Quantitative Agent Service Matching
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
Incremental assignment problem
Information Sciences: an International Journal
Parameterized matching with mismatches
Journal of Discrete Algorithms
Approximate parameterized matching
ACM Transactions on Algorithms (TALG)
Association-based similarity testing and its applications
Intelligent Data Analysis
Reducing rank-maximal to maximum weight matching
Theoretical Computer Science
δ γ --- Parameterized Matching
SPIRE '08 Proceedings of the 15th International Symposium on String Processing and Information Retrieval
Kernels Based on Distributions of Agreement Subtrees
AI '08 Proceedings of the 21st Australasian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Maximum weight bipartite matching in matrix multiplication time
Theoretical Computer Science
An experimental comparison of single-sided preference matching algorithms
Journal of Experimental Algorithmics (JEA)
Efficient algorithms for maximum weight matchings in general graphs with small edge weights
Proceedings of the twenty-third annual ACM-SIAM symposium on Discrete Algorithms
A scaling algorithm for maximum weight matching in bipartite graphs
Proceedings of the twenty-third annual ACM-SIAM symposium on Discrete Algorithms
A simple reduction from maximum weight matching to maximum cardinality matching
Information Processing Letters
Linear-Time Approximation for Maximum Weight Matching
Journal of the ACM (JACM)
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Let G be a bipartite graph with positive integer weights on the edges and without isolated nodes. Let n, N, and W be the node count, the largest edge weight, and the total weight of G. Let k(x, y) be log x / log (x2/y). We present a new decomposition theorem for maximum weight bipartite matchings and use it to design an $O(\sqrt{n}W / k(n, W/N))$-time algorithm for computing a maximum weight matching of G. This algorithm bridges a long-standing gap between the best known time complexity of computing a maximum weight matching and that of computing a maximum cardinality matching. Given G and a maximum weight matching of G, we can further compute the weight of a maximum weight matching of G - {u} for all nodes u in O(W) time.