We preset a siple epth-first search strategy for exploring (constructing) an unknown strongly connected graph G with m edges and n vertices by traversing at most min (mn,dn2 + m) edges. Here, d is the minimum number of edges needed to add to G to make it Eulerian. This parameter d is known as the deficiency of a graph and was introduced by Kutten [Kut88]. It was conjectured that graphs with high deficiency. Deng and Papadimitriou [DP90] provided evidence that the conjecture may be true by exhibiting a family of graphs where the robot can be forced to traverse Ω (d2 m) edges in the worst case. Since then, there has been some interest in determining whether a graph with deficiency d can be explored by traversing O(poly(d)m) edges. Our algorithm achieves such bound when the graph is dense, say m = Ω(n2).
CITATION STYLE
Kwek, S. (1997). On a simple depth-first search strategy for exploring unknown graphs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1272, pp. 345–353). Springer Verlag. https://doi.org/10.1007/3-540-63307-3_73
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