Workshop: Programming Tutorials for Doctoral Students, University of Arizona, October 9-10, 2004

该提案部分支持于2004年10月9日至10日在亚利桑那大学举办的随机规划研讨会，同时配合10月11日至15日召开的数学规划学会随机规划委员会三年一次的会议。这个想法是利用主要研究人员在会议上的存在，提供一个指导研讨会，将告知和吸引博士生到该领域，包括最近的进展概述和未来研究的机会。随机规划曾经在计算上是一个巨大的挑战，它只存在于教科书中，但最近的进展使得求解应用规模模型成为可能。在涉及重大风险和不确定性的设计和财务规划活动中，现在经常使用这些方法。这一进展重新激发了研究人员的兴趣，但在这一领域进行研究所需的运筹学的优化和随机分支的独特综合使得博士生很难进入。这次研讨会将有助于克服这些障碍，让有前途的学生接触到该领域的几位最优秀的人才。

This proposal partially supports a workshop on stochastic programming scheduled for October 9-10, 2004, at the University of Arizona, in conjunction with the tri-annual conference of the Committee on Stochastic Programming of the Mathematical Programming Society October 11-15. The idea is to leverage the presence of leading researchers at the conference to offer a tutorial symposium that will inform and attract Ph.D. students to the field, including overviews of recent progress and opportunities for future research. Stochastic programming was once so computationally challenging that it existed only in textbooks, but recent progress has made it possible to solve model of application scale. Methods are now used routinely in design and financial planning activities involving major risk and uncertainty. This progress has reinvigorated researcher interest, but the unique synthesis of optimization and stochastic branches of operations research required to conduct research in this area makes it difficult for Ph.D. students to enter. This symposium will contribute to overcoming these hurdles, by exposing promising students to several of the best minds in the field.