BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Optimal sampling for approximation on general domains - Albert Coh
 en (Université Pierre et Marie Curie Paris)
DTSTART:20190617T123000Z
DTEND:20190617T132000Z
UID:TALK126073@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:<span>We consider the approximation of an arbirary function in
  any dimension from point samples. Approximants are picked from given or a
 daptively chosen&nbsp\;finite dimensional spaces. Various recent works rev
 eal that optimal approximations&nbsp\;can be constructed at minimal sampli
 ng budget by least-squares methods with&nbsp\;particular sampling measures
 . In this talk\, we discuss strategies to construct these measures and the
 ir samples in the adaptive context and in general non-tensor-product multi
 variate domains.<br> <br> </span>
LOCATION:Seminar Room 1\, Newton Institute
END:VEVENT
END:VCALENDAR