This undergraduate textbook introduces students of science and engineering to the fascinating field of optimization. It is a unique book that brings together the subfields of mathematical programming, variational calculus, and optimization in a single reference. As a primer on optimization, its main goal is to provide a succinct and accessible introduction to linear programming, nonlinear programming, numerical optimization algorithms, variational problems, dynamic programming, and optimal control. Prerequisites have been kept to a minimum, although a basic knowledge of calculus, linear algebra, and differential equations is assumed. There are numerous examples, illustrations, and exercises throughout the text, making it an ideal book for self-study. Applied mathematicians, physicists, engineers, and scientists will find this introduction to optimization extremely useful
CONTENT
Linear Programming -- Nonlinear Programming -- Approximation Techniques -- Variational Problems and Dynamic Programming -- Optimal Control
Mathematics
Operations research
Decision making
Game theory
Mathematical optimization
Physics
Microwaves
Optical engineering
Mathematics
Game Theory Economics Social and Behav. Sciences
Optimization
Theoretical Mathematical and Computational Physics
