Table of Contents 

Preface
Acknowledgements
About the Author
 

Chapter 1: Introduction and Background

1.1      Operations Research for Decision Analysis and Support
1.2      Developing Decision Support Applications in Maple
1.3      Global Optimization: Relevance and Key Concepts
1.4      The LGO Solver Suite for Global and Local Optimization


Chapter 2: Global Optimization Toolbox for Maple

2.1      The Global Optimization Toolbox
2.2      Toolbox Installation
2.3      Initializing the GlobalOptimization and Optimization Packages
2.4      GOT Options and Parameter Settings
2.5      Model Formulation and Function Evaluation Options
2.6.     Global Optimization: Model Development and Solver Suggestions

Chapter 3: Getting Started with the GOT
3.1      A Convex Model
3.2      A Nonconvex Model
3.3      Runtime Information Level Options
3.4      A Difficult One-Dimensional Example, and a Cautionary Note
3.5      A "Standard" Model Development and Solution Approach
3.6      Shubert's Test Problem with Added Constraints
3.7      Standard Box-Constrained Nonlinear Optimization Test Problems
3.8      Some More Challenging Box-Constrained Models
3.9      Constrained Optimization Test Models
3.10    Incremental Model Development: An Example
3.11    Scalable Test Models
3.12    Model Definition by Procedural (Matrix) Formulation
3.13    A Linear Optimization Model with Indexed Variables
3.14    A Nonlinear Model with Indexed Variables
3.15    Using the GOT in Interactive Mode: A Box-Constrained Example
3.16    A General Constrained Model Solved in Interactive Mode
3.17    The GOT in Interactive Mode: Further Examples

Chapter 4:
More Advanced Examples
4.1    Trefethen's Hundred-dollar, Hundred-digit Challenge: Problem 4
4.2    Optimization with Embedded Computable Functions: An Example with Gamma Function
4.3    Optimization with Embedded Computable Functions: Examples with Trigonometric and Psi Functions
4.4    Optimization with Embedded Computable Functions: An Example with Bessel Functions
4.5    Optimization with Embedded Computable Functions: An Example with Spline Interpolation
4.6    Optimization of a Parametric Integral (Trefethen's Problem 9)
4.7    Calling MATLAB to Define Model Functions
4.8    Using External (Precompiled) Functions in a Model
4.9    Reporting the Current Best Solution from a Numerical Procedure During Optimization

Chapter 5: Illustrative Case Studies
5.1    Systems of Nonlinear Equations
5.2    A Simple Manufacturing Design Problem
5.3    A Model Fitting Example
5.4    A More Difficult Model Calibration Problem
5.5    A Chemical Equilibrium Model
5.6    Alkylation Process Model
5.7    Circuit Design Problem
5.8    Supply Chain Performance Optimization
5.9    A General (Non-Uniform) Circle Packing Problem
5.10  Further Application Perspectives
 
Concluding Notes
References