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.
Recenzii
Nicio recenzie găsită.