In this paper we propose an efficient approximation algorithm for determining solutions to the critical node detection problem (CNDP) on unweighted and ...
In this paper we propose an efficient approximation algorithm for determining solutions to the critical node detection problem (CNDP) on unweighted and ...
A derandomized approximation algorithm for the critical node ...
dl.acm.org › doi › j.cor.2013.09.012
In this paper we propose an efficient approximation algorithm for determining solutions to the critical node detection problem (CNDP) on unweighted and ...
A derandomized approximation algorithm for the critical node detection problem. https://doi.org/10.1016/j.cor.2013.09.012 ·. Journal: Computers & ...
Abstract. In this chapter we discuss a common derandomized approximation algorithm for yielding a constant-tunable approximation bound to two variants of ...
In this chapter we discuss a common derandomized approximation al- gorithm for yielding a constant-tunable approximation bound to two variants of the critical ...
An efficient algorithm is presented for CND, in which a novel node centrality measure based on network topology is used to estimate node importance and a ...
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We presented the first parallel algorithms for approximated solving of the NP-complete CND problem in general, and for CNDP solving on GPU and in the cloud in ...
A derandomized approximation algorithm for the critical node detection problem. Article. Mar 2014; COMPUT OPER RES. Mario Ventresca · Dionne M ...
Feb 1, 2024 · Aleman, “A derandomized approximation algorithm for the critical node detection problem,” Computers & Operations. Research, vol. 43, no. MAR ...