New Efficient Methods for Challenging Computational Optimization Problems

解决计算优化问题的有效新方法

• 批准号: 327684-2012
• 负责人: Coleman, Thomas
• 金额: $ 1.82万
• 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: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=595286
• 关键词: New; Efficient; Methods; Challenging; Computational

There is a growing interest in, and demand for, efficient and practical computational optimization methods in numerous application domains. Our proposed research will develop methodology, and theoretical underpinnings and understanding, for three such problems in computational optimization. All three problems are hard, and computationally demanding, but progress on developing effective solutions will have broad impact not only in the field of optimization but across scientific computing and applications more generally.

在许多应用领域中，对高效且实用的计算优化方法的兴趣和需求越来越大。我们提出的研究将为计算优化中的三个这样的问题开发方法，理论基础和理解。所有这三个问题都很难，而且对计算要求很高，但是开发有效解决方案的进展不仅会在优化领域产生广泛的影响，而且会在科学计算和更广泛的应用中产生广泛的影响。