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  2. B-tree - Wikipedia

    en.wikipedia.org/wiki/B-tree

    The term B-tree may refer to a specific design or a general class of designs. In the narrow sense, a B-tree stores keys in its internal nodes but need not store those keys in the records at the leaves. The general class includes variations such as the B+ tree, the B * tree and the B *+ tree.

  3. File:COW B-tree insertion-deletion illustration 1.svg - Wikipedia

    en.wikipedia.org/wiki/File:COW_B-tree_insertion...

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  4. B+ tree - Wikipedia

    en.wikipedia.org/wiki/B+_tree

    A B+ tree consists of a root, internal nodes and leaves. [1] The root may be either a leaf or a node with two or more children. A B+ tree can be viewed as a B-tree in which each node contains only keys (not key–value pairs), and to which an additional level is added at the bottom with linked leaves.

  5. Weight-balanced tree - Wikipedia

    en.wikipedia.org/wiki/Weight-balanced_tree

    A weight-balanced tree is a binary search tree that stores the sizes of subtrees in the nodes. That is, a node has fields key, of any ordered type; value (optional, only for mappings) left, right, pointer to node; size, of type integer. By definition, the size of a leaf (typically represented by a nil pointer) is zero.

  6. 2–3–4 tree - Wikipedia

    en.wikipedia.org/wiki/2–3–4_tree

    The successor can be either the largest key that is smaller than the one to be removed, or the smallest key that is larger than the one to be removed. It is simplest to make adjustments to the tree from the top down such that the leaf node found is not a 2-node. That way, after the swap, there will not be an empty leaf node.

  7. 2–3 tree - Wikipedia

    en.wikipedia.org/wiki/2–3_tree

    In computer science, a 2–3 tree is a tree data structure, where every node with children (internal node) has either two children (2-node) and one data element or three children (3-node) and two data elements. A 2–3 tree is a B-tree of order 3. [1] Nodes on the outside of the tree have no children and one or two data elements.

  8. Optimal binary search tree - Wikipedia

    en.wikipedia.org/wiki/Optimal_binary_search_tree

    Unlike splay trees and tango trees, Iacono's data structure is not known to be implementable in constant time per access sequence step, so even if it is dynamically optimal, it could still be slower than other search tree data structures by a non-constant factor. The interleave lower bound is an asymptotic lower bound on dynamic optimality.

  9. UB-tree - Wikipedia

    en.wikipedia.org/wiki/UB-tree

    The UB-tree, also known as the Universal B-Tree [1], as proposed by Rudolf Bayer and Volker Markl is a balanced tree for storing and efficiently retrieving multidimensional data. Like a B+ tree, information is stored only in the leaves. Records are stored according to Z-order, also called Morton order. Z-order is calculated by bitwise ...