Research project: Computational Optimisation
Computational optimisation, also known as numerical optimisation, has the wide and growing use in science, engineering, economics, and industry. Important topics include continuous optimisation, global optimisation, integer programming, matrix optimisation, multi-objective optimisation, network optimisation, nonsmooth optimisation, and stochastic optimisation. We have a number of PhD students working in this field on topics ranging from modelling and optimising multi-hop wireless telephone networks to the use of optimisation techniques in mathematical finance. Much of the work has been supported by various outside organisations and carried out with their collaboration. Recent examples include the European Space Agency, ThyssenKrupp, Alcatel-Lucent, Bell Labs, Qualcomm, Brussels Capital-Region, EPSRC etc. Within Mathematics, computational optimisation is researched by Maria Battarra, Joerg Fliege, Tri-Dung Nguyen, and Hou-Duo Qi.