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  • 标题:Recent Progress and Open Problems in Algorithmic Convex Geometry
  • 本地全文:下载
  • 作者:Santosh S. Vempala
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2010
  • 卷号:8
  • 页码:42-64
  • DOI:10.4230/LIPIcs.FSTTCS.2010.42
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:This article is a survey of developments in algorithmic convex geometry over the past decade. These include algorithms for sampling, optimization, integration, rounding and learning, as well as mathematical tools such as isoperimetric and concentration inequalities. Several open problems and conjectures are discussed on the way.
  • 关键词:convex geometry; geometric inequalities; algorithms; sampling; optimization; integration; rounding; learning
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