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Data structures

CLASSIFICATION METHODS In image processing, it often very interesting to built classes from the data structure. This technique can be partitioned into two categories ... [Pg.528]

JCAMP. jdx,. dx,. cs Joint Committee on Atomic and Molecular Physical Data structure and spectroscopic format nmm.jcamp. org/ 56... [Pg.46]

The Self-defining Text Archive and Retrieval (STAR) file format addresses primarily the problem of the inflexibility of the PDB file format, its fixed sets of allowable fields, and their strong dependence on order, To overcome the problems described, both the data. structure and the actual data items within a STAR file arc self-defined, which means that they are preceeded by corresponding names (labels) which identify and describe the data. The data may be of any type and there is no predefined order of the data. STAR files, in contrast to PDB files, are easy to read and write manually. The whole syntax of STAR files is very simple and is defined by only a few rules ... [Pg.120]

To allow flexibility, the database manager must also perform point addition or deletion. However, the abihty to create a point type or to add or delete attributes of a point type is not normally required because, unlike other data processing systems, a process control system normally involves a fixed number of point types and related attributes. For example, analog and binary input and output types are required for process I/O points. Related attributes for these point types include tag names, values, and hardware addresses. Different system manufacturers may define different point types using different data structures. We will discuss other commonly used point types and attributes as they appear. [Pg.773]

The data structure organization described above has been implemented in the BFM as well as in a very efficient off-lattice Monte Carlo algorithm, discussed in detail in the next chapter, which was modified to handle EP and used to study shear rate effects on GM [57]. [Pg.519]

But a computer simulation is more than a few clever data structures. We need algorithms to manipulate our system. In some way, we have to invent ways to let the big computer in our hands do things with the model that is useful for our needs. There are a number of ways for such a time evolution of the system the most prominent is the Monte Carlo procedure that follows an appropriate random path through configuration space in order to investigate equilibrium properties. Then there is molecular dynamics, which follows classical mechanical trajectories. There is a variety of dissipative dynamical methods, such as Brownian dynamics. All these techniques operate on the fundamental degrees of freedom of what we define to be our model. This is the common feature of computer simulations as opposed to other numerical approaches. [Pg.749]

Burton [92J published extensive NMR information forjluorinatedquaternary phosphanium salts that are used as Wittig reagents Clear data-structure correlations allow NMR mformauon on other compounds to be predicted The trifluo-romethyl analogue is a recent addition to this senes [93] The fluonne NMR of... [Pg.1051]

Pomter—Identifies addresses of other data items used to create linked data structures. [Pg.110]

The following data structures are available, or can be constructed, in most high-level languages. [Pg.110]

Data Types (Data structures of ail types, predefined and user-defined, must be declared see Statements for type declaration form.)... [Pg.124]

File—Composed of elements (which may be records or other data structures) of the same type sequential files only in standard Wirth Pascal external (physical) files (for input and output) must be declared with the program heading (see Statements ) and internal (temporary) files may be added for use within the program all files except INPUT and OUTPUT must be declared in TYPE and/or VAR sections. [Pg.124]

In forma tion Physics is a catch-all phrase that refers to attempts to found a physics on a notion of primordial information. Such attempts are based on two basic premises (1) that inf)rmation exists uid( pendently of any seniaiitics that must be used to ascribe a meaiiiiig to it, and (2) all observables found in nature are essentially data structures that the universe uses to encode information with. An electron in this view, for example, is interpreted as a data structure encoding the, eight (currently kiiowii) properties of what we call an electron (mass, charge, spin, etc.). The aim of information physics is to find the appropriate language, or dynamics, for whatever makes up this primordial information. [Pg.634]

Software designed for general or specific use might be useless in the intended application sociologists, mathematicians, clinical researchers, and physicists, just to name a few user categories, all gather and analyze data, to be sure, but each one has particular data structures and hypotheses. Tests must be selected to fit the application. [Pg.172]

As. dat files (some programs, like DATA and SIMILAR, create or add to data files). The data structure is such that a. dat file can easily be imported into Excel by invoking (Open. ) and choosing the (Separated by Comma) option. [Pg.361]

Software to predict the properties of formulated products is made more powerful by a recursive procedure which can use formulas stored in files as raw materials. Particular care must be taken with program flow control and data structures for the recursion to be effective. This paper illustrates these issues using an example derived from a working formulation system for coatings development. [Pg.54]

Recursive procedures demand special attention to flow control and data structures. For instance, the flow control within the procedure must correctly handle an error, say missing file information or inconsistent data, that is discovered several iterations deep. Should the procedure break and return to the previous level only Should it force return to the level of the original invocation of the procedure Should it allow an interactive user a choice of supplying missing data, and if so, on any level of iteration If files are opened within the procedures, should they be closed when a recursive call is needed, or are new channel numbers to be requested, using up system resources ... [Pg.55]

These and other issues about flow control become critical as real-world features to enhance ease of use are added to a system, features we do not illustrate in our example. We will instead focus on complications of the data structure that are evident even in our simple procedure. [Pg.55]

