Paul Zegeling (Amsterdam)" /> Detecting patterns with efficient adaptive moving grids - University of Surrey - Guildford

Detecting patterns with efficient adaptive moving grids

 
When?
Friday 28 January 2011, 16:00 to 17:00
Where?
22AA04
Open to:
Students, Staff
Speaker:
Paul Zegeling (Amsterdam)

Abstract: Complicated pattern formation can be found in many PDE models. Sometimes one can analyze the patterns, for example, the existence and stability of travelling waves, emerging spots and evolving spiral structures with dynamical systems theory, asymptotic methods, singular perturbations and other tools from applied analysis. Most of the time, however, one is restricted to numerical techniques to approximate, predict and explore the arising complex structures. In some cases, applied and numerical mathematics even go hand in hand, thereby stimulating each other in giving new insights in the model.  

In this talk I will describe a sophisticated adaptive grid method with an "adaptive" monitor function that can automatically detect and follow steep and moving solutions of the PDEs. The adaptivity of the numerical grid is further controlled by keeping the non-uniform grid smooth enough to prevent both oscillations in the time-direction and to avoid big gaps in the spatial grid distribution. To show the effectiveness of the approach, several PDE models from different application areas are presented. We will discuss fingering patterns in two-phase (oil-water) models from hydrology, splitting-pulse behaviour in reaction-diffusion systems, and so-called Liesegang patterns in a fourth-order Cahn-Hilliard PDE coupled to a system of chemical reaction-diffusion equations.

Date:
Friday 28 January 2011
Time:

16:00 to 17:00


Where?
22AA04
Open to:
Students, Staff
Speaker:
Paul Zegeling (Amsterdam)

Page Owner: kg0013
Page Created: Friday 17 September 2010 14:28:06 by kg0013
Last Modified: Wednesday 13 February 2013 17:12:45 by pg0016
Expiry Date: Saturday 17 December 2011 14:25:46
Assembly date: Tue Mar 26 17:54:37 GMT 2013
Content ID: 37410
Revision: 4
Community: 1226