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  2. Binary tree - Wikipedia

    en.wikipedia.org/wiki/Binary_tree

    A balanced binary tree is a binary tree structure in which the left and right subtrees of every node differ in height (the number of edges from the top-most node to the farthest node in a subtree) by no more than 1 (or the skew is no greater than 1). [22]

  3. Tree traversal - Wikipedia

    en.wikipedia.org/wiki/Tree_traversal

    In computer science, tree traversal (also known as tree search and walking the tree) is a form of graph traversal and refers to the process of visiting (e.g. retrieving, updating, or deleting) each node in a tree data structure, exactly once. Such traversals are classified by the order in which the nodes are visited.

  4. 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.

  5. Random binary tree - Wikipedia

    en.wikipedia.org/wiki/Random_binary_tree

    An extended binary tree, showing internal nodes as yellow circles and external nodes as red squares. A binary tree is a rooted tree in which each node may have up to two children (the nodes directly below it in the tree), and those children are designated as being either left or right.

  6. Top tree - Wikipedia

    en.wikipedia.org/wiki/Top_Tree

    A top tree is a data structure based on a binary tree for unrooted dynamic trees that is used mainly for various path-related operations. It allows simple divide-and-conquer algorithms . It has since been augmented to maintain dynamically various properties of a tree such as diameter, center and median.

  7. k-d tree - Wikipedia

    en.wikipedia.org/wiki/K-d_tree

    The k-d tree is a binary tree in which every node is a k-dimensional point. [2] Every non-leaf node can be thought of as implicitly generating a splitting hyperplane that divides the space into two parts, known as half-spaces.

  8. Category:Binary trees - Wikipedia

    en.wikipedia.org/wiki/Category:Binary_trees

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  9. Geometry of binary search trees - Wikipedia

    en.wikipedia.org/.../Geometry_of_binary_search_trees

    The cost of a search is modeled by assuming that the search tree algorithm has a single pointer into a binary search tree, which at the start of each search points to the root of the tree. The algorithm may then perform any sequence of the following operations: Move the pointer to its left child. Move the pointer to its right child.