The LET-DG algorithm is a distributed implementation of the maximum
spanning tree algorithm [21] on a weighted network graph with the edge weights modeled as the predicted link expiration time (LET) of the constituent end nodes.
end While return rd-MST ([V.sup.rd], [E.sup.rd]) End The run-time complexity of the rd-MST algorithm is O([absolute value of E] x log [[absolute value of E]) + O([absolute value of V] + [absolute value of E]) = O([absolute value of V] + [absolute value of E] x log [absolute value of E]), where O([absolute value of E] x log [absolute value of E]) is the run-time complexity of the Kruskal's minimum-weight
spanning tree algorithm [8] and O([absolute value of V] + [absolute value of E]) is the run-time complexity of Breadth- First Search [8], both on a graph of [absolute value of V] vertices and [absolute value of E] edges.
Packets also improve the F-heap minimum
spanning tree algorithm, giving the fastest algorithm currently known for this problem.
Beginning with a discussion of networking standards and basic hardware and cabling, the work covers topics such as ethernet networking,
spanning tree algorithms, IP protocols such as TCP, UDP and SCTP, address resolutions systems, routing, virtual local networks, IP on PPP connections, network administration, security and flow management.
Nonprojective Dependency Parsing Using
Spanning Tree Algorithms. In Proceedings of the Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing.