%0 Journal Article
%T Continuous Iteratively Reweighted Least Squares Algorithm for Solving Linear Models by Convex Relaxation
%A Xian Luo
%A Wanzhou Ye
%J Advances in Pure Mathematics
%P 523-533
%@ 2160-0384
%D 2019
%I Scientific Research Publishing
%R 10.4236/apm.2019.96024
%X <div style=\"text-align:justify;\">
	In this paper, we present continuous iteratively reweighted
least squares algorithm (CIRLS) for solving
the linear models problem by convex relaxation, and prove the convergence of
this algorithm. Under some conditions, we give an error bound for the
algorithm. In addition, the numerical result shows the efficiency of the
algorithm.
</div>
%K Linear Models
%K Continuous Iteratively Reweighted Least Squares
%K Convex Relaxation
%K Principal Component Analysis
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=93283