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.
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