Just released:

Engineering Optimization: Applications, Methods, and Analysis
R. Russell Rhinehart, 2018
John Wiley & Sons, ISBN-13: 978-1118936337, ISBN-10:1118936337, 776 pages.
An Application-Oriented Introduction to Essential Optimization Concepts and Best Practices
The book provides a practically-focused introduction to modern engineering optimization best practices, covering fundamental analytical and numerical techniques throughout each stage of the optimization process.
Although essential algorithms are explained in detail, the focus lies more in the human function: how to create an appropriate objective function, choose decision variables, identify and incorporate constraints, define convergence, and other critical issues that define the success or failure of an optimization project.
Examples, exercises, and homework throughout reinforce the author’s “do, not study” approach to learning, underscoring the application-oriented discussion that provides a generic understanding of the optimization process that can be applied to any field.  
Providing excellent reference for students or professionals, Engineering Optimization:
·         Describes and develops a variety of algorithms, including gradient based (such as Newton’s, and Levenberg-Marquardt), direct search (such as Hooke-Jeeves, Leapfrogging, and Particle Swarm), along with surrogate functions for surface characterization
·         Provides guidance on optimizer choice by application, and explains how to determine appropriate optimizer parameter values
·         Details current best practices for critical stages of specifying an optimization procedure, including decision variables, defining constraints, and relationship modeling

Access to software and open source Visual Basic macros for Excel is provided on the companion website, www.r3eda.com, along with solutions to examples presented in the book.
Clear explanations, explicit equation derivations, and practical examples make this book ideal for use as part of a class or self-study, assuming a basic understanding of statistics, calculus, computer programming, and engineering models. Anyone seeking best practices for “making the best choices” will find value in this introductory resource.


R. Russell Rhinehart
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Web: www.r3eda.com
Books: https://www.amazon.com/author/rrussellrhinehart

Emeritus Professor
School of Chemical Engineering - 420 EN
Oklahoma State University
Stillwater, OK 74078-5021
Office: (405)744-5280
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