Titlebook: High-Dimensional Indexing; Transformational App Cui Yu Book 2002 Springer-Verlag Berlin Heidelberg 2002 B-Trees.Data Mining.Database Queryi

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Scienti c Centres within Mathematics and its Applications, CENS-CMA (2005-2009), - der contract MTKD-CT-2004-013909, which ?nanced exchange visits to and from CENS, the Centre for Nonlinear Studies at the Institute of Cybernetics of Tallinn University of Technology in Estonia. Seven contributions de

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ally have long wave periods, and occasionally very large amplitudes. The wave fan is often much wider than for conventional ships, and the leading waves can be highly nonlinear. This is particularly an issue in shallow coastal waters, and for coastal regions not exposed to large sea swell or impact

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e consists of twelve contributions related to the EU Marie Curie Transfer of Knowledge Project Cooperation of Estonian and Norwegian Scienti c Centres within Mathematics and its Applications, CENS-CMA (2005-2009), - der contract MTKD-CT-2004-013909, which ?nanced exchange visits to and from CENS, th

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with suitable restrictions imposed to the transverse deformation of the layer. It turns out that the resulting equations, in the one-dimensional case, are of the same kind as those introduced by Engelbrecht and Pastrone (Proc. Estonian Acad. Sci. Phys. Math. .(1), 12–20 (2003)) for the dynamics of a

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Introduction,stored data according to its content, organizational methods or structures known as indexes are used. While indexes are optional, as data can always be located by sequential scanning, they are the primary means of reducing the volume of data that must be fetched and examined in response to a query.

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High-Dimensional Indexing,mains at about 4 to 5 orders of magnitude. Hence, optimizing the number of disk I/Os remains important. This calls for the use of organizational methods or structures known as indexes to locate data of interest quickly and efficiently. Many indexes have been proposed for multi-dimensional databases