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X-WR-CALNAME;VALUE=TEXT:Eventi DIAG
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TZID:Europe/Paris
BEGIN:STANDARD
DTSTART:20151025T030000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
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BEGIN:DAYLIGHT
DTSTART:20160327T020000
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TZOFFSETTO:+0200
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BEGIN:VEVENT
UID:calendar.7228.field_data.0@www.glad.uniroma1.it
DTSTAMP:20260404T173157Z
CREATED:20160114T124803Z
DESCRIPTION:This talk will discuss an algorithmic approach to the study of 
 dynamical systems on time-varying graphs. Diffusive influence systems have
  been used to model all sorts of dynamics\, from political polarization to
  firefly\, power grid\, and heart pacemaker cell synchronization. We revie
 w a suite of new techniques for analyzing such systems\, including the s-e
 nergy\, network sequence parsing\, multi-agent renormalization\, tensor li
 fts\, and message-passing methods.Bio: Bernard Chazelle is Eugene Higgins 
 Professor of Computer Science at Princeton University\, where he has been 
 on the faculty since 1986. His current research focuses on the “algorithmi
 c nature” of living systems. A professor at the Collège de France in Paris
  in recent years as well as a member of the Institute for Advanced Study i
 n Princeton\, he received his Ph.D in computer science from Yale Universit
 y in 1980. The author of the book\, 'The Discrepancy Method\,' he is a fel
 low of the American Academy of Arts and Sciences\, the European Academy of
  Sciences\, and the recipients of three Best-Paper awards from SIAM.
DTSTART;TZID=Europe/Paris:20160122T120000
DTEND;TZID=Europe/Paris:20160122T120000
LAST-MODIFIED:20190805T155749Z
LOCATION:DIAG\, Aula Magna I floor
SUMMARY:Bernard Chazelle - Communication\, Renormalization\, and Dynamic Ne
 tworks - Bernard Chazelle (Princeton University)
URL;TYPE=URI:http://www.glad.uniroma1.it/node/7228
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