Discovery Early Career Researcher Award - Grant ID: DE170100222

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DE170100222

Funding Status
Closed

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Funded Activity Summary

Optimal adaptivity for uncertainty quantification. This project aims to use an adaptive mesh refinement algorithm to improve the ratio of approximation accuracy versus computational time. Partial differential equations with random coefficients are crucial in simulating groundwater flow, structural stability and composite materials, but their numerical approximation is difficult and time consuming. Advances in adaptive mesh refinement theory allow full analysis and mathematical understanding of the convergence behaviour of the proposed algorithm. The project intends to develop a theory of adaptive algorithms and freely available software for their reliable (and mathematically underpinned) simulation which could solve problems beyond the capabilities of even the most powerful computers.

Funded Activity Details

Start Date: 01-01-2017

End Date: 24-11-2017

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $313,964.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Numerical Solution of Differential and Integral Equations | Numerical Analysis | Numerical and Computational Mathematics | Approximation Theory and Asymptotic Methods

ANZSRC Socio-Economic Objective (SEO)

Expanding Knowledge in the Mathematical Sciences |

Other Keywords

Approximation Theory and Asymptotic Methods | Expanding Knowledge in the Mathematical Sciences | Numerical Analysis | Numerical Solution of Differential and Integral Equations | Numerical and Computational Mathematics

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