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  2. Leftist tree - Wikipedia

    en.wikipedia.org/wiki/Leftist_tree

    In addition to the heap property, leftist trees are maintained so the right descendant of each node has the lower s-value. The height-biased leftist tree was invented by Clark Allan Crane. [2] The name comes from the fact that the left subtree is usually taller than the right subtree. A leftist tree is a mergeable heap. When inserting a new ...

  3. Left-child right-sibling binary tree - Wikipedia

    en.wikipedia.org/wiki/Left-child_right-sibling...

    6-ary tree represented as a binary tree. Every multi-way or k-ary tree structure studied in computer science admits a representation as a binary tree, which goes by various names including child-sibling representation, [1] left-child, right-sibling binary tree, [2] doubly chained tree or filial-heir chain. [3]

  4. Tree (abstract data type) - Wikipedia

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

    The height of the root is the height of the tree. The depth of a node is the length of the path to its root (i.e., its root path). Thus the root node has depth zero, leaf nodes have height zero, and a tree with only a single node (hence both a root and leaf) has depth and height zero.

  5. Bottom-up parsing - Wikipedia

    en.wikipedia.org/wiki/Bottom-up_parsing

    Left corner parsing is a hybrid method that works bottom-up along the left edges of each subtree, and top-down on the rest of the parse tree. If a language grammar has multiple rules that may start with the same leftmost symbols but have different endings, then that grammar can be efficiently handled by a deterministic bottom-up parse but ...

  6. Level ancestor problem - Wikipedia

    en.wikipedia.org/wiki/Level_ancestor_problem

    In graph theory and theoretical computer science, the level ancestor problem is the problem of preprocessing a given rooted tree T into a data structure that can determine the ancestor of a given node at a given distance from the root of the tree. More precisely, let T be a rooted tree with n nodes, and let v be an arbitrary node of T.

  7. Two-tree broadcast - Wikipedia

    en.wikipedia.org/wiki/Two-tree_broadcast

    [5] A Fibonacci tree of height h consists of a root that has a Fibonacci tree of height h-1 as its left child and a Fibonacci tree of h-2 as its right child. The pipelined Fibonacci tree broadcast has half the startup latency of the two-tree broadcast, but also only half of the throughput. It is faster for small messages, while the two-tree ...

  8. File : Min-height-biased-leftist-tree-initialization-part1.svg

    en.wikipedia.org/wiki/File:Min-height-biased...

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  9. 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))

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