Title :
Universal traversal sequences with backtracking
Author_Institution :
Dept. of Comput. Sci., Rutgers Univ., Piscataway, NJ, USA
Abstract :
We introduce a new notion of traversal sequences that we call exploration sequences. Exploration sequences share many properties with the traversal sequences defined in (AKL+), but they also exhibit some new properties. In particular, they have an ability to backtrack, and their random properties are robust under choice of the probability distribution on labels. Further, we present extremely simple constructions of polynomial length universal exploration sequences for some previously studied classes of graphs (e.g. 2-regular graphs, cliques, expanders), and we also present universal exploration sequences for trees. Our constructions beat previously known lower-bounds on the length of universal traversal sequences
Keywords :
backtracking; computational complexity; graph theory; probability; sequences; backtracking; exploration sequences; graphs; labels; length lower bounds; polynomial length universal exploration sequences; probability distribution; random properties; trees; universal traversal sequences; Bipartite graph; Computer science; Graph theory; Labeling; Polynomials; Probability distribution; Robustness; Tree graphs;
Conference_Titel :
Computational Complexity, 16th Annual IEEE Conference on, 2001.
Conference_Location :
Chicago, IL
Print_ISBN :
0-7695-1053-1
DOI :
10.1109/CCC.2001.933868