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Topic: Tree data structure


  
  Tree Data Structure: Nodes
A typical Binary tree has nodes (or forks) that cut up the "population" in an attempt to keep the depth of the tree to a minimum.
In addition to its data and left and right children, the nodes of a red-fl tree contain an extra bit of information—a color, which can be either one of two colors, red or fl.
Red-fl trees are complicated further by the concept of a specialized class of node referred to as NIL nodes.
www.lycos.com /info/tree-data-structure--nodes.html   (604 words)

  
  Tree data structure - Wikipedia, the free encyclopedia
In computer science, a tree is a widely-used computer data structure that emulates a tree structure with a set of linked nodes.
In graph theory, a tree is a connected acyclic graph.
There are many different ways to represent trees; common representations represent the nodes as records allocated on the heap with pointers to their children, their parents, or both, or as items in an array, with relationships between them determined by their positions in the array (e.g., binary heap).
en.wikipedia.org /wiki/Tree_data_structure   (458 words)

  
 [No title]
Data can be simple elements such as numbers or characters, or be any complex combination of simple elements such as strings, collections of similar data, and graphics.
The computer tree data structure is a parent, child non-cyclic graph where each child has exactly one parent (except the root which has no parent) and each parent can have one or more children.
A balanced tree guarantees O(log(n)) performance, where n is the number of nodes (root, children, parents) in the tree, meaning that the time to find a node (note: tree is self-sorted or otherwise indexed) is logrithmically related to the number of nodes in the tree.
alumni.cse.ucsc.edu /~davevw/BTReadme.txt   (1008 words)

  
 Ordered tree data structure   (Site not responding. Last check: 2007-10-26)
His treehouses are harmoniously and harmlessly integrated to the tree structure.
Biomolecular structure determination by using solid state NMR spectroscopy Solid state NMR methodology for structure determination of uniformly labeled peptides.
The World Tree Brief overview on the World Tree, or Tree of Life, Tree of Knowledge, or Tree of Speech.
www.serebella.com /encyclopedia/article-Ordered_tree_data_structure.html   (434 words)

  
 Tree data structure   (Site not responding. Last check: 2007-10-26)
In computer science, a tree is a widely-usedcomputer data structure that emulates a tree structure with a set of linked nodes.
Binary trees are one kind of ordered tree, and there is a one-to-onemapping between binary trees and general ordered trees.
There are many different ways to represent trees; common representations represent the nodes as records allocated on the heapwith pointers to their children, their parents, or both, or as items in an array, withrelationships between them determined by their positions in the array (e.g., binary heap).
www.therfcc.org /tree-data-structure-95372.html   (404 words)

  
 CSCI 2170 Lab 13 - Trees
In computing we build trees often because they are useful data structures in evaluating expressions, in sorting, in searching, in problems that require backtracking (backing up when we have hit a dead end) as well as other areas of computing.
Tree data structures are used to represent hierarchical relationships such as parent-child relationships and boss-worker relationships, for example.
tree -a set of 0 or more nodes such that a non-empty tree has 1 node that is called the root node from which descend 0 or more subtrees.
www.mtsu.edu /~csci217/manual/lab13/lab13.html   (1729 words)

  
 Tree data structure   (Site not responding. Last check: 2007-10-26)
In a tree data structure there is distinction between the various children of a --- none is the "first child" or child".
Binary trees are one kind of ordered tree there is a one-to-one mapping between binary and general ordered trees.
Stepping through the items of a tree means of the connections between parents and is called walking the tree and the action is a walk of the tree.
www.freeglossary.com /Tree_(computing)   (564 words)

  
 Two-Level Tree Structure for Fast Pointer Lookup
The conservative garbage collector described here uses a 2-level tree data structure to aid in fast pointer identification.
The rest of this discussion focuses on the two level data structure used to map the high and middle bits to the block descriptor.
In the case of 64 bit addresses, this picture is complicated slightly by the fact that one of the index structures would have to be huge to cover the entire address space with a two level tree.
www.hpl.hp.com /personal/Hans_Boehm/gc/tree.html   (571 words)

  
 Tree structure Details, Meaning Tree structure Article and Explanation Guide   (Site not responding. Last check: 2007-10-26)
A tree structure is a way of representing the hierarchical nature of a structure in a graphical form.
In graph theory, a tree is a connected acyclic graph (or sometimes, a connected directed acyclic graph in which every vertex has indegree 0 or 1).
Tree structures are used extensively in computer science and telecommunications.
www.e-paranoids.com /t/tr/tree_structure.html   (557 words)

