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Mindmap

Graph data structure

Elizabeth García Glz Spanisch

Graph data structure

Inhalt der Mindmap

Graph data structure

  1. Definition

    • Set of vertices or nodes V and a set of arcs. A (1, 2).
  2. It is represented with the pair

    • G = (V, A)
  3. Basic Elements

    • Vertices
      • Nodes that store information
    • Bows
      • Represents the relationship between node information
  4. Characteristics of graphs

    • Cycle
      • Simple closed road of length 3 or greater
    • Path
      • Sequence of n vertices that must be followed to get from the origin node to the destination node. P = (v1, ..., vn)
    • Loop
      • Edge that connects a node to itself. a = (v, v)
    • Isolated node
      • It has no edges, that is, it has grade 0, Degree (v) = 0
    • Related graph
      • If there is a simple path between two of your nodes any
    • Grafo tree
      • Graphic connected without cycles
    • Grade
      • Number of edges that contain a v (node)
    • Full graph
      • If each vertex v is adjacent to all the other than G. N vertices will have n (n-1) / 2 edges
    • Label tag
      • If your edges are assigned a value called weight or length
    • Multigram
      • If two of its vertices are connected by two edges, they receive the name of multiple or parallel edges
    • Closed way
      • If the first and last node are equal
    • Weight factor
      • Number that is assigned to the weighted edges
    • Simple way
      • If all your nodes are different, with except that the first and the last if They may be
  5. Classification of graphs

    • Un Directed Graphs
      • The one whose relation between vertices is represented with a continuous line
      • It does not have an address
    • Directed Graphs
      • The one whose relation between vertices is represented with an arrow.
      • It has an address

Bilder und Dateien der Mindmap

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Beschreibung
Mindmap am Graph data structure, erstellt von Elizabeth García Glz am 17/05/2019.
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