| Review: |
This coursebook is an introduction to the applications, theory and algorithms of linear and nonlinear optimization, with emphasis on practical applications. It is divided into four parts. Part I covers the basics: optimization models, fundamentals and optimization, and the representation of linear constraints. Parts II (Linear programming) and III (Unconstrained optimization) can be approached independently – Part II does not assume that you have read Part I. The last part discusses nonlinear optimization. This new edition has been updated and there are many real-life examples and exercises. |