John Burgess is the author of a rich and creative body of work which seeks to defend classical logic and mathematics through counter-criticism of their nominalist, intuitionist, relevantist, and other critics. This selection of his essays, which spans twenty-five years, addresses key topics includin
Mathematical Modeling and Optimization: An Essay for the Design of Computer-Based Modeling Tools
β Scribed by Tony HΓΌrlimann (auth.)
- Publisher
- Springer US
- Year
- 1999
- Tongue
- English
- Leaves
- 322
- Series
- Applied Optimization 31
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Computer-based mathematical modeling - the technique of representing and managing models in machine-readable form - is still in its infancy despite the many powerful mathematical software packages already available which can solve astonishingly complex and large models. On the one hand, using mathematical and logical notation, we can formulate models which cannot be solved by any computer in reasonable time - or which cannot even be solved by any method. On the other hand, we can solve certain classes of much larger models than we can practically handle and manipulate without heavy programming. This is especially true in operations research where it is common to solve models with many thousands of variables. Even today, there are no general modeling tools that accompany the whole modeling process from start to finish, that is to say, from model creation to report writing. This book proposes a framework for computer-based modeling. More precisely, it puts forward a modeling language as a kernel representation for mathematical models. It presents a general specification for modeling tools. The book does not expose any solution methods or algorithms which may be useful in solving models, neither is it a treatise on how to build them. No help is intended here for the modeler by giving practical modeling exercises, although several models will be presented in order to illustrate the framework. Nevertheless, a short introduction to the modeling process is given in order to expound the necessary background for the proposed modeling framework.
β¦ Table of Contents
Front Matter....Pages i-xxii
Introduction....Pages 1-13
Front Matter....Pages 15-16
What is Modeling?....Pages 17-36
The Modeling Life Cycle....Pages 37-65
Model Paradigms....Pages 67-97
Front Matter....Pages 99-100
Problems and Concepts....Pages 101-114
An Overview of Approaches....Pages 115-154
A Modeling Framework....Pages 155-205
Front Matter....Pages 207-208
The Definition of the Language....Pages 209-233
The Implementation....Pages 235-247
Selected Applications....Pages 249-287
Conclusion....Pages 289-292
Back Matter....Pages 293-313
β¦ Subjects
Mathematics, general; Mathematical Modeling and Industrial Mathematics; Information and Communication, Circuits; Applications of Mathematics; Optimization
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