University - Industry Cooperative Research Programs in the Mathematical Sciences: Large Deviations Analysis and Monte Carlo Methods for High Speed Telecommunications Networks
数学科学产学合作研究项目:高速电信网络的大偏差分析和蒙特卡罗方法
基本信息
- 批准号:9508709
- 负责人:
- 金额:$ 7.1万
- 依托单位:
- 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:1995-09-01 至 1998-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
DMS-9508709 Glasserman The University-Industry Cooperative Research Programs in the Mathematical Sciences are programs designed to establish a mechanism for exchange of mathematical scientists between academia and industry at different stages of their careers. These programs will strengthen the links between industry and academia and identify and encourage new avenues of research in the mathematical sciences. The University-Industry Postdoctoral Research Fellowships provide two years of support for recent recipients of doctoral degrees in the mathematical sciences. These awards are a means of contributing to the future vitality of the scientific effort of the nation. The postdoctoral fellow will work closely with scientific advisors from both academia and industry. Emerging standards for high-speed telecommunications networks of the near future pose new challenges for mathematical modeling and computation, and offer an exceptional opportunity for advanced mathematical ideas to help shape a major new technology. The high speed of the new technology and the stringent performance constraints of new services require for their analysis the development and application of asymptotic methods for stochastic processes. This project addresses that need through the development of new asymptotics and bounds for performance, and the development of efficient, robust Monte Carlo methods for numerical evaluation of network designs and controls.
DMS-9508709 Glasserman 数学科学中的大学-产业合作研究计划旨在建立学术界和工业界之间在其职业生涯的不同阶段交流数学科学家的机制。这些计划将加强工业界和学术界之间的联系,并确定和鼓励数学科学研究的新途径。大学-产业博士后研究奖学金为最近获得数学科学博士学位的人提供两年的支持。这些奖项是促进国家科学努力未来活力的一种手段。博士后研究员将与来自学术界和工业界的科学顾问密切合作。 在不久的将来,高速电信网络的新兴标准对数学建模和计算提出了新的挑战,并为先进的数学思想提供了一个特殊的机会,以帮助形成一个重大的新技术。 新技术的高速和新服务的严格性能约束要求其分析的发展和应用的渐近方法的随机过程。该项目通过开发新的渐近性和性能界限,以及开发用于网络设计和控制的数值评估的高效,鲁棒的Monte Carlo方法来满足这一需求。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Paul Glasserman其他文献
Algebraic structure of some stochastic discrete event systems, with applications
- DOI:
10.1007/bf01797141 - 发表时间:
1991-05-01 - 期刊:
- 影响因子:1.600
- 作者:
Paul Glasserman;David D. Yao - 通讯作者:
David D. Yao
Stationary waiting time derivatives
- DOI:
10.1007/bf01158809 - 发表时间:
1992-09-01 - 期刊:
- 影响因子:0.700
- 作者:
Paul Glasserman - 通讯作者:
Paul Glasserman
Paul Glasserman的其他文献
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{{ truncateString('Paul Glasserman', 18)}}的其他基金
Fast Simulation Methods for Risk Management
风险管理的快速模拟方法
- 批准号:
0300044 - 财政年份:2003
- 资助金额:
$ 7.1万 - 项目类别:
Continuing Grant
NSF Young Investigator: Analysis and Simulation of Multi-Stage Inventory Systems
NSF 青年研究员:多阶段库存系统的分析与模拟
- 批准号:
9457189 - 财政年份:1994
- 资助金额:
$ 7.1万 - 项目类别:
Continuing Grant
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