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  2. Adjacency list - Wikipedia

    en.wikipedia.org/wiki/Adjacency_list

    An adjacency list representation for a graph associates each vertex in the graph with the collection of its neighbouring vertices or edges. There are many variations of this basic idea, differing in the details of how they implement the association between vertices and collections, in how they implement the collections, in whether they include both vertices and edges or only vertices as first ...

  3. Tree (abstract data type) - Wikipedia

    en.wikipedia.org/wiki/Tree_(abstract_data_type)

    Tree structures are often used for mapping the relationships between things, such as: Components and subcomponents which can be visualized in an exploded-view drawing; Subroutine calls used to identify which subroutines in a program call other subroutines non recursively

  4. Graph (abstract data type) - Wikipedia

    en.wikipedia.org/wiki/Graph_(abstract_data_type)

    The time complexity of operations in the adjacency list representation can be improved by storing the sets of adjacent vertices in more efficient data structures, such as hash tables or balanced binary search trees (the latter representation requires that vertices are identified by elements of a linearly ordered set, such as integers or ...

  5. Hierarchical database model - Wikipedia

    en.wikipedia.org/wiki/Hierarchical_database_model

    Using links, records link to other records, and to other records, forming a tree. 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.

  6. Neighbourhood (graph theory) - Wikipedia

    en.wikipedia.org/wiki/Neighbourhood_(graph_theory)

    Neighbourhoods may be used to represent graphs in computer algorithms, via the adjacency list and adjacency matrix representations. Neighbourhoods are also used in the clustering coefficient of a graph, which is a measure of the average density of its neighbourhoods. In addition, many important classes of graphs may be defined by properties of ...

  7. Breadth-first search - Wikipedia

    en.wikipedia.org/wiki/Breadth-first_search

    In the analysis of algorithms, the input to breadth-first search is assumed to be a finite graph, represented as an adjacency list, adjacency matrix, or similar representation. However, in the application of graph traversal methods in artificial intelligence the input may be an implicit representation of an infinite graph. In this context, a ...

  8. List of terms relating to algorithms and data structures

    en.wikipedia.org/wiki/List_of_terms_relating_to...

    abstract syntax tree (AST) (a,b)-tree; accepting state; Ackermann's function; active data structure; acyclic directed graph; adaptive heap sort; adaptive Huffman coding; adaptive k-d tree; adaptive sort; address-calculation sort; adjacency list representation; adjacency matrix representation; adversary; algorithm; algorithm BSTW; algorithm FGK ...

  9. Euler tour technique - Wikipedia

    en.wikipedia.org/wiki/Euler_tour_technique

    Given an undirected tree presented as a set of edges, the Euler tour representation (ETR) can be constructed in parallel as follows: We construct a symmetric list of directed edges: For each undirected edge {u,v} in the tree, insert (u,v) and (v,u) in the edge list. Sort the edge list lexicographically. (Here we assume that the nodes of the ...