The table below illustrates these issues by comparing how a recursive subroutine must handle data which is available from a database, such as the cost of a raw material, data that is calculated for the formulated product, such as PBR, and data for intermediate products. (The variable names shown in the table are part of the example procedure given in the appendix.) Compare with the previous table for a non-recursive modelling procedure s data structure. [Pg.58]

In this case, rather than keeping separate data areas for each call to the procedure, we must create a data structure that can be shared by all occurrences. FORTRAN S COMMON can be used for this purpose. To implement the list in our example, make the following changes to the pseudo-code in the appendix ... [Pg.59]

Sedgewick, R., Algorithms - 2d ed. Addison-Wesley, Reading, MA (1988). Wirth, N., Algorithms + Data Structures = Programs. Prentice-Hall, Englewood Cliffs, NJ (1976). [Pg.60]

The complex (Ph3P)2Pt(SiCl2)2 was monomeric in benzene, and reacted with diphenylacetylene to give a 1 1 adduct (also monomeric in benzene). On this basis, together with IR data, structure (XII) rather than (XIII) was preferred for the SiX2 compounds, and the adduct was formulated as (XIV). [Pg.293]

The way in which the family of models is selected depends on the main purpose of the exercise. If the purpose is just to provide a reasonable description of the data in some appropriate way without any attempt at understanding the underlying phenomenon, that is, the data-generating mechanism, then the family of models is selected based on its adequacy to represent the data structure. The net result in this case is only a descriptive model of the phenomenon. These models are very useful for discriminating between alternative hypotheses but are totally useless for capturing the fundamental characteristics of a mechanism. On the contrary, if the purpose of the mode-... [Pg.71]

Sammon JE. A nonlinear mapping for data structure analysis. IEEE Trans Comput 1969 C-18 401-9. [Pg.372]

It is essential to have high-quality data in place for interoperable systems to function efficiently. Standard data structures can only be used to full advantage if they are combined with standard terminology for values populating a data element. Yet there are many potential pitfalls in data collection and configuration for analysis. Some of the more common pitfalls are discussed here, but this list is by no means comprehensive. [Pg.655]


See other pages where Data structures is mentioned: [Pg.469]    [Pg.73]    [Pg.178]    [Pg.233]    [Pg.237]    [Pg.725]    [Pg.328]    [Pg.341]    [Pg.1098]    [Pg.640]    [Pg.1]    [Pg.110]    [Pg.115]    [Pg.124]    [Pg.778]    [Pg.55]    [Pg.56]    [Pg.74]    [Pg.74]    [Pg.171]    [Pg.180]   
See also in sourсe #XX -- [ Pg.709 ]




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Abstract data type, chemical structures

Abstract data type, chemical structures system

Additional Structure Data

Aluminas structural data

Antimony structural data

Application of Pharmacophore Fingerprints to Structure-based Design and Data Mining

