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Topic: Tree search algorithm


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In the News (Sat 5 Dec 09)

  
  WikiMiki.net - Tree search algorithm   (Site not responding. Last check: 2007-09-17)
Algorithms are often implemented in software, and advancing the state of the art in algorithms is responsible for many of the most spectacular successes in computing.
The field of algorithms is highly formal and many things can be proved about a given algorithm (using complexity theory), including roughly how long it will take to complete, as compared to the size of its input (the number of options it must consider).
A splay tree is a binary search tree that automatically moves frequently accessed elements nearer to the root.
wikipedia.anuncios.es.wikimiki.net /en/tree+search+algorithm   (6014 words)

  
 Search algorithm Summary
One can be constructed simply by using a variant of the binary search algorithm, but the real challenge lies in inserting and deleting data from the binary search tree in such a way as to keep it balanced, in order to accommodate modifications in the database corresponding to the binary search tree.
In computer science, a search algorithm, broadly speaking, is an algorithm that takes a problem as input and returns a solution to the problem, usually after evaluating a number of possible solutions.
Brute-force search or "naïve"/uninformed search algorithms use the simplest, most intuitive method of searching through the search space, whereas informed search algorithms use heuristics to apply knowledge about the structure of the search space to try to reduce the amount of time spent searching.
www.bookrags.com /Search_algorithm   (2176 words)

  
 Computer Chess Programming » Blog Archive » Chess Tree Search
The problem for most interesting games is that the size of this tree is tremendously huge, something like W^D, where W is the average number of moves per position and D is the depth of the tree, Searching the whole tree is impossible, mainly due to lack of time, even on the fastest computers.
Chess tree search is an alternation between maximizing and minimizing the value of the positions in the tree; this is often abbreviated to minimaxing.
The number of positions that has to be searched by this algorithm is W^D, where W is the width of the tree (average number of moves possible in each position) and D is the depth of the tree (^ indicates exponentiation).
chess.verhelst.org /1997/03/10/search   (2199 words)

  
 AG-Monien - Research - Game Trees   (Site not responding. Last check: 2007-09-17)
Tree search algorithms play an important role in many applications in the field of artificial intelligence.
Thus, irrelevant variations of the tree are searched as deep as the important ones.
Moreover, in the worst case the decision at the root of the tree is based on a single static evaluation at one leaf of the game tree searched.
www.uni-paderborn.de /fachbereich/AG/monien/RESEARCH/GAMETREE   (773 words)

  
 Jonathan Chu (jcchu)   (Site not responding. Last check: 2007-09-17)
The resulting evaluation at the leaf nodes of the tree is the resulting evaluation for the branch of the original search.
The advantage of this algorithm is that it uses a zero-window size for the alpha and beta parameters; what this provides is the most number of cut-offs and will search the minimum amount of the tree.
Despite the algorithm being common and relatively simple, the challenge to create a parallel version is not as trivial as distributing the work evenly.
www.andrew.cmu.edu /user/jcerully/finalreport.htm   (1371 words)

  
 Tree traversal - Wikipedia, the free encyclopedia
In computer science, tree traversal is the process of visiting each node in a tree data structure exactly one time.
The height of a nonempty tree is the maximum level of a node in the tree plus one.
Binary tree: binary tree is a tree with exactly two sub-trees for each node, called the left and right sub-trees.
en.wikipedia.org /wiki/Tree_search_algorithm   (1716 words)

  
 [No title]
It implements a fast tree search algorithm, quartet puzzling, that allows analysis of large data sets and automatically assigns estimations of support to each internal branch.
Tree octopuses became prized by the fashion industry as ornamental decorations for hats, leading greedy trappers to wipe out whole populations to feed the vanity of the fashionable rich.
Although they are not social animals like us, they display to one-another their emotions through their ability to change the color of their skin: red indicates anger, white fear, while they normally maintain a mottled brown tone to blend in with the background.
www.lycos.com /info/tree.html   (679 words)

  
 Citations: Tree Search Algorithm: A Best-First Proof Procedure - Berliner (ResearchIndex)   (Site not responding. Last check: 2007-09-17)
Buros ProbCut algorithm [12] uses shallow extra searches instead of deep searches for positions in a certain level of the tree which seem to be irrelevant for the decision at the root.
Thus, irrelevant variations of the tree are searched as deep as the relevant ones.
Last but not least, in the worst case the decision at the root of the tree is based on a single static evaluation at one leaf of the game tree searched.
citeseer.ist.psu.edu /context/136003/0   (2929 words)

  
 search
Branching factor is a measure of the complexity of a position reached in the tree search which characterizes this complexity in terms of the average number of successor branches (legal moves) from this position.
Search() simply tests to see if the current ply is a split point, and if so it copies the shared move list to the local move list, calls Select() to choose one for searching and then removes it from the move list.
Another example is that the search extensions used by Cray Blitz at ply=N are affected by the extensions at plies before N in the tree.
www.cis.uab.edu /hyatt/search.html   (10075 words)

