Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP140100985
Funding Status
Closed
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Funded Activity Summary
Decomposition and Duality: New Approaches to Integer and Stochastic Integer Programming. Because of their rich modelling capabilities, integer programs are widely used in industry for decision making and planning. However their solution algorithms do not have the maturity of their cousins in convex optimisation, where the theory of strong duality is ubiquitous. Efficient methods for convex optimisation under uncertainty do not apply to the integer case, which is highly non-convex. Furthermore, integer models usually assume the data is known with certainty, which is often not the case in the real world. This project will develop new theory and algorithms to enhance the analysis of integer models, including those that incorporating uncertainty, while also enabling the use of parallel computing paradigms.Funded Activity Details
Start Date: 03-2014
End Date: 12-2019
Funding Scheme: Discovery Projects
Funding Amount: $468,608.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Optimisation | Applied Mathematics | Operations Research | Numerical Computation |
ANZSRC Socio-Economic Objective (SEO)
Expanding Knowledge in the Information and Computing Sciences | Expanding Knowledge in the Mathematical Sciences | Technological and Organisational Innovation
