Fundamentals of Optimization Techniques with Algorithms

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.

Optimizarea este un concept cheie in matematica, informatica si cercetare operationala si este esentiala pentru modelarea oricarui sistem, jucand un rol integral in proiectarea asistata de computer. Fundamentele tehnicilor de optimizare cu algoritmi prezinta un pachet complet de diverse tehnici de optimizare traditionale si avansate, impreuna cu o varietate de exemple de probleme, algoritmi si tehnici de optimizare a codului MATLAB (c), pentru modele liniare si neliniare cu variabila unica si multivariabila, precum si cu tehnici de optimizare obiective si avansate.