Titlebook: Algorithms and Complexity; 10th International C Dimitris Fotakis,Aris Pagourtzis,Vangelis Th. Pasc Conference proceedings 2017 Springer Int

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Temporal Flows in Temporal Networkshemeral in the sense that no link exists after some time. Our flow model is new and differs from the “flows over time” model, also called “dynamic flows” in the literature. We show that the problem of finding the maximum amount of flow that can pass from a source vertex . to a sink vertex . up?to a

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Improved Lower Bounds for Graph Embedding Problemss, which we call . and ., and show that these cannot be solved in time ., unless the Exponential Time Hypothesis fails..These results are used to obtain simplified hardness results for several graph embedding problems, on more restricted graph classes than previously known: assuming the Exponential

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Collaboration Without Communication: Evacuating Two Robots from a Diske center of the area and throughout the evacuation process they can only communicate with each other when they are at the same point at the same time. Having a visibility range of 0, the robots can only identify the location of the exit if they are already at the exit position. The task is to minimi

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Assessing the Computational Complexity of Multi-layer Subgraph Detectione associated via multiple types of relationships (edges in different layers). We chart the border of computational (in)tractability for the class of subgraph detection problems on multi-layer graphs, including fundamental problems such as maximum matching, finding certain clique relaxations (motivat