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An Introduction to Optimization, Fourth Edition (Hardcover, 4th Edition)
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An Introduction to Optimization, Fourth Edition (Hardcover, 4th Edition)
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Praise for the Third Edition "...guides and leads the reader
through the learning path ...[e]xamples are stated very clearly and
the results are presented with attention to detail." MAA Reviews
Fully updated to reflect new developments in the field, the Fourth
Edition of Introduction to Optimization fills 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: * A new chapter on integer programming *
Expanded coverage of one-dimensional methods * Updated and expanded
sections on linear matrix inequalities * Numerous new exercises at
the end of each chapter * MATLAB exercises and drill problems to
reinforce the discussed theory and algorithms * Numerous diagrams
and figures that complement the written presentation of key
concepts * MATLAB M-files for implementation of the discussed
theory and algorithms (available via the book's website)
Introduction to Optimization, Fourth Edition 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.
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