Discovery Early Career Researcher Award - Grant ID: DE240100006

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DE240100006

Funding Status
Active

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Funded Activity Summary

Robust Derivative-Free Algorithms for Complex Optimisation Problems. Mathematical optimisation gives a systematic way for optimal decision-making. This project aims to develop new mathematical tools for complex optimisation problems where limited problem information is available. It will generate new foundational theories for alternative optimisation tools, introducing substantial new capability and rigour to the discipline. The project will create significant new mathematical optimisation techniques and create world-leading and publicly available software. These new techniques and software may ultimately be able to solve some of the most complex optimisation problems in research and industry, such as improving long-term climate predictions and designing 3D-printed medical implants.

Funded Activity Details

Start Date: 01-03-2024

End Date: 28-02-2027

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $444,847.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Numerical computation and mathematical software | Optimisation | Numerical and computational mathematics

ANZSRC Socio-Economic Objective (SEO)

Other Keywords

Application Software Packages | Expanding Knowledge In the Mathematical Sciences | Numerical and computational mathematics | Numerical computation and mathematical software | Optimisation

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