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2. K-D heap - Wikipedia

   en.wikipedia.org/wiki/K-D_Heap

   A K-D heap [1] is a data structure in computer science which implements a multidimensional priority queue without requiring additional space. It is a generalization of the Heap . [ 2 ] It allows for efficient insertion, query of the minimum element, and deletion of the minimum element in any of the k dimensions, and therefore includes the ...

3. List of data structures - Wikipedia

   en.wikipedia.org/wiki/List_of_data_structures

   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.

4. Data structure - Wikipedia

   en.wikipedia.org/wiki/Data_structure

   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.

5. Van Emde Boas tree - Wikipedia

   en.wikipedia.org/wiki/Van_Emde_Boas_tree

   Fusion trees are another type of tree data structure that implements an associative array on w-bit integers on a finite universe. They use word-level parallelism and bit manipulation techniques to achieve O(log w n) time for predecessor/successor queries and updates, where w is the word size. [5]

6. Double-ended priority queue - Wikipedia

   en.wikipedia.org/wiki/Double-ended_priority_queue

   In computer science, a double-ended priority queue (DEPQ) [1] or double-ended heap [2] is a data structure similar to a priority queue or heap, but allows for efficient removal of both the maximum and minimum, according to some ordering on the keys (items) stored in the structure. Every element in a DEPQ has a priority or value.

7. Trie - Wikipedia

   en.wikipedia.org/wiki/Trie

   Trie data structures are commonly used in predictive text or autocomplete dictionaries, and approximate matching algorithms. [11] Tries enable faster searches, occupy less space, especially when the set contains large number of short strings, thus used in spell checking , hyphenation applications and longest prefix match algorithms.

8. X-fast trie - Wikipedia

   en.wikipedia.org/wiki/X-fast_trie

   In computer science, an x-fast trie is a data structure for storing integers from a bounded domain. It supports exact and predecessor or successor queries in time O(log log M), using O(n log M) space, where n is the number of stored values and M is the maximum value in the domain.

9. Fenwick tree - Wikipedia

   en.wikipedia.org/wiki/Fenwick_tree

   A Fenwick tree or binary indexed tree (BIT) is a data structure that stores an array of values and can efficiently compute prefix sums of the values and update the values. It also supports an efficient rank-search operation for finding the longest prefix whose sum is no more than a specified value.