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There are two main data structures which are the node tree and the hash table.
Furthermore, as Andorra-I shares its main data structures with several PLP systems, we conclude that the methodology and techniques used in our work can greatly benefit these other PLP systems.
The main data structures are defined as Java interfaces for which default implementations are provided.
In data-intensive signal processing applications, the main data structures from the behavioral specification are multi-dimensional arrays.
The Model maintains two main data structures that allow the identification of elements to be validated: a list of marked elements (marked_elements) and a list of affected elements (affected_elements).
The main data structures used by the algorithm are: 2-D "cost" array C : each element C[i, j] (0≤i
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The main data
The main data structure is an array having the numbers of rows and columns equal to the size (in words) of the graph of memory accesses and, respectively, the size of the SPM.
The next section describes the algorithm SUFPREF that computes these equations using the overlap graph as a main data structure.
Basic notions on word overlaps are introduced, that lead to an overlap graph that is the main data structure to be used.
Space complexity The data stored consist of input data, temporary data used at the preprocessing step, the main data structure OvGraph and the working data unrelated to the OvGraph.
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