Solução numérica de um problema inverso em neurociência via o método de Landweber não linear

• Autor(a) principal: Mandujano Valle, Jemy Alex
• Data de Publicação: 2015
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações do LNCC
• Texto Completo: https://tede.lncc.br/handle/tede/218
• topic: Equações diferenciais; Problema inverso; Differential equations; Inverse problem; CNPQ::CIENCIAS EXATAS E DA TERRA::MATEMATICA::ANALISE::EQUACOES DIFERENCIAIS PARCIAIS

The aim of this dissertation is to evaluate the value of certain parameters of a partial differential equation, using a Iterative method of Regularization (Landweber Nonlinear). This problem is motivated by the behavior of ion channels of the cell neural, which is of difficult experimental determination. We use a simplified model, in the case the passive cable equation, which is a linear parabolic differential equation, with terms of diffusion and reaction, not necessarily homogeneous. We consider that the terms of reaction are given by a function that depends on the variable space, and are unknown. To determine this function we use the nonlinear Landweber method, that, in a Hilbert space, search iterative approximations for the unknown function. Each step of this algorithm requires the solution of two parabolic partial differential equations and an integral and use the finite difference method to obtain the approximate solution of the partial differential equations, and the trapezoid method to obtain the solution of the integral, resulting a method computationally intensive. In this dissertation we describe the biological motivation of the problem and the mathematical basis of the algorithm, and teste various computer cases.