Introduction to nonlinear optimization: theory, algorithms, and applications with MATLAB

摘要

Readers will find an elementary introduction to classical nonlinear optimization problems and methods for their solution in this book. The contents start from optimality conditions for unconstrained problems and describe the most common methods for various types of optimization problems (least squares, gradient methods, Newton iteration). Then, the author moves on to convex problems where the corresponding questions are addressed as well.