A General Approximation Technique for Constrained Forest Problems
SIAM Journal on Computing
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
A 2-Approximation Algorithm for the Undirected Feedback Vertex Set Problem
SIAM Journal on Discrete Mathematics
A unified approach to approximating resource allocation and scheduling
STOC '00 Proceedings of the thirty-second annual ACM symposium on Theory of computing
Primal-Dual Approximation Algorithms for Metric Facility Location and k-Median Problems
FOCS '99 Proceedings of the 40th Annual Symposium on Foundations of Computer Science
Further reflections on a theory for basic algorithms
AAIM'06 Proceedings of the Second international conference on Algorithmic Aspects in Information and Management
How well can primal-dual and local-ratio algorithms perform?
ICALP'05 Proceedings of the 32nd international conference on Automata, Languages and Programming
Exploiting locality: approximating sorting buffers
WAOA'05 Proceedings of the Third international conference on Approximation and Online Algorithms
Local ratio with negative weights
Operations Research Letters
Combination of parallel machine scheduling and vertex cover
Theoretical Computer Science
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We discuss two approximation approaches, the primal-dual schema and the local-ratio technique.W e present two relatively simple frameworks, one for each approach, which extend known frameworks for covering problems. We show that the two are equivalent, and conclude that the integrality gap of an integer program serves as a bound to the approximation ratio when working with the local-ratio technique.