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Discrete optimisation

MTH4333

Synopsis

This unit provides an introduction to optimisation over discrete domains using integer programming and combinatorial methods. Discrete optimisation is frequently used to model decision problems in business and industry. This unit covers some of the mathematical tools required to solve these types of problems in practice. Building on linear programming, the unit will cover dynamic programming, branch-and-bound, polyhedral analysis, decomposition methods and an introduction to heuristic search for combinatorial optimisation problems.

Sourced from the Monash Handbook 2026.

Quick facts

Credit points
6
Level
3
Audience
Postgraduate
Type
Coursework
School
Faculty of Science
Faculty
School of Mathematics
Handbook year
2026

Prerequisites (1)

What it unlocks

Nothing in the visible graph depends on this unit.