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International Journal of Computer Mathematics Volume 72, 1999 - Issue 4
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Original Articles

Preconditioned conjugate gradient method for rank deficient least-squares problems

C. H. Santos Departamento de Matemática, Universidade Federal do Paraná, Centro Politécnico, CP: 19.081, Curitiba, CEP: 81531-990, Brazil
&
J. Y. Yuan Departamento de Matemática, Universidade Federal do Paraná, Centro Politécnico, CP: 19.081, Curitiba, CEP: 81531-990, BrazilCorrespondence[email protected].
Pages 509-518 | Received 11 May 1998, Published online: 19 Mar 2007

Citations (6)

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Z.X. Luo, B.P.B. Silva & J.Y. Yuan. (2001) The direct-projection methods. International Journal of Computer Mathematics 76:4, pages 517-535.
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Articles from other publishers (5)

Qing-Qing Zheng & Chang-Feng Ma. (2016) A class of triangular splitting methods for saddle point problems. Journal of Computational and Applied Mathematics 298, pages 13-23.
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Yunzheng Fan, Helder Geovane Gomes de Lima, Liping Wang, Jin Yun Yuan & Xiao-yue Zhou. (2011) Evaluation of ST preconditioners for saddle point problems. Journal of Computational and Applied Mathematics 236:6, pages 1543-1551.
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Yu-xin Zhang, Heng-fei Ding, Wan-sheng He & San-fu Wang. 2011. Advances in Neural Networks – ISNN 2011. Advances in Neural Networks – ISNN 2011 158 165 .
Raimundo J.B. de Sampaio, S. Yuan & J.Y. Yuan. (2008) Generalization: One technique of computational and applied mathematical methodology. Applied Mathematics and Computation 200:2, pages 574-582.
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Xiaonan Wu, Gene H. Golub, José A. Cuminato & Jin Yun Yuan. (2008) Symmetric-triangular decomposition and its applications part II: Preconditioners for indefinite systems. BIT Numerical Mathematics 48:1, pages 139-162.
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