First International Conference on Matrix-Analytic Methods in Stochastic Models; Flint, MI, August 24-25, 1995

第一届随机模型矩阵分析方法国际会议；

• 批准号: 9424312
• 负责人: Srinivas Chakravarthy
• 金额: --
• 依托单位: Kettering University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1995
• 资助国家: 美国
• 起止时间: 1995-06-01 至 1996-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9424312&HistoricalAwards=false
• 关键词: First; International; Conference; Matrix; Analytic

Chakravarthy This project is aimed at bringing together in a conference forum researchers, practitioners, and students with interest in matrix-analytic methods for modeling stochastic systems. The conference has multiple objectives. These objectives include 1) review of the progress of research and the state-of-the-art in matrix analytical methods in stochastic models, 2) the analysis of the design of a tutorial that would allow providing a working knowledge of matrix-analytical methods to practitioners and students in a form that they can put the technique to use, 3) discuss and identify technological areas of application of the technique, 4) present resent unpublished research results, and 5) identify directions for future research. Matrix-analytical method for modeling stochastic systems is a relative new area with the first set of systematic studies appearing in the 1980s. Since then, a number of researchers in various fields such as telecommunication, production, and computer systems have applied it to model problems. Despite their widespread areas of applications, matrix-analytical procedure is still relatively unknown to many potential users and researchers in the general area of stochastic analysis. The conference will help to close the gap and disseminate the technique and its potential application to a much wider audience than has been so far possible.

该项目旨在将对随机系统建模的矩阵分析方法感兴趣的研究人员、实践者和学生聚集在一个会议论坛上。这次会议有多重目标。这些目标包括：1)回顾随机模型中矩阵分析方法的研究进展和最新技术；2)分析教程的设计，以便为从业者和学生提供矩阵分析方法的工作知识，使他们能够使用该技术；3)讨论和确定该技术应用的技术领域；4)介绍目前未发表的研究成果；5)确定未来的研究方向。随机系统建模的矩阵解析方法是一个相对较新的领域，20世纪80年代出现了第一批系统的研究。从那时起，电信、生产和计算机系统等各个领域的许多研究人员都将其应用于建模问题。尽管矩阵分析方法有广泛的应用领域，但对于随机分析领域的许多潜在用户和研究人员来说，它们仍然是相对未知的。这次会议将有助于缩小差距，并将这项技术及其潜在的应用传播给比迄今可能的更广泛的受众。