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If there is a maximum length – which is the case in practice, since 2 32 = 4 GiB of data is a very long string, and 2 64 = 16 EiB of data is larger than any string in practice – then a string with a length is also implicit, taking Z + k space, where k is the number of data to represent the maximum length (e.g., 64 bits).
For a more comprehensive listing of data structures, see List of data structures. The comparisons in this article are organized by abstract data type . As a single concrete data structure may be used to implement many abstract data types, some data structures may appear in multiple comparisons (for example, a hash map can be used to implement ...
This is a list of well-known data structures. For a wider list of terms, see list of terms relating to algorithms and data structures. For a comparison of running times for a subset of this list see comparison of data structures.
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A data structure known as a hash table.. In computer science, a data structure is a data organization and storage format that is usually chosen for efficient access to data. [1] [2] [3] More precisely, a data structure is a collection of data values, the relationships among them, and the functions or operations that can be applied to the data, [4] i.e., it is an algebraic structure about data.
For a graph with E edges and V vertices, Kruskal's algorithm can be shown to run in time O(E log E) time, with simple data structures. This time bound is often written instead as O ( E log V ) , which is equivalent for graphs with no isolated vertices, because for these graphs V /2 ≤ E < V 2 and the logarithms of V and E are again within a ...
Since the total weight does not change, the object's reference count does not need to be updated. Destroying a reference decrements the total weight by the weight of that reference. When the total weight becomes zero, all references have been destroyed.
The HyperLogLog has three main operations: add to add a new element to the set, count to obtain the cardinality of the set and merge to obtain the union of two sets. Some derived operations can be computed using the inclusion–exclusion principle like the cardinality of the intersection or the cardinality of the difference between two HyperLogLogs combining the merge and count operations.