Complexity of finding embeddings in a k-tree
SIAM Journal on Algebraic and Discrete Methods
A Linear-Time Algorithm for Finding Tree-Decompositions of Small Treewidth
SIAM Journal on Computing
The maximum edge biclique problem is NP-complete
Discrete Applied Mathematics
Identifying sets of key players in a social network
Computational & Mathematical Organization Theory
Efficient Spare Allocation for Reconfigurable Arrays
IEEE Design & Test
Computers and Operations Research
Detecting critical nodes in sparse graphs
Computers and Operations Research
On approximation of new optimization methods for assessing network vulnerability
INFOCOM'10 Proceedings of the 29th conference on Information communications
Complexity of the critical node problem over trees
Computers and Operations Research
How to cut a graph into many pieces
TAMC'11 Proceedings of the 8th annual conference on Theory and applications of models of computation
Deterministic network interdiction
Mathematical and Computer Modelling: An International Journal
A derandomized approximation algorithm for the critical node detection problem
Computers and Operations Research
Hi-index | 0.04 |
We consider the problem of deleting a limited number of nodes from a graph in order to minimize a connectivity measure of the surviving nodes. We prove that the problem isNP-complete even on quite particular types of graphs, and define a dynamic programming recursion that solves the problem in polynomial time when the graph has bounded treewidth. We extend this polynomial algorithm to several variants of the problem.