activity
20162022
most citedMathematical modelling of fractional order circuits

7 citations · 12 across the 11 of their papers we have counts for

collaborators

12 papers

math.ST2022

A validation study of normoglycemia and dysglycemia indices as a diabetes risk model

Paola Vargas, Miguel Angel Moreles, Joaquin Peña +1

In this work, we test the performance of Peak glucose concentration () and average of glucose removal rates (), as normoglycemia and dysglycemia indices on a population monit…

math.NA2022

The Hybrid Discontinuous Galerkin method for elliptic problems and applications in vertical ocean-slice modeling

Danalie Azofeifa, Miguel Angel Moreles, Federico Angel Velazquez-Muñoz

Element Method. The Finite Volume Method guarantees local and global mass conservation. A property not satisfied by the Finite Volume Method. On the down side, the Finite Volume Me…

physics.flu-dyn2021

Bathymetry and friction estimation from transient velocity data for 1D shallow water flows in open channels with varying width

Miguel Angel Moreles, Gerardo Hernandez-Duenas, Pedro Gonzalez-Casanova

The shallow water equations (SWE) model a variety of geophysical flows. Flows in channels with rectangular cross sections may be modelled with a simplified one-dimensional SWE with…

math.NA2020

Ocean surface radial velocity imaging in the AT-INSAR Velocity Bunching Model. A functional approach

Fabricio Perez, Miguel Angel Moreles, Hector Morales

This work is concerned with the estimation of radial velocities of sea surface elevations. The data, is a noisy along-track interferometric synthetic aperture radar (AT-INSAR) imag…

math.NA2019

Some error estimates for the DEC method in the plane

Ruben Carrillo, Miguel Angel Moreles, Rafael Herrera

We show that the Discrete Exterior Calculus (DEC) method can be cast as the earlier box method for the Poisson problem in the plane. Consequently, error estimates are established,…

math.NA2019

A GPU implementation of the Discontinuous Galerkin method for simulation of diffusion in brain tissue

Daniel Cervantes, Miguel angel Moreles, Joaquin Peña +1

In this work we develop a methodology to approximate the covariance matrix associated to the simulation of water diffusion inside the brain tissue. The computation is based on an i…