Parallel algorithms for downdating the l
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Petko I. Yanev; Erricos J. Kontoghiorghes
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Article
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2008
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Elsevier Science
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English
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Computationally efficient parallel algorithms for downdating the least squares estimator of the ordinary linear regression are proposed. The algorithms, which are based on the QR decomposition, are block versions of sequential Givens strategies and efficiently exploit the triangular structure of the