Nikhil Bansal, Rohit Khandekar, et al.
SIAM Journal on Computing
We study the Unsplittable Flow Problem (UFP) on line graphs and cycles, focusing on the long-standing open question of whether the problem is APX-hard. We describe a deterministic quasi-polynomial time approximation scheme for UFP on line graphs, thereby ruling out an APX-hardness result, unless NP ⊆ DTIME(2polylog(n)). Our result requires a quasi-polynomial bound on all edge capacities and demands in the input instance. We extend this result to undirected cycle graphs. Earlier results on this problem included a polynomial time (2 + ε) -approximation under the assumption that no demand exceeds any edge capacity (the "no-bottleneck assumption") and a superconstant integrality gap if this assumption did not hold. Unlike most earlier work on UFP, our results do not require a no-bottleneck assumption. Copyright 2006 ACM.
Nikhil Bansal, Rohit Khandekar, et al.
SIAM Journal on Computing
Nikhil Bansal, Zachary Friggstad, et al.
ACM Transactions on Algorithms
Nikhil Bansal, Moshe Lewenstein, et al.
Algorithmica (New York)
Nikhil Bansal, Ho-Leung Chan, et al.
Theoretical Computer Science