Optimal convergence of minimum norm approximations inHp
โ Scribed by Frank Stenger
- Publisher
- Springer-Verlag
- Year
- 1978
- Tongue
- English
- Weight
- 664 KB
- Volume
- 29
- Category
- Article
- ISSN
- 0029-599X
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
The problems of calculating a dominant eigenvector or a dominant pair of singular vectors, arise in several large scale matrix computations. In this paper we propose a minimum norm approach for solving these problems. Given a matrix, A, the new method computes a rankone matrix that is nearest to A,
We appl) the Schwmger method, two Kohn-type methods, and three Hurls-Mlchels-type methods to electron scattertng by the same potential wtth the same sets of basts functtons We also test a polynomtal basts in the Schwmger method. We use Nesbct and Obcrot's method to avold spurtous stnguhrtttes of th
In this paper we consider the solution of linear least squares problems min x Ax -b 2 2 where the matrix A โ R mรn is rank deficient. Put p = min{m, n}, let ฯ i , i = 1, 2, . . . , p, denote the singular values of A, and let u i and v i denote the corresponding left and right singular vectors. Then