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» On Wiedemann's Method of Solving Sparse Linear Systems
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NA
2011
373views Computer Vision» more  NA 2011»
13 years 3 months ago
On preconditioned MHSS iteration methods for complex symmetric linear systems
We propose a preconditioned variant of the modified HSS (MHSS) iteration method for solving a class of complex symmetric systems of linear equations. Under suitable conditions, w...
Zhong-Zhi Bai, Michele Benzi, Fang Chen
IMCSIT
2010
13 years 6 months ago
The experimental analysis of GMRES convergence for solution of Markov chains
The authors consider the impact of the structure of the matrix on the convergence behavior for the GMRES projection method for solving large sparse linear equation systems resultin...
Beata Bylina, Jaroslaw Bylina
IPPS
2007
IEEE
14 years 3 months ago
A Parallel Hybrid Method of GMRES on GRID System
Grid computing focuses on making use of a very large amount of resources from a large-scale computing environment. It intends to deliver high-performance computing over distribute...
Ye Zhang, Guy Bergére, Serge G. Petiton
ICASSP
2010
IEEE
13 years 9 months ago
Algorithms for robust linear regression by exploiting the connection to sparse signal recovery
In this paper, we develop algorithms for robust linear regression by leveraging the connection between the problems of robust regression and sparse signal recovery. We explicitly ...
Yuzhe Jin, Bhaskar D. Rao
CIMAGING
2009
153views Hardware» more  CIMAGING 2009»
13 years 10 months ago
Dictionaries for sparse representation and recovery of reflectances
The surface reflectance function of many common materials varies slowly over the visible wavelength range. For this reason, linear models with a small number of bases (5-8) are fr...
Steven Lansel, Manu Parmar, Brian A. Wandell