September 13-17, 2021
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.
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:
Schedule can be found here:
Interested in attending the School?
Here is the link for the online (and free) registration!
This Summer School is part of the HIM trimester in Discrete Optimization
Organizers: Daniel Dadush (Amsterdam), Jesper Nederlof (Utrecht), Neil Olver (London), Laura Sanità (Eindhoven), László Végh (London)