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  2. Nested set model - Wikipedia

    en.wikipedia.org/wiki/Nested_set_model

    The nested set model is a technique for representing nested set collections (also known as trees or hierarchies) in relational databases.. It is based on Nested Intervals, that "are immune to hierarchy reorganization problem, and allow answering ancestor path hierarchical queries algorithmically — without accessing the stored hierarchy relation".

  3. Hierarchical and recursive queries in SQL - Wikipedia

    en.wikipedia.org/wiki/Hierarchical_and_recursive...

    A hierarchical query is a type of SQL query that handles hierarchical model data. They are special cases of more general recursive fixpoint queries, which compute transitive closures. In standard SQL:1999 hierarchical queries are implemented by way of recursive common table expressions (CTEs).

  4. Hierarchical database model - Wikipedia

    en.wikipedia.org/wiki/Hierarchical_database_model

    An example is a "customer" record that has links to that customer's "orders", which in turn link to "line_items". The hierarchical database model mandates that each child record has only one parent, whereas each parent record can have zero or more child records. The network model extends the hierarchical by allowing multiple parents and ...

  5. Hidden linear function problem - Wikipedia

    en.wikipedia.org/wiki/Hidden_linear_function_problem

    The hidden linear function problem, is a search problem that generalizes the Bernstein–Vazirani problem. [1] In the Bernstein–Vazirani problem, the hidden function is implicitly specified in an oracle; while in the 2D hidden linear function problem (2D HLF), the hidden function is explicitly specified by a matrix and a binary vector. 2D HLF can be solved exactly by a constant-depth quantum ...

  6. Linear search problem - Wikipedia

    en.wikipedia.org/wiki/Linear_search_problem

    This problem is usually called the linear search problem and a search plan is called a trajectory. The linear search problem for a general probability distribution is unsolved. [ 5 ] However, there exists a dynamic programming algorithm that produces a solution for any discrete distribution [ 6 ] and also an approximate solution, for any ...

  7. Search algorithm - Wikipedia

    en.wikipedia.org/wiki/Search_algorithm

    Specific applications of search algorithms include: Problems in combinatorial optimization, such as: . The vehicle routing problem, a form of shortest path problem; The knapsack problem: Given a set of items, each with a weight and a value, determine the number of each item to include in a collection so that the total weight is less than or equal to a given limit and the total value is as ...

  8. Simon's problem - Wikipedia

    en.wikipedia.org/wiki/Simon's_problem

    Simon's problem considers access to a function : {,} {,}, as implemented by a black box or an oracle. This function is promised to be either a one-to-one function, or a two-to-one function; if is two-to-one, it is furthermore promised that two inputs and ′ evaluate to the same value if and only if and ′ differ in a fixed set of bits. I.e.,

  9. Regular path query - Wikipedia

    en.wikipedia.org/wiki/Regular_path_query

    A graph database consists of a directed graph whose edges carry a label. A regular path query is just a regular expression over the set of labels. For instance, in a graph database where vertices represent users and there is an edge label "parent" for edges from a parent to a child, the regular path query would select pairs of a node x and a descendant y of x, with a path from x to y of ...