Optimization and Operational Research
The main focus of the group is on mathematical and computing aspects of optimization. It has world-leading expertise in the solution of large sparse linear and quadratic problems by two of the core technologies in optimization - the simplex method and interior point methods. The group also has interests in nonlinear and global optimization, discrete optimization, decomposition methods, parallel computing, industrial applications of optimization, and stochastic optimization. There is additional expertise in simulation and stochastic areas of operational research, and in the mathematics of energy systems.
Seminar series, news feed and events in the School of Mathematics organised by the Optimization and Operational Research group
Selected publications by members of the Optimization and Operational Research group
The Optimization and Operational Research PhD programme and areas with opportunity for research
The socio-economic impact of research is of ever increasing importance, and examples of recent and current impact successes in Optimization and OR are listed here
The Operational Research and Optimization group undertakes consultancy work in several areas
Awards and recognition for members of the Optimization and Operational Research group
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