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  2. B-tree - Wikipedia

    en.wikipedia.org/wiki/B-tree

    To insert a new element, search the tree to find the leaf node where the new element should be added. Insert the new element into that node with the following steps: If the node contains fewer than the maximum allowed number of elements, then there is room for the new element. Insert the new element in the node, keeping the node's elements ordered.

  3. Tree traversal - Wikipedia

    en.wikipedia.org/wiki/Tree_traversal

    Recursively traverse the current node's left subtree. In a binary search tree ordered such that in each node the key is greater than all keys in its left subtree and less than all keys in its right subtree, reverse in-order traversal retrieves the keys in descending sorted order.

  4. Binary search tree - Wikipedia

    en.wikipedia.org/wiki/Binary_search_tree

    Fig. 1: A binary search tree of size 9 and depth 3, with 8 at the root. In computer science, a binary search tree (BST), also called an ordered or sorted binary tree, is a rooted binary tree data structure with the key of each internal node being greater than all the keys in the respective node's left subtree and less than the ones in its right subtree.

  5. Binary tree - Wikipedia

    en.wikipedia.org/wiki/Binary_tree

    The process of inserting a node into a binary tree. Insertion on internal nodes is slightly more complex than on leaf nodes. Say that the internal node is node A and that node B is the child of A. (If the insertion is to insert a right child, then B is the right child of A, and similarly with a left child insertion.)

  6. Skip list - Wikipedia

    en.wikipedia.org/wiki/Skip_list

    function lookupByPositionIndex(i) node ← head i ← i + 1 # don't count the head as a step for level from top to bottom do while i ≥ node.width[level] do # if next step is not too far i ← i - node.width[level] # subtract the current width nodenode.next[level] # traverse forward at the current level repeat repeat return node.value end ...

  7. Trie - Wikipedia

    en.wikipedia.org/wiki/Trie

    The trie occupies less space in comparison with a BST in the case of a large number of short strings, since nodes share common initial string subsequences and store the keys implicitly. [ 12 ] : 358 The terminal node of the tree contains a non-null value, and it is a search hit if the associated value is found in the trie, and search miss if it ...

  8. k-d tree - Wikipedia

    en.wikipedia.org/wiki/K-d_tree

    Points that lie on the splitting plane may appear on either side. The splitting plane of a node goes through the point associated with that node (referred to in the code as node.location). Alternative algorithms for building a balanced k-d tree presort the data prior to building the tree. Then, they maintain the order of the presort during tree ...

  9. 2–3 tree - Wikipedia

    en.wikipedia.org/wiki/2–3_tree

    To insert into a 3-node, more work may be required depending on the location of the 3-node. If the tree consists only of a 3-node, the node is split into three 2-nodes with the appropriate keys and children. Insertion of a number in a 2–3 tree for 3 possible cases. If the target node is a 3-node whose parent is a 2-node, the key is inserted ...