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Fundamentals of Optimization Techniques with Algorithms (1st edition)

Publication Type : Book

Publisher : Academic Press

Source : Academic Press, Academic Press, ISBN: 9780128211267 (2020)

Url :

ISBN : 9780128211267

Campus : Coimbatore

School : School of Engineering

Department : Mathematics

Year : 2020

Abstract : Optimization is a key concept in mathematics, computer science, and operations research, and is essential to the modeling of any system, playing an integral role in computer-aided design. Fundamentals of Optimization Techniques with Algorithms presents a complete package of various traditional and advanced optimization techniques along with a variety of example problems, algorithms and MATLAB© code optimization techniques, for linear and nonlinear single variable and multivariable models, as well as multi-objective and advanced optimization techniques. It presents both theoretical and numerical perspectives in a clear and approachable way. In order to help the reader apply optimization techniques in practice, the book details program codes and computer-aided designs in relation to real-world problems. Ten chapters cover, an introduction to optimization; linear programming; single variable nonlinear optimization; multivariable unconstrained nonlinear optimization; multivariable constrained nonlinear optimization; geometric programming; dynamic programming; integer programming; multi-objective optimization; and nature-inspired optimization. This book provides accessible coverage of optimization techniques, and helps the reader to apply them in practice.

Cite this Research Publication : Sukanta Nayak, Fundamentals of Optimization Techniques with Algorithms (1st edition). Academic Press, ISBN: 9780128211267, 2020.

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