Titlebook: Combinatorial Optimization and Applications; 9th International Co Zaixin Lu,Donghyun Kim,Ding-Zhu Du Conference proceedings 2015 Springer I

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Intelligentes Leben in der Stadt der Zukunfts of a given . are influenced; subsequently, at each round, the set of influenced nodes is augmented by all the nodes in the network that have a sufficiently large number of already influenced neighbors. The question is to determine a small subset of nodes . (.) that can influence the whole network.

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Cyber Brittleness of Smart Cities time, one can derive polynomial algorithms for the problem, provided the cost function is monotonic or periodic. Finally, as an observation, we mention how polynomial time algorithms can be adapted with the objective of minimizing maximum lateness.

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Richa Gupta,Saima Majid,Mohini Yadavem with axis-parallel squares, where . is the number of squares and side lengths of the squares vary from 1 to .. We also prove that when the given objects are unit-height rectangles, both the hitting set and set cover problems are .-complete. For the same set of objects, we prove that the independent set problem can be solved in polynomial time.

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Directed Pathwidth and Palletizerstroduce a graph model for this problem, the so called sequence graph, which allows us to show that there is a processing of some list of sequences with at most . stack-up places if and only if the sequence graph of this list has directed pathwidth at most ..