Introduction to Global Optimization

Author: Houst
Publisher:
Publish Date: 2003-09-01
Features: This book focuses on global optimization as its subject, introducing various methods for solving global optimal solutions of constrained optimization problems from theoretical, algorithmic, and computational perspectives. It discusses recent developments in the field of global optimization, including non-convex quadratic programming, general concave minimization, DC programming, Lipschitz optimization, and network optimization, among others. The book is divided into seven chapters, each accompanied by a set of exercises, and provides reference answers to these exercises, along with additional references and an index at the end. It serves as a textbook for senior undergraduate and graduate students in applied mathematics, computational mathematics, operations research and control theory, management science and engineering, and industrial engineering, among other disciplines, to learn about global optimization. Additionally, it can be used as a reference book for researchers and engineers in various fields who need to model and solve problems using global optimization methods.