Approximating Source Location and Star Survivable Network Problems
Guy Kortsarz, Zeev Nutov

TL;DR
This paper improves approximation ratios for source location and survivable network problems, especially in node-capacity variants, by developing new algorithms with better bounds than previous methods.
Contribution
It introduces improved approximation algorithms for source location and survivable network problems, extending results to node-capacity variants and star-structured edge cases.
Findings
Achieved $O( ext{min}\{ ext{ln} n, ext{ln}^2 k ight)$ ratio for star-structured survivable network.
Improved source location ratio from $O(k ext{ln} k)$ to $O( ext{ln}^2 k)$ for the case $p^*=1$.
Provided new approximation bounds for node-capacity variants and star-structured edge cases.
Abstract
In Source Location (SL) problems the goal is to select a mini-mum cost source set such that the connectivity (or flow) from to any node is at least the demand of . In many SL problems if , namely, the demand of nodes selected to is completely satisfied. In a node-connectivity variant suggested recently by Fukunaga, every node gets a "bonus" if it is selected to . Fukunaga showed that for undirected graphs one can achieve ratio for his variant, where is the maximum demand. We improve this by achieving ratio for a more general version with node capacities, where is the maximum bonus and is the minimum capacity. In particular, for the most natural case considered…
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Taxonomy
TopicsFacility Location and Emergency Management · Complexity and Algorithms in Graphs · Optimization and Search Problems
