{"178941":{"#nid":"178941","#data":{"type":"event","title":"Adrian Lewis, Cornell University","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EAdrian Lewis\u003Cbr \/\u003ECornell University\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EConcrete optimization problems, while often nonsmooth, are not pathologically so. The class of \u0022semi-algebraic\u0022 sets and functions - those arising from polynomial inequalities - nicely exemplifies nonsmoothness in practice. Semi-algebraic sets (and their generalizations) are common, easy to recognize, and richly structured, supporting powerful variational properties. In particular I will discuss a generic property of such sets - partial smoothness - and its relationship with a proximal algorithm for nonsmooth composite minimization, a versatile model for practical optimization.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EAdrian S. Lewis was born in England in 1962. He is a Professor at Cornell University in the School of Operations Research and Industrial Engineering. Following his B.A., M.A., and Ph.D. degrees from Cambridge, and Research Fellowships at Queens\u0027 College, Cambridge and Dalhousie University, Canada, he worked in Canada at the University of Waterloo (1989-2001) and Simon Fraser University (2001-2004). He is an Associate Editor of the SIAM Journal on Optimization, Mathematics of Operations Research, and the SIAM\/MPS Book Series on Optimization, and is a Co-Editor for Mathematical Programming. He received the 1995 Aisenstadt Prize, from the Canadian Centre de Recherches Mathematiques, the 2003 Lagrange Prize for Continuous Optimization from SIAM and the Mathematical Programming Society, and an Outstanding Paper Award from SIAM in 2005. He co-authored \u0022Convex Analysis and Nonlinear Optimization\u0022 with J.M. Borwein.\u003C\/p\u003E\u003Cp\u003ELewis\u0027 research concerns variational analysis and nonsmooth optimization, with a particular interest in optimization problems involving eigenvalues.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EConcrete optimization problems, while often nonsmooth, are not pathologically so. The class of \u0022semi-algebraic\u0022 sets and functions - those arising from polynomial inequalities - nicely exemplifies nonsmoothness in practice. Semi-algebraic sets (and their generalizations) are common, easy to recognize, and richly structured, supporting powerful variational properties. In particular I will discuss a generic property of such sets - partial smoothness - and its relationship with a proximal algorithm for nonsmooth composite minimization, a versatile model for practical optimization.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Semi-algebraic optimization theory"}],"uid":"27215","created_gmt":"2012-12-20 15:42:54","changed_gmt":"2016-10-08 02:01:40","author":"Mike Alberghini","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2010-04-06T12:00:00-04:00","event_time_end":"2010-04-06T13:00:00-04:00","event_time_end_last":"2010-04-06T13:00:00-04:00","gmt_time_start":"2010-04-06 16:00:00","gmt_time_end":"2010-04-06 17:00:00","gmt_time_end_last":"2010-04-06 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Cspan\u003ERenato Monteiro, ISyE\u003C\/span\u003E\u003Cbr \/\u003E\u003Ca href=\u0022http:\/\/www.gatech.edu\/contact\/?id=e5012\u0022\u003EContact Renato Monteiro\u003C\/a\u003E\u003Cbr \/\u003E\u003Cspan\u003E404-894-2300\u003C\/span\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}