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Volumn 39, Issue 2, 1999, Pages 323-338

Block-projections algorithms with blocks containing mutually orthogonal rows and columns

Author keywords

Block projection iteration; Inconsistent least squares problems; Minimal norm solution; Mutually orthogonal rows; Relaxation parameters

Indexed keywords


EID: 0042135710     PISSN: 00063835     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1022398014630     Document Type: Article
Times cited : (12)

References (16)
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  • 3
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  • 4
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  • 5
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    • Coleman, T.F.1    More, J.J.2
  • 7
    • 0022769785 scopus 로고
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  • 8
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    • Iterative algorithms for large partitioned linear systems, with applications to image, reconstruction
    • P. P. B. Eggermont, G. T. Herman, and A. Lent, Iterative algorithms for large partitioned linear systems, with applications to image, reconstruction, Linear Algebra Appl., 40 (1981), pp. 37-67.
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    • Eggermont, P.P.B.1    Herman, G.T.2    Lent, A.3
  • 9
    • 0002865421 scopus 로고
    • Block-iterative methods for consistent and inconsistent linear equations
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  • 12
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    • An iterative method for CVBEM systems (parts I and II)
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  • 13
    • 0038425948 scopus 로고    scopus 로고
    • Extensions of block-projections methods with relaxation parameters to inconsistent and rank-deficient least-squares problems
    • C. Popa, Extensions of block-projections methods with relaxation parameters to inconsistent and rank-deficient least-squares problems, BIT, 38 (1998), pp. 151-176.
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  • 15
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    • Least-squares solution of overdetermined inconsistent linear systems using Kaczmarz's relaxation
    • C. Popa, Least-squares solution of overdetermined inconsistent linear systems using Kaczmarz's relaxation, Intern. J. Computer Math., 55 (1995), pp. 79-89.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.