Competitive analysis of the on-line algorithms for multiple stacks systems

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Abstract

An on-line problem is one in which an algorithm must handle a sequence of requests, satisfying each request without knowledge of the future requests. A competitive algorithm is an on-line algorithm whose cost is bounded by the cost of any other algorithm, even the algorithm is an optimal off-line algorithm, multipling a constant. This paper discusses the algorithms used to manipulate the multiple stacks problem, which is one of the on-line problems. We find the optimal off-line algorithm first, then show that the Knuth’s algorithm is not a competitive algorithm, but Garwick’s algorithm is competitive when the number of stacks n is 2. Furthermore, the competitive ratio found here is a low bound if the Garwick’s algorithm is also a competitive algorithm for n > 3.

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Chien, B. C., Chen, R. J., & Yang, W. P. (1992). Competitive analysis of the on-line algorithms for multiple stacks systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 650 LNCS, pp. 78–87). Springer Verlag. https://doi.org/10.1007/3-540-56279-6_60

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