
In the {\em capacitated} survivable network design problem (Cap-SNDP), we are given an undirected multi-graph where each edge has a capacity and a cost. The goal is to find a minimum cost subset of edges that satisfies a given set of pairwise minimum-cut requirements. Unlike its classical special case of SNDP when all capacities are unit, the approximability of Cap-SNDP is not well understood; even in very restricted settings no known algorithm achieves a $o(m)$ approximation, where $m$ is the number of edges in the graph. In this paper, we obtain several new results and insights into the approximability of Cap-SNDP.
19 pages, 1 figure
FOS: Computer and information sciences, Discrete Mathematics (cs.DM), network design, linear programming relaxations, Programming involving graphs or networks, Approximation algorithms, Computer Science - Data Structures and Algorithms, Deterministic network models in operations research, Data Structures and Algorithms (cs.DS), approximation algorithms, Computer Science - Discrete Mathematics
FOS: Computer and information sciences, Discrete Mathematics (cs.DM), network design, linear programming relaxations, Programming involving graphs or networks, Approximation algorithms, Computer Science - Data Structures and Algorithms, Deterministic network models in operations research, Data Structures and Algorithms (cs.DS), approximation algorithms, Computer Science - Discrete Mathematics
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