Graph Structures for Discrete Event Simulation

离散事件模拟的图形结构

• 批准号: 8810517
• 负责人: Lee Schruben
• 金额: $ 6.43万
• 依托单位: Cornell University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1988
• 资助国家: 美国
• 起止时间: 1988-11-01 至 1989-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8810517&HistoricalAwards=false
• 关键词: Graph; Structures; Discrete; Event; Simulation

Simulation is potentially the most important computing application in modern scientific and engineering research. There are two broad classifications of simulation models: continuous simulations and discrete event simulations. Continuous simulations are the more popular of the two approaches largely due their explicit mathematical structure in the form of differential or difference equations. While discrete event simulations have some advantages in terms of generality and computational efficiency, they do not yet have an explicit mathematical representation with anywhere near the generality and utility of differential equations. The lack of mathematical structure for discrete event simulations accounts in part for the apparent ad- hoc and complex nature of these models. Discrete event simulations are typically very difficult to program correctly. The ultimate research goal is the development of a mathematical base that will have practical applications in developing and experimenting with discrete event simulation models.

模拟可能是最重要的计算应用 现代科学和工程研究。 有两大 仿真模型的分类：连续仿真和 离散事件模拟 连续模拟越多， 这两种方法的流行主要是由于其明确的数学 结构的形式微分或差分方程。 而 离散事件模拟在通用性方面具有一些优势 和计算效率，他们还没有一个明确的 数学表达与任何地方接近的一般性， 微分方程的应用 缺乏数学结构 对于离散事件模拟，部分解释了明显的广告- 这些模型的特殊性和复杂性。 离散事件模拟 通常很难正确编程。 最终 研究目标是发展一个数学基础， 在开发和试验离散 事件模拟模型