On mixed and componentwise condition numbers for Moore–Penrose inverse and linear 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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ژورنال
عنوان ژورنال: Mathematics of Computation
سال: 2006
ISSN: 0025-5718,1088-6842
DOI: 10.1090/s0025-5718-06-01913-2