928 resultados para Systems of Linear Diophantine Constraints


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We explicitly construct a closed system of differential equations describing the electromagnetic and gravitational interactions among bodies to first order in the coupling constants, retaining terms up to order c-2. The Breit and Barker and O'Connell Hamiltonians are recovered by means of a coordinate transformation. The method used throws light on the meaning of these coordinates.

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We compute up to and including all the c-2 terms in the dynamical equations for extended bodies interacting through electromagnetic, gravitational, or short-range fields. We show that these equations can be reduced to those of point particles with intrinsic angular momentum assuming spherical symmetry.

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We conduct a large-scale comparative study on linearly combining superparent-one-dependence estimators (SPODEs), a popular family of seminaive Bayesian classifiers. Altogether, 16 model selection and weighing schemes, 58 benchmark data sets, and various statistical tests are employed. This paper's main contributions are threefold. First, it formally presents each scheme's definition, rationale, and time complexity and hence can serve as a comprehensive reference for researchers interested in ensemble learning. Second, it offers bias-variance analysis for each scheme's classification error performance. Third, it identifies effective schemes that meet various needs in practice. This leads to accurate and fast classification algorithms which have an immediate and significant impact on real-world applications. Another important feature of our study is using a variety of statistical tests to evaluate multiple learning methods across multiple data sets.

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This paper presents a new method to analyze timeinvariant linear networks allowing the existence of inconsistent initial conditions. This method is based on the use of distributions and state equations. Any time-invariant linear network can be analyzed. The network can involve any kind of pure or controlled sources. Also, the transferences of energy that occur at t=O are determined, and the concept of connection energy is introduced. The algorithms are easily implemented in a computer program.

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We develop several results on hitting probabilities of random fields which highlight the role of the dimension of the parameter space. This yields upper and lower bounds in terms of Hausdorff measure and Bessel-Riesz capacity, respectively. We apply these results to a system of stochastic wave equations in spatial dimension k >- 1 driven by a d-dimensional spatially homogeneous additive Gaussian noise that is white in time and colored in space.

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It is well known the relationship between source separation and blind deconvolution: If a filtered version of an unknown i.i.d. signal is observed, temporal independence between samples can be used to retrieve the original signal, in the same manner as spatial independence is used for source separation. In this paper we propose the use of a Genetic Algorithm (GA) to blindly invert linear channels. The use of GA is justified in the case of small number of samples, where other gradient-like methods fails because of poor estimation of statistics.

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Postprint (published version)

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Finnish food producers' trade with Russia has experienced profound changes since the collapse of the Soviet Union. Simultaneously, the distribution systems of foodstuffs have changed remarkably. This study sheds some light into these changes and analyses the current situation in distribution systems of foodstuffs in Russia. In addition, the study discusses the possibilities of Finnish food producers to get more of their products to the shelves of Russian food retail stores. Before the 1998 financial crisis, the import of foreign foodstuffs was booming in Russia due to the overvalued rouble. As a result of the financial crisis, food import collapsed. The export of Finnish foodstuffs to Russia has been slowly recovering during the past few years, but in the most important product categories the pre-crisis levels have so far not been reached and maybe will not be reached. In certain product categories the growth has been only marginal. It seems that starting localproduction will become increasingly important in the future. This is further encouraged by the fact that Russian consumers favour domestic food products. Russian consumers are very price conscious and demand quality in food products. The perceived price-quality ratio is an important criterion in the purchase decision.The majority of foodstuff retail is still conducted via unorganised forms of trade (e.g. kiosks and marketplaces) but modern retail chains are developing at a fast pace in Russia. They are also expected to dominate the retail trade in foodstuffs over the unorganised forms of trade in the future. This will change the distribution systems as well. The retail chains are trying to shorten the distribution chain, similarly to what has been seen in the Western countries. This together with the strengthening of retail chains is likely to shrink the role of wholesalers, as the chains increasingly want to work directly with the producers. Many large retail chains are acquiring or have already acquired a distribution centre or centres in order to boost efficiency and control the flow of products. The strengthening of the retail chains also gives them power in negotiations, which the producers and distributors have to adjust to. For example store entry fees and retail chains' own private label products pose challenges to the food producers. In the food production sector the competition is fierce, as large Russianand foreign producers want to ensure their piece of the market. The largest producers utilise their size: they invest in big marketing campaigns and are willing to pay high entry fees to retail chains in order to secure a place on the store shelves and to build a strong brand in Russia. This complicates the situation from the viewpoint of small producers. Currently, the most popular type of distribution system among the interviewed Finnish food producers is based on a network of local distributors. There is, however, a strong consensus on the importanceof starting local production in order to be a serious actor in Russia in the future. Factors that hinder the starting of local production include the lack of local infrastructure and qualified staff, and the low risk tolerance of Finnish firms. Major barriers for entry in Russia are the actions of authorities, fierce competition, fragmented market and Finnish producers' heavy production costs. The suggested strategies for increasing the market share include focusing geographically or segment-wise, introducing new products, starting local production, andcooperation between Finnish producers. Smallness was one reason why Finnish producers had to cut down their operations in Russia due to the 1998 crisis. Smaller producers had fewer resources to tolerate losses during the period of crisis. Smallness is reflected also on trade negotiations with retail chains and distributors. It makes it harder to cope with the store entry fees and to differentiatefrom the mass of products propped up by expensive advertising. Finally, it makes it harder for Finnish producers to start or expand local production, as it is more difficult for a small producer to get financing and to tolerate the increased risks. Compensating for the smallness might become the crucial factor determining the future success of Finnish food producers in the Russian market.

