Algorithmic and Analysis Techniques in Property Testing
Foundations and Trends® in Theoretical Computer Science
Testing outerplanarity of bounded degree graphs
APPROX/RANDOM'10 Proceedings of the 13th international conference on Approximation, and 14 the International conference on Randomization, and combinatorial optimization: algorithms and techniques
Tight bounds for the cover time of multiple random walks
Theoretical Computer Science
Testing Eulerianity and connectivity in directed sparse graphs
Theoretical Computer Science
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Theoretical Computer Science
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We present an algorithm for testing thek-vertex-connectivity of graphs with given maximum degree.The time complexity of the algorithm is independent of the numberof vertices and edges of graphs. A graph G with nvertices and maximum degree at most d is calledε-far from k-vertex-connectivity when atleast $\frac{\epsilon dn}{2}$ edges must be added to or removedfrom G to obtain a k-vertex-connected graph withmaximum degree at most d. The algorithm always acceptsevery graph that is k-vertex-connected and rejects everygraph that is ε-far fromk-vertex-connectivity with a probability of at least 2/3.The algorithm runs in ${O\left(d\left(\frac{c}{\epsilond}\right)^{k}\log\frac{1}{\epsilon d}\right)}$ time (c 1 is a constant) for given (k - 1)-vertex-connectedgraphs, and ${O\left(d\left(\frac{ck}{\epsilond}\right)^{k}\log\frac{k}{\epsilon d}\right)}$ time (c 1 is a constant) for given general graphs. It is the firstconstant-time k-vertex-connectivity testing algorithm forgeneral k ≥ 4.