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Online algorithms for packing and covering problems
Packing and covering problems are classic problems in
combinatorial optimization. These problems were studied in theoretical computer
science for decades, and remain an active and competitive field of research.
Many
computational problems can be expressed as as packing or covering problems,
thus advancements in solving them have enormous importance in logistics,
production, supply-chain, transportation, inventory optimization, designing
micro-circuits, as well as directly in computers systems, e.g. networking and operating systems.
The main goal of the project is to develop an improvements for certain special
cases of packing and covering in the online variant.
Dynamic Balanced Graph Partitioning
Chen Avin, Marcin Bienkowski, Andreas Loukas, Maciej Pacut, Stefan Schmid
SIAM Journal on Discrete Mathematics (SIDMA 2020)