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MA3212 - Optimisation and Operations Research

[Not offered in 2019]

Credit points: 3
Year: 2019
Student Contribution Band: Band 2
Administered by:

This subject covers linear programming (formulations, graphical solutions); the Simplex Method for solving Linear Programs; duality; network optimisation (link and path flow formulations for networks); shortest-path algorithms; integer optimisation (formulations); introduction to non-linear optimisation.

Learning Outcomes

  • formulate a problem as a linear programming model;
  • solve a linear programming problem with a graphical method and the simplex algorithm;
  • formulate linear programs for networks, as well as the shortest path algorithm;
  • formulate simple integer programming models;
  • apply the Karush-Kuhn-Tucker condition to find the properties of the optimal solution to a non-linear optimisation problem;
  • use MATLAB to solve optimisation problems.

Note: Minor variations might occur due to the continuous Subject quality improvement process, and in case of minor variation(s) in assessment details, the Subject Outline represents the latest official information.