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  2. Minimum spanning tree - Wikipedia

    en.wikipedia.org/wiki/Minimum_spanning_tree

    A planar graph and its minimum spanning tree. Each edge is labeled with its weight, which here is roughly proportional to its length. A minimum spanning tree (MST) or minimum weight spanning tree is a subset of the edges of a connected, edge-weighted undirected graph that connects all the vertices together, without any cycles and with the minimum possible total edge weight. [1]

  3. Kruskal's algorithm - Wikipedia

    en.wikipedia.org/wiki/Kruskal's_algorithm

    Kruskal's algorithm [1] finds a minimum spanning forest of an undirected edge-weighted graph.If the graph is connected, it finds a minimum spanning tree.It is a greedy algorithm that in each step adds to the forest the lowest-weight edge that will not form a cycle. [2]

  4. Spanning tree - Wikipedia

    en.wikipedia.org/wiki/Spanning_tree

    The quality of the tree is measured in the same way as in a graph, using the Euclidean distance between pairs of points as the weight for each edge. Thus, for instance, a Euclidean minimum spanning tree is the same as a graph minimum spanning tree in a complete graph with Euclidean edge weights.

  5. Prim's algorithm - Wikipedia

    en.wikipedia.org/wiki/Prim's_algorithm

    These algorithms find the minimum spanning forest in a possibly disconnected graph; in contrast, the most basic form of Prim's algorithm only finds minimum spanning trees in connected graphs. However, running Prim's algorithm separately for each connected component of the graph, it can also be used to find the minimum spanning forest. [9]

  6. Edmonds' algorithm - Wikipedia

    en.wikipedia.org/wiki/Edmonds'_algorithm

    In graph theory, Edmonds' algorithm or Chu–Liu/Edmonds' algorithm is an algorithm for finding a spanning arborescence of minimum weight (sometimes called an optimum branching). [1] It is the directed analog of the minimum spanning tree problem.

  7. Borůvka's algorithm - Wikipedia

    en.wikipedia.org/wiki/Borůvka's_algorithm

    A faster randomized minimum spanning tree algorithm based in part on Borůvka's algorithm due to Karger, Klein, and Tarjan runs in expected O(E) time. [9] The best known (deterministic) minimum spanning tree algorithm by Bernard Chazelle is also based in part on Borůvka's and runs in O(E α(E,V)) time, where α is the inverse Ackermann ...

  8. k-minimum spanning tree - Wikipedia

    en.wikipedia.org/wiki/K-minimum_spanning_tree

    Therefore, the k-minimum spanning tree must be formed by combining the optimal Steiner tree with enough of the zero-weight edges of the added trees to make the total tree size large enough. [ 2 ] Even for a graph whose edge weights belong to the set {1, 2, 3 }, testing whether the optimal solution value is less than a given threshold is NP ...

  9. Euclidean minimum spanning tree - Wikipedia

    en.wikipedia.org/.../Euclidean_minimum_spanning_tree

    Euclidean minimum spanning tree of 25 random points in the plane. A Euclidean minimum spanning tree of a finite set of points in the Euclidean plane or higher-dimensional Euclidean space connects the points by a system of line segments with the points as endpoints, minimizing the total length of the segments. In it, any two points can reach ...