2005 | OriginalPaper | Buchkapitel
Cache-Oblivious Comparison-Based Algorithms on Multisets
verfasst von : Arash Farzan, Paolo Ferragina, Gianni Franceschini, J. Ian Munro
Erschienen in: Algorithms – ESA 2005
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
We study three comparison-based problems related to multisets in the cache-oblivious model: Duplicate elimination, multisorting and finding the most frequent element (the mode). We are interested in minimizing the cache complexity (or number of cache misses) of algorithms for these problems in the context under which cache size and block size are unknown. We give algorithms with cache complexities within a constant factor of the optimal for all the problems. In the case of determining the mode, the optimal algorithm is randomized as the deterministic algorithm differs from the lower bound by a sublogarithmic factor. We can achieve optimality either with a randomized method or if given, along with the input, lg lg of relative frequency of the mode with a constant additive error.