  
 Data Structures
  The fundamental data structure in a tree code is, of course, the tree, and the fundamental operation is a tree traversal.
Figure 1:   The elements of the tree data structure are shown for a two-dimensional quad-tree with 64 bodies, and a terminal threshold m=3.
The depth of the tree is irregular and adapts to local variations in the density of bodies.
www.cacr.caltech.edu /~johns/pubs/siam97/html/node4.html   (866 words)

  
 B*-tree - Wikipedia, the free encyclopedia
A B*-tree is a tree data structure, a variety of B-tree that is efficient for searching at the cost of a more expensive insertion.
The term is not in general use today; most people use "B-tree" generically to refer to all the variations and refinements of the basic data structure.
Dictionary of Algorithms and Data Structures entry for B*-tree
en.wikipedia.org /wiki/B*-tree   (85 words)

  
 B-Trees
To ensure that the height of the tree is as small as possible and therefore provide the best running time, a balanced tree structure like a red-fl tree, AVL tree, or b-tree must be used.
Consequently, a b-tree is an ideal data structure for situations where all data cannot reside in primary storage and accesses to secondary storage are comparatively expensive (or time consuming).
Since the "branchiness" of a b-tree can be large compared to many other balanced tree structures, the base of the logarithm tends to be large; therefore, the number of nodes visited during a search tends to be smaller than required by other tree structures.
www.bluerwhite.org /btree   (2387 words)

  
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www.recoverdata.mobi   (914 words)

  
 Citations: range Tree: A New Data Structure for Range Searching in Secondary memory - Subramanian, Ramaswamy ...   (Site not responding. Last check: 2007-10-26)
The structure is an external version of the internal memory priority search tree structure [113] The external priority search tree consists of a base B tree on the x coordinates of the N....
Many other powerful data structures for range queries were devised subsequently and we refer the reader to [11] for a comprehensive survey on this topic and a list of references.
Very recently, a new data structure called buffer tree and its applications are given in [2, 3] and an external memory version of the directed topology tree (18] called topology B tree is given in [9] For....
citeseer.ist.psu.edu /context/88825/0   (3560 words)

  
 Tree data structure - Wikinfo
In a tree data structure, there is no distinction between the various children of a node --- none is the "first child" or "last child".
Binary trees are one kind of ordered tree, and there is a one-to-one mapping between binary trees and general ordered trees.
There are many different ways to represent trees; common representations represent the nodes as records allocated on the heap with pointers to their children, their parents, or both, or as items in an array, with relationships between them determined by their positions in the array (e.g., binary heap).
www.wikinfo.org /wiki.php?title=Tree_data_structure   (1324 words)

  
 Oblivious Data Structures: applications to cryptography   (Site not responding. Last check: 2007-10-26)
Abstract: We introduce the notion of oblivious data structure, motivated by the use of data structures in cryptography.
Informally, an oblivious data structure yields no knowledge about the sequence of operations that have been applied to it other than the final result of the operations.
In particular we define Oblivious Tree, a data structure very similar to 2-3 Tree, but with the additional property that the only information conveyed by an Oblivious Tree is the set of values stored at its leaves.
www-cse.ucsd.edu /~daniele/papers/OblTree.html   (187 words)

  
 Binary Tree   (Site not responding. Last check: 2007-10-26)
The beauty of a binary tree is in both the functions that drive it, but more importantly in the data structure that allows it.
Since the point of the tree is to hold information that is retrievable by a key, the object has a key and a value property.
Though it may not be apparent, this is essentially a Binary Search, but the data structure does a majority of the work, greatly simplifying the process.
www.bitesizeinc.net /power.programming.binary.tree.html   (537 words)

  
 Tree Data Structure   (Site not responding. Last check: 2007-10-26)
A tree is another data structure that you can use to store pieces of information (i.e., a bunch of elements).
Here, we'll consider elements that each have a key (that identifies the element) and a value (that is the data for an element).
For example, suppose a tree stores elements with keys (which are letters) and values (which are counts, like the frequency of the letter).
www.cs.bu.edu /teaching/cpp/tree/bst/slides   (83 words)

  
 Citations: The Buffer Tree: A New Technique for Optimal I/O-Algorithms - Arge (ResearchIndex)   (Site not responding. Last check: 2007-10-26)
Unfortunately, most of these data structures are quite complex to be implemented (the simplest proposal is in [9] and the constants hidden in the space and I O....
proposed the data structuring paradigm, and in particular the buffer tree.
A buffer tree is an external memory search tree, based on the (a; b) tree [62] which is a generalization of the B tree [27] It allows several update operations, such as insert, delete, search, deletemin, and it....
citeseer.ist.psu.edu /context/88793/0   (4209 words)

  
 The Tree Data Structure
A tree is a data structure used to model data such that related data is in close proximity called branches.
A tree may be referred to by the name of its root node.
The height or depth of a tree is the maximum level of all nodes in the tree.
www.cis.cau.edu /Curriculum/123/notes/TreeNotes.htm   (517 words)

