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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/10.1007/978-3-663-06941-6rs of vertices of interest in . up to a multiplicative factor of ., even when the graph edges at a single time-instant become unavailable. In particular, we consider the ., ., and . cases and, for each case we look at three quality requirements: . distances (i.e., .), . distances (i.e., . for an arb
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,Der Koeffizient λ für Erd- und Kiesbetten,he minimal mechanical operation of rotating around each other. The goal is to transform an initial shape of devices A into a target shape B. We are interested in characterising the class of shapes which can be transformed into each other in such a scenario, under the additional constraint of maintai
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https://doi.org/10.1007/978-3-663-06942-3ch can be abstracted as follows. We are given . machines and . jobs, as well as a set of . . for every job . and machine .. Can we assign the jobs so that, if job . ends up on machine ., at most . jobs in total are processed on .? We define two natural optimization versions: (i) Maximize the total w
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,Einführung in das neue Safety Management,n every slot ., the process updates the current graph instance to generate the next graph instance .. The process first sets .. Then, for every ., it adds at most one new vertex . to . and adds the edge . to . alongside any subset of the edges . is at distance at most . from . in ., for some integer
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,Abschnitt A – Allgemeine Bestimmungen,e facility sites) ordered from left to right in the plane so that none of the existing facility sites are affected (no demand point falls in the interior of the disks). We study this problem in two restricted settings: (i) the obnoxious facilities are constrained to be centered on a predetermined ho
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