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Direct iterative methods for rank deficient generalized least squares problems
Jin-yun Yuan1; Xiao-qing Jin2
2000-07
Source PublicationJOURNAL OF COMPUTATIONAL MATHEMATICS
ISSN0254-9409
Volume18Issue:4Pages:439-448
Abstract

appears in many application areas. Here W is an m x m symmetric positive definite matrix and A is an m x n matrix with m greater than or equal to n. Since the problem has many solutions in rank deficient case, some special preconditioned techniques are adapted to obtain the minimum 2-norm solution. A block SOR method and the preconditioned conjugate gradient (PCG) method are proposed here. Convergence and optimal relaxation parameter for the block SOR method are studied. An error bound for the PCG method is given. The comparison of these methods is investigated. Some remarks on the implementation of the methods and the operation cost are given as well.

KeywordRank Deficient Generalized Ls Problem Block Sor Method Pcg Method Convergence Optimal Parameter
Indexed BySCIE
Language英語English
WOS Research AreaMathematics
WOS SubjectMathematics, Applied ; Mathematics
WOS IDWOS:000088625800010
PublisherVSP
Scopus ID2-s2.0-4043100531
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Citation statistics
Document TypeJournal article
CollectionFaculty of Science and Technology
DEPARTMENT OF MATHEMATICS
Affiliation1.Departamento de Matematica, Universidade Federal do Parana, Curitiba, Brazil
2.Faculty of Science and Technology, University of Macau, Macau, China
Recommended Citation
GB/T 7714
Jin-yun Yuan,Xiao-qing Jin. Direct iterative methods for rank deficient generalized least squares problems[J]. JOURNAL OF COMPUTATIONAL MATHEMATICS, 2000, 18(4), 439-448.
APA Jin-yun Yuan., & Xiao-qing Jin (2000). Direct iterative methods for rank deficient generalized least squares problems. JOURNAL OF COMPUTATIONAL MATHEMATICS, 18(4), 439-448.
MLA Jin-yun Yuan,et al."Direct iterative methods for rank deficient generalized least squares problems".JOURNAL OF COMPUTATIONAL MATHEMATICS 18.4(2000):439-448.
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