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  2. Ordered graph - Wikipedia

    en.wikipedia.org/wiki/Ordered_graph

    The induced width of an ordered graph is the width of its induced graph. [2] Given an ordered graph, its induced graph is another ordered graph obtained by joining some pairs of nodes that are both parents of another node. In particular, nodes are considered in turn according to the ordering, from last to first. For each node, if two of its ...

  3. Widest path problem - Wikipedia

    en.wikipedia.org/wiki/Widest_path_problem

    In this graph, the widest path from Maldon to Feering has bandwidth 29, and passes through Clacton, Tiptree, Harwich, and Blaxhall. In graph algorithms, the widest path problem is the problem of finding a path between two designated vertices in a weighted graph, maximizing the weight of the minimum-weight edge in the path.

  4. Courcelle's theorem - Wikipedia

    en.wikipedia.org/wiki/Courcelle's_theorem

    For this variation of graph logic, Courcelle's theorem can be extended from treewidth to clique-width: for every fixed MSO 1 property , and every fixed bound on the clique-width of a graph, there is a linear-time algorithm for testing whether a graph of clique-width at most has property . [8]

  5. Force-directed graph drawing - Wikipedia

    en.wikipedia.org/wiki/Force-directed_graph_drawing

    Force-directed graph drawing algorithms assign forces among the set of edges and the set of nodes of a graph drawing.Typically, spring-like attractive forces based on Hooke's law are used to attract pairs of endpoints of the graph's edges towards each other, while simultaneously repulsive forces like those of electrically charged particles based on Coulomb's law are used to separate all pairs ...

  6. Maximum cut - Wikipedia

    en.wikipedia.org/wiki/Maximum_cut

    Equivalently, one wants a bipartite subgraph of the graph with as many edges as possible. There is a more general version of the problem called weighted max-cut, where each edge is associated with a real number, its weight, and the objective is to maximize the total weight of the edges between S and its complement rather than the number of the ...

  7. Minimum k-cut - Wikipedia

    en.wikipedia.org/wiki/Minimum_k-cut

    In mathematics, the minimum k-cut is a combinatorial optimization problem that requires finding a set of edges whose removal would partition the graph to at least k connected components. These edges are referred to as k-cut. The goal is to find the minimum-weight k-cut.

  8. A Visual Guide to Monarch Butterflies - AOL

    www.aol.com/visual-guide-monarch-butterflies...

    If you’re looking to take a deep dive into the monarch butterfly, be sure to check out our free monarch butterfly lesson plan, which can be downloaded and used to guide teaching or simply to ...

  9. 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 ...