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Titlebook: Algorithms and Data Structures; 15th International S Faith Ellen,Antonina Kolokolova,Jörg-Rüdiger Sack Conference proceedings 2017 Springer

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Algorithms and Data Structures978-3-319-62127-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
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https://doi.org/10.1007/978-3-642-52596-4at the curves of such a representation can be partitioned into . groups that represent outer-string graphs or . groups that represent permutation graphs. This leads to better approximation algorithms for hereditary graph problems, such as independent set, clique and clique cover, on .-VPG graphs.
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Der Praktiker in der Werkstatt,dge connectivity, which is called . .-. and (ii) augmenting a given network to a desired value of edge connectivity at a minimum cost which is called . .-.. Many well known problems such as ., ., . 2. and . reduce to these problems in polynomial time. It is easy to see that a minimum solution to the
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Ausbildungs- und Unterrichtsmethoden, some geometric objects in .. These coverage problems form special instances of the . problem which is notoriously hard in several paradigms including approximation and parameterized complexity. Motivated by what are called . in geometry, we consider a variation of the . problem where there are conf
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,Organisation und Förderung des Lernens,s the most desirable properties of geometric spanners both in theory and in practice. More specifically, it has the same theoretical and practical properties as the Path-Greedy spanner: a natural definition, small degree, linear number of edges, low weight, and strong .-spanner for every .. The .-Gr
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