11:00
High Performance Computational Mechanics in Marenostrum supercomputer
Abstract
Computational Mechanics (CM) has become
a scientific discipline in itself, being High Perfomance Computational
Mechanics (HPCM) a key sub-discipline. The effort for the most efficient use of
distributed memory machines provides a different perspective to CM scientists
relative to a wide range of topics, from the very physics of the problem to
solve to the numerical method used. Marenostrum supercomputer is the largest
facility in Europe and the 5th in the world (top500.org - Spring 2007). This
talk describes the research lines in the CASE Dpt. of the BSC applied to
Aerospace, Bio-mechanics, Geophysics or Environment, through the development of
Alya, the in-house HPCM code for complex coupled problems capable of running
efficiently in large distributed memory facilities.
Phase field modelling and simulation of some interface problems
Abstract
Professor Qiang Du will go over some work on modelling interface/microstructures with curvature dependent energies and also the effect of elasticity on critical nuclei morphology.
13:15
Probabilistic Quantification of Financial Uncertainty
Abstract
We discuss recent advances in the probabilistic analysis of financial risk and uncertainty, including risk measures and their dynamics, robust portfolio choice, and some asymptotic results involving large deviations
09:00
10:00
Random Dynamical Systems for Biological Time Series Analysis
Abstract
Many biological time series appear nonlinear or chaotic, and from biomechanical principles we can explain these empirical observations. For this reason, methods from nonlinear time series analysis have become important tools to characterise these systems. Nonetheless, a very large proportion of these signals appear to contain significant noise. This randomness cannot be explained within the assumptions of pure deterministic nonlinearity, and, as such, is often treated as a nuisance to be ignored or otherwise mitigated. However, recent work points to this noise component containing valuable information. Random dynamical systems offer a unified framework within which to understand the interplay between deterministic and stochastic dynamical sources. This talk will discuss recent attempts to exploit this synthesis of stochastic and deterministic dynamics in biological signals. It will include a case study from speech science.
10:00