Fundamentals of Optimization Techniques with Algorithms
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Book Overview Optimization is a key concept in mathematics, computer science, and operations research, and is essential to the modeling of any system, ...
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(c) 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.
Book Details Format: Paperback | Pages: 320 | Language: English | Publisher: ACADEMIC PR INC | ISBN: 0128211261
FormatPaperback
Pages320
LanguageEnglish
ISBN0128211261
EAN9780128211267
PublisherACADEMIC PR INC
Publication Date2020-09-01
Edition1
AccessoriesNo Accessory
ConditionNew
Product TypeQUALITY PAPERBACK BOOKS
Weight0.96 Pounds
Length9.0 Inches
Width6.0 Inches
Height0.68 Inches
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