University of Bath

Algorithms and applications of high dimensional approximation

The aim of this workshop is to bring together researchers working on different methods for high-dimensional problems.

22 Nov 20188.30am
to
23 Nov 201811.50am
Free

Multivariate functions arise naturally in statistics, uncertainty quantification, optimal control, quantum mechanics and other applications. There exist different ways of working with high-dimensional functions and data: sampling, polynomial approximations, separation of variables. Depending on assumptions, one or another of these techniques might be preferable. Even more promising might be a combination of those.

The workshop will include several talks on high-dimensional algorithms and applications, as well as opportunity to discuss further development of this area.

Programme

Thursday, 22nd November

  • 8:30 - 9:00 Arrival
  • 9:00 - 9:50 Tiangang Cui (Monash University): TBA
  • 9:50 - 10:10 Coffee break
  • 10:10 - 11:00 Dante Kalise (Imperial College London): TBA
  • 11:00 - 11:50 John Pearson (University of Edinburgh): TBA
  • 11:50 - 13:00 Lunch
  • 13:00 - 17:00 Free time/discussion
  • 19:00 Dinner

Friday 23rd November

  • 9:00 - 9:50 Dirk Nuyens (KU Leuven): TBA
  • 9:50 - 10:10 Coffee break
  • 10:10 - 11:00 Dmitry Savostyanov (University of Brighton): TBA
  • 11:00 - 11:50 Sebastian Krämer (RWTH Aachen): TBA
  • 11:50 Close

All talks will be in Wolfson Lecture Theatre (room 1.7) of the 4 West building. Coffee and lunch will be served on the first floor of 4 West, outside of the Wolfson Lecture Theatre.

We gratefully acknowledge support from EPSRC through a Postdoctoral Fellowship EP/M019004/1.