Large-Scale Optimization

Education facts

Code: MMA511

This course in optimization primarily treats large-scale, difficult, and often combinatorial optimization problems. You will study different methods of tackling such problems, through a lecture series and working on projects in a group. You will also touch on current research topics such as optimality conditions for non-convex optimization, column generation, and Lagrange duality. The course will conclude with an algorithm contest, where you compete by´choosing the best and/or quickest approach to solving a problem!

Entry requirements

The prerequisite for the course Large-Scale Optimization is the equivalent of the course MMG621 Nonlinear Optimization or equivalent of the course MMG631 Linear and Integer Optimization with Applications.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Large-Scale Optimization

  University of Gothenburg

  Start date: 5 November 2025

  End date: 18 January 2026

  Pace of study: 50 %