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SOFTWARE Subject

Software subject to change becomes less and less structured and thus becomes more complex. Extra effort is required when implementing changes to avoid increasing complexity. [Pg.80]

Listings of software subjected to detailed low-level walkthrough should be annotated with the reviewer s comments. Conventionally this has entailed handwritten comments on printed software... [Pg.220]

The media and/or any online materials accompanying this book that are available now or in the future contain programs and/or text files (the "Software") to be used in connection with the book. SYBEX hereby grants to you a license to use the Software, subject to the terms that follow. Your purchase, acceptance, or use of the Software will constitute your acceptance of such terms. [Pg.876]

Eckhardt, D.E., Lee L.D. 1985. A theoretical basis for the analysis of multiversion software subject to coincident errors. In IEEE Transactions on Software Engineering, SE-11 (72), pp.1511-1517. [Pg.469]

Spiral Model Also known as build a little, test a little, the Spiral model is used mostly for software development. Use of this model requires stakeholders with software subject matter expertise, and management commitment to keep knowledgeable personnel o the development team throughout the iterative steps of project execution. [Pg.27]

Some aspects, such as the computer representation and manipulation of proteins and nucleic acids, could not be covered. Even the modeling of the interactions of small molecules with proteins, as dealt with in docking software or software for de novo design could not be included in the Textbook, although chapters in the Handbook do treat these subjects. [Pg.12]

At one time, computational chemistry techniques were used only by experts extremely experienced in using tools that were for the most part difficult to understand and apply. Today, advances in software have produced programs that are easily used by any chemist. Along with new software comes new literature on the subject. There are now books that describe the fundamental principles of computational chemistry at almost any level of detail. A number of books also exist that explain how to apply computational chemistry techniques to simple calculations appropriate for student assignments. There are, in addition, many detailed research papers on advanced topics that are intended to be read only by professional theorists. [Pg.396]

This book was designed to aid in research, rather than as a primary text on the subject. However, students may find some sections helpful. Advanced undergraduate students and graduate students will find the basic topics and applications useful. Beginners are advised to first become familiar with the use of computational chemistry software before delving into the advanced topics section. It may even be best to come back to this book when problems arise during computations. Some of the information in the advanced topics section is not expected to be needed until postgraduate work. [Pg.397]

A fundamental requirement for obtaining a patent is defining an advance, development, or invention which is within those classes of "subject matter" which the law of the United States regards as patentable. Two classes of patentable subject matter, ie, computer software and biotechnology, are the subject of relatively new and evolving law. However, other types of subject matter rest on fairly certain ground as to patentabiUty. Examples of patents directed to various types of subject matter are described in the following. [Pg.29]

Once the objective and the constraints have been set, a mathematical model of the process can be subjected to a search strategy to find the optimum. Simple calculus is adequate for some problems, or Lagrange multipliers can be used for constrained extrema. When a Rill plant simulation can be made, various alternatives can be put through the computer. Such an operation is called jlowsheeting. A chapter is devoted to this topic by Edgar and Himmelblau Optimization of Chemical Processes, McGraw-HiU, 1988) where they list a number of commercially available software packages for this purpose, one of the first of which was Flowtran. [Pg.705]

These multicomponent calculations are now computerized, and complicated systems, such as tire Si-C-H-Cl quaternaty, may be solved by the use of commercially available software, e. g. the IVTAN database. The solution to this multicomponent system which is obtained by this means is somewhat subjective, since, at the time of writing for example, data are available for 72 gaseous species in the quaternary system Si-C-H-Cl. Choosing 19 of the most probable of tlrese, and using tire IVTAN software to solve this multicomponent equilibrium, yields the following results for tire most probable species (see Table 3.2). [Pg.97]

Now, the objective function of utility cost can be minimized subject to the set of constraints (9.10)-(9.18), This formulation is a linear program which can be solved using commercially available software (e.g., LINGO). [Pg.231]

Each of these sine functions represents a discrete component of the vibration signature discussed previously. The amplitudes of each discrete component and their phase angles can be determined by integral calculus when the function /(f) is known. Because the subject of integral calculus is beyond the scope of this chapter, the math required to determine these integrals are not presented. A vibration analyzer and its associated software perform this determination using FFT. [Pg.686]

Appendix A provides a brief description of several existing hardware and software tools designed for CA research. Appendix B contains a useful list of CA and more general c omplcxity-related information sources availabk on the World Wide Web (WWW), subject-sorted into a total of 91 WWW Universal Resource Loc a-tor (URL) links in 16 categories. The book is indexed and includes an extensive bibliography. [Pg.20]

There are three major steps to a patent search. (1) There is the US Patent Classification System that is a sort of subject index to all patents, (2) CASSIS is a computerized software information system provided by the USA patent office, and (3) review the patent that takes time involves the weekly official worldwide gazettes, magazines, etc. There are many ways available to search the patent database in both US and worldwide, but one web that is particularly useful to the novice or occasional searcher is one offered by IBM locate at http //www patents.IBM.com... [Pg.289]

The computer has become an accepted part of our daily lives. Computer applications in applied polymer science now are focussing on modelling, simulation, robotics, and expert systems rather than on the traditional subject of laboratory instrument automation and data reduction. The availability of inexpensive computing power and of package software for many applications has allowed the scientist to develop sophisticated applications in many areas without the need for extensive program development. [Pg.3]

Errors and Inconsistencies in Adverse Event Coding. Adverse events are also subject to errors and inconsistencies by coders and data entry personnel. Many of these inconsistencies become very important when adverse events are analyzed by automated software. [Pg.656]

The data from sensory evaluation and texture profile analysis of the jellies made with amidated pectin and sunflower pectin were subjected to Principal component analysis (PC) using the statistical software based on Jacobi method (Univac, 1973). The results of PC analysis are shown in figure 7. The plane of two principal components (F1,F2) explain 89,75 % of the variance contained in the original data. The attributes related with textural evaluation are highly correlated with the first principal component (Had.=0.95, Spr.=0.97, Che.=0.98, Gum.=0.95, Coe=0.98, HS=0.82 and SP=-0.93). As it could be expected, spreadability increases along the negative side of the axis unlike other textural parameters. [Pg.937]

Software and computer systems that are subject to validation must be designed using strict procedures with sufficient documentation. During the process of system design, strict controls must be in place to allow future validation success. The system designer must ensure that documentation of the system meets minimum requirements necessary to satisfy the needs of the validation team. [Pg.1055]


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