Combinatorial Algorithms for Capacitated Network Design
MohammadTaghi Hajiaghayi, Rohit Khandekar, Guy Kortsarz, Zeev, Nutov

TL;DR
This paper develops combinatorial algorithms for the Capacitated Network Design problem, establishing lower bounds and providing poly-logarithmic approximation algorithms for special cases like Connected Cap-SNDP and Unbalanced point-to-point connection.
Contribution
It introduces the first poly-logarithmic approximation algorithms for several special cases of Cap-SNDP, including Connected Cap-SNDP and Unbalanced point-to-point connection, and establishes lower bounds via reduction from Group Steiner tree.
Findings
First poly-logarithmic lower bound for Cap-SNDP.
Poly-logarithmic approximation for Connected Cap-SNDP via reduction to Submodular tree cover.
Logarithmic approximation for Unbalanced point-to-point connection problem.
Abstract
We focus on designing combinatorial algorithms for the Capacitated Network Design problem (Cap-SNDP). The Cap-SNDP is the problem of satisfying connectivity requirements when edges have costs and hard capacities. We begin by showing that the Group Steiner tree problem (GST) is a special case of Cap-SNDP even when there is connectivity requirement between only one source-sink pair. This implies the first poly-logarithmic lower bound for the Cap-SNDP. We next provide combinatorial algorithms for several special cases of this problem. The Cap-SNDP is equivalent to its special case when every edge has either zero cost or infinite capacity. We consider a special case, called Connected Cap-SNDP, where all infinite-capacity edges in the solution are required to form a connected component containing the sinks. This problem is motivated by its similarity to the Connected Facility Location…
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Taxonomy
TopicsComplexity and Algorithms in Graphs · Computational Geometry and Mesh Generation · Advanced Graph Theory Research
