Sparse grid approximations and fitting using generalised combination techniques. Sparse grid techniques provide an effective tool to deal with the
computational curse of dimensionality which is a constant challenge in
modelling complex data. The proposed research is aimed at the
development and analysis of algorithms for data fitting with sparse
grids using variants of the combination technique. The outcome of the
research is a theory which will provide insights in the applicability,
limit ....Sparse grid approximations and fitting using generalised combination techniques. Sparse grid techniques provide an effective tool to deal with the
computational curse of dimensionality which is a constant challenge in
modelling complex data. The proposed research is aimed at the
development and analysis of algorithms for data fitting with sparse
grids using variants of the combination technique. The outcome of the
research is a theory which will provide insights in the applicability,
limitations and the convergence properties of the proposed
algorithms. The outcomes will be widely applicable in modelling of
large scale and complex data as is encountered in areas of
bioinformatics, physics and experimental studies of complex systems.
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Solving inverse problems with Iterative regularisation and convex penalties. This project aims to develop and investigate new computational procedures for the solution of inverse problems which do not have the usual smoothness properties (or source conditions) required for the traditional regularisation methods. Examples of such inverse problems are very common and include image restoration, photo-acoustic tomography and spectroscopy. It is anticipated that this project will substantially extend ....Solving inverse problems with Iterative regularisation and convex penalties. This project aims to develop and investigate new computational procedures for the solution of inverse problems which do not have the usual smoothness properties (or source conditions) required for the traditional regularisation methods. Examples of such inverse problems are very common and include image restoration, photo-acoustic tomography and spectroscopy. It is anticipated that this project will substantially extend the toolbox of methods for such problems utilising ideas from Banach spaces, convex analysis, parallel computing and optimisation. This project is expected to make a substantial contribution to a better understanding of inverse problems and their solution procedures.Read moreRead less
Theory and applications of three dimensional fractal transformations. The purpose of this project is to develop the theory and algorithms for a new class of continuous mappings between fractals. Outcomes include a better understanding of fractals, substantially better algorithms for fractal compression and many new applications.
Algebraic K-theory and groups. This project will study the K-theory of division algebras, their generalisation to Azumaya algebras and the nonstable K-theory of rings. Expected outcomes would enhance our understanding on the structure of these K groups.
The goal is to settle some of the most significant conjectures in the subject: Bak's solvability of nonstable K groups over rings and the Merkurjev-Suslin conjectures on reduced K theory of division rings.
The study of these problems contribu ....Algebraic K-theory and groups. This project will study the K-theory of division algebras, their generalisation to Azumaya algebras and the nonstable K-theory of rings. Expected outcomes would enhance our understanding on the structure of these K groups.
The goal is to settle some of the most significant conjectures in the subject: Bak's solvability of nonstable K groups over rings and the Merkurjev-Suslin conjectures on reduced K theory of division rings.
The study of these problems contributes to and draws from such topics as group theory, commutative ring theory, algebraic number theory and algebraic geometry.
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Discovery Early Career Researcher Award - Grant ID: DE120102369
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Higher representation theory. Representation theory lies at the very centre of mathematics, with applications in all areas of mathematics and mathematical physics; at some level it is about observing the symmetries of a system and exploiting them, and this has been invaluable. This project will explore the forefront of the modern, higher version of this research field.
Categorical symmetries in representation theory. This project aims to develop categorical symmetries of central objects in mathematics such as braid groups, the Hilbert scheme of points, and the Virasoro algebra. The concept of symmetry is an important organising principle in science. Representation theory is the field of mathematics concerned with studying symmetries. The problems proposed have connections to many different areas including algebra, geometry, topology, and mathematical physics. ....Categorical symmetries in representation theory. This project aims to develop categorical symmetries of central objects in mathematics such as braid groups, the Hilbert scheme of points, and the Virasoro algebra. The concept of symmetry is an important organising principle in science. Representation theory is the field of mathematics concerned with studying symmetries. The problems proposed have connections to many different areas including algebra, geometry, topology, and mathematical physics. This project expects to advance pure mathematics and provide potential benefit in many related fields.Read moreRead less
Low dimensional categories. This project plans to study fundamental examples of higher categories in dimensions 2, 3, and 4, with the goal of understanding their essential features and building appropriate tools and theoretical frameworks for working with them. This work would have applications in several areas of mathematics including representation theory, low dimensional topology and topological quantum computing. Higher categories let us study the possible shapes of space (dimensions 2, 3, a ....Low dimensional categories. This project plans to study fundamental examples of higher categories in dimensions 2, 3, and 4, with the goal of understanding their essential features and building appropriate tools and theoretical frameworks for working with them. This work would have applications in several areas of mathematics including representation theory, low dimensional topology and topological quantum computing. Higher categories let us study the possible shapes of space (dimensions 2, 3, and 4, are the relevant ones for the world we live in), and also the dimensions in which we find the most interesting examples. The project plans to investigate particular examples related to exceptional Lie algebras, fusion categories, and categorical link invariants.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE140101825
Funder
Australian Research Council
Funding Amount
$334,710.00
Summary
The Algebraic Structure of Logarithmic Conformal Field Theory. Conformal field theory has given rise to a myriad of deep connections between physics and mathematics. Recently a generalisation of conformal field theory, called logarithmic conformal field theory, has garnered a lot of interest. These theories are necessary for understanding condensed matter systems with non-local observables such as percolation or polymers and for string theory on super group manifolds. This project will explore t ....The Algebraic Structure of Logarithmic Conformal Field Theory. Conformal field theory has given rise to a myriad of deep connections between physics and mathematics. Recently a generalisation of conformal field theory, called logarithmic conformal field theory, has garnered a lot of interest. These theories are necessary for understanding condensed matter systems with non-local observables such as percolation or polymers and for string theory on super group manifolds. This project will explore the algebraic structure of logarithmic conformal field theory. Expected outcomes include an improved understanding of how to systematically construct and solve logarithmic theories and will further consolidate Australia's reputation as an international centre for logarithmic conformal field theory.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE130101601
Funder
Australian Research Council
Funding Amount
$337,940.00
Summary
Wellbeing, preferences, and basic goods. Since individual choice and public policy aim at promoting wellbeing, it is crucial to understand what wellbeing is. This project develops an account of wellbeing that is grounded in individual preferences, but acknowledges that people sometimes desire what is harmful to them.
Optimism, Pessimism and Confidence - Their economic impacts. When modelling uncertainty, economists typically assume people utilise well-behaved and precise probabilities. As most people have only the vaguest conception of chances of terrorist acts, of contracting SARS, or of extreme market volatility, this limits usefulness of the standard model in predicting or guiding choice. This project aims to incorporate a richer set of attitudes about uncertainty into economic theory, including impreci ....Optimism, Pessimism and Confidence - Their economic impacts. When modelling uncertainty, economists typically assume people utilise well-behaved and precise probabilities. As most people have only the vaguest conception of chances of terrorist acts, of contracting SARS, or of extreme market volatility, this limits usefulness of the standard model in predicting or guiding choice. This project aims to incorporate a richer set of attitudes about uncertainty into economic theory, including imprecise estimates of chance, optimistic (or pessimistic) bias, and relative confidence. This will enable more rigorous analysis of topics like irrational exuberance (panic), consumer stampedes, and (in)tolerance of risk, thereby improving the measurement of benefits and costs of related actions or policies.Read moreRead less