July 12, 2006

Dear members of EUROPT,

in the following please find an book announcement

which our friend and member Prof. Dr. János D. Pintér

sent to us.

With best wishes,

Gerhard-Wilhelm Weber

----------------

Global Optimization with Maple

An Introduction with Illustrative Examples

--- An electronic book ---

Written by János D. Pintér

Published and distributed by

Pintér Consulting Services Inc.,

Halifax, NS, Canada

and

Maplesoft, a division of Waterloo Maple Inc.

Waterloo, ON, Canada

© Pintér Consulting Services Inc., 2006

ISBN 1-897310-15-3

Electronic version available by download (from

Maplesoft) or by e-mail (from the author).

Single user price: USD 99.00; group and site licenses are also

available.

Please contact the author

< jdpinter@hfx.eastlink.ca > or Maplesoft < info@maplesoft.com > for

details.

Summary Description

This electronic book presents Maple as an

advanced model development and optimization

environment. A special emphasis is placed on

solving multiextremal models, using the Global

Optimization Toolbox? for Maple?. Following a

brief topical introduction, an extensive

collection of detailed numerical examples and

illustrative case studies is presented. The book

is available in the form of a fully functional

(interactive, readily modifiable), printable

Maple worksheet, and/or as a set of hyperlinked

worksheets. This live book works with Maple 9.5

or above, across all supported Maple platforms.

To solve the models presented in the book, the

Global Optimization Toolbox is recommended, and

it is used throughout the book. Readers may also

like to experiment with built-in Maple optimization

functionality, or perhaps with their own native Maple solvers.

The Global Optimization Toolbox is available from

Maplesoft

http://www.maplesoft.com/products/toolboxes/globaloptimization/.

Please feel free to contact the author

< jdpinter@hfx.eastlink.ca > for technical information and background.

The following topics are covered

(please see TOC below for details):

* A brief introduction to Operations Research / Management Science

(ORMS)

* Maple as an integrated platform for developing ORMS studies and

applications

* A review of the key global optimization concepts

* The Global Optimization Toolbox? (GOT) for

Maple?, including a concise discussion of the core LGO? solver

technology

* Model development tips

* Detailed ?hands-on? numerical examples of using

the GOT, from a simple illustration of the key

tools and options to more advanced challenges

* Illustrative case studies from the sciences and engineering.

This (150-page when printed) electronic book will

be of interest to practitioners, researchers,

academics, and students in the sciences and engineering.

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