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Mathematical Modeling and Optimization: An Essay for the Design of Computer-B-,
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Specificaties
- Objectstaat
- PublishedOn
- 2013-02-16
- Title
- Mathematical Modeling and Optimization: An Essay for the Design
- ISBN
- 9781441948144
- Subject Area
- Mathematics, Computers
- Publication Name
- Mathematical Modeling and Optimization : an Essay for the Design of Computer-Based Modeling Tools
- Publisher
- Springer
- Item Length
- 11 in
- Subject
- Computer Simulation, General, Applied, Optimization
- Publication Year
- 2013
- Series
- Applied Optimization Ser.
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Item Weight
- 29.2 Oz
- Item Width
- 8.3 in
- Number of Pages
- Xxii, 313 Pages
Over dit product
Product Identifiers
Publisher
Springer
ISBN-10
1441948147
ISBN-13
9781441948144
eBay Product ID (ePID)
108177222
Product Key Features
Number of Pages
Xxii, 313 Pages
Publication Name
Mathematical Modeling and Optimization : an Essay for the Design of Computer-Based Modeling Tools
Language
English
Publication Year
2013
Subject
Computer Simulation, General, Applied, Optimization
Type
Textbook
Subject Area
Mathematics, Computers
Series
Applied Optimization Ser.
Format
Trade Paperback
Dimensions
Item Weight
29.2 Oz
Item Length
11 in
Item Width
8.3 in
Additional Product Features
Intended Audience
Scholarly & Professional
Dewey Edition
22
Series Volume Number
31
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
511.8
Table Of Content
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.
Synopsis
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'., 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.
LC Classification Number
QA1-939
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