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  2. Point location - Wikipedia

    en.wikipedia.org/wiki/Point_location

    Each triangle has pointers to the triangles it intersects in the next level of the hierarchy, and the number of pointers is also bounded by a constant. We proceed with the query by finding which triangle contains the query point level by level. [5] The data structure is built in the opposite order, that is, bottom-up.

  3. Range minimum query - Wikipedia

    en.wikipedia.org/wiki/Range_minimum_query

    Range minimum query reduced to the lowest common ancestor problem.. Given an array A[1 … n] of n objects taken from a totally ordered set, such as integers, the range minimum query RMQ A (l,r) =arg min A[k] (with 1 ≤ l ≤ k ≤ r ≤ n) returns the position of the minimal element in the specified sub-array A[l …

  4. 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".

  5. Range query (computer science) - Wikipedia

    en.wikipedia.org/wiki/Range_query_(computer_science)

    Given a function that accepts an array, a range query (,) on an array = [,..,] takes two indices and and returns the result of when applied to the subarray [, …,].For example, for a function that returns the sum of all values in an array, the range query ⁡ (,) returns the sum of all values in the range [,].

  6. Approximate membership query filter - Wikipedia

    en.wikipedia.org/wiki/Approximate_Membership...

    Approximate membership query filters (hereafter, AMQ filters) comprise a group of space-efficient probabilistic data structures that support approximate membership queries. An approximate membership query answers whether an element is in a set or not with a false positive rate of ϵ {\displaystyle \epsilon } .

  7. Level ancestor problem - Wikipedia

    en.wikipedia.org/wiki/Level_ancestor_problem

    The level ancestor query LA(v,d) requests the ancestor of node v at depth d, where the depth of a node v in a tree is the number of edges on the shortest path from the root of the tree to node v. It is possible to solve this problem in constant time per query, after a preprocessing algorithm that takes O( n ) and that builds a data structure ...

  8. Range tree - Wikipedia

    en.wikipedia.org/wiki/Range_tree

    A 1-dimensional range tree on a set of n points is a binary search tree, which can be constructed in (⁡) time. Range trees in higher dimensions are constructed recursively by constructing a balanced binary search tree on the first coordinate of the points, and then, for each vertex v in this tree, constructing a (d−1)-dimensional range tree on the points contained in the subtree of v.

  9. Access query language - Wikipedia

    en.wikipedia.org/wiki/Access_query_language

    Access, the successor to ENGLISH, is an English-like query language used in the Pick operating system.. The original name ENGLISH is something of a misnomer, as PICK's flexible dictionary structure meant that file and attribute names could be given aliases in any natural language.