course-details-portlet

IØ8806 - Introduction Course in Complementarity Models and Equilibrium

About

Examination arrangement

Examination arrangement: Work
Grade: Passed / Not Passed

Evaluation Weighting Duration Examination aids
Work 100/100

Course content

Introduction Course in Complementarity Models and Equilibrium is an intensive PhD course over 4 days given by Professor Steven A. Gabriel, University of Maryland and NTNU.

Course content includes: Karush-Kuhn-Tucker Conditions and links to Linear Programming (LP) and Nonlinear Programming (NLP) Introduction to Non-Cooperative Games (Two-Person, Zero-Sum, N-Player Nash-Cournot), Introduction to Mixed Complementarity Problems (MCPs), Applications of Mixed Complementarity Problems, Principle of Symmetry Case Study (energy or transportation), modelling session.

Learning outcome

After having completed the course the candidate should

  • understand deriving of KKT conditions for equilibrium problems and nonlinear models
  • be able to describe and model Nash equilibria for practical problems
  • understand and model Cournot-Nash equilibria
  • model equilibrium models in GAMS and solve them with Path

Learning methods and activities

There will be in total 25 hours of lectures and a mandatory exercise.

Course materials

Selected literature. Will be given at course start-up.

More on the course

No

Facts

Version: 1
Credits:  2.5 SP
Study level: Doctoral degree level

Coursework

Term no.: 1
Teaching semester:  AUTUMN 2024

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Managerial Economics, Finance and Operations Research
  • Industrial Economics and Technology Management
  • Business Economics
  • Operations Research
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of Industrial Economics and Technology Management