A note on the SOR and CG methods for large least squares problems

Author:

Evans D.J.,Li C.

Publisher

Elsevier BV

Subject

Discrete Mathematics and Combinatorics,Geometry and Topology,Numerical Analysis,Algebra and Number Theory

Reference6 articles.

1. Convergence of a direct-iterative method for large-scale least-squares problems;Markham;Linear Algebra Appl.,1985

2. A note on two block SOR methods for sparse least-squares problems;Freund;Linear Algebra Appl.,1987

3. The least squares problem and pseudoinverses;Peters;Comput. J.,1970

4. Über- und Unterrelaxation bei linearen Gleichungssystemen;Niethammer;Computing,1970

5. D.M. Young, L.J. Hayes, and K.C. Jea, Generalized Conjugate Gradient Acceleration of Iterative Methods, Part I, The Symmetric Case, CNA-162, Center for Numerical Analysis, Univ. of Texas, Austin.

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A note on an SOR-like method for augmented systems;IMA Journal of Numerical Analysis;2003-10-01

2. The Block Successive Relaxation Additive Tterative method for least squares problems;International Journal of Computer Mathematics;1996-01

3. A note to the gmres method;International Journal of Computer Mathematics;1996-01

4. A note on preconditioned iterative methods for least squares problems;International Journal of Computer Mathematics;1995-01

5. Optimum sor convergence for complex spectra;International Journal of Computer Mathematics;1992-01

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