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Adaptació de l'algorisme de Kumar per resoldre sistemes d'equacions amb matrius de Toeplitz sobre els reals a cossos finits en un temps 0 (n log n).

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This work proposes the detection of red peaches in orchard images based on the definition of different linear color models in the RGB vector color space. The classification and segmentation of the pixels of the image is then performed by comparing the color distance from each pixel to the different previously defined linear color models. The methodology proposed has been tested with images obtained in a real orchard under natural light. The peach variety in the orchard was the paraguayo (Prunus persica var. platycarpa) peach with red skin. The segmentation results showed that the area of the red peaches in the images was detected with an average error of 11.6%; 19.7% in the case of bright illumination; 8.2% in the case of low illumination; 8.6% for occlusion up to 33%; 12.2% in the case of occlusion between 34 and 66%; and 23% for occlusion above 66%. Finally, a methodology was proposed to estimate the diameter of the fruits based on an ellipsoidal fitting. A first diameter was obtained by using all the contour pixels and a second diameter was obtained by rejecting some pixels of the contour. This approach enables a rough estimate of the fruit occlusion percentage range by comparing the two diameter estimates.

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In this paper we provide a formal account for underapplication of vowel reduction to schwa in Majorcan Catalan loanwords and learned words. On the basis of the comparison of these data with those concerning productive derivation and verbal inflection, which show analogous patterns, in this paper we also explore the existing and not yet acknowledged correlation between those processes that exhibit a particular behaviour in the loanword phonology with respect to the native phonology of the language, those processes that show lexical exceptions and those processes that underapply due to morphological reasons. In light of the analysis of the very same data and taking into account the aforementioned correlation, we show how there might exist a natural diachronic relation between two kinds of Optimality Theory constraints which are commonly used but, in principle, mutually exclusive: positional faithfulness and contextual markedness constraints. Overall, phonological productivity is proven to be crucial in three respects: first, as a context of the grammar, given that «underapplication» is systematically found in what we call the productive phonology of the dialect (including loanwords, learned words, productive derivation and verbal inflection); second, as a trigger or blocker of processes, in that the productivity or the lack of productivity of a specific process or constraint in the language is what explains whether it is challenged or not in any of the depicted situations, and, third, as a guiding principle which can explain the transition from the historical to the synchronic phonology of a linguistic variety.

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The objective of the thesis is to enhance the understanding about the management of the front end phases of the innovation process in a networked environment. The thesis approaches the front end of innovation from three perspectives, including the strategy, processes and systems of innovation. The purpose of the use of different perspectives in the thesis is that of providing an extensive systemic view of the front end, and uncovering the complex nature of innovation management. The context of the research is the networked operating environment of firms. The unit of analysis is the firm itself or its innovation processes, which means that this research approaches the innovation networks from the point of view of a firm. The strategy perspective of the thesis emphasises the importance of purposeful innovation management, the innovation strategy of firms. The role of innovation processes is critical in carrying out innovation strategies in practice, supporting the development of organizational routines for innovation, and driving the strategic renewal of companies. The primary focus of the thesis from systems perspective is on idea management systems, which are defined as a part of innovation management systems, and defined for this thesis as any working combination of methodology and tools (manual or IT-supported) that enhance the management of innovations within their early phases. The main contribution of the thesis are the managerial frameworks developed for managing the front end of innovation, which purposefully “wire” the front end of innovation into the strategy and business processes of a firm. The thesis contributes to modern innovation management by connecting the internal and external collaboration networks as foundational elements for successful management of the early phases of innovation processes in a dynamic environment. The innovation capability of a firm is largely defined by its ability to rely on and make use of internal and external collaboration already during the front end activities, which by definition include opportunity identification and analysis, idea generation, profileration and selection, and concept definition. More specifically, coordination of the interfaces between these activities, and between the internal and external innovation environments of a firm is emphasised. The role of information systems, in particular idea management systems, is to support and delineate the innovation-oriented behaviour and interaction of individuals and organizations during front end activities. The findings and frameworks developed in the thesis can be used by companies for purposeful promotion of their front end processes. The thesis provides a systemic strategy framework for managing the front end of innovation – not as a separate process, but as an elemental bundle ofactivities that is closely linked to the overall innovation process and strategy of a firm in a distributed environment. The theoretical contribution of the thesis relies on the advancement of the open innovation paradigm in the strategic context of a firm within its internal and external innovation environments. This thesis applies the constructive research approach and case study methodology to provide theoretically significant results, which are also practically beneficial.

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This paper analyses how fiscal adjustment comes about when both central and sub-national governments are involved in consolidation. We test sustainability of public debt with a fiscal rule for both the federal and regional government. Results for the German Länder show that lower tier governments bear a relatively smaller part of the burden of debt consolidation, if they consolidate at all. Most of the fiscal adjustment occurs via central government debt. In contrast, both the US federal and state levels contribute to consolidation of public finances.