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 Limited preview -
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