Mathematical Modeling and Optimization: An Essay for the Design of Computer-Based Modeling Tools / Edition 1

Mathematical Modeling and Optimization: An Essay for the Design of Computer-Based Modeling Tools / Edition 1

by Tony Hurlimann
     
 

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ISBN-10: 1441948147

ISBN-13: 9781441948144

Pub. Date: 04/30/2014

Publisher: Springer US

The book proposes concepts and a general framework for computer-based modeling. It puts forward a modeling language as a kernel representation for mathematical models. It explores fundamental features of models and defines the notion of mathematical model and other related concepts. It gives a comprehensive overview of the modeling life cycle. The most frequently used

Overview

The book proposes concepts and a general framework for computer-based modeling. It puts forward a modeling language as a kernel representation for mathematical models. It explores fundamental features of models and defines the notion of mathematical model and other related concepts. It gives a comprehensive overview of the modeling life cycle. The most frequently used methodologies of modeling management systems actually available are reviewed and a new framework in computer-based modeling is proposed. The book not only gives a theoretical foundation of modeling, but presents a concrete implementation using the modeling language LPL. It includes many concrete applications. All models and the complete software can be downloaded from the Web free of charge.
Audience: This book is intended for modeling tool designers, as well as students and teachers in mathematical modeling, and for real-live model 'practitioners'.

Product Details

ISBN-13:
9781441948144
Publisher:
Springer US
Publication date:
04/30/2014
Series:
Applied Optimization Series, #31
Edition description:
Softcover reprint of the original 1st ed. 1999
Pages:
313
Product dimensions:
8.27(w) x 11.02(h) x 0.70(d)

Table of Contents

1. Introduction. 2. What is Modeling? 3. The Modeling Life Cycle. 4. Model Paradigms. 5. Problems and Concepts. 6. An Overview of Approaches. 7. A Modeling Framework. 8. The Definition of the Language. 9. The Implementation. 10. Selected Applications. 11. Conclusion. References. Glossary. Index.

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