  
 Building an in-memory tree with the Xml Pull Parser
Although the Document object has a standard API which abstracts the actual representation of the tree, the Document API is awkward compared to a simple tree data structure.
The in-memory tree that is constructed by the TreeBuilder object published here is based on a tree data structure that is popular in constructing the data structures built by compilers.
The DOM tree is traversed and the expression (or statement) is evaluated).
www.bearcave.com /software/java/xml/treebuilder.html   (1060 words)

  
 Tree   (Site not responding. Last check: 2007-10-26)
A tree is an acyclic directed-graph data structure where one node (the root) has no predecessor, and all other nodes have exactly one predecessor.
This module of the tcllib data structures collection provides the data structure portion of a tree structure.
Tk Tree Widget in C++, tkgcv, hierarchy, Tree Table, born2net's Iwidgets version of Hipp's tree widget, Brighton's Iwidgets tree widget, Mutlu's Iwidgets version of a tree widget, Pryce's itk widget base class are some older examples of tree widget implementations
wiki.tcl.tk /tree   (356 words)

  
 CSC 320 Assignment #14   (Site not responding. Last check: 2007-10-26)
Like linked lists, the tree data structure is made up of nodes, but unlike the linked list data structure, the nodes are not arranged linearly, one after the other in a list.
In keeping with the tree metaphor, the node at the very top of the tree is called the root node, and the nodes at the very tips with only null pointer links are called leaf nodes.
Because the questions are yes-or-no questions, the most natural data structure to use for the implementation is the binary tree.
www.berea.edu /faculty/pearcej/CSC320/tasks/a14.tree.html   (1923 words)

  
 Astrophysical N-body Simulations Using Hierarchical Tree Data Structures
Although there is a wealth of observational data, astrophysics is at a disadvantage to some of the more terrestrial sciences because it is impossible to conduct experiments on galaxies.
Simulations employing adaptive tree data structures, or treecodes, are used because they adequately represent the distribution of matter on alllength-scales.
Adaptive tree data structures have been popular in recent years due to the low cost of the subsequent force evaluation and a relative insensitivity to the spatial distribution of bodies.
www.crpc.rice.edu /newsletters/jan93/wip.nbody.html   (634 words)

  
 Description and discussion of ESSC data-tree structure
To accommodate the wide range of scales and geographic coverages of the geographically referenced data sets required by various ESSC investigators, the ESSC database is structured as a tree, with lower levels being at correspondingly finer scales.
The subdirectory containing the actual data for each region is further subdivided by type of data, etc, and these subsubdirectores will in turn contain a separate directory for each separate data set.
When a directory or data set at one level spans the region covered by more than one directory at the next higher level, the actual data will be entered under only one directory, and pointed to by links in the other directories.
dbwww.essc.psu.edu /notes/db_tree.html   (1145 words)

  
 Seminar Abstract   (Site not responding. Last check: 2007-10-26)
Enhancements in data capturing technology have lead to exponential growth in amounts of data being stored in information systems.
In this presentation, we motivate the need for an incremental data mining approach based on data structure called the item-set tree.
We prove that the expected complexity of inserting a transaction is nearly O(1), and that of frequency counting is O(n), where n is the cardinality of the domain of items.
bit.csc.lsu.edu /~seminar/abst.talk.1999.11.19.html   (155 words)

  
 6. Conclusions and further work   (Site not responding. Last check: 2007-10-26)
The next step in the evaluation of practical usefulness of our dynamic trees with operations min_in_subtree1 and min_in_subtree2 in the context of the dynamic minimum spanning tree problem could be a direct comparison of the performance of our codes mst1 and mst2 with the performance of codes which are based on theoretically fast methods.
Our flip-tree data structure (code virtual_tree in Section 4) can be viewed as a generalisation of the dynamic traveling-salesman data structure based on splay trees.
They also show, however, that some other dynamic traveling-salesman data structures, for example their data structure based on two-level trees, are usually faster.
www.jea.acm.org /ARTICLES/Vol3Nbr9/node6.html   (376 words)

  
 [No title]
In this study P-tree data structure is beneficially used to reduce the computational expenses in the new method of Naïve Bayesian classification.
Implementation of a new method of classification for spatial raster data To use Naïve Bayesian classifier as the classification tool To use P-tree data structure beneficially in the new classification method In Naïve Bayesian classification several counts are required to compute the probabilities.
Let R(P, B1,...Bn) be the file or relation containing these data bands as columns or attributes for a particular space or area, where P is the key (pixel coordinates, x-y, of the points in the space) and each column, B1,..,Bn, measures the level of that attribute for each pixel location.
www.cs.ndsu.nodak.edu /~farooq/DBP.doc   (3028 words)

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