directed hypergraphs algorithms and applications - Free

More documents

Recommendations

Info

Algorithm 2 - Let H = be a <strong>directed</strong> hypergraph. Let µ be an inductively defined measure based on superior functions. Algorithm 2 computes all single source shortest distances starting from source set S. 1) Propagate reachability 2) Perform Algorithm 1
Algorithm 2 computes all shortest distances from source set S in time O(|H| log |N| + |H |). Again cost can be reduced to O(|N| log |N| + |H |) by making use of Fibonacci heaps for implementing the priority queue. The algorithm can be extended to deal with maximization problems for measures based on weakly inferior functions.
Page 1 and 2: DIRECTED HYPERGRAPHS ALGORITHMS AND
Page 3 and 4: Shortest Hyperpath Problems The fol
Page 5 and 6: Measuring hyperpaths On directed hy
Page 7 and 8: Left Hyperpath Gap=3 Rank=4 Gap and
Page 9 and 10: An example of the folded an unfolde
Page 11 and 12: Example. In the most intuitive case
Page 13 and 14: Threshold: t = (0, max, max) t (∅
Page 15 and 16: The most general formulation of (si
Page 17 and 18: Generalization: Bellman-Ford equati
Page 19 and 20: Functional directed hypergraph H F
Page 21 and 22: Minimization of superior context fr
Page 23 and 24: Weakly superior functions (WSUP): g
Page 25 and 26: In the following we will see how (a
Page 27 and 28: Algorithm 1 - Let H = be a directe
Page 29 and 30: Algorithm 1 can be applied to minim
Page 31 and 32: In the previous example we have the
Page 33: Note that in this case convergence
Page 37: Essential references • Ausiello,

directed hypergraphs algorithms and applications - Free

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?