Array Data Structures

Beilstein Data Structure

Beilstein file, data structure

Berkelium [Contd crystal structure data for

Berkelium crystal structure data for

Biological Data Display with Structures

Biological structure data sources

Bismuth structural data

Bromides crystal structure data for

Brooks data structure

Calcium oxide structure, data

Californium (Contd crystal structure data for

Cambridge Crystallographic Data Centre Structural Database

Cambridge Crystallographic Data Centre crystal structure prediction blind tests

Cambridge Structural Database data format

Cambridge Structural Database hydrogen bonding data

Cambridge structural data base

Carbides crystal structure data for

Ceruloplasmin structural data

Chalcogenide halides structural data

Chemical data structure

Chemical structure Internet data

Chemical structure infrared data correlations with

Chemical structure multivariate data analysis

Chemical structure-DBMS data cross

Chlorides crystal structure data for

Chromium structural data

Classification Modelling of Data Structures

Cluster Analysis Recognition of Inherent Data Structures

Clustering structural data

Cobalt structural data

Complex Carbohydrate Structure Data

Complex halides crystal structure data for

Composite data type molecular structure

Consistency between Electrochemical and Structural Data

Coordination structural data

Copper structural data

Correlation data, structure effects

CrossFire data structure

Crystal structure analysis data collection

Crystal structure data

Crystal structure of CeRhGe3 from neutron data

Crystal structures powder neutron data

Crystal-structure data, for simple carbohydrates and their

Data Correlations with Chemical Structure

Data File Structure

Data Reduction, Structure Solution and Refinement

Data Structure, Temperature Log, and Backup Strategy

Data column molecular structure

Data gathering error structure

Data interchange structures

Data management structural information

Data mining methods, component structure

Data mining protein structure

Data structure, genomic annotation

Data structures for molecular graphs

Databases crystal structure data sources

Detectors providing structural data

Different spectra: structural data

Different spectra: structural data obtainable

Digital computer data structures

Dioxide crystal structure data for

Dioxygen complexes structural data

Double selected structural data

EXAFS most important structural data

Einsteinium crystal structure data for

Elemental data structure

Estimation from chemical structure data

Exact-structure data

Examples of X-ray Scattering Data from Soft Biological Structures

Experimental Data Evolution of Structural Parameters

Experimental data structure

FORTRAN language data structures

Factor Analysis Causes of Data Structures

Force from structural data

Gallides crystal structure data for

General data base structure

Graphical data structure

Graphical data structure description

Graphical data structure forms

Group 15 amides structural data

Halides crystal structure data for

Halides, binary structural data

Hierarchy of multivariate data structures in chemistry

Hydrides crystal structure data for

Influence of the Structure on Mobility Data

Infrared data, phase structure

Inorganic crystal structures, data sources

Integrals data structures

Iodides crystal structure data for

Isotactic polymers structural data

Layers structural data

Local structural data, EXAFS spectra

Macromolecular structure data sources

Main Table Compounds and Structural Data

Mercury structural data

Metal crystal structure data for

Metals, crystal structure data sources

Microwave data, equilibrium structures

Molecular structure biological data integration

Molecular structure data

Molecular structure data, three-dimensional

Molybdenum structural data

Multivariate data chemical structures

Native protein structures decoy data sets

Neptunium crystal structure data for

Neutron powder diffraction structure solution from data

Nickel structural data

Niobium structural data

Nitrides structural data

Obtaining Structure from X-Ray Diffraction Data

Of chemical structures and DBMS data

Oligothiophenes structural data

Operations on Sheaves Via the Structure Data

Organic crystal structures, data sources

Organic structure determination chemical data base

Osmium structural data

Oxidative activation structural data

Oxides crystal structure data for

PDB Protein Data Bank at the Research Collaboratory for Structural Bioinformatics (RCSB)

Pascal language data structures

Plex data structure

Plutonium (Contd crystal structure data for

Pnictides crystal structure data for

Polymers, crystal structure, heat capacity data

Potassium structural data

Powder diffraction structure solution from data

Preparation, Spectroscopic and Structural Data

Protein Data Bank downloading structures from

Protein structural data

Quantitative structure-activity data base system

Quantitative structure-activity data mining

Quantitative structure-activity relationships experimental data

Quantitative structure-retention chromatography data

Quantum structure data

Ray Structural Data of Substituted Tetrahydroborates

Ray Structural Data of Tetrahydroborates

Relating IMS Data to Molecular Structure

Research Collaboratory for Structural Bioinformatics’ Protein Data

Rhenium structural data

Safety Historical Data Structure

Selenides crystal structure data for

Semi-structured data

Sesquioxide crystal structure data for

Silicides crystal structure data for

Silver structural data

Similarity measures structural data

Single structural data

Small-molecule crystal structures, data

Small-molecule crystal structures, data sources

Solution Structures Deduced from LIS Data

Solving Crystal Structures from Powder Neutron Data

Spectral data structure

Spectral data, structural information

Spectral, Structural, and Thermal Data

Spectroscopic Data and Structures

Standard molecular data structure

Statistical analysis of structure data

Structural Characterization SAXS Data

Structural Data Obtainable from Different Spectra

Structural Data and Spectra

Structural Data in Solution

Structural Data in the Solid State

Structural data

Structural data

Structural data mining

Structural data retrieval

Structural data, complexes

Structural data, ’*-core

Structural data, ’*-core complexes

Structural information from spectral data

Structure Determination from X-Ray Powder Data

Structure and Bonding Thermodynamic Data

Structure correlation data

Structure data , file format

Structure data analysis

Structure data base

Structure data base interfaces

Structure data conversion and transformation

Structure data, alkynyliodonium salts

Structure data, three-dimensional

Structure dereplication data collection

Structure determination from powder diffraction data

Structure factor data

Structure factors from powder diffraction data

Structure of Arenium Ions According to Physical Data

Structure of thermodynamic data sets

Structure solution from powder data

Structure-activity relationships data mining

Structure-based chemical data systems

Structure-based chemical data systems development

Structured alphanumeric data

Structured data

Structured data

Structured experimental design data

Structured packings technical data

Structures Determined using NMR Data

Structures Hampden Data Services

Structures and physical data

Structures with Biological Data

Sulfoxide complexes structural data

Summary of Structural Data

Summary of Structural Data for Boron Carbide

Superconductor structural data

Syndiotactic polymers structural data

Synopsis of Trifluoromethyl Metal Structural Data

Tantalum structural data

Tc complexes, structural data

Technetium structural data

Tetrafiuoride crystal structure data for

The Protein Data Bank, Three-Dimensional Structures, and Computation

Thermodynamic Data and Structures

Thorium (Contd crystal structure data for

Three-dimensional structural data bases

Time Dependent Structure of Profile Data

Transferring molecular structure data

Transferring molecular structure data various approaches

Transition metal clusters structural data

Trichloride crystal structure data for

Tungsten structural data

X-Ray Crystal Structure Data

X-ray absorption fine structure data

X-ray structural data

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