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  2. Binary tree - Wikipedia

    en.wikipedia.org/wiki/Binary_tree

    A perfect binary tree is a binary tree in which all interior nodes have two children and all leaves have the same depth or same level (the level of a node defined as the number of edges or links from the root node to a node). [18] A perfect binary tree is a full binary tree.

  3. Tree traversal - Wikipedia

    en.wikipedia.org/wiki/Tree_traversal

    In depth-first search (DFS), the search tree is deepened as much as possible before going to the next sibling. To traverse binary trees with depth-first search, perform the following operations at each node: [3] [4] If the current node is empty then return. Execute the following three operations in a certain order: [5] N: Visit the current node.

  4. Trie - Wikipedia

    en.wikipedia.org/wiki/Trie

    Patricia trees are a particular implementation of the compressed binary trie that uses the binary encoding of the string keys in its representation. [ 23 ] [ 15 ] : 140 Every node in a Patricia tree contains an index, known as a "skip number", that stores the node's branching index to avoid empty subtrees during traversal.

  5. 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 ...

  6. Self-balancing binary search tree - Wikipedia

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

    Most operations on a binary search tree (BST) take time directly proportional to the height of the tree, so it is desirable to keep the height small. A binary tree with height h can contain at most 2 0 +2 1 +···+2 h = 2 h+1 −1 nodes. It follows that for any tree with n nodes and height h: + And that implies:

  7. Dichotomic search - Wikipedia

    en.wikipedia.org/wiki/Dichotomic_search

    Abstractly, a dichotomic search can be viewed as following edges of an implicit binary tree structure until it reaches a leaf (a goal or final state). This creates a theoretical tradeoff between the number of possible states and the running time: given k comparisons, the algorithm can only reach O(2 k ) possible states and/or possible goals.

  8. k-d tree - Wikipedia

    en.wikipedia.org/wiki/K-d_tree

    Since k-d trees divide the range of a domain in half at each level of the tree, they are useful for performing range searches. Analyses of binary search trees has found that the worst case time for range search in a k-dimensional k-d tree containing n nodes is given by the following equation. [13]

  9. Left-child right-sibling binary tree - Wikipedia

    en.wikipedia.org/wiki/Left-child_right-sibling...

    6-ary tree represented as a binary tree. Every multi-way or k-ary tree structure studied in computer science admits a representation as a binary tree, which goes by various names including child-sibling representation, [1] left-child, right-sibling binary tree, [2] doubly chained tree or filial-heir chain.