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 Название: Fundamentals of Optimization Techniques with Algorithms
Автор: Sukanta Nayak
Издательство: Academic Press
Год: 2020
Формат: true pdf/epub
Страниц: 322
Размер: 20 Mb
Язык: English
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
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Автор: bomboane 7-12-2020, 15:48 | Напечатать | СООБЩИТЬ ОБ ОШИБКЕ ИЛИ НЕ РАБОЧЕЙ ССЫЛКЕ
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Fundamentals of Optimization Techniques with Algorithms 
