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  2. Behavior tree (artificial intelligence, robotics and control)

    en.wikipedia.org/wiki/Behavior_tree_(artificial...

    A control flow node is used to control the subtasks of which it is composed. A control flow node may be either a selector (fallback) node or a sequence node. They run each of their subtasks in turn. When a subtask is completed and returns its status (success or failure), the control flow node decides whether to execute the next subtask or not.

  3. Glossary of graph theory - Wikipedia

    en.wikipedia.org/wiki/Glossary_of_graph_theory

    1. The height of a node in a rooted tree is the number of edges in a longest path, going away from the root (i.e. its nodes have strictly increasing depth), that starts at that node and ends at a leaf. 2. The height of a rooted tree is the height of its root. That is, the height of a tree is the number of edges in a longest possible path, going ...

  4. m-ary tree - Wikipedia

    en.wikipedia.org/wiki/M-ary_tree

    For an m-ary tree with height h, the upper bound for the maximum number of leaves is . The height h of an m-ary tree does not include the root node, with a tree containing only a root node having a height of 0. The height of a tree is equal to the maximum depth D of any node in the tree.

  5. 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. Conventionally, an empty tree (tree with no nodes, if such ...

  6. Self-balancing binary search tree - Wikipedia

    en.wikipedia.org/wiki/Self-balancing_binary...

    It follows that for any tree with n nodes and height h: + And that implies: ⌈ ⁡ (+) ⌉ ⌊ ⁡ ⌋. In other words, the minimum height of a binary tree with n nodes is log 2 (n), rounded down; that is, ⌊ ⁡ ⌋. [1] However, the simplest algorithms for BST item insertion may yield a tree with height n in rather common situations.

  7. Tree decomposition - Wikipedia

    en.wikipedia.org/wiki/Tree_decomposition

    To define this formally, we represent each tree node as the set of vertices associated with it. Thus, given a graph G = (V, E), a tree decomposition is a pair (X, T), where X = {X 1, …, X n} is a family of subsets (sometimes called bags) of V, and T is a tree whose nodes are the subsets X i, satisfying the following properties: [3]

  8. Ternary tree - Wikipedia

    en.wikipedia.org/wiki/Ternary_tree

    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 height of 2. Sibling - Nodes that share the same parent node. A node p is an ancestor of a node q if it exists on the path from q to the root. The node q is then ...

  9. 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 ...