2 citations · 2 across the 4 of their papers we have counts for
4 papers
Using BDF schemes in the temporal integration of POD-ROM methods
Bosco García-Archilla, Alicia García-Mascaraque, Julia Novo
In this paper we consider the numerical approximation of a semilinear reaction-diffusion model problem (PDEs) by means of reduced order methods (ROMs) based on proper orthogonal de…
POD-ROM methods: error analysis for continuous parametrized approximations
Bosco García-Arcilla, Alicia García-Mascaraque, Julia Novo
This paper studies the numerical approximation of parametric time-dependent partial differential equations (PDEs) by proper orthogonal decomposition reduced order models (POD-ROMs)…
A Priori Error Bounds and Parameter Scalings for the Time Relaxation Reduced Order Model
Jorge Reyes, Ping-Hsuan Tsai, Julia Novo +1
The a priori error analysis of reduced order models (ROMs) for fluids is relatively scarce. In this paper, we take a step in this direction and conduct numerical analysis of the re…
Can Neural Networks learn Finite Elements?
Julia Novo, Eduardo Terrés
The aim of this note is to construct a neural network for which the linear finite element approximation of a simple one dimensional boundary value problem is a minimum of the cost…