# Seminar Archive - 2009

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

Prof. Gang Tian - Princeton
In this general talk, I will discuss how curvature flows can be applied to studying complex geometric problems. I will show interactions between singularity formation of curvature flows and...

Dr. Andrea Carbonaro - Genova
We will define local Hardy spaces of forms hpD that are adapted to the Hodge-Dirac operator D = d + d* on a complete Riemannian manifold M, which can have exponential volume growth. If Δ = D2 is the...

Edward Saff - Vanderbilt University
Consider an isolated charged sphere $S^d$ in the presence of an external field exerted by a point charge over the North Pole (or, more generally, a line charge on the polar axis). The model of...

Dr. David Rule - University of Edinburgh
I'll give a brief introduction to pseudo-differential operators and their usefulness in partial differential equations. This will then lead on to some recent work with Nick Michalowski and Wolfgang...

Dr Josef Dick - UNSW
The random numbers driving Markov chain Monte Carlo (MCMC) simulation are usually modeled as independent uniform U(0, 1) random variables. Tribble reports substantial improvements when those random...

Prof. Marius Mitrea - University of Missouri
I will review some of the historical developments in the area at the interface between Partial Differential Equations and Harmonic Analysis, with emphasis on the role played by boundary integral...

Ed Saff - Vanderbilt University
For a compact set A in Euclidean space we shall investigate the asymptotic behavior of optimal (and near optimal) N-point configurations that minimize the Riesz s-energy (corresponding to the...

Prof. Dorina Mitrea - Missouri
In this talk I will discuss mapping properties of the Dirichlet Green potential on the scale of Besov and Triebel-Lizorkin spaces when the underlying domain satisfies a uniform exterior ball...

Professor Chris Lloyd - Melbourne Business School
In this talk I will give an overview of the two main methods for second order inference in parametric discrete data models- the bootstrap and the modified likelihood root r*. For discrete models, the...

Paul Keeler - MASCOS Melbourne
Advancements in various technologies are enabling types of ad hoc networks known as sensor networks. These networks consist of sensor nodes, which collect, process, and relay data back to a main...