Speaker: Prof. Dr. Dirk Pflüger (Universität Stuttgart)
In our group, we have successfully used and improved adaptive sparse grids for a range of higher-dimensional applications.
Speaker: Tobias Neckel (Technical University of Munich)
In the field of scientific computing, random effects become increasingly important to allow for an accurate modelling of realistic effects.
Speaker: Mr Julian Valentin (University of Stuttgart)
When working with high-dimensional problems, one has to deal with the "curse of dimensionality": The complexity of a problem grows exponentially with the nu
Speaker: Dr John Jakeman (Sandia National Laboratories, Albuquerque)
This talk will present an overview of the challenges that arise when designing advanced aircraft nozzles in the presence of uncertainty.
Speaker: Dr David Ham (Faculty of Natural Sciences, Department of Mathematics, Imperial College, London)
The simulation of physical systems by numerically computing approximate solutions to partial differential equations is a core tool of modern science, from e
Speaker: Dr Jouke de Baar (MSI, ANU)
Given a numerical simulation, the objective of parameter estimation is to provide a joint posterior probability distribution for an uncertain input paramete
Speaker: Ms Chenni Oehmigara (MSI, ANU)
On March 11, 2011, a magnitude 9 earthquake struck 70km off the coast of Japan, triggering a savage tsunami that devastated towns and cities along the Pacif
Speaker: Dr Linda Stals (ANU)
The use of adaptive refinement techniques in combination with finite element methods is well established.
Speaker: Dr Christopher Zoppou (Australian National University)
Rapidly-varying free-surface flows are characterized by large surface gradients.
Speaker: Jouke de Baar (MSI, ANU)
In the late 18th century, Thomas Bayes and Pierre-Simone Laplace developed Bayes' theorem, or the inverse law of probabilities.