Cut problems and their application to divide-and-conquer
Approximation algorithms for NP-hard problems
Multicommodity max-flow min-cut theorems and their use in designing approximation algorithms
Journal of the ACM (JACM)
Improved results for directed multicut
SODA '03 Proceedings of the fourteenth annual ACM-SIAM symposium on Discrete algorithms
SODA '03 Proceedings of the fourteenth annual ACM-SIAM symposium on Discrete algorithms
Approximating Directed Multicuts
FOCS '01 Proceedings of the 42nd IEEE symposium on Foundations of Computer Science
Journal of Computer and System Sciences
Graph decomposition and a greedy algorithm for edge-disjoint paths
SODA '04 Proceedings of the fifteenth annual ACM-SIAM symposium on Discrete algorithms
Approximation algorithms and hardness results for cycle packing problems
ACM Transactions on Algorithms (TALG)
QoS analysis of weighted multi-state probabilistic networks via decision diagrams
SAFECOMP'10 Proceedings of the 29th international conference on Computer safety, reliability, and security
Hi-index | 5.23 |
We present a pure combinatorial problem whose solution determines max-flow min-cut ratio for directed multicommodity flows. In addition, this combinatorial problem has applications in improving the approximation factor of the greedy algorithm for the maximum edge disjoint path problem. More precisely, our upper bound improves the approximation factor for this problem to O(n3/4).