  
 Tree Search   (Site not responding. Last check: 2007-09-17)
For this search to be efficient the lemmings must be grouped into equivalence classes, so that choosing only one lemming in the class is considered.
The tree search, if that's what it is, is abstract, because the node in which there is a leftover blocker is at the end of the game.
Tree search often becomes inefficient when the sequence of actions is divisible into actions that independently affect different aspects of the situation.
www-formal.stanford.edu /jmc/lemmings/node18.html   (831 words)

  
 Search Tree Introduction
A search function is a function that is passed information about the game, and tries to find the best move for side that the program is playing.
There are lots of ways to write a search function, and I don't want to stifle creativity by only talking about one of them, but I want these pages to focus on practical methods.
So what is done instead is that the tree is searched as deeply as possible within a given time frame, and in those positions where you don't know how the game will end, you look at the position, take a guess, and assign a value to this position based upon the guess.
www.brucemo.com /compchess/programming/tree.htm   (554 words)

  
 section highlights5.3
The Binary search algorithm required a sorted list; if your data is unsorted (it may be changing dynamically in time, if you are updating a database of customers, for example), you can populate a tree which approximates a sorted list, and then use a modified search algorithm (binary tree search) to search the list.
the element is unequal to a leaf of the binary search tree.
In this case the binary search tree serves as the decision tree for the binary tree search algorithm.
www.nku.edu /~longa/classes/2002fall/mat385/days/day27/highlights5.3/highlights5.3.html   (565 words)

  
 Search algorithm - Wikipedia, the free encyclopedia
Many of the problems in Tree search can be solved using SQL type searches.
In a Hierarchical search your path is forced by the branches of the tree (example name by alphabetical order) while with SQL you have the flexibility of accessing the data along multiple directions (name, address, income etc...).
While SQL search offers great flexibility to search the data, it still operates like a computer does: by constraints.
en.wikipedia.org /wiki/Search_algorithm   (1156 words)

  
 BioMed Central | Full text | A double classification tree search algorithm for index SNP selection
We have re-formulated the index SNP selection problem and developed a new greedy algorithm for index SNP selection based on a double classification tree search algorithm similar to the double search algorithm we previously developed for physical mapping [6].
Our algorithm can be divided into two phases: a greedy phase to choose the classifiers and a tree-building phase to divide the haplotype patterns into the subtrees.
For the second round search, we force the last classifier of the first round to be used as the first classifier in the second round.
www.biomedcentral.com /1471-2105/5/89   (2263 words)

  
 Hans J. Berliner - Monday September 18, 1995 - Department of Computing Science, University of Alberta
Since the 1940's when scientists first began examining how to search in computer games, it was clear that all proposals for "human-like" searches failed one crucial test.
This algorithm was developed based on notions of what is undeniably true about human behavior, and how to implement this in a computer program.
At present the B* search algorithm is used in the chess machine Hitech.
web.cs.ualberta.ca /events/dls/1995-1996/Berliner.php   (446 words)

  
 A* search algorithm - Wikipedia, the free encyclopedia
In computer science, A* (pronounced "A star") is a graph search algorithm that finds a path from a given initial node to a given goal node (or one passing a given goal test).
The A* algorithm is therefore an example of best-first search.
In their paper, it was called algorithm A; using this algorithm with an appropriate heuristic yields optimal behavior, hence A*.
en.wikipedia.org /wiki/A-star_search_algorithm   (1218 words)

  
 13 Mar 1996
A game tree is a tree in which each node represents the state of the game, and a node's children are the states that can be reached from the node.
On a search to depth 2, the number of states searched is COLS^2, 36.
On a search to depth 3, the number of states search is COLS^3, 216.
www.cs.cmu.edu /afs/cs.cmu.edu/user/cburch/www/211-sp96/13Mar.html   (1277 words)

  
 Binary Search Tree
Binary Search Tree can be implemented as a linked data structure in which each node is an object with three pointer fields.
In binary search tree, a node's key is greater than or equal to its child's key but less than or equal to right child's key.
The TREE-MINIMUN (x) algorithm returns a point to the node of the tree at x whose key value is the minimum of all keys in the tree.
www.personal.kent.edu /~rmuhamma/Algorithms/MyAlgorithms/binarySearchTree.htm   (1216 words)

  
 Binary Search Tree Algorithm
What this algorithm does is to insert a node into a binary search tree.
If 5 is less than the element (the top of the tree) then is looks to its left side.
If there is a node that is already there then algorithm is repeated recursively starting from the top of the tree.
www32.brinkster.com /gdogg517/binary.htm   (172 words)

  
 Game Tree Evaluation   (Site not responding. Last check: 2007-09-17)
Therefore, much research has been done to speed up game tree search algorithms by using parallel machines.
Conspiracy search achieves selectivity in the plain search without any domain dependent knowledge.
Thus it is possible to use small quiescence searches for evaluations, to spare lots of space, and to search for a decision only.
www.uni-paderborn.de /fachbereich/AG/monien/RESEARCH/game_tree_evaluation.html   (933 words)

