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Robert Ganian, Solving Integer Linear Programs by Exploiting Variable-Constraint Interactions

Wednesday, August 5, 2020 @ 4:30 PM - 5:30 PM KST

Zoom ID: 934 3222 0374 (ibsdimag)


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.


Wednesday, August 5, 2020
4:30 PM - 5:30 PM KST
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Zoom ID: 934 3222 0374 (ibsdimag)
IBS 이산수학그룹 Discrete Mathematics Group
기초과학연구원 수리및계산과학연구단 이산수학그룹
대전 유성구 엑스포로 55 (우) 34126
IBS Discrete Mathematics Group (DIMAG)
Institute for Basic Science (IBS)
55 Expo-ro Yuseong-gu Daejeon 34126 South Korea
E-mail: dimag@ibs.re.kr, Fax: +82-42-878-9209
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