Search results
Results from the WOW.Com Content Network
A threaded tree, with the special threading links shown by dashed arrows In computing , a threaded binary tree is a binary tree variant that facilitates traversal in a particular order. An entire binary search tree can be easily traversed in order of the main key, but given only a pointer to a node , finding the node which comes next may be ...
This is a list of well-known data structures. For a wider list of terms, see list of terms relating to algorithms and data structures. For a comparison of running times for a subset of this list see comparison of data structures.
In computer science, tree traversal (also known as tree search and walking the tree) is a form of graph traversal and refers to the process of visiting (e.g. retrieving, updating, or deleting) each node in a tree data structure, exactly once. Such traversals are classified by the order in which the nodes are visited.
Pages in category "Articles with example Python (programming language) code" The following 200 pages are in this category, out of approximately 201 total. This list may not reflect recent changes .
the empty set is an extended binary tree; if T 1 and T 2 are extended binary trees, then denote by T 1 • T 2 the extended binary tree obtained by adding a root r connected to the left to T 1 and to the right to T 2 [clarification needed where did the 'r' go in the 'T 1 • T 2 ' symbol] by adding edges when these sub-trees are non-empty.
Threaded binary tree; Top tree; Treap; Tree rotation; V. Vantage-point tree; W. WAVL tree; Z. Zip tree This page was last edited on 13 January 2018, at 21:25 (UTC). ...
1-threaded binary tree or 2-virtual class or 3- self referential structures: bhavikp19 Bhavikp19 08:40, 29 July 2011 (UTC) Yes: abhijit 06:34, 2 August 2011 (UTC) Threaded_binary_tree Go ahead. 111003047: polymorphism (computer science) RahulWaghamare 09:17, 30 July 2011 (UTC) Yes: abhijit 06:47, 1 August 2011 (UTC) 111008078
[3] Abstractly, a dichotomic search can be viewed as following edges of an implicit binary tree structure until it reaches a leaf (a goal or final state). This creates a theoretical tradeoff between the number of possible states and the running time: given k comparisons, the algorithm can only reach O(2 k ) possible states and/or possible goals.