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Preconditioned Iterative Methods for Solving Weighted Linear Least Squares Problems

  1. 1.
    Bru, R. - Marín, J. - Mas, J. - Tůma, Miroslav
    Preconditioned Iterative Methods for Solving Weighted Linear Least Squares Problems.
    SIAM Journal on Scientific Computing. Roč. 36, č. 4 (2014), A2002-A2022. ISSN 1064-8275. E-ISSN 1095-7197
    Impact factor: 1.854, year: 2014
    http://hdl.handle.net/11104/0237134

    Cited: 6

    --- GOULD, N. - SCOTT, J. The State-of-the-Art of Preconditioners for Sparse Linear Least-Squares Problems. ACM TRANSACTIONS ON MATHEMATICAL SOFTWARE. ISSN 0098-3500, MAR 2017, vol. 43, no. 4. [WOS]
    --- XU, W. - ZHENG, N. - HAYAMI, K. Jacobian-Free Implicit Inner-Iteration Preconditioner for Nonlinear Least Squares Problems. JOURNAL OF SCIENTIFIC COMPUTING. ISSN 0885-7474, SEP 2016, vol. 68, no. 3, p. 1055-1081. [WOS]
    --- VAN LEEUWEN, T. - HERRMANN, F.J. A penalty method for PDE-constrained optimization in inverse problems. INVERSE PROBLEMS. ISSN 0266-5611, JAN 2016, vol. 32, no. 1. [WOS]
    --- HUANG, Z.H. - HUANG, T.Z. Semi-convergence analysis of the GSS iteration methods for singular saddle point problems. JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS. ISSN 0377-0427, JAN 15 2018, vol. 328, p. 1-11. [WOS]
    --- FILELIS-PAPADOPOULOS, C.K. - GRAVVANIS, G.A. Hybrid multilevel solution of sparse least-squares linear systems. ENGINEERING COMPUTATIONS. ISSN 0264-4401, 2017, vol. 34, no. 8, p. 2752-2766. [WOS]
    --- SCOTT, J. ON USING CHOLESKY-BASED FACTORIZATIONS AND REGULARIZATION FOR SOLVING RANK-DEFICIENT SPARSE LINEAR LEAST-SQUARES PROBLEMS. SIAM JOURNAL ON SCIENTIFIC COMPUTING. ISSN 1064-8275, 2017, vol. 39, no. 4, p. C319-C339. [WOS]
Number of the records: 1  

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