Description
Mathematical modeling is an essential part of most optimization problem-solving processes. To reduce the gap between the solutions obtained from mathematical models and the real-world solutions to practical problems, appropriate modeling techniques must be applied along with efficient solution approaches. Optimization Modelling presents different modeling techniques, illustrated by various examples. A range of well-known theoretical and practical problems are analyzed, and the use of optimization packages is demonstrated for mathematical models. Including numerous case studies, the book also addresses practical aspects and challenges of problem solving and solution implementation.
Table of Contents:
Introduction to Optimization and Modelling |
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Introduction |
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The Process of Optimization |
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Introduction to Modelling |
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Modelling Techniques |
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Simple Modelling Techniques I |
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Simple Modelling Techniques II |
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Modelling Large-Scale and Well-Known Problems I |
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Modelling Well-Known Problems II |
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Alternative Modelling |
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Model Solving |
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Solution Approaches: An Overview |
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Input Preparation and Model Solving |
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Output Analysis and Practical Issues |
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Basic Optimization Techniques |
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Practical Problems |
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Models for Practical Problems I |
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Models for Practical Problems II |
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Solving Practical Problems |
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Table of Contents provided by Blackwell. All Rights Reserved. |