ARC Future Fellowships - Grant ID: FT170100231

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/FT170100231

Funding Status
Active

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Funded Activity Summary

Regularisation methods of inverse problems: theory and computation. This project aims to investigate regularisation methods for inverse problems which are ill-posed in the sense that their solutions depend discontinuously on the data. When only noisy data is available, regularisation methods define stable approximate solutions by replacing the original inverse problem with a family of well-posed neighbouring problems monitored by a so-called regularisation parameter. The project expects to develop purely data-driven rules to choose the regularisation parameter and show how they work in theory, and in practice. It will also develop convex framework, acceleration strategies as well as preconditioning and splitting ideas to design efficient regularisation solvers.

Funded Activity Details

Start Date: 05-07-2017

End Date: 04-07-2023

Funding Scheme: ARC Future Fellowships

Funding Amount: $800,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Numerical Analysis | Optimisation | Applied Mathematics | Approximation Theory and Asymptotic Methods

ANZSRC Socio-Economic Objective (SEO)

Expanding Knowledge in the Mathematical Sciences |

Other Keywords

Applied Mathematics | Approximation Theory and Asymptotic Methods | Expanding Knowledge in the Mathematical Sciences | Numerical Analysis | Optimisation

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