Design and analysis of experiments in large scale computer simulations

大规模计算机模拟实验的设计和分析

• 批准号: 341340-2010
• 负责人: Loeppky, Jason
• 金额: $ 0.87万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2013
• 资助国家: 加拿大
• 起止时间: 2013-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=527271
• 关键词: Design; analysis; experiments; large; scale

Two areas are covered in the proposed research. The first is the design and analysis of computer experiments. Computer models are widely used in almost every area of science and engineering to model physical processes. Due to the computational burden of running the code, it is often necessary to build a statistical approximation of the code. The projects in this proposal involve examining various issues relating to building a good approximation of the code. For example, models for ecosystem health and land use involve a large number of inputs; in such cases it is necessary to understand how these inputs impact the output of the code and in particular how one can calibrate the model to match the particular geographic area under study. The calibrated model can be used to investigate the e?ects of climate change on ecosystems and can also be used to make decisions regarding land use and crops. When the output from the computer model is not well approximated by the statistical emulator, sequential collection of more computer model runs is also considered. In addition, considerations are given to developing efficient designs for physical processes. In particular we consider sequential techniques to add more runs to an experiment to improve estimates of potentially active factors. The main focus is on efficient strategies for the design of factorial experiments used for industrial product improvement.

拟议的研究涵盖两个领域。首先是计算机实验的设计和分析。计算机模型广泛应用于科学和工程的几乎每个领域来模拟物理过程。 由于运行代码的计算负担，通常需要构建代码的统计近似值。 该提案中的项目涉及检查与构建良好的代码近似值相关的各种问题。 例如，生态系统健康和土地利用模型涉及大量投入；在这种情况下，有必要了解这些输入如何影响代码的输出，特别是如何校准模型以匹配所研究的特定地理区域。 校准模型可用于研究气候变化对生态系统的影响，也可用于做出有关土地利用和作物的决策。当统计仿真器不能很好地近似计算机模型的输出时，还考虑顺序收集更多计算机模型运行。 此外，还考虑开发物理过程的高效设计。 特别是，我们考虑序贯技术在实验中添加更多运行，以改进对潜在活性因素的估计。 主要重点是用于工业产品改进的析因实验设计的有效策略。