Design, analysis and implementation of algorithms utilizing convex optimization

利用凸优化的算法的设计、分析和实现

• 批准号: RGPIN-2015-05546
• 负责人: Tuncel, Levent
• 金额: $ 2.11万
• 依托单位: University of Waterloo
• 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=634256
• 关键词: Design; analysis; implementation; algorithms; utilizing

My research program aims to design, analyze and implement efficient and robust algorithms (solution methods) for problems arising in many application areas such as planning, manufacturing, transportation, finance, as well as service sectors, and information technology (including quantum information and computing). The approach will model these problems and their mathematical generalizations as accurately and reasonably as possible by mathematical optimization problems. These mathematical optimization problems will typically lie in a special subclass (i.e., with additional special structures) of:

我的研究计划旨在为许多应用领域中出现的问题设计、分析和实现高效和健壮的算法(解决方法)，这些领域包括规划、制造、交通、金融以及服务部门，以及信息技术(包括量子信息和计算)。该方法将通过数学优化问题尽可能准确和合理地对这些问题及其数学概括进行建模。这些数学优化问题通常位于以下特殊子类(即，具有附加特殊结构)中：