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Software methods

This line of research has not lost his momentum. One of the reasons is the eontinuing progress in the computer hardware and software. Methods and algorithms are, and will be, continuously updated to exploit new features made available by eomputer seienee, as for example the parallel architectures, or the neuronal networks, to mention things at present of widespread interest, or even conceptually less significant improvements, as the inerease of fast memory in commereial computers. Computer quantum chemistry is not a mere recipient of progresses in eomputer seienee. Many progresses in the software comes from... [Pg.5]

The filter version of the method is a truly continuous process, as opposed to the batch process that the iterative representation implies. Furthermore, no approximation is necessary in deriving the filter version. The output of the filter is precisely the same as that of the basic iterative constrained software method. Bearing in mind that only a modest lag results, one may think of it as a real-time implementation. In an alternative approach, a laboratory computer might apply a purely software version of this filter to spectra continuously as data are acquired. The filter may also be packaged in firmware as part of a microprocessor-based instrument. Other applications also suggest themselves. [Pg.111]

Validation policy (process, cleaning, sterilization, software, methods, etc.)... [Pg.484]

D chromatography Two chromatographs (special software) Methods for each dimension This work This work 11, 12, 14, this work... [Pg.226]

Many membrane operations are practically based on the same hardware (materials), only differing in their software (methods). The basic properties of membrane operations make them ideal for industrial production they are simple in concept and operation they are modular and easy to scale-up and they are low in energy consumption with a remarkable potential for a more rational utilization of raw materials, and recovery and reuse of by-products. [Pg.1131]

Compliance with 11CFR part 35 should provide adequate proof of the ruggedness and robustness of the system software. Method developers must consider tests to evaluate algorithm stability during the development and validation processes. [Pg.129]

Luczak, H./ Bullinger, H.-J./ Schlick, C./ Ziegler, J. Support of Flexible Production by Software-Methods, Systems, Examples (in German), Springer-Verlag (2001)... [Pg.775]

NMR software Methods for fast interpretation of NMR data for protein structure analysis University of Utrechr... [Pg.71]

This software method results in a mass loss curve where the end of acid loss is clearly defined as shown in Fig. 3.39. In this example the add mass loss is 18.4% and from Eq. (3.34) corresponds to a vinyl acetate content of 26.3%. The vinyl acetate level for this EVA copolymer reported by the manufacturer was 28%. [Pg.306]

Part 6 of the document specifically addresses software. Methods defined by the ISO/DIS 26262 standard should be selected according to the ASIL (the higher the ASIL, the more rigorous the methods). [Pg.193]

The outcomes from random experiments are often represented by an uppercase variable such as X. This is called a random variable, and its occurrence value is described by a probabilistic model, or probability density function. Formally, a random variable is a real-valued function defined on the sample space. Using our examples of experiments, a random variable X might represent the CPU time of a software method, or the glucose level of a patient. The observed value of a random variable X is denoted by a lowercase x. A random variable X might represent the number of failures of piston rings in a compressor, and would indicate that we observed, for example, 7 piston ring failures. [Pg.244]

Collier MB, Kraay MJ, Rimnac CM, Goldberg VM. Evaluation of contemporary software methods used to quantify polyethylene wear after total hip arthroplasty. J Bone Joint Surg 2003 December ... [Pg.518]


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