© 1999

Mathematical Modeling and Optimization

An Essay for the Design of Computer-Based Modeling Tools


Part of the Applied Optimization book series (APOP, volume 31)

Table of contents

  1. Front Matter
    Pages i-xxii
  2. Introduction

    1. Tony Hürlimann
      Pages 1-13
  3. Foundations of Modeling

    1. Front Matter
      Pages 15-16
    2. Tony Hürlimann
      Pages 17-36
    3. Tony Hürlimann
      Pages 37-65
    4. Tony Hürlimann
      Pages 67-97
  4. A General Modeling Framework

    1. Front Matter
      Pages 99-100
    2. Tony Hürlimann
      Pages 101-114
    3. Tony Hürlimann
      Pages 115-154
    4. Tony Hürlimann
      Pages 155-205
  5. LPL — An Implemented Framework

    1. Front Matter
      Pages 207-208
    2. Tony Hürlimann
      Pages 209-233
    3. Tony Hürlimann
      Pages 235-247
    4. Tony Hürlimann
      Pages 249-287
    5. Tony Hürlimann
      Pages 289-292
  6. Back Matter
    Pages 293-313

About this book


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.


Mathematica mathematical modeling modeling optimization

Authors and affiliations

  1. 1.Institute for InformaticsUniversity of FribourgSwitzerland

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