Full Seminar Archive

Our regular seminar program covers a broad range of topics from applied mathematics, pure mathematics and statistics. All staff and students are welcome. This page has a complete list of past seminars and a list restricted by year can be accessed via the left-hand menu.

Tiangang Cui - Monash University
Characterising intractable high-dimensional random variables is one of the fundamental challenges in stochastic computation. It has broad applications in statistical physics, machine learning,...

William McLean - UNSW, Sydney
Although Mittag-Leffler introduced his namesake function over 115 years ago, it never played a role in applications until the 1990s and so was never included in the standard numerical libraries for...

Santiago Badia - Monash University
We present Gridap, a novel computational framework for the grid-based approximation of PDEs in the Julia programming language. The main motivation behind this library is to provide an easy-to-use...

Euan Spence - University of Bath, UK
Boundary integral equations were introduced in the 19th century to study Laplace's equation. Today they are used extensively in applied maths and industry to compute approximations of the solutions...

Daniel Potts - Technische Universität Chemnitz, Germany
In this talk, we present algorithms for the approximation of multivariate functions. We start with the approximation by trigonometric polynomials based on sampling of multivariate functions on rank-1...

Mahadevan Ganesh - Colorado School of Mines, USA
A natural medium for  wave propagation comprises a  coupled bounded heterogeneous region  and an  unbounded homogeneous free-space. Frequency-domain wave propagation models in the medium, such as the...

Christian Lubich - Universität Tübingen, Tübingen, Germany
Geometric aspects play an important role in the construction and analysis of structure-preserving numerical methods for a wide variety of ordinary and partial differential equations. Here we review...

Sergey Dolgov - University of Bath, UK
Uncertainty quantification and inverse problems in many variables are pressingly needed tasks, yet high-dimensional functions are notoriously difficult to integrate in order to compute desired ...

James A. Nichols - Laboratoire Jacques-Louis Lions, UPMC, Sorbonnes Universités, Paris, France
Reduced (or surrogate) modelling replaces a high-resolution PDE model with some simple model that only loses some small and known accuracy. Reduced models are designed to allow for fast or closed-...

Prof Torsten Linß - FernUniversität in Hagen, Germany
In this lecture singularly perturbed linear reaction-diffusion problems in one and two dimensions are considered. These are elliptic equations that change character when the perturbation parameter...

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