Series Preface Preface Introduction Linear Programming Nonlinear Programming Approximation Techniques Variational Problems and Dynamic Programming Optimal Control References Index
Series Preface*Preface*Introduction*Linear Programming*Nonlinear Programming* Approximation Techniques*Variational Problems and Dynamic Programming*Optimal Control*References*Index
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 optimal control, thus giving students an overall view of all aspects of 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.
This undergraduate textbook aims to introduce students of science and
engineering to the fascinating field of optimization. It brings
together mathematical programming, variational problems, and optimal
control, thus giving students an overall view of the subject.
Applied mathematicians, physicists, engineers, and scientists will all
find this introduction to optimization useful.