Optimisation is about finding the "best" way to do a task, subject to any restrictions. Research in optimisation includes model development, analysis, numerical techniques and applications.

Research Interests

• Nonlinear programming
• Nonsmooth analysis and optimisation
• Global optimisation
• Applied nonlinear functional analysis
• Semidefinite programming
• Optimal control for cancer chemotherapy
• Numerical methods for nonsmooth problems
• Integer programming
• Stochastic programming
• Robust optimisation
• Application of optimisation techniques to:
Approximation; biology; finance; engineering; statistics; data mining; open pit mining; minimise aircraft delays; efficiently recover disrupted airline schedules; schedule single track rail freight; scheduling port operations.

Group Members

• Gary Froyland
• V. Jeyakumar
• Guoyin Li
• John Murray
• Rob Womersley

Relevant Courses

• MATH3161 Optimisation Methods
• MATH3041 Mathematical Modelling for Real World Systems

Links

• Mathematical Optimization Society
• MIPLIB - Mixed Integer Problem Library
• NEOS Server for Optimization
• Optimization Online
• Optimization Center - Northwestern University, USA

Related Groups

• Computational Mathematics
• Biomathematics