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School on modern directions in discrete optimization
Dates: September 13 - 17, 2021
Venue: online
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Lecturers:
Michal Pilipczuk (Warsaw University)
Title: Introduction to parameterized algorithms and applications in
discrete optimization
Aaron Sidford (Stanford University)
Title: Introduction to interior point methods for discrete optimization
Ngoc Mai Tran (UT Austin)
Title: Tropical solutions to hard problems in auction theory and neural
networks, semigroups and extreme value statistics
Rico Zenklusen (ETH Zürich)
Title: Approximation algorithms for hard augmentation problems
Aim and Scope:
The school provides an introduction to some of the main topics of the
trimester program on discrete optimization. The lectures will address
the interface between tropical geometry and discrete optimization;
recent developments in continuous optimization with applications to
combinatorial problems; topics in approximation algorithms; and fixed
parameter tractability. The lectures will be mainly directed towards
PhD students and junior researchers.
Abstracts can be found here:
https://www.him.uni-
bonn.de/fileadmin/him/Workshops/template_abstracts_him_School_Sept_I.pd
f
Schedule can be found here:
https://www.him.uni-
bonn.de/fileadmin/him/Workshops/template_schedule_him_School_Sept_I.pdf
Interested in attending the School?
Here is the link for the online (and free) registration!
https://www.him.uni-bonn.de/index.php?id=4847
This Summer School is part of the HIM trimester in Discrete
Optimization
https://www.him.uni-bonn.de/programs/future-programs/future-trimester-
programs/discrete-optimization/discrete-optimization-school/
https://www.him.uni-bonn.de/programs/future-programs/future-trimester-
programs/discrete-optimization/description/
Organizers: Daniel Dadush (Amsterdam), Jesper Nederlof (Utrecht), Neil
Olver (London), Laura Sanita (Eindhoven), Laszlo Vegh (London)
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