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Li, Dong-Hui, Fukushima, Masao, Qi, Liqun, Yamashita, Nobuo (2004) Regularized Newton Methods for Convex Minimization Problems with Singular Solutions. Computational Optimization and Applications, 28 (2). 131-147 doi:10.1023/b:coap.0000026881.96694.32

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Reference TypeJournal (article/letter/editorial)
TitleRegularized Newton Methods for Convex Minimization Problems with Singular Solutions
JournalComputational Optimization and Applications
AuthorsLi, Dong-HuiAuthor
Fukushima, MasaoAuthor
Qi, LiqunAuthor
Yamashita, NobuoAuthor
Year2004 (July)Volume28
Issue2
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1023/b:coap.0000026881.96694.32Search in ResearchGate
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Mindat Ref. ID9538445Long-form Identifiermindat:1:5:9538445:2
GUID0
Full ReferenceLi, Dong-Hui, Fukushima, Masao, Qi, Liqun, Yamashita, Nobuo (2004) Regularized Newton Methods for Convex Minimization Problems with Singular Solutions. Computational Optimization and Applications, 28 (2). 131-147 doi:10.1023/b:coap.0000026881.96694.32
Plain TextLi, Dong-Hui, Fukushima, Masao, Qi, Liqun, Yamashita, Nobuo (2004) Regularized Newton Methods for Convex Minimization Problems with Singular Solutions. Computational Optimization and Applications, 28 (2). 131-147 doi:10.1023/b:coap.0000026881.96694.32
In(2004, July) Computational Optimization and Applications Vol. 28 (2) Springer Science and Business Media LLC

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Li, Ying-Jie, Li, Dong-Hui (2009) Truncated regularized Newton method for convex minimizations. Computational Optimization and Applications, 43 (1). 119-131 doi:10.1007/s10589-007-9128-7
Rosen, J. Ben, Marcia, Roummel F. (2004) Convex Quadratic Approximation. Computational Optimization and Applications, 28 (2). 173-184 doi:10.1023/b:coap.0000026883.13660.84
Chen, Xiaojun, Fukushima, Masao (2004) A Smoothing Method for a Mathematical Program with P-Matrix Linear Complementarity Constraints. Computational Optimization and Applications, 27 (3). 223-246 doi:10.1023/b:coap.0000013057.54647.6d
Moriyama, Hiroyuki, Yamashita, Nobuo, Fukushima, Masao (2003) Computational Optimization and Applications, 26 (2). Springer Science and Business Media LLC. 107-141 doi:10.1023/a:1025703629626
Xu, Song (2004) A Non-Interior Path Following Method for Convex Quadratic Programming Problems with Bound Constraints. Computational Optimization and Applications, 27 (3). 285-303 doi:10.1023/b:coap.0000013060.16224.31
Kanzow, Christian, Yamashita, Nobuo, Fukushima, Masao (2004) Levenberg–Marquardt methods with strong local convergence properties for solving nonlinear equations with convex constraints. Journal of Computational and Applied Mathematics, 172 (2). 375-397 doi:10.1016/j.cam.2004.02.013
Drummond, L.M. Graña, Iusem, A.N. (2004) A Projected Gradient Method for Vector Optimization Problems. Computational Optimization and Applications, 28 (1). 5-29 doi:10.1023/b:coap.0000018877.86161.8b
Fung, Glenn M., Mangasarian, O.L. (2004) A Feature Selection Newton Method for Support Vector Machine Classification. Computational Optimization and Applications, 28 (2). 185-202 doi:10.1023/b:coap.0000026884.66338.df
Demetriou, I.C. (2004) Least Squares Convex-Concave Data Smoothing. Computational Optimization and Applications, 29 (2). 197-217 doi:10.1023/b:coap.0000042030.54793.47
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