Engineering Research Equipment: Workstations for Computational Studies in Large-Scale Simulation and Mathematical Programming Research

小行星9423929 这是一项研究设备补助金（REG），用于购买工作站，以支持大规模模拟和数学编程领域的计算研究项目。该设备将安置在现有的模拟和优化实验室中。新设备将用于支持一系列研究项目，包括必要的计算研究，以评估验证仿真模型结构特性的新算法的可行性，测试研究高效和有效制造工艺设计的新仿真算法，评估新稳态仿真灵敏度估计器的效率，以及用于解决大规模混合整数0 - 1问题、非线性和非凸工程设计问题以及各种运输和配送问题的设计和测试算法。 由于提高了速度和记忆储存能力，所要求的工作站将提供必要的资源，以便对调查人员目前进行的若干研究领域的算法进行深入的测试和分析。这可能会导致改善，否则是不可能的。此外，研究生和本科生都将受益于新的硬件。研究生使用这些设备将使他们能够调查更大和更有意义的研究问题。对本科生来说，使用这些设备辅助课堂教学，将使他们有机会应用现代计算机设施来解决大型工程问题。

9423929 Jacobson This is a research equipment grant (REG) for the purchase of workstations to support computational research projects in the areas of large-scale simulation and mathematical programming. The equipment is to be housed in an existing laboratory on simulation and optimization. The new equipment will be used to support a host of research projects , including computational research necessary to assess the viability of new algorithms for verifying simulation model structural properties, test new simulation algorithms that study the design of efficient and effective manufacturing processes, assess the efficiency of new steady state simulation sensitivity estimators, as well as design and test algorithms for solving large-scale mixed integer zero-one problems, nonlinear and nonconvex engineering design problems, and various transportation and distribution problems. Because of the enhanced speed and memory storage capacity, the workstations requested will provide the resources necessary to undertake in-depth testing and analysis of algorithms in several areas of research currently pursued by the investigators. This could lead to improvement that would otherwise not be possible. In addition, both graduate and undergraduate students will benefit from the new hardware. The use of the equipment by graduate students will allow them to investigate larger and more meaningful research problems. For undergraduates, the use of the equipment in support of classroom instructions will expose them to the applications of modern computing facilities to solve large-scale engineering problems.