BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Drupal iCal API//EN X-WR-CALNAME:Events items teaser X-WR-TIMEZONE:America/Toronto BEGIN:VTIMEZONE TZID:America/Toronto X-LIC-LOCATION:America/Toronto BEGIN:DAYLIGHT TZNAME:EDT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 DTSTART:20200308T070000 END:DAYLIGHT BEGIN:STANDARD TZNAME:EST TZOFFSETFROM:-0400 TZOFFSETTO:-0500 DTSTART:20201101T060000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT UID:682e4cf4b1202 DTSTART;TZID=America/Toronto:20210115T153000 SEQUENCE:0 TRANSP:TRANSPARENT DTEND;TZID=America/Toronto:20210115T153000 URL:/combinatorics-and-optimization/events/tutte-colloq uium-anupam-gupta-1 SUMMARY:Tutte Colloquium: Anupam Gupta CLASS:PUBLIC DESCRIPTION:Summary \n\nTITLE: Finding and Counting k-cuts in Graphs\n\nSp eaker:\n Anupam Gupta\n\nAffiliation:\n\nCarnegie Mellon University\n\nZoo m:\n Please email Emma Watson\n\nABSTRACT:\n\nFor an undirected graph wit h edge weights\, a k-cut is a set of edges\nwhose deletion breaks the grap h into at least k connected components.\nHow fast can we find a minimum-we ight k-cut? And how many minimum\nk-cuts can a graph have? The two problem s are closely linked. In 1996\nKarger and Stein showed how to find a minim um k-cut in approximately\nn^{2k-2} time\; their proof also bounded the nu mber of minimum k-cuts\nby n^{2k-2}\, using the probabilistic method.\n DTSTAMP:20250521T220020Z END:VEVENT END:VCALENDAR