The main focus of the research is on mathematical and computing aspects of optimization. The core technology in optimization is the solution of large sparse linear and quadratic problems. The Operational Research and Optimization research group has world class expertise in the two main solution methods for these: the simplex method and the interior point method. In addition we have interests in global optimization, decomposition methods, parallel computing, industrial applications of optimization, and stochastic optimization.

Items in this Collection

  • Parallel simplex benchmarking results 

    Huangfu, Qi; Hall, J.A.J.
    Data used to generate results in "Parallelizing the dual revised simplex method", a copy of which is attached.