Abstroct~Every linear parameter estimation problem gives rise to an overdetermined set of linear equations AX ~ B which is usually solved with the ordinary least squares (LS) method. Often, both A and B are inaccurate. For these cases, a more general fitting technique, called total least squares (TL
On the accuracy of least squares methods in the presence of corner singularities
โ Scribed by C.L. Cox; G.J. Fix
- Publisher
- Elsevier Science
- Year
- 1984
- Tongue
- English
- Weight
- 655 KB
- Volume
- 10
- Category
- Article
- ISSN
- 0898-1221
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โฆ Synopsis
This paper treats elliptic problems with comer singilarities. Finite element approximations based on variational principles of the least squares type tend to display poor convergence properties in such contexts. Moreover, mesh refinement or the use of special singular elements do not appreciably improve matters. Here we show that if the least squares formulation is done in appropriately weighted spaces. then optimal convergence results in unweighted spaces like L'.
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