Mathematical Sciences: Optimization in Statistics and SystemControl

最近计算能力的进步极大地刺激了统计和系统优化方法的发展。大部分进展是由于优化通用多参数函数的能力增强--部分是由于总体计算能力的增加，但更多的是因为优化技术中的算法进步。到目前为止，开发新方法的人和开发优化方法的人之间只有零星的非正式接触。该项目将支持计算机科学系、电子工程系、运筹学系和统计系研究人员的正式合作。目标包括开发和实施投影寻踪、全局优化、多变量平滑和分散控制器设计等领域的算法。与方法论发展相关联的是对理论和推理性质的研究，以及解释和图形显示的问题。

Recent advances in computing power have dramatically stimulated the development of methods in statistics and system optimization. Much of the progress is due to an increased ability to optimize general multiparameter functions--partly as a result of increased computing power in general, but more because of algorithmic advances in optimization techniques. So far there has been only sporadic informal contact between those who develop new methodology and those who develop optimization methods. This project will support a formal collaboration of reseatchers in the departments of Computer Science, Electrical Engineering, Operations Research, and Statistics. Objectives include the development and implementation of algorithms in the areas of projection pursuit, global optimization, multivariate smoothing, and decentralized controller design. Associated with the methodological development will be research into theoretical and inferential properties, combined with issues of interpretation and graphic display.