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  2. Parent pointer tree - Wikipedia

    en.wikipedia.org/wiki/Parent_pointer_tree

    In computer science, an in-tree or parent pointer tree is an N-ary tree data structure in which each node has a pointer to its parent node, but no pointers to child nodes. When used to implement a set of stacks , the structure is called a spaghetti stack , cactus stack or saguaro stack (after the saguaro , a kind of cactus). [ 1 ]

  3. Binary tree - Wikipedia

    en.wikipedia.org/wiki/Binary_tree

    A binary tree may thus be also called a bifurcating arborescence, [3] a term which appears in some early programming books [4] before the modern computer science terminology prevailed. It is also possible to interpret a binary tree as an undirected, rather than directed graph, in which case a binary tree is an ordered, rooted tree. [5]

  4. Stack (abstract data type) - Wikipedia

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

    A stack can be easily implemented either through an array or a linked list, as it is merely a special case of a list. [19] In either case, what identifies the data structure as a stack is not the implementation but the interface: the user is only allowed to pop or push items onto the array or linked list, with few other helper operations.

  5. Abstract syntax tree - Wikipedia

    en.wikipedia.org/wiki/Abstract_syntax_tree

    An abstract syntax tree (AST) is a data structure used in computer science to represent the structure of a program or code snippet. It is a tree representation of the abstract syntactic structure of text (often source code) written in a formal language. Each node of the tree denotes a construct occurring in the text.

  6. 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.

  7. Tree traversal - Wikipedia

    en.wikipedia.org/wiki/Tree_traversal

    The worst-case complexity is () with as the height of the tree. All the above implementations require stack space proportional to the height of the tree which is a call stack for the recursive and a parent (ancestor) stack for the iterative ones. In a poorly balanced tree, this can be considerable.

  8. Shunting yard algorithm - Wikipedia

    en.wikipedia.org/wiki/Shunting_yard_algorithm

    Push + (or its ID) onto the operator stack; Push 4 to the output queue; After reading the expression, pop the operators off the stack and add them to the output. In this case there is only one, "+". Output: 3 4 + This already shows a couple of rules: All numbers are pushed to the output when they are read.

  9. Binary expression tree - Wikipedia

    en.wikipedia.org/wiki/Binary_expression_tree

    Stack growing from left to right. The next symbol is a '+'. It pops the two pointers to the trees, a new tree is formed, and a pointer to it is pushed onto the stack. Formation of a new tree. Next, c, d, and e are read. A one-node tree is created for each and a pointer to the corresponding tree is pushed onto the stack. Creating a one-node tree