Practical Optimization: Algorithms and Engineering Applications, Second Edition

In recent decades, advancements in the efficiency of digital computers and the evolution of reliable software for numerical computation have led to a rapid growth in the theory, methods, and algorithms of numerical optimization. This body of knowledge has motivated widespread applications of optimization methods in many disciplines (e.g., engineering, business, and science) and has subsequently led to problem solutions that were considered intractable not long ago.
This unique and comprehensive textbook provides an extensive and practical treatment of the subject of optimization. Each half of the book contains a full semester’s worth of complementary, yet stand-alone material. In this substantially enhanced second edition, the authors have added sections on recent innovations, techniques, methodologies, and many problems and examples. These features make the book suitable for use in one or two semesters of a first-year graduate course or an advanced undergraduate course.

Key features:

proven and extensively class-tested content
presents a unified treatment of unconstrained and constrained optimization, making it a dual-use textbook
introduces new material on convex programming, sequential quadratic programming, alternating direction methods of multipliers (ADMM), and convex-concave procedures
includes methods such as semi-definite and second-order cone programming
adds new material to state-of-the-art applications for both unconstrained and constrained optimization
provides a complete teaching package with many MATLAB examples and online solutions to the end-of-chapter problems
uses a practical and accessible treatment of optimization
provides two appendices that cover background theory so that non-experts can understand the underlying theory
With its strong and practical treatment of optimization, this significantly enhanced revision of a classic textbook will be indispensable to the learning of university and college students and will also serve as a useful reference volume for scientists and industry professionals.



Andreas Antoniou is Professor Emeritus in the Dept. of Electrical and Computer Engineering at the University of Victoria, Canada. Wu-Sheng Lu is Professor in the same department and university.