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The High-Dimensional Approximation (HDA) Workshop is a series of biennial international meetings covering current research on all numerical aspects of high-dimensional problems.
This seventh workshop (HDA2017) will be held at UNSW, with participants again welcomed from all around the world.
Participation is open to all interested in high-dimensional computational mathematics and science. We hope to take this opportunity to engage the HDA global community with other computational mathematics groups in Australia.
Please see the HDA Workshop website for all details, including registration: http://www.hda2017.unsw.edu.au/
The scope of the seventh workshop ranges from high-dimensional approximation theory over computational methods to engineering and scientific applications.
Topics include, but are not limited to:
- Sparse grid methods
- Quasi-Monte Carlo methods
- Tensor decompositions
- Polynomial chaos expansions
- Sparse approximations
- Reduced basis methods
- Multi-level methods
- Bayesian inversion
- Uncertainty quantification
- Manifold learning
- Nonlinear dimensionality reduction