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X-WR-CALNAME:Discrete Mathematics Group
X-ORIGINAL-URL:https://dimag.ibs.re.kr
X-WR-CALDESC:Events for Discrete Mathematics Group
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TZID:Asia/Seoul
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TZOFFSETFROM:+0900
TZOFFSETTO:+0900
TZNAME:KST
DTSTART:20190101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20200805T163000
DTEND;TZID=Asia/Seoul:20200805T173000
DTSTAMP:20260423T080428
CREATED:20200629T004613Z
LAST-MODIFIED:20240705T200032Z
UID:2570-1596645000-1596648600@dimag.ibs.re.kr
SUMMARY:Robert Ganian\, Solving Integer Linear Programs by Exploiting Variable-Constraint Interactions
DESCRIPTION:Integer Linear Programming (ILP) is among the most successful and general paradigms for solving computationally intractable optimization problems in computer science. ILP is NP-complete\, and until recently we have lacked a systematic study of the complexity of ILP through the lens of variable-constraint interactions. This changed drastically in recent years thanks to a series of results that together lay out a detailed complexity landscape for the problem centered around the structure of graphical representations of instances. The aim of this talk is to summarize these recent developments and put them into context. Special attention will be paid to the structural parameter treedepth\, and at the end of the talk we will also consider how treedepth can be used to design algorithms for problems beyond ILP.
URL:https://dimag.ibs.re.kr/event/2020-08-05/
LOCATION:Zoom ID: 869 4632 6610 (ibsdimag)
CATEGORIES:Virtual Discrete Math Colloquium
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