Mixed and component wise condition numbers for weighted Moore-Penrose inverse and weighted least squares problems
نویسندگان
چکیده
منابع مشابه
On mixed and componentwise condition numbers for Moore-Penrose inverse and linear least squares problems
Classical condition numbers are normwise: they measure the size of both input perturbations and output errors using some norms. To take into account the relative of each data component, and, in particular, a possible data sparseness, componentwise condition numbers have been increasingly considered. These are mostly of two kinds: mixed and componentwise. In this paper, we give explicit expressi...
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1School of Mathematics and Statistics, Key Laboratory for Applied Statistics of MOE, Northeast Normal University, Chang Chun 130024, China 2School of Mathematical Sciences, Ocean University of China, Qingdao, 266100, China 3School of Mathematical Sciences and Shanghai Key Laboratory of Contemporary Applied Mathematics, Fudan University, Shanghai, 200433, China 4Department of Computing and Softw...
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ژورنال
عنوان ژورنال: Filomat
سال: 2009
ISSN: 0354-5180,2406-0933
DOI: 10.2298/fil0901043z