@techreport{891601, abstract = {The truncated singular value decomposition (SVD) is considered as a method for regularization of ill-posed linear least squares problems. In particular, the truncated SVD solution is compared with the usual regularized solution. Necessary conditions are defined in which the two methods will yield similar results. This investigation suggests the truncated SVD as a favorable alternative to standard-form regularization in case of ill-conditioned matrices with a well-determined rank.}, address = {Stanford, CA, USA}, author = {Hansen, Per C}, interhash = {fb80b54fa51bf03e59980dc1e6a170e4}, intrahash = {ad995682545c5a74bcb4d273bc900800}, publisher = {Stanford University}, source = {http://www.ncstrl.org:8900/ncstrl/servlet/search?formname=detail\&id=oai%3Ancstrlh%3Astan%3ASTAN%2F%2FNA-M-86-36}, title = {The truncated SVD as a method for regularization}, url = {http://portal.acm.org/citation.cfm?id=891601}, year = 1986 } @article{78499, abstract = { Computing truncated singular value decomposition least squares solutions by rank revealing QR-factorizations
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Computing truncated singular value decomposition least squares solutions by rank revealing QR-factorizations
Source SIAM Journal on Scientific and Statistical Computing archive
Volume 11 ,  Issue 3  (May 1990) table of contents
Pages: 519 - 530  
Year of Publication: 1990
ISSN:0196-5204
Authors
Publisher
Society for Industrial and Applied Mathematics  Philadelphia, PA, USA
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cited by   index terms   collaborative colleagues  

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DOI Bookmark: 10.1137/0911029


Collaborative Colleagues:
Tony F. Chan: colleagues
Per Christian Hansen: colleagues

}, address = {Philadelphia, PA, USA}, author = {Chan, Tony F. and Hansen, Per Christian}, doi = {http://dx.doi.org/10.1137/0911029}, interhash = {2b726f44b73d5f4344ec672b6ba15948}, intrahash = {2890d06aaac6e75f62984de8b61fb938}, issn = {0196-5204}, journal = {SIAM J. Sci. Stat. Comput.}, number = 3, pages = {519--530}, publisher = {Society for Industrial and Applied Mathematics}, title = {Computing truncated singular value decomposition least squares solutions by rank revealing QR-factorizations}, url = {http://portal.acm.org/citation.cfm?id=78499}, volume = 11, year = 1990 }