Optimal parallel algorithms for finding cut vertices and bridges of interval graphs
Information Processing Letters
Scan-first search and sparse certificates: an improved parallel algorithm for k-vertex connectivity
SIAM Journal on Computing
Efficient parallel algorithms for finding biconnected components of some intersection graphs
CSC '91 Proceedings of the 19th annual conference on Computer Science
Efficient Parallel Algorithms on Interval Graphs
PARLE '92 Proceedings of the 4th International PARLE Conference on Parallel Architectures and Languages Europe
Efficient algorithm for the vertex connectivity of trapezoid graphs
Information Processing Letters
Max-min weight balanced connected partition
Journal of Global Optimization
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The connectivity problem is a fundamental problem in graph theory. The best known algorithm to solve the connectivity problem on general graphs with n vertices and m edges takes O(K(G)mn1.5) time, where K(G) is the vertex connectivity of G. In this paper, an efficient algorithm is designed to solve vertex connectivity problem, which takes O(n2) time and O(n) space for a trapezoid graph.