8,498,246 research outputs found

    Fast Calculation Methods in Collective Dynamical Models of Beam/Plasma Physics

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    We consider an application of modification of our variational-wavelet approach to some nonlinear collective model of beam/plasma physics: Vlasov/Boltzmann-like reduction from general BBGKY hierachy related to modeling of propagation of intense charged particle beams in high-intensity accelerators and transport systems. We use fast convergent multiscale variational-wavelet representations for solutions which allow to consider polynomial and rational type of nonlinearities. The solutions are represented via the multiscale decomposition in nonlinear high-localized eigenmodes (waveletons). In contrast with different approaches we do not use perturbation technique or linearization procedures.Comment: 4 pages, 2 figures, JAC2001.cls, presented at European Particle Accelerator Conference (EPAC02), Paris, June 3-7, 2002; changed from A4 to US format for correct printin

    Employing Classifying Terms for Testing Model Transformations

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    This contribution proposes a new technique for developing test cases for UML and OCL models. The technique is based on an approach that automatically constructs object models for class models enriched by OCL constraints. By guiding the construction process through so-called classifying terms, the built test cases in form of object models are classified into equivalence classes. A classifying term can be an arbitrary OCL term on the class model that calculates for an object model a characteristic value. From each equivalence class of object models with identical characteristic values one representative is chosen. The constructed test cases behave significantly different with regard to the selected classifying term. By building few diverse object models, properties of the UML and OCL model can be explored effectively. The technique is applied for automatically constructing relevant source model test cases for model transformations between a source and target metamodel.Universidad de MĂĄlaga. Campus de Excelencia Internacional AndalucĂ­a Tech

    Images and Models of Thought

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    One really extraordinary ability of the mind is its capacity to match objects and form plausible hypotheses from just a few elements that we see through our eyes. We recognize a feather even if it is mostly covered by a book sitting on top of it. Even if we cannot see the whole shape, we recognize it as pertaining to a category, a set of objects called “feathers”. If by imagination we mean the ability to represent things for ourselves that are not present in the act of sensing, we should realize that the hypothesis of the feather is an imaginative construction of the mind, a mental representation, a model referred to by the sensory input
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