Introduction to Nonlinear and Global Optimization: 37 (Springer Optimization and Its Applications, 37) - Softcover

Hendrix, Eligius M.T.; G.-Tóth, Boglárka

Softcover

ISBN 10: 1461425824 ISBN 13: 9781461425823

Publisher: Springer, 2012

Synopsis

This text provides a compelling introduction to global and nonlinear optimization, providing both students of mathematics and interdisciplinary sciences with a strong background to continue their studies in these fields. The book offers insights into relevant concepts through numerous useful numerical examples and exercises.

About this title

Review:

From the reviews:

“At just over 200 pages, this book provides a concise introduction to many of the important ideas in nonlinear and global optimization. These ideas are well illustrated with many small scale computational examples. ... This textbook may be of interest to instructors who want to introduce global optimization in a first course and focus on basic concepts and algorithms ... .” (Brain Borchers, The Mathematical Association of America, September, 2010)

From the Back Cover:

This self-contained text provides a solid introduction to global and nonlinear optimization, providing students of mathematics and interdisciplinary sciences with a strong foundation in applied optimization techniques. The book offers a unique hands-on and critical approach to applied optimization which includes the presentation of numerous algorithms, examples, and illustrations, designed to improve the reader’s intuition and develop the analytical skills needed to identify optimization problems, classify the structure of a model, and determine whether a solution fulfills optimality conditions.

 

Key features of "Introduction to Nonlinear and Global Optimization":

- Offers insights into relevant concepts such as "regions of attraction", "branch-and-bound", and "cross-cutting" methods as well as many other useful methodologies.

-Exhibits numerical examples and exercises developing the reader’s familiarity with the terminology and algorithms that are frequently encountered in scientific literature.

- Presents various heuristic and stochastic optimization techniques demonstrating how each be applied to a variety of models from biology, engineering, finance, chemistry, and economics.

 

This book is intended to serve as a primary text in an advanced undergraduate or graduate course focusing on nonlinear and global optimization and requires an understanding of basic calculus and linear algebra.

About this edition

• Publisher: Springer
• Publication date: 2012
• ISBN 10: 1461425824
• ISBN 13: 9781461425823
• Binding: Paperback
• Number of pages: 219