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F. Toutounian and S. Karimi, “Global Least Squares (GLLSQR) Method for Solving General Linear Systems with Several Right-Hand Sides,” Applied Mathematics and Computation, Vol. 178, No. 2, 2006, pp. 452-460. doi:10.1016/j.amc.2005.11.065

has been cited by the following article:

• TITLE: A New Iterative Solution Method for Solving Multiple Linear Systems

  AUTHORS: Saeed Karimi

  KEYWORDS: Iterative Method; Multiple Linear Systems; LSQR Method; GL-LSQR Method; Projection Method

  JOURNAL NAME: Advances in Linear Algebra & Matrix Theory, Vol.2 No.3, September 24, 2012

  ABSTRACT: In this paper, a new iterative solution method is proposed for solving multiple linear systems A(i)x(i)=b(i), for 1≤ i ≤ s, where the coefficient matrices A(i) and the right-hand sides b(i) are arbitrary in general. The proposed method is based on the global least squares (GL-LSQR) method. A linear operator is defined to connect all the linear systems together. To approximate all numerical solutions of the multiple linear systems simultaneously, the GL-LSQR method is applied for the operator and the approximate solutions are obtained recursively. The presented method is compared with the well-known LSQR method. Finally, numerical experiments on test matrices are presented to show the efficiency of the new method.