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  2. Hash table - Wikipedia

    en.wikipedia.org/wiki/Hash_table

    Java programming language includes the HashSet, HashMap, LinkedHashSet, and LinkedHashMap generic collections. [54] Python's built-in dict implements a hash table in the form of a type. [55] Ruby's built-in Hash uses the open addressing model from Ruby 2.4 onwards. [56] Rust programming language includes HashMap, HashSet as part of the Rust ...

  3. Hash function - Wikipedia

    en.wikipedia.org/wiki/Hash_function

    A mid-squares hash code is produced by squaring the input and extracting an appropriate number of middle digits or bits. For example, if the input is 123 456 789 and the hash table size 10 000, then squaring the key produces 15 241 578 750 190 521, so the hash code is taken as the middle 4 digits of the 17-digit number (ignoring the high digit ...

  4. Unordered associative containers (C++) - Wikipedia

    en.wikipedia.org/wiki/Unordered_associative...

    In the programming language C++, unordered associative containers are a group of class templates in the C++ Standard Library that implement hash table variants. Being templates, they can be used to store arbitrary elements, such as integers or custom classes.

  5. Associative array - Wikipedia

    en.wikipedia.org/wiki/Associative_array

    This technique is simple and fast, with each dictionary operation taking constant time. However, the space requirement for this structure is the size of the entire keyspace, making it impractical unless the keyspace is small. [5] The two major approaches for implementing dictionaries are a hash table or a search tree. [3] [4] [5] [6]

  6. Perfect hash function - Wikipedia

    en.wikipedia.org/wiki/Perfect_hash_function

    The representation size is in O(n), and depends on the achieved range. For example, with m = 1.23n Belazzougui, Botelho & Dietzfelbinger (2009) achieved a representation size between 3.03 bits/key and 1.40 bits/key for their given example set of 10 million entries, with lower values needing a higher computation time. The space lower bound in ...

  7. Bloom filter - Wikipedia

    en.wikipedia.org/wiki/Bloom_filter

    For example, a hash area only 18% of the size needed by an ideal error-free hash still eliminates 87% of the disk accesses. [1] More generally, fewer than 10 bits per element are required for a 1% false positive probability, independent of the size or number of elements in the set. [2]

  8. Quadratic probing - Wikipedia

    en.wikipedia.org/wiki/Quadratic_probing

    Let h(k) be a hash function that maps an element k to an integer in [0, m−1], where m is the size of the table. Let the i th probe position for a value k be given by the function (,) = + + where c 2 ≠ 0 (If c 2 = 0, then h(k,i) degrades to a linear probe

  9. Cuckoo hashing - Wikipedia

    en.wikipedia.org/wiki/Cuckoo_hashing

    Cuckoo hashing is a form of open addressing in which each non-empty cell of a hash table contains a key or key–value pair.A hash function is used to determine the location for each key, and its presence in the table (or the value associated with it) can be found by examining that cell of the table.