Applied Optimisation

Understanding the basic principles of Optimisation and methods that are used in practice to solve complex problems, concerning the steady state of the system studied.

Objectives

Understanding the basic principles of Optimisation and methods that are used in practice to solve complex problems, concerning the steady state of the system studied.

Prerequisites

None

Syllabus

The economic and technological development has made it possible to address complex problems. Basic requirement for the solution of such problems is the "best" approach with the application of methods to optimize both their design and function. This course provides the basic principles of optimization and the methods applied in practice for solving complex problems. The material included is the one in the corresponding semester course the Department of Electrical and Computer Engineering University of Patras and has to do with the steady-state analysis of systems. Optimal solutions for the transient response is examined in other courses. The material included in this course is structured in five sections. The First Section provides the general conditions and definitions relating to optimization problems. The Second Section discusses various characteristics and properties of the functions to be used. The Third and Fourth Section include the development of analytical methods for optimizing functions of one or several variables, respectively. Finally, the Fifth section presents specific applications for cascaded systems or parallel processes.