Titlebook: Algorithmics of Wireless Networks; 18th International S Thomas Erlebach,Michael Segal Conference proceedings 2022 The Editor(s) (if applica

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https://doi.org/10.1007/978-3-663-06942-3 by the algorithm or the adversary. To that end, we provide a tight analysis for the algorithm that has been proved to be optimal for the previously studied search domains, as well as we provide lower bounds for each of the problems. Both our upper and lower bounds match and extend naturally the pre

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,Der D?ne Niels Stensen (Nicolaus Steno),nd . messages. For both settings, our algorithms work without the knowledge of ., the number of faults. To the best of our knowledge, these are the first results for the graph realization problem in the crash-fault distributed network.

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,Einführung in das neue Safety Management,ally, the algorithm should try to minimize the total number of slots . and of excess edges . used by the process..We show that the most interesting case is when . and that there is a natural trade-off between . and .. We begin by investigating growth schedules of . excess edges. On the positive side

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,Abschnitt A – Allgemeine Bestimmungen, parametric search technique of Megiddo [.]; we can solve the problem exactly in . time, which is faster than the former. Continuing further, using the improved parametric technique we give an .-time algorithm for .. We finally show that the above .-approximation algorithm of [.] can be easily adapt

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,Fault-Tolerant Graph Realizations in?the?Congested Clique,nd . messages. For both settings, our algorithms work without the knowledge of ., the number of faults. To the best of our knowledge, these are the first results for the graph realization problem in the crash-fault distributed network.