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  2. AVL tree - Wikipedia

    en.wikipedia.org/wiki/AVL_tree

    In this case, the node always replaces a NULL reference (left or right) of an external node in the tree i.e., the node is either made a left-child or a right-child of the external node. After this insertion, if a tree becomes unbalanced, only ancestors of the newly inserted node are unbalanced.

  3. WAVL tree - Wikipedia

    en.wikipedia.org/wiki/WAVL_tree

    Weak AVL rule: all rank differences are 1 or 2, and all leaf nodes have rank 0. Note that weak AVL tree generalizes the AVL tree by allowing for 2,2 type node. A simple proof shows that a weak AVL tree can be colored in a way that represents a red-black tree. So in a sense, weak AVL tree combines the properties of AVL tree and red-black tree.

  4. Talk:AVL tree - Wikipedia

    en.wikipedia.org/wiki/Talk:AVL_tree

    Deletion from an AVL tree may be carried out by rotating the node to be deleted down into a leaf node, and then pruning off that leaf node directly. Since at most log n nodes are rotated during the rotation into the leaf, and each AVL rotation takes constant time, the deletion process in total takes O(log n) time.

  5. Join-based tree algorithms - Wikipedia

    en.wikipedia.org/wiki/Join-based_tree_algorithms

    Join follows the right spine of t 1 until a node c which is balanced with t 2. At this point a new node with left child c, root k and right child t 2 is created to replace c. The new node may invalidate the balancing invariant. This can be fixed with rotations. The following is the join algorithms on different balancing schemes. The join ...

  6. Min-max heap - Wikipedia

    en.wikipedia.org/wiki/Min-max_heap

    Here is one example for inserting an element to a Min-Max Heap. Say we have the following min-max heap and want to insert a new node with value 6. Initially, node 6 is inserted as a right child of the node 11. 6 is less than 11, therefore it is less than all the nodes on the max levels (41), and we need to check only the min levels (8 and 11).

  7. Weight-balanced tree - Wikipedia

    en.wikipedia.org/wiki/Weight-balanced_tree

    Join follows the right spine of t 1 until a node c which is balanced with t 2. At this point a new node with left child c, root k and right child t 2 is created to replace c. The new node may invalidate the weight-balanced invariant. This can be fixed with a single or a double rotation assuming <

  8. Tree rotation - Wikipedia

    en.wikipedia.org/wiki/Tree_rotation

    The tree rotation renders the inorder traversal of the binary tree invariant. This implies the order of the elements is not affected when a rotation is performed in any part of the tree. Here are the inorder traversals of the trees shown above: Left tree: ((A, P, B), Q, C) Right tree: (A, P, (B, Q, C))

  9. Random binary tree - Wikipedia

    en.wikipedia.org/wiki/Random_binary_tree

    A binary tree that is not in extended form may be converted into an extended binary tree by treating all its nodes as internal, and adding an external node for each missing child of an internal node. In the other direction, an extended binary tree with at least one internal node may be converted back into a non-extended binary tree by removing ...