A conference on numerical analysis and scientific computing
for graduate students and postdocs in the Mid-Atlantic region.
This one-day meeting will start at 10am to allow same-day travel.
It will be held in Room 617 Wachman Hall, Temple University, 1805 North Broad Street, just north of Montgomery Avenue.
It is an opportunity for graduate students and postdocs to present their research, and to meet other researchers.
There will be contributed talks and a poster session.
There is no registration fee, and no support for travel. Lunch will be provided.
We ask every participant to please register in advance, even if they are not planning to give a talk.
Qiang Du, Columbia University
Learning Hidden Dynamics: From Practice to Numerical Analysis
Numerical integration of a given dynamic system can be viewed as a forward problem with the learning of hidden dynamics from available observations as an inverse problem. The latter appears in various settings such as model reductions of multiscale processes, and more recently, data-driven modeling via deep/machine learning. The solution of both forward and inverse problems forms the loop of informative and intelligent scientific computing. Some related issues, e.g., the identification of state variables and the selection of numerical methods, are discussed in this lecture. In particular, a question to be investigated is whether a good numerical integrator for discretizing prescribed dynamics is also good for discovering unknown dynamics in association with deep learning. The answer leads to new mathematical theory that enriches classical numerical analysis.
If you would like to participate (in any form), please register using the
online registration form.
The deadline for the submission of abstracts (talk or poster) is September 30, 2022.
Registration for "participation only" can be done until October 21, 2022.
Make your own arrangements. Please feel free to contact us for information on accommodation.
Email: naday -at- temple.edu