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dc.contributor.authorVan Loan, Charlesen_US
dc.date.accessioned2007-04-23T16:51:12Z
dc.date.available2007-04-23T16:51:12Z
dc.date.issued1984-03en_US
dc.identifier.citationhttp://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR84-604en_US
dc.identifier.urihttps://hdl.handle.net/1813/6444
dc.description.abstractThe generalized singular value decomposition is used to analyze the problem of minimizing $||Ax - b||_{2}$ subject to the constraint Bx = d. A byproduct of the analysis is a new iterative procedure that can be used to improve an approximate solution obtained via the method of weights. All that is required to implement the procedure is a single QR factorization. These developments turn out to be of interest when A and B are sparse and for the case when systolic architectures are used to carry out the computations.en_US
dc.format.extent1253193 bytes
dc.format.extent451107 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/postscript
dc.language.isoen_USen_US
dc.publisherCornell Universityen_US
dc.subjectcomputer scienceen_US
dc.subjecttechnical reporten_US
dc.titleOn the Method of Weighting for Equality Constrained Least Squares Problemsen_US
dc.typetechnical reporten_US


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