Data structures and graph theory

  • Graph techniques

    A data structure is a specialized format for organizing, processing, retrieving and storing data.
    There are several basic and advanced types of data structures, all designed to arrange data to suit a specific purpose.
    Data structures make it easy for users to access and work with the data they need in appropriate ways..

  • How is graph theory used in data science?

    Graph Theory can be used to represent and analyze a wide variety of network information and has numerous modern applications within Data Science.
    It has also been been fundamental to the development of numerous foundational algorithms from Google Page Rank to Netflix Content Recommendation..

  • How is graph theory used in programming?

    Graph theory also has applications in finding optimal paths in software systems.
    For instance, in a routing system that needs to find the shortest path between two locations, developers can represent the locations as nodes and the roads connecting them as edges in a graph..

  • Types of graph traversals

    A graph is like a tree data structure is a collection of objects or entities known as nodes that are connected to each other through a set of edges.
    A tree follows some rule that determines the relationship between the nodes, whereas graph does not follow any rule that defines the relationship among the nodes..

  • Types of graph traversals

    In mathematics, graph theory is the study of graphs, which are mathematical structures used to model pairwise relations between objects.
    A graph in this context is made up of vertices (also called nodes or points) which are connected by edges (also called links or lines)..

  • What is data structure theory?

    A data structure is a specialized format for organizing, processing, retrieving and storing data.
    There are several basic and advanced types of data structures, all designed to arrange data to suit a specific purpose.
    Data structures make it easy for users to access and work with the data they need in appropriate ways..

  • What is the difference between graph and data structure?

    A graph is like a tree data structure is a collection of objects or entities known as nodes that are connected to each other through a set of edges.
    A tree follows some rule that determines the relationship between the nodes, whereas graph does not follow any rule that defines the relationship among the nodes..

  • Which data structure to use for graph?

    A graph can be represented using 3 data structures- adjacency matrix, adjacency list and adjacency set..

Graphs in data structures are non-linear data structures made up of a finite number of nodes or vertices and the edges that connect them. Graphs in data structures are used to address real-world problems in which it represents the problem area as a network like telephone networks, circuit networks, and social networks.
Graphs in data structures are non-linear data structures made up of a finite number of nodes or vertices and the edges that connect them. Graphs in data structures are used to address real-world problems in which it represents the problem area as a network like telephone networks, circuit networks, and social networks.

This is a list of graph theory topics, by Wikipedia page.
Data structures and graph theory
Data structures and graph theory

Edge that connects a node to itself

In graph theory, a loop is an edge that connects a vertex to itself.
A simple graph contains no loops.

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