no code implementations • 12 Dec 2023 • Argyrios Deligkas, Eduard Eiben, Robert Ganian, Thekla Hamm, Sebastian Ordyniak
The problem is NP-complete, and we analyze its complexity with respect to two natural complexity measures: the number of agents and the number of edges in the graph.
no code implementations • 6 Nov 2023 • Argyrios Deligkas, Eduard Eiben, Gregory Gutin, Philip R. Neary, Anders Yeo
Objectives (i) and (iii) are tractable problems in pure coordination games, but for anti-coordination games are NP-hard.
no code implementations • 13 Apr 2020 • Argyrios Deligkas, Igor Potapov
The second, imposes independent delays on the time labels of every edge of the graph. cWe provide a thorough investigation of the computational complexity of different objectives related to reachability sets when these operations are used.
Epidemiology Data Structures and Algorithms Computational Complexity Computers and Society Social and Information Networks
1 code implementation • 27 Mar 2020 • Dmytro Antypov, Argyrios Deligkas, Vladimir Gusev, Matthew J. Rosseinsky, Paul G. Spirakis, Michail Theofilatos
In addition, due to the chemical expertise involved in the parameter-tuning, these approaches can be {\em biased} towards previously-known crystal structures.
Computational Engineering, Finance, and Science
no code implementations • 16 Nov 2018 • Alon Cohen, Moran Koren, Argyrios Deligkas
Furthermore, we show that when there are only two possible outcomes or the agent is risk-neutral, the algorithm's outcome approximates the optimal contract described in the classical theory.