This work aims to discuss a proposed solution for wave equations that utilize discretization by means of the finite difference method, weighted by a parameter η, with sweeping done according to the time-stepping meth...
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In this article,we improve the order of precision of the two-dimensional Poisson equation by combining extrapolation techniques with high order *** high order solutions obtained traditionally generate non-sparse matri...
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In this article,we improve the order of precision of the two-dimensional Poisson equation by combining extrapolation techniques with high order *** high order solutions obtained traditionally generate non-sparse matrices and the calculation time is very *** can obtain sparse matrices by applying compact *** this article,we compare compact and exponential finite difference schemes of fourth *** numerical solutions are calculated in quadruple precision(Real*16 or extended precision)in FORTRAN language,and iteratively obtained until reaching the round-off error magnitude around 1.0E−*** procedure is performed to ensure that there is no iteration *** Repeated Richardson Extrapolation(RRE)method combines numerical solutions in different grids,determining higher orders of *** main contribution of this work is based on a process that initializes with fourth order solutions combining with RRE in order to find solutions of sixth,eighth,and tenth order of *** multigrid Full Approximation Scheme(FAS)is also applied to accelerate the convergence and obtain the numerical solutions on the fine grids.
This work aims to evaluate a parallelizable approximate solution model for the wave equation. For that, we used the temporal sweep known as the Waveform Relaxation method to guarantee the parallelization in space. How...
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Studies of problems involving physical anisotropy are applied in sciences and engineering,for instance,when the thermal conductivity depends on the *** this study,the multigrid method was used in order to accelerate t...
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Studies of problems involving physical anisotropy are applied in sciences and engineering,for instance,when the thermal conductivity depends on the *** this study,the multigrid method was used in order to accelerate the convergence of the iterative methods used to solve this type of *** asymptotic convergence factor of the multigrid was determined empirically(computer aided)and also by employing local Fourier analysis(LFA).The mathematical model studied was the 2D anisotropic diffusion equation,in whichε>0 was the coefficient of a *** equation was discretized by the Finite Difference Method(FDM)and Central Differencing Scheme(CDS).Correction Scheme(CS),pointwise Gauss-Seidel smoothers(Lexicographic and Red-Black ordering),and line Gauss-Seidel smoothers(Lexicographic and Zebra ordering)in x and y directions were used for building the *** best asymptotic convergence factor was obtained by the Gauss-Seidel method in the direction x for 0<ε<<1 and in the direction y forε>>*** this sense,an xy-zebra-GS smoother was proposed,which proved to be efficient and robust for the different anisotropy ***,the convergence factors calculated empirically and by LFA are in agreement.
The effects of vehicle-structure interaction have a significant effect on the dynamic responses of both the vehicle and the structure with several applications within the railways field. When the vehicle loads are cap...
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The timetabling problem is, as best as possible, allocate teachers at their respective classes, to meet with their students, so that it complies with the amount of weekly lessons of discipline. Many basic education in...
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ISBN:
(纸本)9788494392825
The timetabling problem is, as best as possible, allocate teachers at their respective classes, to meet with their students, so that it complies with the amount of weekly lessons of discipline. Many basic education institutions still do this work manually, since commercial softwares to solve this problem are considered high cost, especially for public schools, and softwares available on the web sometimes do not give good solutions. Thus, is demanded a lot of time in the pursuit of meeting the preference of requests from teachers, maybe creating windows, twinned lessons or isolated lessons. In this context, this research seeks to resolve problems such as those mentioned using a metaheuristics and compare the quality of the solution obtained with the use of exact method since metaheuristics admit possible to determine a feasible solution even not getting the optimal solution to the problem. Moreover, the mathematical modeling problem will be penalized the solutions having the undesirable characteristics, increasing the likelihood that the model itself select the solutions with better performance.
In this paper we propose a methodology to classify Power Quality for feeders, based on sags and by the use of KDD technique, establishing a quality level printed in labels. To support the methodology, it was applied t...
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ISBN:
(纸本)9789898565778
In this paper we propose a methodology to classify Power Quality for feeders, based on sags and by the use of KDD technique, establishing a quality level printed in labels. To support the methodology, it was applied to feeders on a substation located in Curitiba, Paraná, Brazil, based on attributes such as sag length, duration and frequency (number of occurrences on a given period of time). In the search for feeders quality classification, on the Data Mining stage, the main stage on KDD process, three different techniques were used in a comparatively way for pattern recognition: Artificial Neural Networks, Support Vector Machines an Genetic Algorithms. Those techniques presented acceptable results in classification feeders with no possible classification using a simplified method based on maximum number of sags. Thus, by printing the label with information and Quality level, utilities companies can get better organized for mitigation procedures, by establishing clear targets.
Engineers tend to use different software to perform tasks such as geometry modeling, database management, numerical analysis, and visualization. This may cause decrease of productivity and loss of information during t...
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Engineers tend to use different software to perform tasks such as geometry modeling, database management, numerical analysis, and visualization. This may cause decrease of productivity and loss of information during the conversion process between different data file formats. This paper presents a computer aided design (CAD) and computer aided engineering (CAE) system integration using scientific visualization tools and techniques. It deals with the development of a 3D CAD add-in for lighting analysis which uses the CAD model as 3D interface for creating a lighting scheme, processing, and visualizing 2D or 3D illuminance fields. Visualization features as color and contour mapping were developed using the visualization toolkit (VTK) toolkit. The application integrates all functionalities of the 3D CAD with tools for light sources database management, pre-processing, processing, and post-processing of illuminance fields in a single environment. This approach increases productivity and eliminates the need for different software.
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