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  2. Lookup table - Wikipedia

    en.wikipedia.org/wiki/Lookup_table

    There are two fundamental limitations on when it is possible to construct a lookup table for a required operation. One is the amount of memory that is available: one cannot construct a lookup table larger than the space available for the table, although it is possible to construct disk-based lookup tables at the expense of lookup time.

  3. Rijndael S-box - Wikipedia

    en.wikipedia.org/wiki/Rijndael_S-box

    The Rijndael S-box is a substitution box (lookup table) used in the Rijndael cipher, on which the Advanced Encryption Standard (AES) cryptographic algorithm is based. [ 1 ] Forward S-box

  4. Lookup table - Wikipedia

    en.wikipedia.org/api/rest_v1/page/pdf/Lookup_table

    caching by creating either static lookup tables (embedded in the program) or dynamic prefetched arrays to contain only the most commonly occurring data items. Despite the introduction of systemwide caching that now automates this process, application level lookup tables can still improve performance for data items that rarely, if ever, change.

  5. Database index - Wikipedia

    en.wikipedia.org/wiki/Database_index

    A database index is a data structure that improves the speed of data retrieval operations on a database table at the cost of additional writes and storage space to maintain the index data structure. Indexes are used to quickly locate data without having to search every row in a database table every time said table is accessed.

  6. Associative entity - Wikipedia

    en.wikipedia.org/wiki/Associative_entity

    An associative (or junction) table maps two or more tables together by referencing the primary keys (PK) of each data table. In effect, it contains a number of foreign keys (FK), each in a many-to-one relationship from the junction table to the individual data tables. The PK of the associative table is typically composed of the FK columns ...

  7. Rijndael MixColumns - Wikipedia

    en.wikipedia.org/wiki/Rijndael_MixColumns

    Commonly, rather than implementing Galois multiplication, Rijndael implementations simply use pre-calculated lookup tables to perform the byte multiplication by 2, 3, 9, 11, 13, and 14. For instance, in C# these tables can be stored in Byte[256] arrays. In order to compute p * 3. The result is obtained this way: result = table_3[(int)p]

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    mail.aol.com

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  9. Microsoft Access - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Access

    Access tables support a variety of standard field types, indices, and referential integrity including cascading updates and deletes. Access also includes a query interface, forms to display and enter data, and reports for printing. The underlying Access database, which contains these objects, is multi-user and handles record-locking.