Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Miguel Angel Moreles is active.

Publication


Featured researches published by Miguel Angel Moreles.


Bulletin of Mathematical Biology | 2009

Parameter Estimation of Some Epidemic Models. The Case of Recurrent Epidemics Caused by Respiratory Syncytial Virus

Marcos Capistran; Miguel Angel Moreles; Bruno Lara

The research presented in this paper addresses the problem of fitting a mathematical model to epidemic data. We propose an implementation of the Landweber iteration to solve locally the arising parameter estimation problem. The epidemic models considered consist of suitable systems of ordinary differential equations. The results presented suggest that the inverse problem approach is a reliable method to solve the fitting problem. The predictive capabilities of this approach are demonstrated by comparing simulations based on estimation of parameters against real data sets for the case of recurrent epidemics caused by the respiratory syncytial virus in children.


Transport in Porous Media | 2013

On Modeling Flow in Fractal Media form Fractional Continuum Mechanics and Fractal Geometry

Miguel Angel Moreles; Joaquin Peña; Salvador Botello; Renato Iturriaga

In this work we present a model for radial flow in highly heterogenous porous media. Heterogeneity is modeled by means of fractal geometry, a heterogeneous medium is regarded as fractal if its Hausdorff dimension is non-integral. Our purpose is to present a derivation of the model consistent with continuum mechanics, capable to describe anomalous diffusion as observed in some naturally fractured reservoirs. Consequently, we introduce fractional mass and a generalized Gauss theorem to obtain a continuity equation in fractal media. A generalized Darcy law for flux completes the model. Then we develop the basic equation for Well test analysis as is applied in petroleum engineering. Finally, the equation is solved by Laplace transform and inverted numerically to illustrate anomalous diffusion. In this case by showing that the flow rate from fractal systems is smaller than that from the Euclidean system.


conference on decision and control | 1998

A classical approach to uniform null controllability for elastic beams

Miguel Angel Moreles

The Rayleigh beam equation is the formal limit of the Timoshenko beam equation as the shear modulus K/spl rarr/+/spl infin/. Null controllability is possible, that is, the evolution systems associated with the Rayleigh and Timoshenko equations can be driven to rest by applying appropriate controls at both ends of the beam. In this work we show that controllability of the Rayleigh system can be achieved by letting K/spl rarr/+/spl infin/ in the solution of the Timoshenko controllability problem.


Journal of Sound and Vibration | 2005

A root-finding technique to compute eigenfrequencies for elastic beams

Miguel Angel Moreles; Salvador Botello; Rogelio Salinas


Computational Geosciences | 2005

The differential system method for parameter identification; unconfined aquifer case

Miguel Angel Moreles; Rogelio Vázquez; Fernando Ávila


Archive | 2003

COMPUTATION OF EIGENFRECUENCIES FOR ELASTIC BEAMS, A COMPARATIVE APPROACH

Miguel Angel Moreles; Salvador Botello; Rogelio Salinas


arXiv: Differential Geometry | 2018

A geometric description of Discrete Exterior Calculus for general triangulations.

Humberto Esqueda; Rafael Herrera; Salvador Botello; Miguel Angel Moreles


arXiv: Applications | 2017

Estimation and svm classification of glucose-insulin model parameters from OGTT data. An aid for diabetes diagnostics

Miguel Angel Moreles; Joaquin Peña; Paola Vargas; Adriana Monroy


arXiv: Computation | 2016

Numerical posterior distribution error control and expected Bayes Factors in the bayesian Uncertainty Quantification of Inverse Problems

J. Andrés Christen; Marcos A. Capistrán; Miguel Angel Moreles


Revista Internacional De Metodos Numericos Para Calculo Y Diseno En Ingenieria | 2010

Interpolación con funciones de base radial y el método del sistema diferencial para identificación de parámetros en acuíferos

Miguel Angel Moreles; Francisco Mejía

Collaboration


Dive into the Miguel Angel Moreles's collaboration.

Top Co-Authors

Avatar

Salvador Botello

Centro de Investigación en Matemáticas

View shared research outputs
Top Co-Authors

Avatar

Rogelio Salinas

Autonomous University of Aguascalientes

View shared research outputs
Top Co-Authors

Avatar

Adriana Monroy

Hospital General de México

View shared research outputs
Top Co-Authors

Avatar

Bruno Lara

Universidad Autónoma del Estado de Morelos

View shared research outputs
Top Co-Authors

Avatar

Francisco Mejía

Centro de Investigación en Matemáticas

View shared research outputs
Top Co-Authors

Avatar

J. Andrés Christen

Centro de Investigación en Matemáticas

View shared research outputs
Top Co-Authors

Avatar

Marcos A. Capistrán

Centro de Investigación en Matemáticas

View shared research outputs
Top Co-Authors

Avatar

Marcos Capistran

Universidad Autónoma del Estado de Morelos

View shared research outputs
Top Co-Authors

Avatar

Miguel Castillo

Centro de Investigación en Matemáticas

View shared research outputs
Top Co-Authors

Avatar

Rafael Herrera

Centro de Investigación en Matemáticas

View shared research outputs
Researchain Logo
Decentralizing Knowledge