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DTSTAMP:20210204T193000Z
UID:1612275585605@events.msu.edu
CATEGORIES:Conferences / Seminars / Lectures
DTSTART:20210204T193000Z
DTEND:20210204T203000Z
SUMMARY:Math Seminar Series
DESCRIPTION:
Applied Mathematics\n
\n
Tino Ullrich , TU Chemnitz,
will be speaking.\n
\n
The presentation is
titled "A New Subsampling Technique for Random
Points and Optimal Least Squares Approximation
of High-Dimensional Functions."\n
\n
Contact
Olga Turanova (turanova@msu.edu) for more
information.\n
\n
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. \n\n
Price: free\n
Sponsor: Department of Mathematics\n
Sponsor's Homepage: https://www.math.msu.edu/\n
Contact name: Department of Mathematics\n
Contact phone: (517) 353-0844\n
for more info visit the web at:\n
https://www.math.msu.edu/Seminars/CalendarView.aspx?month-of=September2016\n
LOCATION:Online via Zoom
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