Ignacio Muga
Orcid: 0000-0003-4430-5167
According to our database1,
Ignacio Muga
authored at least 29 papers
between 2011 and 2023.
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Bibliography
2023
Adaptive stabilized finite elements via residual minimization onto bubble enrichments.
Comput. Math. Appl., December, 2023
An Adaptive Superconvergent Mixed Finite Element Method Based on Local Residual Minimization.
SIAM J. Numer. Anal., October, 2023
CoRR, 2023
Learning quantities of interest from parametric PDEs: An efficient neural-weighted Minimal Residual approach.
CoRR, 2023
2022
Numerische Mathematik, 2022
Automatic stabilization of finite-element simulations using neural networks and hierarchical matrices.
CoRR, 2022
A Deep Double Ritz Method (D<sup>2</sup>RM) for solving Partial Differential Equations using Neural Networks.
CoRR, 2022
An adaptive superconvergent finite element method based on local residual minimization.
CoRR, 2022
Neural Control of Discrete Weak Formulations: Galerkin, Least-Squares and Minimal-Residual Methods with Quasi-Optimal Weights.
CoRR, 2022
2021
DGIRM: Discontinuous Galerkin based isogeometric residual minimization for the Stokes problem.
J. Comput. Sci., 2021
Isogeometric residual minimization (iGRM) for non-stationary Stokes and Navier-Stokes problems.
Comput. Math. Appl., 2021
A machine-learning minimal-residual (ML-MRes) framework for goal-oriented finite element discretizations.
Comput. Math. Appl., 2021
2020
Discretization of Linear Problems in Banach Spaces: Residual Minimization, Nonlinear Petrov-Galerkin, and Monotone Mixed Methods.
SIAM J. Numer. Anal., 2020
Data-Driven Finite Elements Methods: Machine Learning Acceleration of Goal-Oriented Computations.
CoRR, 2020
Isogeometric Residual Minimization Method (iGRM) for Stokes and Time-Dependent Stokes Problems.
CoRR, 2020
Isogeometric Residual Minimization Method (iGRM) with direction splitting for non-stationary advection-diffusion problems.
Comput. Math. Appl., 2020
A Stable Discontinuous Galerkin Based Isogeometric Residual Minimization for the Stokes Problem.
Proceedings of the Computational Science - ICCS 2020, 2020
2019
CoRR, 2019
Isogeometric Residual Minimization Method (iGRM) with Direction Splitting Preconditoner for Stationary Advection-Diffusion Problems.
CoRR, 2019
The Discrete-Dual Minimal-Residual Method (DDMRes) for Weak Advection-Reaction Problems in Banach Spaces.
Comput. Methods Appl. Math., 2019
The Convection-Diffusion-Reaction Equation in Non-Hilbert Sobolev Spaces: A Direct Proof of the Inf-Sup Condition and Stability of Galerkin's Method.
Comput. Methods Appl. Math., 2019
2017
Goal-Oriented p-Adaptivity using Unconventional Error Representations for a 1D Steady State Convection-Diffusion Problem.
Proceedings of the International Conference on Computational Science, 2017
2015
Comput. Math. Appl., 2015
Goal-oriented adaptivity using unconventional error representations for the 1D Helmholtz equation.
Comput. Math. Appl., 2015
2014
Dispersive and Dissipative Errors in the DPG Method with Scaled Norms for Helmholtz Equation.
SIAM J. Sci. Comput., 2014
2011
SIAM J. Appl. Math., 2011
A class of discontinuous Petrov-Galerkin methods. Part IV: The optimal test norm and time-harmonic wave propagation in 1D.
J. Comput. Phys., 2011
Simulation of wireline sonic logging measurements acquired with Borehole-Eccentered tools using a high-order adaptive finite-element method.
J. Comput. Phys., 2011