
doi: 10.1137/0214040
We study VLSI solutions to the connected component problem on networks that have area too small to store all the edges of the graph for the entire computation. We give lower bounds on the time needed to solve this problem on such networks, as well as an optimal algorithm. The lower bounds use a new proof technique combining adversary strategy, information flow, and Kolmogorov complexity arguments. The lower bounds obtained for the connected components problem hold for a number of other undirected graph problems.
undirected graph, information flow, Graph theory (including graph drawing) in computer science, Analysis of algorithms and problem complexity, networks, Applications of graph theory to circuits and networks, optimal algorithm, connected component problem, Kolmogorov complexity, lower bound, VLSI complexity
undirected graph, information flow, Graph theory (including graph drawing) in computer science, Analysis of algorithms and problem complexity, networks, Applications of graph theory to circuits and networks, optimal algorithm, connected component problem, Kolmogorov complexity, lower bound, VLSI complexity
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