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	Browse All Reviews > Mathematics Of Computing (G) > Numerical Analysis (G.1) > Numerical Linear Algebra (G.1.3) > Singular Value Decomposition (G.1.3...)     Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Publisher Published Date Descending Ascending     1-5 of 5 Reviews about "Singular Value Decomposition (G.1.3...)": Date Reviewed   An improved parallel singular value algorithm and its implementation for multicore hardware Haidar A., Kurzak J., Luszczek P.  SC13 (Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, Denver, CO, Nov 17-22, 2013) 1-12, 2013.  Type: Proceedings The singular value decomposition (SVD) has numerous applications, including signal processing, data compression, principal component analysis (PCA), pattern recognition, and so on. Many applications involve large-size data matrices; ho... Mar 25 2014   Fast algorithms for approximating the singular value decomposition Menon A., Elkan C. ACM Transactions on Knowledge Discovery from Data 5(2): 1-36, 2011.  Type: Article In this paper, the authors address generating a low-rank approximation to an existing matrix, which is close to the original matrix in some sense. Such approximations arise in a number of application areas, including semantic analysis,... May 6 2011   The generalized singular value decomposition and the method of particular solutions Betcke T. SIAM Journal on Scientific Computing 30(3): 1278-1295, 2008.  Type: Article In this paper, the author considers the solution of the eigenvalue problem for differential operators in a bounded region in the plane, using the method of particular solutions (MPS) (sometimes called the point matching method). Betcke... Mar 20 2009   A μ approach to robust stability analysis of nD discrete systems Xu L., Wu Q., Lin Z., Anazawa Y. Multidimensional Systems and Signal Processing 15(3): 277-293, 2004.  Type: Article This paper develops a stability analysis technique for n-dimensional linear systems that exploits MATLAB capabilities. The principal component of such a system is its system matrix A, which is squa... Nov 4 2005   Algorithms for computing the QR decomposition of a set of matrices with common columns Yanev P., Foschi P., Kontoghiorghes . Algorithmica 39(1): 83-93, 2004.  Type: Article The subject of QR factorization is central to much of the linear parameter estimation technology. This paper considers algorithms for computing QR matrix decomposition in the case of a sequence of matrices that have common columns. Thi... Jun 1 2005
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