We study approximation results for the Euclidean bipartite traveling salesman problem (TSP). We present the first worstcase examples, proving that the approximation guarantees of two known polynomial-time algorithms are tight. Moreover, we propose a new algorithm which displays a superior average ca
โฆ LIBER โฆ
Improved Approximation Algorithms for Bipartite Correlation Clustering
โ Scribed by Ailon, Nir; Avigdor-Elgrabli, Noa; Liberty, Edo; van Zuylen, Anke
- Book ID
- 118158322
- Publisher
- Society for Industrial and Applied Mathematics
- Year
- 2012
- Tongue
- English
- Weight
- 242 KB
- Volume
- 41
- Category
- Article
- ISSN
- 0097-5397
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MAX SAT (the maximum s~tisfiability problem) is stated as follows: given a set of clauses with weights, find a truth assignment that maximizes the sum of the weights of the satisfied clauses. In this paper, we consider approxima~ tion algorithms for MAX SAT proposed by Goemans and Williamson and pze