Approximation algorithms for NP-hard problems
Approximation algorithms for NP-hard problems
The primal-dual method for approximation algorithms and its application to network design problems
Approximation algorithms for NP-hard problems
On the Equivalence between the Primal-Dual Schema and the Local-Ratio Technique
APPROX '01/RANDOM '01 Proceedings of the 4th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems and 5th International Workshop on Randomization and Approximation Techniques in Computer Science: Approximation, Randomization and Combinatorial Optimization
Local ratio: A unified framework for approximation algorithms. In Memoriam: Shimon Even 1935-2004
ACM Computing Surveys (CSUR)
Theoretical Computer Science
Combination of parallel machine scheduling and vertex cover
Theoretical Computer Science
Hi-index | 0.00 |
We present local ratio interpretations of known algorithms for minimums-tcut and the assignment problem. Our interpretations are the first application of local ratio with negative weights. These interpretations lead to primal-dual analyses that are based on new IP formulations.