Numerical Algorithms
Mostrando 1-12 de 174 artigos, teses e dissertações.
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1. Efficient Low-Complexity Optimized Channel Estimating Methods for OFDM-Based Low-Voltage Broadband Power Line Communication Systems
Abstract Broadband Power Line Communication (BB-PLC) technology enables data transmission for smart grid applications. Nevertheless, channel equalizers are required in the receiver to estimate and compensate for the nonlinear time-variant impulse response and noise interference effects introduced by the BB-PLC channel. In this paper, we append the Particle S
Journal of Microwaves, Optoelectronics and Electromagnetic Applications. Publicado em: 2022
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2. A Genetic Algorithm for Pointwise Source Reconstruction by the Method of Fundamental Solutions
ABSTRACT Inverse source reconstruction problems offer great potential for applications of interest to engineering, such as the identification of polluting sources, and to medicine, such as electroencephalography, to cite at least two relevant examples. From a mathematical point of view, the identification of a concentrated source (intensity and location) cor
Trends in Computational and Applied Mathematics. Publicado em: 2022
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3. Numerical analysis of collapse modes in optimized design of alveolar Steel-concrete composite beams via genetic algorithms
Abstract The objective of this study is to present the formulation and applications of the optimization problem of steel-concrete composite alveolar beams. In addition to presenting the formulation, a comparative analysis of the predominant collapse modes is performed numerically via the finite element method. The optimization program was developed with the
REM, Int. Eng. J.. Publicado em: 2021-06
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4. FEM-DEM simulation of Uniaxial Compressive Strength (UCS) laboratory tests
Abstract Finite/discrete element methods (FDEM) are hybrid numerical models that use algorithms to analyze the transition from continuous to discontinuous. This type of formulation allows modeling physical laboratory tests with greater proximity to reality. This article proposes to simulate the average behavior of a uniaxial compression test campaign. The te
REM, Int. Eng. J.. Publicado em: 2020-12
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5. THE EM ALGORITHM FOR STANDARD STOCHASTIC FRONTIER MODELS
ABSTRACT The Expectation-Maximization (EM) algorithm is developed for the stochastic frontier models most used in practice with cross-section data. The resulting algorithms can be easily programmed into a computer and are shown to be worthy alternatives to general-purpose optimization routines currently used. The algorithms for the half normal and the expone
Pesqui. Oper.. Publicado em: 02/12/2019
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6. Practical rules for summing the series of the Tweedie probability density function with high-precision arithmetic
Abstract: For some ranges of its parameters and arguments, the series for Tweedie probability density functions are sometimes exceedingly difficult to sum numerically. Existing numerical implementations utilizing inversion techniques and properties of stable distributions can cope with these problems, but no single one is successful in all cases. In this wor
An. Acad. Bras. Ciênc.. Publicado em: 02/12/2019
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7. Numerical fundamentals and interactive computer graphics system for the nonlinear analysis of planar frames
Abstract Recent scientific and computational advances have facilitated the analysis of slender structural systems subject to instability. With the employment of more sophisticated numerical tools and algorithms, it is possible to accurately determine the critical points (limit and bifurcation loads) as well as the post-critical behavior of the structural sys
REM, Int. Eng. J.. Publicado em: 2019-06
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8. An SHM approach using machine learning and statistical indicators extracted from raw dynamic measurements
Abstract Structural Health Monitoring using raw dynamic measurements is the subject of several studies aimed at identifying structural modifications or, more specifically, focused on damage assessment. Traditional damage detection methods associate structural modal deviations to damage. Nevertheless, the process used to determine modal characteristics can in
Lat. Am. j. solids struct.. Publicado em: 14/03/2019
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9. On the Nonlinear Transient Analysis of Planar Steel Frames with Semi-Rigid Connections: From Fundamentals to Algorithms and Numerical Studies
Abstract This paper presents the fundamentals for prediction of a more realistic behavior of planar steel frames with semi-rigid connections under dynamic loading. The majority of the research in this area concentrates on the nonlinear static analysis of frames with semi-rigid connections. Indeed, few studies have contributed to the nonlinear dynamic and vi
Lat. Am. j. solids struct.. Publicado em: 03/05/2018
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10. Different Numerical Inversion Algorithms of the Laplace Transform for the Solution of the Advection-Diffusion Equation with Non-local Closure in Air Pollution Modeling
RESUMO Neste trabalho apresenta-se a resolução da equação de advecção-difusão tridimensional estacionária obtida através da técnica GIADMT (Generalized Integral Advection Diffusion Multilayer Technique), considerando o fechamento não-local linear para o fluxo turbulento. Foram consideradas duas parametrizações diferentes para o coeficiente do te
TEMA (São Carlos). Publicado em: 2018-01
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11. SOME COMPUTATIONAL ASPECTS TO FIND ACCURATE ESTIMATES FOR THE PARAMETERS OF THE GENERALIZED GAMMA DISTRIBUTION
ABSTRACT In this paper, we discuss computational aspects to obtain accurate inferences for the parameters of the generalized gamma (GG) distribution. Usually, the solution of the maximum likelihood estimators (MLE) for the GG distribution have no stable behavior depending on large sample sizes and good initial values to be used in the iterative numerical alg
Pesqui. Oper.. Publicado em: 2017-08
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12. Enhanced Biogeography-based Optimization: A New Method for Size and Shape Optimization of Truss Structures with Natural Frequency Constraints
Abstract The current study presents an enhanced biogeography-based optimization (EBBO) algorithm for size and shape optimization of truss structures with natural frequency constraints. The BBO algorithm is one of the recently developed meta-heuristic algorithms inspired by the mathematical models in biogeography science and is based on the migration behavior
Lat. Am. j. solids struct.. Publicado em: 2016-07