Optimization: Theory, Algorithms, and Applications

优化：理论、算法和应用

• 批准号: 9971852
• 负责人: James Burke
• 金额: $ 10.5万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-08-01 至 2002-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9971852&HistoricalAwards=false
• 关键词: Optimization; Theory; Algorithms; Applications

9971852BurkeTwo topics are proposed for study: (1) the variational analysis of eigenvalue functions and (2) non-parametric population analysis. In the first topic the principal investigator will apply modern techniques of nonsmooth analysis and variational geometry to study the variational properties of certain functions of the spectrum on the space of n x n complex valued matrices, e.g., the spectral abscissa and the spectral radius. In the second topic, the principal investigator intends to analyze and develop algorithmic solution techniques for the non-parametric version of the basic problem of population analysis. Specifically, the principal investigator intends to use maximum likelihood techniques to estimate the underlying probability measure associated with population variability.Understanding the variational behavior of the spectrum of matrix valued mappings is essential to our understanding and control of discrete and continuous dynamical systems. Such systems arise in numerous practical applications ranging from the design of structures that can withstand a major earthquake to flight control for modern aircraft. The results of the principal investigator's research program are intended to make possible for the first time the derivation of optimality and/or equilibrium conditions for numerous problems associated with spectral variations that occur in numerous engineering applications. On the other hand, population analysis is the statistical methodology used to understand inter-subject variability in studies designed to analyze a phenomenon associated with a targeted population. For example, the methodology is widely used in pharmocokinetic studies since it is the key to understanding how drugs behave in humans and animals. The principal investigator intends to analyze and develop algorithmic solution techniques for the non-parametric version of this problem. The goal is to incorporate these algorithms into a software package now being developed by the Resource Facility for Population Kinetics at the University of Washington.

9971852 Burke提出了两个研究课题：（1）特征值函数的变分分析和（2）非参数总体分析。在第一个主题中，主要研究者将应用非光滑分析和变分几何的现代技术来研究n x n复值矩阵空间上谱的某些函数的变分性质，例如，光谱横坐标和光谱半径。在第二个主题中，主要研究者打算分析和开发人口分析基本问题的非参数版本的算法解决方案技术。具体来说，首席研究员打算使用最大似然技术来估计潜在的概率测度与人口variability.Understanding矩阵值映射的谱的变分行为是必不可少的，我们的理解和控制的离散和连续的动力系统。这种系统出现在许多实际应用中，从能够承受大地震的结构设计到现代飞机的飞行控制。首席研究员研究计划的结果旨在首次为众多工程应用中发生的与光谱变化相关的众多问题推导出最优性和/或平衡条件。另一方面，群体分析是一种统计方法，用于了解研究中受试者间的变异性，这些研究旨在分析与目标人群相关的现象。例如，该方法被广泛用于药代动力学研究，因为它是了解药物在人类和动物中如何发挥作用的关键。主要研究者打算分析和开发算法解决技术的非参数版本的这个问题。目标是将这些算法纳入一个软件包，该软件包目前正在由华盛顿大学人口动力学资源设施开发。