September 13-17, 2021
Online
https://www.him.uni-bonn.de/programs/future-programs/future-trimester-programs/discrete-optimization/discrete-optimization-school/
Aims 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.
Lecturers:
Michał Pilipczuk (Warsaw University): Introduction to parameterized algorithms and applications in discrete optimization
Aaron Sidford (Stanford University): Introduction to interior point methods for discrete optimization
Ngoc Mai Tran (UT Austin): Tropical solutions to hard problems in auction theory and neural networks, semigroups and extreme value statistics
Rico Zenklusen (ETH Zürich): Approximation algorithms for hard augmentation problems
Abstracts can be found here:
https://www.him.uni-bonn.de/fileadmin/him/Workshops/template_abstracts_him_School_Sept_I.pdf
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/description/
Organizers: Daniel Dadush (Amsterdam), Jesper Nederlof (Utrecht), Neil Olver (London), Laura Sanità (Eindhoven), László Végh (London)
CS Theory Events 