT; GSL; Matlab; Noweb; SDPLR; TEASER++; SE-Sync; CVX; BioSSA; svd; Rssa; devtools; raster; forecast; FFTW; R
Cited in: 23 Publications

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Variable projection methods for approximate GCD computations
Usevich, Konstantin; Markovsky, Ivan

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