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  2. Hash table - Wikipedia

    en.wikipedia.org/wiki/Hash_table

    In a well-dimensioned hash table, the average time complexity for each lookup is independent of the number of elements stored in the table. Many hash table designs also allow arbitrary insertions and deletions of key–value pairs, at amortized constant average cost per operation. [3] [4] [5] Hashing is an example of a space-time tradeoff.

  3. Linked list - Wikipedia

    en.wikipedia.org/wiki/Linked_list

    For example, one can build a red–black tree or hash table whose elements are references to the linked list nodes. Multiple such indexes can be built on a single list. Multiple such indexes can be built on a single list.

  4. Coalesced hashing - Wikipedia

    en.wikipedia.org/wiki/Coalesced_hashing

    Coalesced Hashing example. For purposes of this example, collision buckets are allocated in increasing order, starting with bucket 0. Coalesced hashing, also called coalesced chaining, is a strategy of collision resolution in a hash table that forms a hybrid of separate chaining and open addressing.

  5. Linear hashing - Wikipedia

    en.wikipedia.org/wiki/Linear_hashing

    For example, in Ellis' implementation, a bucket is a linked list of records. [2] The file allows the key based CRUD operations create or insert, read, update, and delete as well as a scan operations that scans all records, for example to do a database select operation on a non-key attribute. [ 10 ]

  6. 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.

  7. Association list - Wikipedia

    en.wikipedia.org/wiki/Association_list

    The disadvantage of association lists is that the time to search is O(), where n is the length of the list. [3] For large lists, this may be much slower than the times that can be obtained by representing an associative array as a binary search tree or as a hash table.

  8. Associative array - Wikipedia

    en.wikipedia.org/wiki/Associative_array

    However, this introduces extra complexity into the implementation and may cause even worse performance for smaller hash tables, where the time spent inserting into and balancing the tree is greater than the time needed to perform a linear search on all elements of a linked list or similar data structure.

  9. List of data structures - Wikipedia

    en.wikipedia.org/wiki/List_of_data_structures

    Graph (example Tree, Heap) ... Doubly linked list; ... Distributed hash table; Double hashing; Dynamic perfect hash table; Hash array mapped trie;