Optimisation

MAT13 Optimisation

Spring 2019

  • Learning outcome

    The course will give the students insight in central methods of optimization in mathematical analysis and in linear programming, and how these can be applied in economics. 

    Knowledge

    The students

    • Have knowledge of the main methods of optimization in mathematical analysis and in linear programming.
    • Understand the role of convexity in problems of optimization.
    • Understand the role of duality in linear programming. 

    Skills

    The students

    • Can set up, solve, and analyze models for static optimization with various constraints by use of Kuhn-Tucker's method.
    • Can set up models for optimization with linear programming, and analyze these both theoretically and with computer tools.
    • Can apply such models to network problems of relevance in economics  

    General competence

    The students

    •  Have understanding of principles for mathematical formulation of economic models

Overview

ECTS Credits
7.5
Teaching language
Norwegian
Semester

Spring. Offered spring 2019.