Regularized Matrix Computations

  • Yagle A
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Abstract

We review the basic results on: (1) the singular value decomposition (SVD); (2) sensitivity and conditioning of solutions of linear systems of equa- tions; (3) regularization; and (4) iterative solution of linear systems of equations. These are applied to the speci¯c problem of computing a matrix null vector.

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APA

Yagle, A. E. (2005). Regularized Matrix Computations, (1), 1–7. Retrieved from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.124.1776&rep=rep1&type=pdf

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