The University of Queensland

Random discrete structures: approximations and applications (ARC Discovery Project administered by The University of Melbourne) (2015–2018)

Abstract:

The behaviour of many real world systems can be modelled by random discrete structures evolving over time. For example, the sizes of populations of frogs in some close patches of forests can be modelled as interacting random processes. The aim of the project is to investigate large discrete random structures that arise from real world application in areas such as biology, complex networks and insurance. The project is at the interface of mathematics and ¿big data¿ applications and so the work of the project provides theoretical and heuristic underpinnings useful in the algorithms and techniques of practitioners. Understanding the applications in the project requires new, broadly applicable methods and developing such is a complementary aim.

Grant type:

University of Melbourne

Researchers:

• 

  Emeritus Professor Philip Pollett

  Emeritus Professor
  

  School of Mathematics and Physics

  Faculty of Science

Funded by:

The University of Melbourne