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Better Algorithms For Unfair Metrical Task Systems And Applicationsby: Amos Fiat, Manor Mendel
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AbstractUnfair metrical task systems are a generalization of online metrical task systems. In this paper we introduce new techniques to combine algorithms for unfair metrical task systems and apply these techniques to obtain the following results: 1. Better randomized algorithms for unfair metrical task systems on the uniform metric space. 2. A randomized algorithm for metrical task systems on general metric spaces, O((log n log log n) 2 ) competitive, improving on the best previous result of O(log 5 n log log n). 3. A tight randomized competitive ratio for the k-weighted caching problem on k + 1 points, O(log k), improving on the best previous result of O(log 2 k). 4. An O(log 2 n) competitive randomized algorithm for metrical task systems on n equally spaced points on the line. Key words. online algorithms, randomized algorithms AMS subject classications. 68W20, 68W25, 68W40 1.
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