南安大略数值分析日

SIGSAM Bull. Pub Date : 2000-09-01 DOI:10.1145/377604.569766
Robert M Corless
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引用次数: 0

摘要

本次讲座将调查格勒诺布尔计算机代数团队在DAEs上的五年项目(95-99)的活动。ACTE项目得到了法国电力公司(EDF)的支持,用于开发电力系统模拟的Eurostag软件。在回答EDF公司的问题时,ACTE的主要关注点是研究如何将计算机代数用于DAEs的研究和数值积分。已经区分并将提出三个主要主题:•使用全局误差估计器验证低指数DAEs的数值解。提出了收敛分析和数值试验。•设计了一种全符号索引约简算法,作为准线性DAEs的Rabier和Rheinbold方法的有效实现。•提出了一种廉价的数值/符号混合方法,用于高指数拟线性DAEs的数值积分。它是基于快速精确线性代数的索引初步约简。工业厂房模拟中的微分代数系统:5 m个人经验Grant Stephenson Honeywell Hi-Spec Solutions伦敦,加拿大在工业厂房模拟领域,解决工业过程的数学模型,以预测不同条件下的工厂运行。这些模型可用于多种用途,包括工厂设计、运行问题分析、控制策略评估、工厂运行优化和工厂操作人员培训。工厂模拟通常由大量的数学模型组成,每个数学模型代表由单个设备执行的处理的某些方面或在分布式控制系统中实施的控制策略。这些数学模型在逻辑上连接起来,形成一个工厂的整体模型,就像物理工厂中的工艺管道、电线和气动管道连接设备一样。每个设备模型都是一个非线性代数方程组或微分代数方程组。本报告描述了主讲人在培训工业工厂操作员的背景下,为管网、天然气液化和蒸馏塔中使用的低温热交换器建立和解决数学模型的一些经验。在实验室垫解决D D E s劳伦斯·f·Sharnpine南卫理公会大学T E x的年代的目标使其尽可能容易解决一类大时滞微分方程(dd), l的演讲者和·s·汤普森:tadford大学开发了一个程序,dde23,用恒定延迟Matlab解决dd。演讲者将简要讨论DDEs和ODEs之间的重要区别,然后讨论如何扩展ODEs的数值方法来求解DDEs。一些例子将表明,限制问题的类别、算法开发、Mat实验室中的语言设施和设计导致了一个DDE求解器,它既非常强大,又非常易于使用。求解器,一个教程,展示了如何使用它的许多例子,从文献中,和完整的解决方案的例子可以在http://~mw, tuner, eda/'thompBon/webddes/。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Southern Ontario Numerical Analysis Day
s of Invited Talks C o m p u t e r Algebra for Differential-Algebraic Equat ions (DAEs) Gilles ViUard LMC-IMA G / Equipe Caleul Formel Grenoble, l, ranee This talk will survey the activities of a five year project (95-99) of the computer algebra team of Grenoble on DAEs. The ACTE project has been supported by "Electricit~ de France" (EDF) in relation with the development of the Eurostag software for power systems simulation. Answering to questions of the company EDF, ACTE's main concerns have been to investigate how computer algebra could be involved for the study and the numerical integration of DAEs. Three main topics have been distinguished and will be presented: • The validation of numerical solutions of low index DAEs using global error estimators. Convergence analysis and numerical tests are proposed. • A fully symbolic index reduction algorithm is designed as an effective implementation of Rabier and Rheinbold's method for quasi-linear DAEs. • A cheap hybrid numeric/symbolic is proposed for the numerical integration of high index quasi-linear DAEs. It is based on fast exact linear algebra for a preliminary reduction of the index. Differential-Algebraic Systems in Industr ia l P lant Simulat ion: S o m e Personal Experiences Grant Stephenson Honeywell Hi-Spec Solutions London, Canada In the field of industrial plant simulation, mathematical models of industrial processes are solved to predict plant operation under varying conditions. These models c~a be used for many purposes including plant design, analysis of operating problems, assessment of control strategies, optimization of plant operation and training of plant operators. A plant simulation is typically comprised of a large number of mathematical models each representing some aspect of the processing performed by individual pieces of equipment or the control strategies implemented in the distributed control system. These mathematical models are logically connected to form an integrated model of the plant just as the process piping, electrical wiring and pneumatic tubing connect the equipment in the physical plant. Each equipment model is either a system of nonlinear algebraic equations or differential-algebraic equations. This presentation describes some of the presenter's experiences building and solving mathematical models for piping networks, cryogenic heat exchangers used in natural gas liquefaction and distillation columns in the context of training operators of industrial plants. Solving D D E s in Mat lab Lawrence F. Sharnpine Southern Methodist University, T e x a s With the goal of making it as easy as possible to solve a large class of delay differential equations (DDEs), the speaker and S. Thompson of l:tadford University developed a program, dde23, to solve DDEs with constant delays in Matlab. The speaker will discuss briefly important differences between DDEs and ODEs and then how numerical methods for ODEs can be extended to solve DDEs. Some examples will show that restricting the class of problems, algorithmic developments, language facilities in Mat lab , and design have resulted in a DDE solver that is both very capable and exceptionally easy to use. The solver, a tutorial that shows how to use it by means of many examples from the literature, and complete solutions of the examples are available at http://~mw, tuner, eda/'thompBon/webddes/.
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