activity
20042024
most citedParameter Identification Problem in the Hodgkin and Huxley Model

2 citations · 3 across the 6 of their papers we have counts for

collaborators

9 papers

math.NA2024

On inertial iterated Tikhonov methods for solving ill-posed problems

Joel C. Rabelo, Antonio Leitão, Alexandre L. Madureira

In this manuscript we propose and analyze an implicit two-point type method (or inertial method) for obtaining stable approximate solutions to linear ill-posed operator equations.…

eess.SY2022

Final-state, Open-loop Control of Parabolic PDEs with Dirichlet Boundary Conditions

Gilberto O. Corrêa, Marlon M. López-Flores, Alexandre L. Madureira

In this paper, a quadratic optimal control problem is considered for second-order parabolic PDEs with homogeneous Dirichlet boundary conditions, in which the "point" control functi…

math.NA2019★ 2 cited

Parameter Identification Problem in the Hodgkin and Huxley Model

Jemy A. Mandujano Valle, Alexandre L. Madureira

The Hodgkin and Huxley (H-H) model is a nonlinear system of four equations that describes how action potentials in neurons are initiated and propagated, and represents a major adva…

math.NA2018

A Computational Approach for the inverse problem of neuronal conductances determination

Jemy A. Mandujano Valle, Alexandre L. Madureira, Antonio Leitão

The derivation by Alan Hodgkin and Andrew Huxley of their famous neuronal conductance model relied on experimental data gathered using neurons of the giant squid. It becomes clear…

math.NA2017★ 1 cited

Spectral ACMS: A robust localized Approximated Component Mode Synthesis Method

Alexandre L. Madureira, Marcus Sarkis

We consider finite element methods of multiscale type to approximate solutions for two-dimensional symmetric elliptic partial differential equations with heterogeneous c…

math.NA2017

Hybrid Localized Spectral Decomposition for multiscale problems

Alexandre L. Madureira, Marcus Sarkis

We consider a finite element method for elliptic equation with heterogeneous and possibly high-contrast coefficients based on primal hybrid formulation. A space decomposition as in…