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Item specifics

Condition: Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab

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

Author: Tony Hürlimann

Item Weight: 29.2 Oz

Item Width: 8.3 in

Number of Pages: Xxii, 313 Pages

About this 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

Author

Tony Hürlimann

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

Series Volume Number

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