Scientific software

The requiiements for scientific software development have continually increased. Besides the algorithmic core functionality, nowadays there is often a demand for a graphical user interface. In addition to the increasing importance of this visible component, which may still be seen as just an add-on, the software development itself has to fulfill stronger demands on software engineering requirements, such as maintainability and recoverability. [Pg.627]

SigmaStat stat analysis package Jandel Scientific Software... [Pg.169]

Scientific software tends to be better equipped for handling and presenting complex data than the commonly available business graph packages, but even when one knows which options to choose, the limits that two-dimensional paper imposes remain in place. [Pg.134]

M. G. Cox and P. M. Harris, Design and use of reference data sets for testing scientific software, Analytica Chimica Acta, 380, 339-351 (1999). [Pg.173]

Ultimately, software is bought to accomplish a business result. Therefore, software offerings in pharmaceutical R D ought to somehow accelerate R D productivity, or at least give cost savings along the pipeline. Yet the reality is that most scientific software is not sold on the basis of delivering... [Pg.425]

OMEGA, OpenEye Scientific Software, Santa Ee, NM, USA, http //www. eyesopen.com. [Pg.181]

A. Thielemans, M.P. Derde and D.L. Massart, CLUE. Elsevier Scientific Software, Elsevier, Amsterdam, 1985. [Pg.86]

Scilab - scientific software package for numerical computations (Freeware) http //www.scilab.org... [Pg.62]

Early scientific software packages focused on compilers, individual applications, and specific aspects of computer support such as statistics. More recently, software packages provide a broad, integrated, easy to use, and extensible set of capabilities to support research data management. RS/1 (TM) is described as an example of modern scientific software. [Pg.23]

It is indicative of the growing importance of the scientific software market that a major corporation, Bolt Beranek and Newman Inc. (BBN), has recently formed a new business activity called BBN Software Products, focused entirely on developing software for science. BBN Software Products leading software product,... [Pg.23]

Based on their corporate experience in supporting their own research and development projects as well as a number of government-sponsored activities, the development of scientific software at BBN grew out of a long history of support of a variety of scientific applications. For example, in the 1960 s, BBN developed a hospital information system for Massachusetts General Hospital which used an early minicomputer, the PDP-1, to support clinical research activities. Under the sponsorship of the National Institutes of Health, they developed a system called PROPHET (1) which provides a... [Pg.23]

RS/1 represents a distinct contrast to earlier scientific software. In general, early software used by scientists took three primary forms. (1) Languages such as FORTRAN, BASIC, and PASCAL were helpful in supporting highly computational applications, but were not designed to support research data management. [Pg.24]

In order to understand the characteristics of state-of-the-art scientific software, a description of the facilities of the RS/1 system is presented in this section as an example of the kind of software now available to support scientific data management needs. All facilities are based in a single integrated system. No extra steps are needed, for example, to use tabular data as the basis for statistics or to graph the results of modeling. [Pg.24]

Scientific software packages are beginning to have a large impact on productivity in research organizations. In a major pharmaceutical research and development organization at Merck,... [Pg.29]

Advances in computer science continue to serve as the basis for new extensions to software products. In particular, artificial intelligence techniques have begun to mature to the point at which they can play a role in scientific software. In the future, scientific software will incorporate expert systems technology in order to provide a new level of assistance to scientists in applying statistical and graphical techniques to data analysis. [Pg.30]

Two major areas are likely to be the focus of expert systems in the scientific software area assisting users without extensive statistical training in starting to use statistics, and helping design multifactor experiments. [Pg.30]

Muhr, T. Atlas.ti (Version 4.2) [Windows], Berlin Scientific Software Development, 1997. [Pg.172]

MicroMath Scientific Software, Salt Lake City, UT. [Pg.724]

OpenEye Scientific Software Inc OEChem Toolkit, Santa Fe, NM, USA, 2009. www.eyesopen.com... [Pg.346]

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