Discovery Early Career Researcher Award - Grant ID: DE150100240

Funding Activity

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Funded Activity Summary

Geometry and Conditioning in Structured Conic Problems. Conic programming allows one to model and solve large industrial problems via modern optimisation methods, such as interior-point algorithms. These methods are efficient and reliable in solving a vast number of problems, however, they fail on a relatively small but significant set of ill-posed instances, thus affecting the overall reliability of the technique. The reason for such behaviour is profound and constitutes one of the major unsolved problems in real complexity: there is no known algorithm that solves conic problems with real data in polynomial time. The project aims to develop a deep understanding of the geometry of conic problems, aiming for the resolution of this fundamental problem in computational theory.

Funded Activity Details

Start Date: 15-06-2015

End Date: 15-06-2019

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $315,000.00

Funder: Australian Research Council