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Fundamentals of Optimization Techniques with Algorithms

Fundamentals of Optimization Techniques with Algorithms

by Sukanta Nayak
Paperback
Publication Date: 01/10/2020

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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.

ISBN:
9780128211267
9780128211267
Category:
Maths for engineers
Format:
Paperback
Publication Date:
01-10-2020
Language:
English
Publisher:
Elsevier Science & Technology
Country of origin:
United Kingdom
Dimensions (mm):
228.6x152.4mm

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