University of Cambridge > > Isaac Newton Institute Seminar Series > How good is random information compared to optimal information?

How good is random information compared to optimal information?

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact INI IT.

ASCW03 - Approximation, sampling, and compression in high dimensional problems

We study approximation and integration problems and compare the quality of optimal information with the quality of random information. For some problems random information is almost optimal and for other problems random information is much worse than optimal information. We give a survey about known and new results. Parts of the talk are based on joint work with D. Krieg, E. Novak, J. Prochno and M. Ullrich.

This talk is part of the Isaac Newton Institute Seminar Series series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.


© 2006-2024, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity