Introduction To Nonlinear Optimization Theory Algorithms And Applications With Matlab Amir Beck by Amir Beck 9789781611933, 9781611936 instant download after payment.

This book emerged from the idea that an optimization training should include three
basic components: a strong theoretical and algorithmic foundation, familiarity with
various applications, and the ability to apply the theory and algorithms on actual “real-life”
problems. The book is intended to be the basis of such an extensive training. The
mathematical development of the main concepts in nonlinear optimization is done rigorously,
where a special effort was made to keep the proofs as simple as possible. The results
are presented gradually and accompanied with many illustrative examples. Since the aim
is not to give an encyclopedic overview, the focus is on the most useful and important
concepts. The theory is complemented by numerous discussions on applications from
various scientific fields such as signal processing, economics and localization. Some basic
algorithms are also presented and studied to provide some flavor of this important aspect
of optimization. Many topics are demonstrated by MATLAB programs, and ideally, the
interested reader will find satisfaction in the ability of actually solving problems on his or
her own. The book contains several topics that, compared to other classical textbooks,
are treated differently. The following are some examples of the less common issues.