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Topic: Set data structure


  
  Disjoint-set data structure - Wikipedia, the free encyclopedia
A disjoint-set data structure is a data structure that keeps track of such a partitioning.
In a disjoint-set forest, each set is represented by a tree data structure where each node holds a reference to its parent node.
Disjoint-set data structures arise naturally in many applications, particularly where some kind of partitioning or equivalence relation is involved, and this section discusses some of them.
en.wikipedia.org /wiki/Disjoint-set_data_structure   (1435 words)

  
 Data structure
A well-designed data structure allows a variety of critical operations to be performed on using as little resources, both execution time and memory space, as possible.
In the design of many types of programs, the choice of data structures is a primary design consideration, as experience in building large systems has shown that the difficulty of implementation and the quality and performance of the final result depends heavily on choosing the best data structure.
After the data structures are chosen, the algorithms to be used often become relatively obvious.
www.sciencedaily.com /encyclopedia/data_structure   (456 words)

  
 ANSDIT - The letter "D"
In data communications, that part of a data station that serves as a data source, a data sink, or both.
In data communications, that phase of a call during which user data may be transferred between data terminal equipments that are interconnected via a network.
A defined set of acceptable values of a specified data structure and a set of permissible operations on these values as operands.
www.ncits.org /tc_home/k5htm/d2.htm   (2467 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.
An acyclic graph with multiple connected components or a set of rooted trees is sometimes called a forest.
A tree in which such distinctions are made is called an ordered tree, and data structures built on them are called ordered tree data structures.
en.wikipedia.org /wiki/Tree_data_structure   (451 words)

  
 List of selected publications of Tom Snijders
Applying these models in their traditional specification to observed network data often has led to problems, however, which can be traced back to the fact that important parts of the parameter space correspond to nearly degenerate distributions, which may lead to convergence problems of estimation algorithms, and a poor fit to empirical data.
As an elaboration and practical implementation of this point, a statistical model for the dynamics of networks, expressed as digraphs with a fixed vertex set, is proposed in which the outdegree distribution is governed by parameters that are not connected to the parameters for the structural dynamics.
Data in the form of zero-one matrices where conditioning on the marginals is relevant arise in diverse fields such as social networks and ecology; directed graphs constitute an important special case.
stat.gamma.rug.nl /snijders/publ.htm   (10594 words)

  
 Data Structure   (Site not responding. Last check: 2007-09-05)
The image data is stored in a `crystalline' structure with a virtually unlimited (up to 20) number of dimensions.
A subset is a part of a set with a dimensionality not greater than the dimensionality of the set.
Every axis of a set has a name, a length in pixels and physical coordinate system associated with it (all specified in the descriptor).
www.astro.rug.nl /~gipsy/gds/structure.html   (388 words)

  
 Citations: Lower bounds on the complexity of some optimal data structures - Fredman (ResearchIndex)
This is the problem of preprocessing a set P of n points in Euclidean d space so that, given an arbitrary query simplex s, which points lie in s can be found efficiently.
....query time; that is, we prove lower bounds on the size of the data structure as a function of its worst case query time, or vice versa.
In this model, the points are given arbitrary weights from a fixed semigroup, and the complexity of a problem is given by the worst case number of semigroup additions required to 3 Formally, the reductions in [29] and [41] are quasilinear time many one reductions, and the reductions we....
citeseer.ist.psu.edu /context/284161/0   (3554 words)

  
 Set Data Structures
For data structures, the primary issue is maintaining a given set partition as things change over time, perhaps as edges are added or party members defect.
The queries we are interested in include ``which set is a particular item in?'' and ``are two items in the same set?'' as we modify the set by (1) changing one item, (2) merging or unioning two sets, or (3) breaking a set apart.
An interesting connection between the worst-case of union-find and the length of Davenport-Schintzl sequences, a combinatorial structure that arises in computational geometry, is established in [ SA95 ].
www2.toki.or.id /book/AlgDesignManual/BOOK/BOOK3/NODE133.HTM   (1155 words)

  
 Relational Model: Data Structure and Terminology
A relational table is a flat file composed of a set of named columns and an arbitrary number of unnamed rows.
A data value is stored in the intersection of a row and column.
Each named column has a domain, which is the set of values that may appear in that column.
www.utexas.edu /its/windows/database/datamodeling/rm/rm1.html   (194 words)

  
 Modeling Shape and Topology of Low-Resolution Density Maps of Biological Macromolecules -- De-Alarcón et al. 83 ...
The study of three-dimensional (3D) biomolecular structures is central to the understanding of molecular biology.
Density estimation is the construction of an estimate of the pdf from the observed data.
The algorithm increases the cardinality of the point set to improve the fidelity of the corresponding alpha complex with respect to the original 3D map.
www.biophysj.org /cgi/content/full/83/2/619   (7191 words)

