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Cover image for Operations research models and methods
Title:
Operations research models and methods
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Publication Information:
Haboken, New Jersey : John Wiley & Sons, 2003
Physical Description:
1 CD-ROM ; 12 cm
ISBN:
9780471380047
General Note:
Accompanies text with teh same title (T57.6 J47 2003
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Summary

Summary

In a rapidly developing field like Operations Research, its easy to get overwhelmed by the variety of topics and analytic techniques. Paul Jensen and Jonathan Bard help you master the expensive field by focusing on the fundamental models and methodologies underlying the practice of Operations Research.

Bridging the gap between theory and practice, the author presents the quantitative tools and models most important to understanding modern operations research. You'll come to appreciate the power of OR techniques in solving real-world problems and applications in your own field. You'll learn how to translate complex situations into mathematical models, solve models and turn models into solutions. This text is designed to bridge the gap between theory and practice by presenting the quantitative tools and models most suited for modern operations research. The principal goal is to give analysts, engineers, and decision makers a larger appreciation of their roles by defining a common terminology and by explaining the interfaces between the underlying methodologies.

Features

Divides each subject into methods and models, giving you greater flexibility in how you approach the material. Concise and focused presentation highlights central ideas. Many examples throughout the text will help you better understand mathematical material.


Author Notes

Paul A. Jensen and Jonathan F. Bard are the authors of Operations Research Models and Methods, published by Wiley.


Table of Contents

Problem Solving With Operations Research
Linear Programming Models
Linear Programming Methods
Sensitivity Analysis, Duality, and Interior Point Methods
Network Flow Programming Models
Network Flow Programming Methods
Integer Programming Models
Integer Programming Methods
Nonlinear Programming Models
Nonlinear Programming Methods
Models for Stochastic Processes
Discrete-Time Markov Chains
Mathematics of Discrete-Time Markov Chains
Continuous-Time Markov Chains
Mathematics of Continuous-Time Markov Chains
Queuing Models
Queuing Networks and Decision Models
Simulation
Index
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