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Reasoning about online algorithms with weighted automata
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Proceedings of the Nineteenth Annual ACM -SIAM Symposium on Discrete Algorithms table of contents
New York, New York
Pages 835-844  
Year of Publication: 2009
Authors
Benjamin Aminof  Hebrew University, Israel
Orna Kupferman  Hebrew University, Israel
Robby Lampert  Hebrew University, Israel
Publisher
Society for Industrial and Applied Mathematics  Philadelphia, PA, USA
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ABSTRACT

We describe an automata-theoretic approach for the competitive analysis of online algorithms. Our approach is based on weighted automata, which assign to each input word a cost in R≥0. By relating the "unbounded look ahead" of optimal offline algorithms with nondeterminism, and relating the "no look ahead" of online algorithms with determinism, we are able to solve problems about the competitive ratio of online algorithms, and the memory they require, by reducing them to questions about determinization and approximated determinization of weighted automata.


REFERENCES

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Collaborative Colleagues:
Benjamin Aminof: colleagues
Orna Kupferman: colleagues
Robby Lampert: colleagues