An Introduction to Optimization 4th Edition PDF Download Ebook. Edwin K. P. Chong and Stanislaw H. Zak fill the need for accessible treatment of optimization theory and methods with an emphasis on engineering design. Basic definitions and notations are provided in addition to the related fundamental background for linear algebra, geometry, and calculus.

This new edition explores the essential topics of unconstrained optimization problems, linear programming problems, and nonlinear constrained optimization. The authors also present an optimization perspective on global search methods and include discussions on genetic algorithms, particle swarm optimization, and the simulated annealing algorithm.

Featuring an elementary introduction to artificial neural networks, convex optimization, and multi-objective optimization, the Fourth Edition also offers new chapter on integer programming with expanded coverage of one-dimensional methods, updated and expanded sections on linear matrix inequalities. There are numerous new exercises at the end of each chapter. MATLAB exercises and drill problems are aimed to reinforce the discussed theory and algorithms.

Numerous diagrams and figures complement the written presentation of key concepts. There are MATLAB M-files for implementation of the discussed theory and algorithms (available via the book's website). It is an ideal textbook for courses on optimization theory and methods. In addition, the book is a useful reference for professionals in mathematics, operations research, electrical engineering, economics, statistics, and business. The examples are stated very clearly and the results are presented with attention to detail.

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