An efficient Bayesian iterative method for solving linear systems
Received:May 31, 2011  Revised:October 31, 2011
Key Words: linear system   matrix   iterative method   Bayesian perspective.  
Fund Project:Supported by the Research Grants from University of Macau (Grant Nos.UL020/08-Y4/MAT/JXQ01/FST; MYRG136(Y1-L2)-FST11-DD).
Author NameAffiliation
Deng DING Department of Mathematics, University of Macau, Macao, P. R. China 
Kin Sio FONG Faculty of Business Administration, University of Macau, Macao, P. R. China 
Ka Hou CHAN Keang Peng School, Macao, P. R. China 
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Abstract:
      This paper concerns with the statistical methods for solving general linear systems. After a brief review of Bayesian perspective for inverse problems, a new and efficient iterative method for general linear systems from a Bayesian perspective is proposed. The convergence of this iterative method is proved, and the corresponding error analysis is studied. Finally, numerical experiments are given to support the efficiency of this iterative method, and some conclusions are obtained.
Citation:
DOI:10.3770/j.issn:2095-2651.201*.0*.***
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