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  2. Tree (graph theory) - Wikipedia

    en.wikipedia.org/wiki/Tree_(graph_theory)

    The depth of a vertex is the length of the path to its root (root path). The depth of a tree is the maximum depth of any vertex. Depth is commonly needed in the manipulation of the various self-balancing trees, AVL trees in particular. The root has depth zero, leaves have height zero, and a tree with only a single vertex (hence both a root and ...

  3. Tree-depth - Wikipedia

    en.wikipedia.org/wiki/Tree-depth

    In graph theory, the tree-depth of a connected undirected graph is a numerical invariant of , the minimum height of a Trémaux tree for a supergraph of .This invariant and its close relatives have gone under many different names in the literature, including vertex ranking number, ordered chromatic number, and minimum elimination tree height; it is also closely related to the cycle rank of ...

  4. Tree (abstract data type) - Wikipedia

    en.wikipedia.org/wiki/Tree_(abstract_data_type)

    The height of the root is the height of the tree. The depth of a node is the length of the path to its root (i.e., its root path). Thus the root node has depth zero, leaf nodes have height zero, and a tree with only a single node (hence both a root and leaf) has depth and height zero.

  5. Decision tree - Wikipedia

    en.wikipedia.org/wiki/Decision_tree

    The M1 mutation will be the root of our phi function tree and M4 will be the root of our information gain tree. You can observe the root nodes below Figure 1: The left node is the root node of the tree we are building using the phi function to split the nodes. The right node is the root node of the tree we are building using information gain to ...

  6. Tree traversal - Wikipedia

    en.wikipedia.org/wiki/Tree_traversal

    For infinite trees, simple algorithms often fail this. For example, given a binary tree of infinite depth, a depth-first search will go down one side (by convention the left side) of the tree, never visiting the rest, and indeed an in-order or post-order traversal will never visit any nodes, as it has not reached a leaf (and in fact never will ...

  7. Ternary tree - Wikipedia

    en.wikipedia.org/wiki/Ternary_tree

    Depth - Length of the path from the root to the node. The set of all nodes at a given depth is sometimes called a level of the tree. The root node is at depth zero. Height - Length of the path from the root to the deepest node in the tree. A (rooted) tree with only one node (the root) has a height of zero. In the example diagram, the tree has ...

  8. Seek the correct planting depth to prevent root flare - AOL

    www.aol.com/news/seek-correct-planting-depth...

    If you’re planning to plant trees or shrubs this fall, the most important thing you can do to ensure their success is not to plant them too deeply. “Roots need to be just underneath the ...

  9. Rooted graph - Wikipedia

    en.wikipedia.org/wiki/Rooted_graph

    In mathematics, and, in particular, in graph theory, a rooted graph is a graph in which one vertex has been distinguished as the root. [1] [2] Both directed and undirected versions of rooted graphs have been studied, and there are also variant definitions that allow multiple roots. Examples of rooted graphs with some variants.