Discovery Projects - Grant ID: DP0450151

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DP0450151

Funding Status
Closed

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Funded Activity Summary

Necessary and sufficient conditions for global minimum in multi-extremal global continuous optimization. A basic understanding of the mechanisms for finding local "best" (optimal) solutions has been achieved through optimization techniques. However, solving global optimization problems, where we may have many local optimal solutions which are not the "absolutely best" (global), is vital for many applications in industry & science, and is intrinsically difficult. The lack of verifiable conditions for a global optimum is a serious limitation. This project will develop verifiable such global optimality conditions for many classes of these problems. A new methodology, functional abstract convexity, developed by CIs and has shown promising results, will be extended and applied for solving these problems.

Funded Activity Details

Start Date: 31-01-2004

End Date: 31-12-2007

Funding Scheme: Discovery Projects

Funding Amount: $282,474.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Numerical and Computational Mathematics | Optimisation |

ANZSRC Socio-Economic Objective (SEO)

Mathematical sciences

Other Keywords

Mathematical sciences | Numerical and Computational Mathematics | Optimisation

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