A regularization approach to metrical task systems
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Description
We address the problem of constructing randomized online algorithms for the Metrical Task Systems (MTS) problem on a metric δ against an oblivious adversary. Restricting our attention to the class of “work-based” algorithms, we provide a framework for designing algorithms that uses the technique of regularization. For the case when δ is a uniform metric, we exhibit two algorithms that arise from this framework, and we prove a bound on the competitive ratio of each. We show that the second of these algorithms is ln n + O(loglogn) competitive, which is the current state-of-the art for the uniform MTS problem.
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ID Code: | 47461 |
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Item Type: | Chapter in Book, Report or Conference volume (Conference contribution) |
Measurements or Duration: | 15 pages |
DOI: | 10.1007/978-3-642-16108-7_23 |
ISBN: | 978-3-642-16107-0 |
Pure ID: | 32167487 |
Divisions: | Past > QUT Faculties & Divisions > Faculty of Science and Technology |
Copyright Owner: | Consult author(s) regarding copyright matters |
Copyright Statement: | This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au |
Deposited On: | 02 Dec 2011 04:52 |
Last Modified: | 03 Mar 2024 05:15 |
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