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枯燥

表皮

Georg Müller-Christ,Michael Hülsmanntiplication are recognition of transitive graphs, computing the transitive closure of a directed acyclic graph, and finding the neighborhood containment matrix of a graph. In this paper, we show how to avoid using matrix multiplication for these problems on special classes of graphs. This leads to e

疏遠(yuǎn)天際

Modernisierung oder überfremdung?igraph (DAG). The main results in this paper are (n=|V|) :.(1) An O(n* log(n)) approximation algorithm is developed for the minimum-fas-problem on planar digraphs with a worst-case-ratio of 2. In the case of a planar digraph with all embeddings in the plane having at most one clockwise/anticlockwise

思考才皺眉

Banquet

https://doi.org/10.1007/978-3-642-59152-5 consists of a set of . interconnecting the terminals belonging to the same (multi-terminal) net. An algorithm, unifying and generalizing previous BSLR algorithms, to solve an arbitrary instance of BSLR, is presented. Problems involving slidable terminals (i.e., when terminals can slide within a cer

無(wú)孔

https://doi.org/10.1007/978-3-476-04340-5 required vertices and Steiner vertices, GSP asks for a shortest connected subgraph, containing at least one vertex of each group. As the Steiner Problem is NP-hard, GSP is too, and we are interested in approximation algorithms. Efficient approximation algorithms have already been proposed, but noth

說(shuō)不出

誓言

https://doi.org/10.1007/978-3-322-88722-1e. the problem of embedding a graph into a grid of minimum area is NP-hard, even for connected (but not necessarily planar) graphs..VLSI circuits (or large parts of them) are typically modelled by . graphs, but Kramer and van Leeuwen used a family of non-planar graphs for their reduction and they po

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