950 resultados para Logistic maps


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The study of simple chaotic maps for non-equilibrium processes in statistical physics has been one of the central themes in the theory of chaotic dynamical systems. Recently, many works have been carried out on deterministic diffusion in spatially extended one-dimensional maps This can be related to real physical systems such as Josephson junctions in the presence of microwave radiation and parametrically driven oscillators. Transport due to chaos is an important problem in Hamiltonian dynamics also. A recent approach is to evaluate the exact diffusion coefficient in terms of the periodic orbits of the system in the form of cycle expansions. But the fact is that the chaotic motion in such spatially extended maps has two complementary aspects- - diffusion and interrnittency. These are related to the time evolution of the probability density function which is approximately Gaussian by central limit theorem. It is noticed that the characteristic function method introduced by Fujisaka and his co-workers is a very powerful tool for analysing both these aspects of chaotic motion. The theory based on characteristic function actually provides a thermodynamic formalism for chaotic systems It can be applied to other types of chaos-induced diffusion also, such as the one arising in statistics of trajectory separation. It was noted that there is a close connection between cycle expansion technique and characteristic function method. It was found that this connection can be exploited to enhance the applicability of the cycle expansion technique. In this way, we found that cycle expansion can be used to analyse the probability density function in chaotic maps. In our research studies we have successfully applied the characteristic function method and cycle expansion technique for analysing some chaotic maps. We introduced in this connection, two classes of chaotic maps with variable shape by generalizing two types of maps well known in literature.

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When simulation modeling is used for performance improvement studies of complex systems such as transport terminals, domain specific conceptual modeling constructs could be used by modelers to create structured models. A two stage procedure which includes identification of the problem characteristics/cluster - ‘knowledge acquisition’ and identification of standard models for the problem cluster – ‘model abstraction’ was found to be effective in creating structured models when applied to certain logistic terminal systems. In this paper we discuss some methods and examples related the knowledge acquisition and model abstraction stages for the development of three different types of model categories of terminal systems

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Starting with logratio biplots for compositional data, which are based on the principle of subcompositional coherence, and then adding weights, as in correspondence analysis, we rediscover Lewi's spectral map and many connections to analyses of two-way tables of non-negative data. Thanks to the weighting, the method also achieves the property of distributional equivalence

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Self-organizing maps (Kohonen 1997) is a type of artificial neural network developed to explore patterns in high-dimensional multivariate data. The conventional version of the algorithm involves the use of Euclidean metric in the process of adaptation of the model vectors, thus rendering in theory a whole methodology incompatible with non-Euclidean geometries. In this contribution we explore the two main aspects of the problem: 1. Whether the conventional approach using Euclidean metric can shed valid results with compositional data. 2. If a modification of the conventional approach replacing vectorial sum and scalar multiplication by the canonical operators in the simplex (i.e. perturbation and powering) can converge to an adequate solution. Preliminary tests showed that both methodologies can be used on compositional data. However, the modified version of the algorithm performs poorer than the conventional version, in particular, when the data is pathological. Moreover, the conventional ap- proach converges faster to a solution, when data is \well-behaved". Key words: Self Organizing Map; Artificial Neural networks; Compositional data

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Wikiloc es un servicio web gratuito para visualizar y compartir rutas y puntos de interés GPS. Utilizando software libre y la API de Google Maps, Wikiloc hace la función de base de datos personal de localizaciones GPS. Desde cualquier acceso a Internet un usuario de GPS puede cargar sus datos GPS y al momento visualizar la ruta y waypoints con distinta cartografía de fondo, incluidos servidores de mapas externos WMS (Web Map Service) o descargarlo a Google Earth para ver en 3D. Paralelamente se muestra el perfil de altura, distancia, desniveles acumulados y las fotos o comentarios que el usuario quiera añadir

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Resumen tomado de la publicaci??n

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In this section, you will find maps showing various important aspects of the River Tyne catchment area. All the maps are drawn based on Ordnance Survey data made available via the Digimap service. For the land cover maps of the catchment area, four variants are provided. Please note that the full details of the intext citations quoted in some of the following maps can be found in the full bibliographic listing.

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Exercises and solutions in PDF

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Exercises and solutions in LaTex

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This PowerPoint outlines the main points that you need to consider when adding figures to your thesis, including resolution, file format and copyright.

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Pretende desarrollar en los niños las habilidades de un verdadero geógrafo. A lo largo de esta publicación los alumnos pueden adquirir diferentes habilidades en el manejo de los mapas incluidas análisis de datos, trabajar con gráficos, diagramas, fotografías e interpretar fotografías aéreas. Tiene glosario, índice y direcciones de Internet donde puede encontrarse más información.

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El rápido crecimiento de mapas en internet, atlas digitales y Sistemas de Información Geográfica (SIG) exige nuevas habilidades, junto con las tradicionales como la localización de lugares utilizando un mapa. Este recurso explica a los niños y a los jóvenes cómo leer, comprender e interpretar los mapas y a los profesores la manera más eficaz de enseñar con los mapas. Presta especial atención a la forma de aprendizaje con este material que puede contribuir al desarrollo cognitivo y a desarrollar habilidades en aritmética. Describe cómo los profesores pueden planificar un programa de estudios y sugiere actividades para los alumnos desde la escuela primaria a la secundaria. Incluye todos los aspectos del uso de mapas, que abarca todas las modalidades, incluidas los globos y atlas. El texto está ampliamente ilustrado con ejemplos, incluyendo los mapas realizados por los propios niños con materiales convencionales, así como programas informáticos. Una característica particular de este recurso es la integración de mapas digitales y convencionales, de internet adecuados a las necesidades de educación primaria y secundaria. Tiene apéndice con web de organizaciones y recursos citados en el texto, bibliografía e índice alfabético.

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Introduce a los estudiantes entre seis y nueve años en los elementos básicos de los mapas y cómo se utilizan. Apoya la enseñanza acerca de los tipos de mapas, lugares y localidades más allá del medio inmediato de los niños. Con esta publicación pueden conocen cómo el globo terráqueo puede caber en un mapa plano, por qué se usan símbolos en los mapas, los puntos cardinales, meridianos y paralelos, latitud y longitud, cómo los cartógrafos dibujan los mapas, las imágenes por satélite y GPS. Incluye actividades.