Algorithms and applications of high-dimensional approximation
Two-day meeting
Programme
This workshop was organised by
Sergey Dolgov.
Thursday, 22nd November
| Time |
Speaker |
Title |
| 8:30 - 9:00 |
Arrival |
|
| 9:00 - 9:50 |
Tiangang Cui (Monash University): |
Optimization-based Sampling Approaches for Hierarchical Bayesian Inference |
| 9:50 - 10:10 |
Coffee break |
|
| |
|
|
| 10:10 - 11:00 |
Dante Kalise (Imperial College London): |
Breaking the curse of dimensionality in dynamic programming: (not so) old and new |
| 11:00 - 11:50 |
John Pearson (University of Edinburgh): |
PDE-Constrained Optimization in Scientific Processes: Models and Algorithms for Huge-Scale Systems |
| 11:50 - 13:30 |
Lunch |
|
| 13:30 - 17:00 |
Free time/discussion (in 4 West 4.5 until 15:00) |
|
Friday, 23d November
| Time |
Speaker |
Title |
| 9:00 - 9:50 |
Dirk Nuyens (KU Leuven): |
Quasi-Monte Carlo points for high-dimensional integration and approximation |
| 9:50 - 10:10 |
Coffee break |
|
| 10:10 - 11:00 |
Dmitry Savostyanov (University of Brighton): |
Parallel cross interpolation for accurate evaluation of high–dimensional integrals |
| 11:00 - 11:50 |
Sebastian Krämer (RWTH Aachen): |
Approximate interpolation of high dimensional, scattered data in tree tensor formats |
Workshop website