Téléchargez le livre : Fundamentals of Optimization Techniques with Algorithms

Fundamentals of Optimization Techniques with Algorithms

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Academic Press


Paru le : 2020-08-25

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Description
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. - Presents optimization techniques clearly, including worked-out examples, from traditional to advanced - Maps out the relations between optimization and other mathematical topics and disciplines - Provides systematic coverage of algorithms to facilitate computer coding - Gives MATLAB© codes in relation to optimization techniques and their use in computer-aided design - Presents nature-inspired optimization techniques including genetic algorithms and artificial neural networks
Pages
320 pages
Collection
n.c
Parution
2020-08-25
Marque
Academic Press
EAN papier
9780128211267
EAN PDF
9780128224922
Informations sur l'ebook
Nombre pages copiables
32
Nombre pages imprimables
32
Taille du fichier
18852 Ko
Prix
138,20 €
EAN EPUB SANS DRM
9780128224922
Informations sur l'ebook
Prix
138,20 €

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