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X-WR-CALNAME:Claremont Center for the Mathematical Sciences
X-ORIGINAL-URL:https://colleges.claremont.edu/ccms
X-WR-CALDESC:Events for Claremont Center for the Mathematical Sciences
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DTSTART;TZID=America/Los_Angeles:20200122T161500
DTEND;TZID=America/Los_Angeles:20200122T171500
DTSTAMP:20260517T214830
CREATED:20200114T162847Z
LAST-MODIFIED:20200114T164947Z
UID:1756-1579709700-1579713300@colleges.claremont.edu
SUMMARY:CCMS Field Committee Meeting
DESCRIPTION:The Field Committee Meeting is our chance to socialize with our colleagues and coordinate our course offerings for the coming academic year (2020-2021).\n\nPlease come to discuss course offerings and other synergistic items.\n\nRefreshments starting at 3:15\, meeting at 4:15.
URL:https://colleges.claremont.edu/ccms/event/1756/
LOCATION:Shanahan B460\, Harvey Mudd College\, 301 Platt Blvd.\, Claremont\, CA\, 91711\, United States
CATEGORIES:Colloquium,Special Event
ORGANIZER;CN="Andrew Bernoff":MAILTO:ajb@hmc.edu
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DTSTART;TZID=America/Los_Angeles:20200129T161500
DTEND;TZID=America/Los_Angeles:20200129T171500
DTSTAMP:20260517T214830
CREATED:20190830T173951Z
LAST-MODIFIED:20200124T210246Z
UID:1432-1580314500-1580318100@colleges.claremont.edu
SUMMARY:A Tauberian theorem and some of its applications
DESCRIPTION:In general terms\, a Tauberian theorem deals with the relationship between the properties of one transform of a measure with those of another transform. We will introduce the notion of a Tauberian theorm\, and present our own recent theorem in this direction. Our theorem provides a uniform theory for the construction of certain localized kernels in a very general context. These in turn play a fundamental role in many different applications in numerical analysis\, signal processing\, and machine learning. We will discuss a few applications\, for example\, the construction of a theory inspired neural network for the solution of Burgers equation\, inversion of Laplace transform of point masses\, and an alternative theory for function approximation in the setting of diffusion geometry in machine learning without the need for any eigen-decomposition of a large matrix.
URL:https://colleges.claremont.edu/ccms/event/hrushikesh-mhaskar/
LOCATION:Freeberg Forum\, LC 62\, Kravis Center\, CMC
CATEGORIES:Colloquium
ORGANIZER;CN="Blerta Shtylla":MAILTO:shtyllab@pomona.edu
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