CBMS Conference: Computational Methods in Optimal Control

这一国家科学基金会奖支持2018年7月在密西西比州杰克逊市的杰克逊州立大学举行的为期5天的CBMS会议，主题是“最优控制中的计算方法”。首席讲师将是佛罗里达大学的威廉·W·海格博士。作为美国历史上最大的黑人学院和大学(HBCU)之一，杰克逊州立大学是举办这次会议的良好地点，这将直接影响到计算数学和统计科学博士项目和专业的非裔美国学生的培养和吸引。预计的参与者包括高级和初级教职员工、博士后研究员和研究生。根据研究背景的相关性、学术准备、长期合作的潜力和更广泛的影响等几个标准，将向选定的参与者提供一些旅行支持。由于最优控制应用的日益复杂，近似解通常通过数值算法获得，这需要对数值离散化和求解技术有深入的了解。海格博士将在上午的课程中讲授十堂关于最优控制的最新计算方法的主要讲座，并在下午举行有指导的计算机实验室课程，重点介绍所讨论的算法的计算机实现。所提供的讲座和相应的专著将提供分析最优控制中离散近似和求解技术的收敛所需的背景知识，以及解决现实世界问题的实践经验。为了补充主要讲座的内容，几位受邀的演讲者将进行额外的介绍性演讲，重点是解决动态由偏微分方程式描述的最优控制问题的有效数值方法。更多信息可在会议网站上找到：http://www.siue.edu/~juliu/cbms18This奖反映了美国国家科学基金会的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

This National Science Foundation award supports a 5-day CBMS conference on "Computational Methods in Optimal Control", to be held at the Jackson State University, Jackson, Mississippi, during July, 2018. The principal lecturer will be Dr. William W. Hager from the University of Florida. As one of the largest Historically Black Colleges and Universities (HBCUs) in the United States, Jackson State University is a good location for hosting this conference, which will have a direct impact on training and attracting African-American students in the computational mathematics and statistical sciences doctoral programs and professions. The anticipated participants include senior and junior faculty, postdoctoral fellows, and graduate students. Some travel support will be provided to selected participants based on several criteria, such as relevance of research background, academic preparation, potential of long-term collaboration, and broader impacts.Due to the growing complexity of optimal control applications, approximate solutions are often obtained by numerical algorithms, which requires deep understanding of numerical discretization and solution techniques. Dr. Hager will deliver ten main lectures on state-of-the-art computational methods on optimal control during the morning sessions, which are accompanied with guided computer lab sessions in the afternoon focusing on computer implementations of the discussed algorithms. The presented lectures and the corresponding monograph will provide both the background needed to analyze convergence of discrete approximations and solution techniques in optimal control, and practical experience in solving real-world problems. To complement the content of the main lectures, a few invited speakers will give additional introductory talks that focus on efficient numerical methods for solving optimal control problems whose dynamics are described by a partial differential equation. More information can be found at the conference website: http://www.siue.edu/~juliu/cbms18This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.