Optimization: principles and algorithms - Network and discrete optimization

Introduction to network optimization and discrete optimization

There is one session available:

After a course session ends, it will be archived.
Estimated 5 weeks
6–8 hours per week
Progress at your own speed

About this course

Skip About this course

Introduction to the mathematical concept of networks, and to two important optimization problems on networks: the transshipment problem and the shortest path problem. Short introduction to the modeling power of discrete optimization, with reference to classical problems. Introduction to the branch and bound algorithm, and the concept of cuts.

At a glance

  • Institution: EPFLx
  • Subject: Math
  • Level: Intermediate
  • Prerequisites:

    The course assumes that you are familiar with linear optimization. We advise you to follow the companion course on that topic if it is not the case.

    The knowledge of the programming language Python is an asset to learn the details of the algorithms. However, it is possible to follow the course without programming at all.

  • Language: English

What you'll learn

Skip What you'll learn

The course is structured into 5 sections.

  • Networks: you will be introduced to the mathematical formalism of graphs and networks.
  • Transhipment: you will learn about the transhipment problem (also called "minimum cost flow problem"), its properties, and some special instances.
  • Shortest path: you will learn about algorithms to find the shortest path in a network.
  • Discrete optimization: you will learn how to specify a discrete optimization problem.
  • Exact methods for discrete optimization: you will be introduced to two algorithms to solve discrete optimization problems.

About the instructors