{"id":164684,"date":"2013-01-01T00:00:00","date_gmt":"2013-01-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/algorithms-for-hub-label-optimization\/"},"modified":"2018-10-16T20:42:39","modified_gmt":"2018-10-17T03:42:39","slug":"algorithms-for-hub-label-optimization","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/algorithms-for-hub-label-optimization\/","title":{"rendered":"Algorithms for Hub Label Optimization"},"content":{"rendered":"<div class=\"asset-content\">\n<p>Cohen et al. developed an O(log n)-approximation algorithm for minimizing the total hub label size (L1 norm). We give O(log n)-approximation algorithms for the problems of minimizing the maximum label (infinity norm), any Lp norm, and minimizing Lp and Lq norms simultaneously.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Cohen et al. developed an O(log n)-approximation algorithm for minimizing the total hub label size (L1 norm). 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