## Abstract A sequence of leastβsquares problems of the form min~__y__~β₯__G__^1/2^(__A__^T^ __y__β__h__)β₯~2~, where __G__ is an __n__Γ__n__ positiveβdefinite diagonal weight matrix, and __A__ an __m__Γ__n__ (__m__β©½__n__) sparse matrix with some dense columns; has many applications in linear program
β¦ LIBER β¦
The solution of large-scale least-squares problems on supercomputers
β Scribed by Iain S. Duff
- Book ID
- 112669507
- Publisher
- Springer US
- Year
- 1990
- Tongue
- English
- Weight
- 694 KB
- Volume
- 22
- Category
- Article
- ISSN
- 0254-5330
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In this note, we present two results on the scaled total least squares problem. First, we discuss the relation between the scaled total least squares and the least squares problems. We derive an upper bound for the difference between the scaled total least squares solution and the least squares solu