Huber approximation for the non-linear ℓ1 problem

dc.citation.epage	1107	en_US
dc.citation.issueNumber	3	en_US
dc.citation.spage	1096	en_US
dc.citation.volumeNumber	169	en_US
dc.contributor.author	Pınar, Mustafa Ç.	en_US
dc.contributor.author	Hartmann, W. M.	en_US
dc.date.accessioned	2016-02-08T11:48:44Z	en_US
dc.date.available	2016-02-08T11:48:44Z	en_US
dc.date.issued	2006	en_US
dc.department	Department of Industrial Engineering	en_US
dc.description.abstract	The smooth Huber approximation to the non-linear ℓ1 problem was proposed by Tishler and Zang (1982), and further developed in Yang (1995). In the present paper, we use the ideas of Gould (1989) to give a new algorithm with rate of convergence results for the smooth Huber approximation. Results of computational tests are reported.	en_US
dc.identifier.doi	10.1016/j.ejor.2004.10.029	en_US
dc.identifier.issn	0377-2217	en_US
dc.identifier.uri	http://hdl.handle.net/11693/27253	en_US
dc.language.iso	English	en_US
dc.publisher	Elsevier	en_US
dc.relation.isversionof	http://dx.doi.org/10.1016/j.ejor.2004.10.029	en_US
dc.source.title	European Journal of Operational Research	en_US
dc.subject	Nonlinear programming	en_US
dc.subject	Non-differentiable optimization	en_US
dc.subject	Smoothing algorithms	en_US
dc.subject	Huber M-estimator	en_US
dc.title	Huber approximation for the non-linear ℓ1 problem	en_US
dc.type	Conference Paper	en_US

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