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UID:8027f3fa67edc8309b8391d7cabb097b
CATEGORIES:Experimental Mathematics Seminar
CREATED:20251105T103453
SUMMARY: Guessing with little data
LOCATION:https://rutgers.zoom.us/j/95103383827    password: 6564120420
DESCRIPTION:<p>Automated guessing is a very popular tool in experimental mathematics. G
 iven the first few terms of an infinite sequence, it tries to find a recurr
 ence that the sequence is in some way likely to satisfy. If the sequence un
 der consideration indeed satisfies a recurrence and a sufficient number of 
 initial terms is supplied as input, then the method is bound to find the co
 rrect answer. But sufficiently many initial terms are not always available.
  Together with Christoph Koutschan, we have proposed a variant of the class
 ical method that needs fewer terms and catches some of these cases. We will
  explain the idea behind this variant and present some conjectures that hav
 e been found with the method.</p>
CONTACT: Manuel Kauers,  Johannes  Kepler University,  Linz,  Austria
DTSTAMP:20260826T002624
DTSTART;TZID=America/New_York:20251211T170000
DTEND;TZID=America/New_York:20251211T180000
SEQUENCE:0
TRANSP:OPAQUE
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