Course details

# Optimization

OPM Acad. year 2011/2012 Winter semester 4 credits

The course presents fundamental optimization models and methods for solving of technical problems. The principal ideas of mathematical programming are discussed: problem analysis, model building, solution search, and the interpretation of results. The course mainly deals with linear programming (polyhedral sets, simplex method, duality) and nonlinear programming (convex analysis, Karush-Kuhn-Tucker conditions, selected algorithms). Basic information about network flows and integer programming is included as well as further generalizations of studied mathematical programs.

Guarantor

Michálek Jaroslav, doc. RNDr., CSc. (DM OSO FME BUT)

Language of instruction

Czech

Completion

Credit+Examination (written+oral)

Time span

26 hrs lectures, 13 hrs pc labs

Assessment points

60 exam, 40 projects

Department

DM OSO FME BUT

Lecturer

Popela Pavel, RNDr., Ph.D. (DM OSO FME BUT)

Subject specific learning outcomes and competences

The course is designed for mathematical engineers and it is useful for applied sciences students. Students will learn the theoretical background of fundamental topics in optimization (especially linear and non-linear programming). They will also made familiar with useful algorithms and interesting applications.

Learning objectives

The course objective is to emphasize optimization modelling together with solution methods. It involves problem analysis, model building, model description and transformation, and the choice of the algorithm. Introduced methods are based on the theory and illustrated by geometrical point of view.

Prerequisite kwnowledge and skills

Fundamental knowledge of principal concepts of Calculus and Linear Algebra in the scope of the mathematical engineering curriculum is assumed.

Study literature

• Klapka a kol.: Metody operačního výzkumu, Brno 2001 (in Czech).
• Dvořák a kol.: Operační analýza, Brno, 1996 (in Czech).
• Charamza a kol.: Modelovací systém GAMS, Praha 1994 (in Czech).
• Dupačová et al.: Lineárne programovanie, Alfa, 1990 (in Slovak).
• Bazaraa et al.: Linear Programming and Network Flows, Wiley 1990.
• Bazaraa et al.: Nonlinear Programming, Wiley 1993.

Progress assessment

The attendance at seminars is required as well as active participation. Passive or missing students are required to work out additional assignments.

Controlled instruction

The attendance at seminars is required as well as active participation. Passive or missing students are required to work out additional assignments.

Course inclusion in study plans