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" The singular value decomposition. The singular value decomposition (SVD) of a matrix A € Rmxn is a matrix decomposition of great theoretical and practical importance for the treatment of least squares problems. "
Aided Navigation: GPS with High Rate Sensors - Page 468
by Jay A. Farrell - 2008 - 500 pages
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Iterative Methods for Toeplitz Systems

Michael K. Ng - Computers - 2004 - 370 pages
...pair of integers j, k such that 1 < j, k < n and j + k > n + 1, we have NOTATIONS AND DEFINITIONS 1.5 Singular value decomposition The singular value decomposition (SVD) of a matrix A 6 Cmx" is a matrix decomposition of great theoretical and practical importance in matrix computations....
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