IØ8807 - Advanced Course in Complementarity Models and Equilibrium


Examination arrangement

Examination arrangement: Work
Grade: Passed/Failed

Evaluation form Weighting Duration Examination aids Grade deviation
Work 100/100

Course content

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

The course will cover topics in Nonlinear Programming and optimality conditions. Further it will give an overview of Mixed Complementarity Problems including the principle of symmetry and other optimization MCP Connections. We will describe the links to the variational inequality formulation and related theory about cones. We will define generalized Nash equilibriums. Finally the course will cover solution methods for MCPs/Vis/MPECs.

Learning outcome

After having completed the course the candidate should be able to
- define KKT conditions for non-linear programming models.
- formulate and solve Mixed Complementarity Problems.
- recognize and understand the links between MCP and optimization models and variational inequalities.
- choose between relevant solution methods to solve MCPs/Vis/MPECs.

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.


Detailed timetable


Examination arrangement: Work

Term Statuskode Evaluation form Weighting Examination aids Date Time Room *
Spring ORD Work 100/100
  • * The location (room) for a written examination is published 3 days before examination date.
If more than one room is listed, you will find your room at Studentweb.