Necessary and sufficient conditions for global minimum in multi-extremal global continuous optimization
The goal of this project was to find verifiable conditions for global minimum for a broad classes of optimization problem. A new methodology, abstract convexity, developed over the last decade, was extended and applied to solving these problems.
Research Group: Mathematical Analysis and Optimization Research Group (MAORG)
Project Leader: Professor AM Rubinov
CIAO members involved in project:
Australian Research Associates:
Value of Project: $295,000
Grant/Project Number: ARC Discovery Grant Project No. DP0450151
Commencement date: 2004
Completion date: 2006
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