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  2. 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.

  3. Tree (abstract data type) - Wikipedia

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

    Search trees store data in a way that makes an efficient search algorithm possible via tree traversal. A binary search tree is a type of binary tree; Representing sorted lists of data; Computer-generated imagery: Space partitioning, including binary space partitioning; Digital compositing; Storing Barnes–Hut trees used to simulate galaxies ...

  4. Threaded binary tree - Wikipedia

    en.wikipedia.org/wiki/Threaded_binary_tree

    "A binary tree is threaded by making all right child pointers that would normally be null point to the in-order successor of the node (if it exists), and all left child pointers that would normally be null point to the in-order predecessor of the node." [1] This assumes the traversal order is the same as in-order traversal of the tree. However ...

  5. Search tree - Wikipedia

    en.wikipedia.org/wiki/Search_tree

    In order for a tree to function as a search tree, the key for each node must be greater than any keys in subtrees on the left, and less than any keys in subtrees on the right. [1] The advantage of search trees is their efficient search time given the tree is reasonably balanced, which is to say the leaves at either end are of comparable depths ...

  6. Depth-first search - Wikipedia

    en.wikipedia.org/wiki/Depth-first_search

    Depth-first search (DFS) is an algorithm for traversing or searching tree or graph data structures. The algorithm starts at the root node (selecting some arbitrary node as the root node in the case of a graph) and explores as far as possible along each branch before backtracking.

  7. Zipper (data structure) - Wikipedia

    en.wikipedia.org/wiki/Zipper_(data_structure)

    The generic zipper [6] [7] [8] is a technique to achieve the same goal as the conventional zipper by capturing the state of the traversal in a continuation while visiting each node. (The Haskell code given in the reference uses generic programming to generate a traversal function for any data structure, but this is optional – any suitable ...

  8. m-ary tree - Wikipedia

    en.wikipedia.org/wiki/M-ary_tree

    A full m-ary tree is an m-ary tree where within each level every node has 0 or m children. A complete m -ary tree [ 3 ] [ 4 ] (or, less commonly, a perfect m -ary tree [ 5 ] ) is a full m -ary tree in which all leaf nodes are at the same depth.

  9. Graph traversal - Wikipedia

    en.wikipedia.org/wiki/Graph_traversal

    A universal traversal sequence is a sequence of instructions comprising a graph traversal for any regular graph with a set number of vertices and for any starting vertex. A probabilistic proof was used by Aleliunas et al. to show that there exists a universal traversal sequence with number of instructions proportional to O ( n 5 ) for any ...