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  2. Graph (abstract data type) - Wikipedia

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

    UML class diagram of a Graph (abstract data type) The basic operations provided by a graph data structure G usually include: [1] adjacent(G, x, y): tests whether there is an edge from the vertex x to the vertex y; neighbors(G, x): lists all vertices y such that there is an edge from the vertex x to the vertex y;

  3. Depth-first search - Wikipedia

    en.wikipedia.org/wiki/Depth-first_search

    Depth-first search (DFS) is an algorithm for traversing or searching tree or graph data structures. The algorithm starts at the root node (selecting some arbitrary node as the root node in the case of a graph) and explores as far as possible along each branch before backtracking.

  4. Graph theory - Wikipedia

    en.wikipedia.org/wiki/Graph_theory

    The tabular representation lends itself well to computational applications. There are different ways to store graphs in a computer system. The data structure used depends on both the graph structure and the algorithm used for manipulating the graph. Theoretically one can distinguish between list and matrix structures but in concrete ...

  5. Category:Graph data structures - Wikipedia

    en.wikipedia.org/wiki/Category:Graph_data_structures

    This page was last edited on 4 December 2018, at 22:32 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may apply.

  6. Dynamic connectivity - Wikipedia

    en.wikipedia.org/wiki/Dynamic_connectivity

    Given a graph G(V,E) and a subset T⊆V, define cutset(T) as the set of edges that connect T with V\T. The cutset structure is a data structure that, without keeping the entire graph in memory, can quickly find an edge in the cutset, if such an edge exists. [7] Start by giving a number to each vertex.

  7. Adjacency matrix - Wikipedia

    en.wikipedia.org/wiki/Adjacency_matrix

    Fluffschack — an educational Java web start game demonstrating the relationship between adjacency matrices and graphs. Open Data Structures - Section 12.1 - AdjacencyMatrix: Representing a Graph by a Matrix, Pat Morin; Café math : Adjacency Matrices of Graphs : Application of the adjacency matrices to the computation generating series of walks.

  8. GraphML - Wikipedia

    en.wikipedia.org/wiki/GraphML

    The GraphML file format results from the joint effort of the graph drawing community to define a common format for exchanging graph structure data. It uses an XML-based syntax and supports the entire range of possible graph structure constellations including directed, undirected, mixed graphs, hypergraphs, and application-specific attributes. [1]

  9. SPQR tree - Wikipedia

    en.wikipedia.org/wiki/SPQR_tree

    In graph theory, a branch of mathematics, the triconnected components of a biconnected graph are a system of smaller graphs that describe all of the 2-vertex cuts in the graph. An SPQR tree is a tree data structure used in computer science , and more specifically graph algorithms , to represent the triconnected components of a graph.

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