Discovery Projects - Grant ID: DP190100580

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DP190100580

Funding Status
Active

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Funded Activity Summary

Large scale nonsmooth, nonconvex optimisation. This project aims to develop, analyse, test and apply (sub) gradient-based methods for solving large scale nonsmooth, nonconvex optimisation problems. Large scale problems with complex nonconvex objective and/or constraint functions are among the most difficult in optimisation. This project will generate new knowledge in numerical optimisation and machine learning. The use of structures and sparsity of large scale problems will lead to the development of better models, and more accurate and robust methods. The expected outcomes of the project are ready-to-implement and apply numerical methods for solving large-scale, nonsmooth, nonconvex optimisation problems, as well as problems in machine learning and regression analysis.

Funded Activity Details

Start Date: 01-01-2019

End Date: 31-12-2023

Funding Scheme: Discovery Projects

Funding Amount: $330,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Optimisation | Numerical and Computational Mathematics | Operations Research |

ANZSRC Socio-Economic Objective (SEO)

Expanding Knowledge in the Information and Computing Sciences | Expanding Knowledge in the Mathematical Sciences

Other Keywords

Expanding Knowledge in the Information and Computing Sciences | Expanding Knowledge in the Mathematical Sciences | Numerical and Computational Mathematics | Operations Research | Optimisation

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