2020 Stochastic Networks Conference

该资助为2020年随机网络会议的17名演讲参与者和20名其他参与者提供部分资金支持；康奈尔大学，纽约伊萨卡，2020年6月22日至26日。随机网络是一个多方面的研究领域，涉及随机网络的建模、稳定性、控制、性能、近似和设计。它产生了具有挑战性和微妙的数学问题，其解决方案通常需要结合几个数学分支的思想和技术，包括概率论、随机过程、分析、优化、算法、组合学和图论。从电信和制造业等传统领域到服务业务、生物和社会网络、收入管理和医疗保健等各个领域的应用，都有力地推动了这一领域的研究。该奖项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知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

This grant provides funding to partially support seventeen speaking participants and twenty other participants at the 2020 Stochastic Networks Conference; Cornell University, Ithaca, New York, 22-26 June 2020.Stochastic networks is a multifaceted area of research concerned with the modeling, stability, control, performance, approximation, and design of stochastic networks. It gives rise to challenging and subtle mathematical problems, whose solution often requires a combination of ideas and techniques from several branches of mathematics, including probability theory, stochastic processes, analysis, optimization, algorithms, combinatorics, and graph theory. Research in this area is strongly motivated by applications in diverse domains, ranging from the traditional areas of telecommunications and manufacturing to service operations, biological and social networks, revenue management, and health care. Conference Website: https://blogs.cornell.edu/snc2020/This 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.