Geometric aspects of optimization

优化的几何方面

• 批准号: RGPIN-2015-04955
• 负责人: Bremner, David
• 金额: $ 1.31万
• 依托单位: University of New Brunswick
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=634255
• 关键词: Geometric; aspects; optimization

Geometry is an important tool for efficient optimization algorithms; conversely geometric flavoured optimization problems are common in applications ranging from manufacturing to machine learning and statistics.  These two facts motivate my research focus on algorithms for high dimensional geometric objects, including point sets, hyperplane arrangements, and especially

几何是高效优化算法的重要工具，而几何味优化问题在从制造业到机器学习和统计学的应用中很常见。这两个事实促使我的研究集中在高维几何对象的算法上，包括点集，超平面排列，特别是