Spanning Trees---Short or Small
SIAM Journal on Discrete Mathematics
A constant-factor approximation algorithm for the k MST problem (extended abstract)
STOC '96 Proceedings of the twenty-eighth annual ACM symposium on Theory of computing
New Approximation Guarantees for Minimum-Weight k-Trees and Prize-Collecting Salesmen
SIAM Journal on Computing
A 3-approximation for the minimum tree spanning k vertices
FOCS '96 Proceedings of the 37th Annual Symposium on Foundations of Computer Science
Approximate k-MSTs and k-Steiner trees via the primal-dual method and Lagrangean relaxation
Mathematical Programming: Series A and B
Approximation algorithms for network design with metric costs
Proceedings of the thirty-seventh annual ACM symposium on Theory of computing
Saving an epsilon: a 2-approximation for the k-MST problem in graphs
Proceedings of the thirty-seventh annual ACM symposium on Theory of computing
Survivable network design with degree or order constraints
Proceedings of the thirty-ninth annual ACM symposium on Theory of computing
Improved algorithms for orienteering and related problems
Proceedings of the nineteenth annual ACM-SIAM symposium on Discrete algorithms
On approximating the d-girth of a graph
SOFSEM'11 Proceedings of the 37th international conference on Current trends in theory and practice of computer science
On approximating the d-girth of a graph
Discrete Applied Mathematics
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In the (k,λ)-subgraph problem, we aregiven an undirected graph G= (V,E) withedge costs and two parameters kand λandthe goal is to find a minimum cost λ-edge-connectedsubgraph of Gwith at least knodes. Thisgeneralizes several classical problems, such as the minimum costk-Spanning Tree problem or k-MST (which is a(k,1)-subgraph), and minimum costλ-edge-connected spanning subgraph (which is a(|V(G)|,λ)-subgraph). The onlypreviously known results on this problem [12,5] show that the(k,2)-subgraph problem has an O(log2n)-approximation (even for 2-node-connectivity) and thatthe (k,¿)-subgraph problem in general isalmost as hard as the densest k-subgraph problem [12]. Inthis paper we show that if the edge costs are metric (i.e. satisfytriangle inequality), like in the k-MST problem, thenthere is an O(1)-approximation algorithm for(k,λ)-subgraph problem. This essentiallygeneralizes the k-MST constant factor approximability tohigher connectivity.