Thursday, February 4, 2021
2:30pm
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3:30pm
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Math Seminar Series
(Conferences / Seminars / Lectures)
Applied Mathematics
Tino Ullrich , TU Chemnitz, will be speaking.
The presentation is titled "A New Subsampling Technique for Random Points and Optimal Least Squares Approximation of High-Dimensional Functions."
Contact Olga Turanova (turanova@msu.edu) for more information.
We provide a new general upper bound for the minimal L2-worst-case recovery error in the framework of RKHS, where only n function samples are allowed. This quantity can be bounded in terms of the singular numbers of the compact embedding into the space of square integrable functions. It turns out that in many relevant situations this quantity is asymptotically only worse by square root of log(n) compared to the singular numbers. more information...
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(517) 353-0844
