CTU Events

PIS - Prof. Jan Mandel - Data assimilation in high and infinite dimension

28 May 2015   16:00

LECTURE ANNOTATION

Data assimilation combines the state of a model with incoming data by solving an inverse problem to balance the uncertainty between them. Data assimilation is used in applications from computer vision and remote sensing to weather forecasting. Physical models are formulated as partial differential equations, which have solutions in spaces of functions.

Their discretization leads to high-dimensional problems, and uncertainty can be modeled by stochastic ensembles of simulations. The lecture will discuss the principles of data assimilation with infinitely dimensional state and data, and show the convergence of the ensemble Kalman filter with increasing ensemble size independently of the state and data dimensions, including infinite dimension.

LECTURER

Jan Mandel is Professor and Chair at the Department of Mathematical and Statistical Sciences, University of Colorado Denver. His early work was in areas including discrete optimization, transonic flows, variational inequalities, and aggregation in input-output economic models, which led him to multigrid and domain decomposition methods for partial differential equations. His current interests include design and mathematical analysis of data assimilation algorithms, modeling of wildfires, remote sensing, and assimilation of satellite data. His research has been funded by the National Science Foundation, NASA, and Czech Science Foundation. He published over 150 papers in journals, books, and proceedings.

ABOUT THE PRAGUE COMPUTER SCIENCE SEMINAR

The seminar will take place on the 4th Thursday of each month at 4:00pm (except June, July, August and December) alternately in the buildings of Faculty of Electrical Engineering, Czech Technical University, Karlovo nám. 13, Praha 2 and Faculty of Mathematics and Physics, Charles University, Malostranské nám. 25, Praha 1.

Its program will consist of a one-hour lecture followed by a discussion. The lecture should be based on an (internationally) exceptional or remarkable achievement of the lecturer, presented in a way which is comprehensible and interesting to a broad computer science community. The lectures will be in English.

The seminar framework was laid out by the preparatory committee consisting of Michal Chytil (Czech Academy of Sciences, Computer Science Institute), Pavel Kordík (Czech Tech. Univ., Faculty of Information Technologies), Jan Kybic (Czech Tech. Univ., Faculty of Electrical Engineering), Michal Pěchouček Czech Tech. Univ., Faculty of Electrical Engineering), Jiří Sgall (Charles University, Faculty of Mathematics and Physics), Vojtěch Svátek (University of Economics, Faculty of Informatics and Statistics), Michal Šorel (Czech Academy of Sciences,Institute of Information Theory and Automation), and Filip Železný (Czech Tech. Univ., Faculty of Electrical Engineering)

The idea to organize this seminar emerged in discussions of the representatives of several research institutes on how to avoid the undesired fragmentation of the Czech computer science community.

Place

Posluchárna S5, MFF UK Malostranské nám. 25, Praha 1

Organizer

Přípravný výbor PIS

Contact person

Přípravný výbor PIS, info@praguecomputerscience.cz, 224 35 7667

More information

http://www.praguecomputerscience.cz/

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