  
 DiSC - Parallel R-Tree Search Algorithm on DSVM   (Site not responding. Last check: 2007-09-17)
Though parallel database systems have been extensively studied, as far as we know, the parallel algorithms of R-tree propsed so far are limited to one workstation with multiprocessors or multi disks, where parallel sorting algorithm or concurrent I/O is used to improve the performance.
For the search of R-tree, multiple search paths from the root to leaves are traversed sequentially.
In the paper, aiming at parallel I/O and CPU operations, we introduce a parallel R-tree search algorithm running on Distributed Shared Virtual Memory (DSVM), especially on Shusseuo which is an ODBMS providing global persistent object management on persistent DSVM.
www.sigmod.org /sigmod/disc/p_parallelrtreesebohik.htm   (172 words)

  
 TREE-PUZZLE
The upper limit of 257 is gone for likelihood mapping, usertree evaluation, consensus construction, and parameter estimation.
Parameter estimation, tree evaluation, can also be done for three sequences.
The KH tests have been altered to not artificially reject a tree if the variance between it and the best tree is too small.
www.tree-puzzle.de   (1063 words)

  
 BinTree for Windows version 1
The algorithm is originally developed by Mike West and Jennifer Pittman and implemented as a Matlab program.
To generate the ps files for tree outputs, you will also need to install Graphviz (http://www.research.att.com/sw/tools/graphviz/) package.
Select Trees For Prediction: select the criteria to be used in selecting trees for inclusion in predictions (i.e.
www.isds.duke.edu /~quanli/BinTree_FW.htm   (851 words)

  
 Binary Search Tree Problem - Dev Shed
The easiest way would be to find someone who knows this algorithm, and he could just read my 5 lines and tell me if it works or not.
Because I am using the search algorithm from the binary search tree, but it is more like a hybrid algorithm used for something else.
I have also said that it would be easier for someone who knows the algorithm to take alook at my 5 lines of code, and tell me if it would work with a standard binary search algorithm.
forums.devshed.com /java-help-9/binary-search-tree-problem-333781.html   (1396 words)

  
 Plant your data in a ternary search tree - Java World
The ternary search tree (TST) is the champion of data structure acrobatics -- it finds all keys having a given prefix, suffix, or infix.
Figure 2 illustrates two types of objects: objects that represent tree nodes (no color) and value objects (yellow or gray) encapsulated by the nodes.
The highest node in the tree is the root node; its parent is null.
www.javaworld.com /javaworld/jw-02-2001/jw-0216-ternary.html   (764 words)

  
 North American User Group Meeting 2006   (Site not responding. Last check: 2007-09-17)
Rapid analysis of protein structure, interaction, and dynamics requires fast and automated assignments of 3D protein backbone triple-resonance NMR spectra.
We introduce a new depth-first ordered tree search method of automated assignment, CASA, which uses hand-edited peak-pick lists of a flexible number of triple resonance experiments.
The computer program was tested on 13 artificially simulated peak lists for proteins up to 723 residues, as well as on the experimental data for four proteins.
www.chemcomp.com /ugm-2006-crippen.htm   (159 words)

  
 Opsis: Teaching Binary Search Tree Algorithms through Programming, Proof, and Animation
Opsis is a Java applet designed to teach binary search tree algorithms.
That is, the student implements a binary search tree algorithm by manipulating abstract tree fragments (and not necessarily just single nodes) in a visual manner.
Opsis is unique in that it combines elements of programming, proof, and animation to enhance the learning experience.
opsis.sourceforge.net   (277 words)

  
 Debian -- tree-ppuzzle
TREE-PUZZLE (the new name for PUZZLE) is an interactive console program that implements a fast tree search algorithm, quartet puzzling, that allows analysis of large data sets and automatically assigns estimations of support to each internal branch.
TREE-PUZZLE also computes pairwise maximum likelihood distances as well as branch lengths for user specified trees.
In addition, TREE-PUZZLE offers a novel method, likelihood mapping, to investigate the support of a hypothesized internal branch without computing an overall tree and to visualize the phylogenetic content of a sequence alignment.
packages.debian.org /unstable/science/tree-ppuzzle   (182 words)

  
 APHID Parallel Game-Tree Search Library   (Site not responding. Last check: 2007-09-17)
Synchronous game-tree search methods have been employed throughout the literature.
A synchronous algorithm is one where all processors must synchronize at a node within the tree before proceeding.
However, APHID is an asynchronous algorithm; it does not synchronize at the root of the game tree.
www.cs.ualberta.ca /~games/aphid   (221 words)

  
 DASFAA 1999: 237-245
Botao Wang, Hiroyuki Horinokuchi, Kunihiko Kaneko, Akifumi Makinouchi: Parallel R-Tree Search Algorithm on DSVM.
Antonin Guttman: R-Trees: A Dynamic Index Structure for Spatial Searching.
Nick Roussopoulos, Daniel Leifker: Direct Spatial Search on Pictorial Databases Using Packed R-Trees.
www.informatik.uni-trier.de /~ley/db/conf/dasfaa/WangHKM99.html   (475 words)

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