Course code

MLM6210.DT

old course code

MLM6210

Course title in Estonian

Matemaatiline planeerimine

Course title in English

Mathematical Programming

ECTS credits

4.0

Assessment form

Examination

lecturer of 2023/2024 Spring semester

Not opened for teaching. Click the study programme link below to see the nominal division schedule.

lecturer of 2024/2025 Autumn semester

Not opened for teaching. Click the study programme link below to see the nominal division schedule.

Course aims

Objectives are building mathematical models of economic situations, solutions for optimisation problems.

Brief description of the course

Main concepts of systems with linear inequalities. The set of solutions, convex sets. Minkowski theorem. Feasible solutions. Convex programming. Standard and canonical forms of linear programming problems. Optimal solutions. Dual linear programming. Duality theorems. Graphical solutions of programming problems. Simplex method. Initial plans. Alternative solutions. Degeneracy. Integer programming. Transportation problems, Elements of game theory. Linear programming and games.

Learning outcomes in the course

Upon completing the course the student:
- knows mathematical facts and is able to use methods in volume of a subject.

Teacher

professor Andi Kivinukk

Study programmes containing that course

Mathematics, Mathematical Economics and Data Analysis (MLMB/15.DT)
Mathematics, Mathematical Economics and Data Analysis (MLMB/14.DT)
Mathematics, Mathematical Economics and Data Analysis (MLMB/11.DT)
Mathematics, Mathematical Economics and Data Analysis (MLMB/10.DT)
Mathematics, Mathematical Economics and Data Analysis (MLMB/09.DT)