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Calibration of boundary conditions correlated to the diffusivity of chloride ions: An accurate study for random diffusivity
(2022-02-01)
For reinforced concrete (RC) structures, the corrosion of the reinforced steel bars from chloride ions is a periodic risk. The chloride ions diffusion is governed by Fick’ laws, however, these equations can be applied under ...
Microscopic positive-energy potential based on the Gogny interaction
(American Physical Society, 2015)
We present a nucleon elastic scattering calculation based on Green’s function formalism in the random-phase
approximation. For the first time, the finite-range Gogny effective interaction is used consistently throughout
the ...
PORTAFOLIOS DE INVERSIÓN ÓPTIMOS A TRAVÉS DE REDES NEURONALES ARTIFICIALES Y LÓGICA DIFUSA
(2011-04-06)
The main idea of the present work is to develop an Artificial Intelligence System by proposing a set of Optimal Portfolios of Investment. This work is composed of three parts:
The first part is to get input data for the ...
Ecuación de difusión en distintos sistemas coordenados: Discretización por diferencias finitas
(Universidad del QuindíoFacultad de Ciencias de la EducaciónArmenia QuindíoEducación - Licenciatura en Matemáticas, 2022-06-17)
En ciencias aplicadas existen diversos modelos matemáticos los cuales sirven para describir procesos naturales, entre los cuales se destaca el fenómeno de transporte, que involucra la transferencia de partículas de un lugar ...
Monte carlo evaluation model of an undeveloped oil field
(1998)
In this article we develop and implement a model to value an undeveloped oil field and to determine the optimal timing of investment. We assume a two factor model for the stochastic behavior of oil prices for which a closed ...
Bifurcation And Multiplicity Results For Critical Nonlocal Fractional Laplacian Problems
(Elsevier Masson SAS, 2016)
NONEXPLOSION OF A CLASS OF SEMILINEAR EQUATIONS VIA BRANCHING PARTICLE REPRESENTATIONS
(Cambridge University Press, 2008)
On spatial statistical methods and applications for large datasets
(Universidade Federal de Minas GeraisUFMG, 2018-03-06)
The focus of this work is on the application of novelty models for the spatio-temporal analysis of large anchovy biomass dataset, and the development of a new Gaussian random field suitable for the analysis of large datasets. ...