Introduction to Nonlinear and Global Optimization

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

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English

Springer-Verlag New York Inc.
01 June 2012

Calculus of variations; Differential & Riemannian geometry; Linear programming

Series: Springer Optimization and Its Applications

"Nonlinear Optimization is an intriguing area of study where mathematical theory, algorithms and applications converge to calculate the optimal values of continuous functions. Within this subject, Global Optimization aims at finding global optima for difficult problems in which many local optima might exist.

This book provides a compelling introduction to global and non-linear optimization providing interdisciplinary readers with a strong background to continue their studies into these and other related fields. The book offers insight in relevant concepts such as ""region of attraction"" and ""Branch-and-Bound"" by elaborating small numerical examples and exercises for the reader to follow."

By: Eligius M.T. Hendrix, Boglárka G.-Tóth
Imprint: Springer-Verlag New York Inc.
Country of Publication: United States
Edition: 2010 ed.
Volume: 37
Dimensions: Height: 235mm, Width: 155mm, Spine: 12mm
Weight: 343g
ISBN: 9781461425823
ISBN 10: 1461425824
Series: Springer Optimization and Its Applications
Pages: 208
Publication Date: 01 June 2012
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Mathematical modeling, cases.- NLP optimality conditions.- Goodness of optimization algorithms.- Nonlinear Programming algorithms.- Deterministic GO algorithms.- Stochastic GO algorithms.

Reviews for Introduction to Nonlinear and Global Optimization

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)