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  2. List of data structures - Wikipedia

    en.wikipedia.org/wiki/List_of_data_structures

    This order is usually determined by the order in which the elements are added to the structure, but the elements can be rearranged in some contexts, such as sorting a list. For a structure that isn't ordered, on the other hand, no assumptions can be made about the ordering of the elements (although a physical implementation of these data types ...

  3. Feature hashing - Wikipedia

    en.wikipedia.org/wiki/Feature_hashing

    In machine learning, feature hashing, also known as the hashing trick (by analogy to the kernel trick), is a fast and space-efficient way of vectorizing features, i.e. turning arbitrary features into indices in a vector or matrix. [1] [2] It works by applying a hash function to the features and using their hash values as indices directly (after ...

  4. Associative array - Wikipedia

    en.wikipedia.org/wiki/Associative_array

    The basic idea behind a hash table is that accessing an element of an array via its index is a simple, constant-time operation. Therefore, the average overhead of an operation for a hash table is only the computation of the key's hash, combined with accessing the corresponding bucket within the array.

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

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

    Due to their usefulness, they were later included in several other implementations of the C++ Standard Library (e.g., the GNU Compiler Collection's (GCC) libstdc++ [2] and the Visual C++ (MSVC) standard library). The hash_* class templates were proposed into C++ Technical Report 1 (C++ TR1) and were accepted under names unordered_*. [3] Later ...

  6. Universal hashing - Wikipedia

    en.wikipedia.org/wiki/Universal_hashing

    For any fixed set of keys, using a universal family guarantees the following properties.. For any fixed in , the expected number of keys in the bin () is /.When implementing hash tables by chaining, this number is proportional to the expected running time of an operation involving the key (for example a query, insertion or deletion).

  7. Linear probing - Wikipedia

    en.wikipedia.org/wiki/Linear_probing

    Linear probing is a component of open addressing schemes for using a hash table to solve the dictionary problem.In the dictionary problem, a data structure should maintain a collection of key–value pairs subject to operations that insert or delete pairs from the collection or that search for the value associated with a given key.

  8. Comparison of programming languages (associative array)

    en.wikipedia.org/wiki/Comparison_of_programming...

    The get method is used to access a key; for example, ... A hash literal is a key-value list, ... Python 2.7 and 3.x also support dict comprehensions ...

  9. Gather/scatter (vector addressing) - Wikipedia

    en.wikipedia.org/wiki/Gather/scatter_(vector...

    Gather/scatter is a type of memory addressing that at once collects (gathers) from, or stores (scatters) data to, multiple, arbitrary indices. Examples of its use include sparse linear algebra operations, [1] sorting algorithms, fast Fourier transforms, [2] and some computational graph theory problems. [3]