  
 Container Architecture
Section 6 sets the context for the remainder of the paper by considering the metadata issues in a broader context.
The Dublin Core data elements in effect serve as a transport mechanism and a labeling mechanism for information that is going to be displayed to human end-users; or at best processed heuristically, with some consideration given to the Dublin Core tagging in developing the heuristics.
The third metadata set, which defines the terms and conditions for access to the content object, is referenced indirectly via a URI in the container.
www.ifla.org /documents/libraries/cataloging/metadata/warwick2.htm   (11935 words)

  
 C= Hacking magazine - Issue 4
The 8563 has no ROM Character Set associated with it and thus we are able to just simply modify the character set that is in the 8563 memory instead of copying it over.
The 64/128 character sets would be the same - this routine would automatically generate the eight additional bytes needed by the 8563 if need-be and it would call the appropriate storage routine - store to either the 8563 or the computer memory.
Set the sector interleave to 1 for a 1581 or 4 for a 1571.
www.canberra.edu.au /~scott/C=Hacking/C-Hacking4.html   (16323 words)

  
 msg_set_queue   (Site not responding. Last check: 2007-09-05)
allows you to change the values of the msg_perm.uid, msg_perm.gid, msg_perm.mode and msg_qbytes fields of the underlying message queue data structure.
You specify the values you require by setting the value of the keys that you require in the
Changing the data structure will require that PHP be running as the same user that created the queue, owns the queue (as determined by the existing msg_perm.xxx fields), or be running with root privileges.
php.s3.to /man/function.msg-set-queue.html   (98 words)

  
 3 Conga Line Data Structure
14 ], simplified somewhat by maintaining one set of objects instead of two sets, using a naïve nearest-neighbor searching technique in place of geometric range searching data structures, and relaxing size restrictions on subsets in a partition of the input.
Figure 1: Conga line data structure, consisting of a partition of the objects into subsets, each associated with a graph formed by the disjoint union of directed paths.
By construction, the graphs together have at most 2 n edges (we rebuild the data structure if this bound is reached), so they take linear space to store.
www.jea.acm.org /ARTICLES/Vol5Nbr1/node3.html   (1326 words)

  
 Genome Biology | Full text | Consensus clustering and functional interpretation of gene-expression data
This was indeed true for the B-cell data where consensus clustering of the datasets showed that 98.5% of the B-cell robust clusters were assigned correctly to their respective consensus clusters.
Comparisons for the ASC dataset (Figure 3a) and B-cell lymphoma data (Figure 3b) show that consensus clustering improves on all single methods regardless of dataset, except in the case of CAST compared to SA for the ASC dataset (Figure 3a).
The choice of 13 clusters for the ASC data was determined by the number of repeated genes, whereas 40 clusters for the B-cell data was based on previous exploratory data analysis [ 21 ].
www.genomebiology.com /2004/5/11/R94   (9112 words)

  
 TWIN Data Structure   (Site not responding. Last check: 2007-09-05)
The information in the structure is arranged in a hierarchy: an object is an unordered ring of faces, a face is a semi-ordered ring of loops, a loop is a semi-ordered ring of edges, and an edge has two ordered vertices.
Two special cases of user-defined data occur frequently enough to merit their own fields in the face data structure.
can be set by the user to pointer at some entity from which the face is derived, such as the user's own definition of a CSG primitive.
www.cadlab.ecn.purdue.edu /cadlab/twin/TWIN_01_DataStruc.html   (765 words)

  
 1.1.5 Set Data Structures
If there is no fixed-size universal set, a collection of objects is best thought of as a dictionary.
No notion of a fixed universal set is needed for such a data structure.
The best books available for this problem are Algorithms in C++: Fundamentals, Data Structures, Sorting, Searching by Robert Sedgewick and The Art of Computer Programming : Fundamental Algorithms by Donald Knuth.
www.cs.sunysb.edu /~algorith/files/set-data-structures.shtml   (459 words)

  
 SET(WIDGET_CALL_DATA)   (Site not responding. Last check: 2007-09-05)
The second parameter is the widget for which the data structure is defined.
The third parameter is the identifier of the reason code associated with the data structure.
If this built-in, which is only used in a windowed environment, is called with fewer parameters than found in the callback data structure, nu/TPU will set the request string to "void" and the keyword to UNSPECIFIED.
helix.nih.gov /docs/online/edt/tpu00234.htm   (186 words)

