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Condition numbers with their condition numbers for the weighted moore-penrose inverse and the weighted least squares solution

✍ Scribed by Wenhua Kang; Hua Xiang


Publisher
Springer-Verlag
Year
2006
Tongue
English
Weight
250 KB
Volume
22
Category
Article
ISSN
1598-5865

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## Abstract Condition numbers play an important role in numerical analysis. Classical condition numbers are normwise: they measure the size of both input perturbations and output errors using norms. In this paper, we give explicit, computable expressions depending on the data, for the normwise cond

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In this paper, we present characterizations for the level-2 condition number of the weighted Moore-Penrose inverse, i.e., where cond M N (A) is the condition number of the weighted Moore-Penrose inverse of a rectangular matrix and cond [2] M N (A) is the level-2 condition number of this problem. Th