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  2. 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.

  3. 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 ...

  4. Kosaraju's algorithm - Wikipedia

    en.wikipedia.org/wiki/Kosaraju's_algorithm

    Provided the graph is described using an adjacency list, Kosaraju's algorithm performs two complete traversals of the graph and so runs in Θ(V+E) (linear) time, which is asymptotically optimal because there is a matching lower bound (any algorithm must examine all vertices and edges).

  5. Implicit graph - Wikipedia

    en.wikipedia.org/wiki/Implicit_graph

    [8] [9] Intersection graphs An interval graph is the intersection graph of a set of line segments in the real line. It may be given an adjacency labeling scheme in which the points that are endpoints of line segments are numbered from 1 to 2n and each vertex of the graph is represented by the numbers of the two endpoints of its corresponding ...

  6. Tarjan's strongly connected components algorithm - Wikipedia

    en.wikipedia.org/wiki/Tarjan's_strongly_connected...

    The basic idea of the algorithm is this: a depth-first search (DFS) begins from an arbitrary start node (and subsequent depth-first searches are conducted on any nodes that have not yet been found). As usual with depth-first search, the search visits every node of the graph exactly once, refusing to revisit any node that has already been visited.

  7. External memory graph traversal - Wikipedia

    en.wikipedia.org/wiki/External_memory_graph...

    For external memory algorithms the external memory model by Aggarwal and Vitter [1] is used for analysis. A machine is specified by three parameters: M, B and D.M is the size of the internal memory, B is the block size of a disk and D is the number of parallel disks.

  8. Doctors Share The Best Thanksgiving Foods If You’re On Ozempic

    www.aol.com/doctors-share-best-thanksgiving...

    In general—meaning, not just on Thanksgiving—protein-rich foods are a good option when you're on GLP-1 receptor agonist medications, says Kunal Shah, MD, an assistant professor in the division ...

  9. Reachability - Wikipedia

    en.wikipedia.org/wiki/Reachability

    For each vertex we store the list of adjacencies (out-edges) in order of the planarity of the graph (for example, clockwise with respect to the graph's embedding). We then initialize a counter = + and begin a Depth-First Traversal from . During this traversal, the adjacency list of each vertex is visited from left-to-right as needed.

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