  
 List of data structures - Wikipedia, the free encyclopedia
For a wider list of terms, see list of terms relating to algorithms and data structures.
Other structures such as "linked list" and "stack" cannot easily be defined this way because there are specific operations associated with them.
This page was last modified 08:52, 7 May 2005.
en.wikipedia.org /wiki/List_of_data_structures   (104 words)

  
 The set Data Abstraction   (Site not responding. Last check: 2007-09-05)
Because the container used to implement the set data structure maintains values in an ordered representation, set s are optimized for insertion and removal of elements, and for testing to see whether a particular value is contained in the collection.
For this reason, std::set should be the data structure of choice in any problem that emphasizes insertion, removal, and test for inclusion of values.
Like a list, a set is not limited in size, but rather expands and contracts as elements are added to or removed from the collection.
www.roguewave.com /support/docs/SourcePro/stdlibug/8-1.html   (286 words)

  
 OPeNDAP User Guide -- 6.4 Ancillary data   (Site not responding. Last check: 2007-09-05)
In order to use some data set, a user must have some information at his or her disposal that is not strictly included in the data set itself.
), describes the shape and size of the data types that make up the data set, and provides information about many of the data set's attributes, as well.
The Dataset Descriptor Structure (DDS) describes the data set's structure and the relationships between its variables, and the Dataset Attribute Structure (DAS) provides information about the variables themselves.
www.opendap.org /user/guide-html/guide_64.html   (124 words)

  
 The Item-Set Tree: A Data Structure for Data Mining - Hafez, Deogun, Raghavan (ResearchIndex)   (Site not responding. Last check: 2007-09-05)
Enhancements in data capturing technology have lead to exponential growth in amounts of data being stored in information systems.
In this paper, we motivate the need for an incremental data mining approach based on data structure called the itemset tree.
The motivated approach is shown to be effective for solving problems related to efficiency of handling data...
citeseer.ist.psu.edu /200008.html   (494 words)

  
 The Behaviormetric Society of Japan   (Site not responding. Last check: 2007-09-05)
In quantifying a two-way table of data, one derives weights (spacings) for rows and columns so as to maximize the correlation of data weighted by row weights and those by column weights.
The present paper shows (1) that one can calculate the between-set distances, and (2) that the data as a whole require an additional dimension to accommodate the discrepancy of the row space and the column space.
This further development is not easy because these methods are by the very nature of categorical data based on the chi-square metric, making an entire inter-point (within-set and between-set) distance matrix not readily amenable to any currently available analytic method.
wwwsoc.nii.ac.jp /bsj/B30_1_5a.html   (211 words)

  
 USIGS SIGNAL April 1, 1999
The mission of the GEnealogical Data Interchange and Storage Standard Project is to establish standard computer data structures that will serve as a neutral interchange and storage format for the genealogical community long into the future.
It is intended to be a robust standard set of data structures and techniques that will allow genealogical researchers, amateur and professional, to interchange genealogical data among themselves, with precision and without misunderstanding.
Compiled data bases, such as World Family Tree or the LDS Ancestral File or a printed compendium of genealogy, are Secondary Sources that are useful only as clues, but cannot ever be used as proof of anything.
www.usigs.org /signal/1999/April/99-04-1.htm   (7167 words)

  
 EdReform.Net | Technology Applications for Learning - Data set   (Site not responding. Last check: 2007-09-05)
We've collected sets of resources grouped around three topics: the search for life on Mars, the Martian environment, and the mechanics of the Mars Exploration Rover itself.
This is one of a set of web sites, resources and on line webcasts saved for examination by those who were not able to participate in the live webcast.
The data can be searched by object name, coordinates, filters, and by a list of objects.
applications.edreform.net /educationaltype/dataset   (3701 words)

  
 K-12 Science Resources
NASA has a wealth of data and images, some specifically designed for use in K-12 education.
The Visible Human Project: The aim of the project is to provide a digital image data set of a complete human male and female cadaver in MRI, CT and anatomical modes.
MathMol A large selection of 3-D molecular structures found in K-12 biology and chemistry textbooks.
edinformatics.com /data/mst.htm   (112 words)

  
 Charles W. Bachman Papers   (Site not responding. Last check: 2007-09-05)
"Data Description Language (DDL) in the Context of a Multilevel Structured Description." by Michael E. Senko, 1974.
"Data Structure Diagram Representing the Conceptual Schema of the Conceptual Schema," [flow chart], August 26, 1982.
Data Model IBM Enterprise Model, July 31, 1991.
www.cbi.umn.edu /collections/inv/cbi00125.html   (5411 words)

  
 Disjoint-set data structure
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