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ORCIDIgnacio Muga
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2020 – today
- 2024
[j17]Ignacio Brevis
, Ignacio Muga, David Pardo, Oscar A. Rodríguez, Kristoffer G. van der Zee:
Learning quantities of interest from parametric PDEs: An efficient neural-weighted Minimal Residual approach. Comput. Math. Appl. 164: 139-149 (2024)- 2023
- [j16]José G. Hasbani, Paulina Sepúlveda, Ignacio Muga, Victor M. Calo, Sergio Rojas:
Adaptive stabilized finite elements via residual minimization onto bubble enrichments. Comput. Math. Appl. 151: 1-11 (2023) - [j15]Ignacio Muga, Sergio Rojas, Patrick Vega:
An Adaptive Superconvergent Mixed Finite Element Method Based on Local Residual Minimization. SIAM J. Numer. Anal. 61(5): 2084-2105 (2023) - [i14]José G. Hasbani, Paulina Sepúlveda, Ignacio Muga, Victor M. Calo, Sergio Rojas:
Adaptive stabilized finite elements via residual minimization onto bubble enrichments. CoRR abs/2303.17982 (2023) - [i13]Ignacio Brevis, Ignacio Muga, David Pardo, Oscar A. Rodríguez, Kristoffer G. van der Zee:
Learning quantities of interest from parametric PDEs: An efficient neural-weighted Minimal Residual approach. CoRR abs/2304.01722 (2023) - [i12]Jamie M. Taylor, Manuela Bastidas, David Pardo, Ignacio Muga:
Deep Fourier Residual method for solving time-harmonic Maxwell's equations. CoRR abs/2305.09578 (2023) - 2022
- [j14]Felipe Millar, Ignacio Muga, Sergio Rojas, Kristoffer G. van der Zee:
Projection in negative norms and the regularization of rough linear functionals. Numerische Mathematik 150(4): 1087-1121 (2022) - [i11]Ignacio Brevis, Ignacio Muga, Kristoffer G. van der Zee:
Neural Control of Discrete Weak Formulations: Galerkin, Least-Squares and Minimal-Residual Methods with Quasi-Optimal Weights. CoRR abs/2206.07475 (2022) - [i10]Ignacio Muga, Sergio Rojas, Patrick Vega:
An adaptive superconvergent finite element method based on local residual minimization. CoRR abs/2210.00390 (2022) - [i9]Jamie M. Taylor, David Pardo, Ignacio Muga:
A Deep Fourier Residual Method for solving PDEs using Neural Networks. CoRR abs/2210.14129 (2022) - [i8]Carlos Uriarte, David Pardo, Ignacio Muga, Judit Muñoz-Matute:
A Deep Double Ritz Method (D2RM) for solving Partial Differential Equations using Neural Networks. CoRR abs/2211.03627 (2022) - [i7]Tomasz Sluzalec, Mateusz Dobija, Anna Paszynska, Ignacio Muga, Maciej Paszynski:
Automatic stabilization of finite-element simulations using neural networks and hierarchical matrices. CoRR abs/2212.12695 (2022) - 2021
- [j13]Ignacio Brevis, Ignacio Muga, Kristoffer G. van der Zee:
A machine-learning minimal-residual (ML-MRes) framework for goal-oriented finite element discretizations. Comput. Math. Appl. 95: 186-199 (2021) - [j12]Marcin Los, Ignacio Muga, Judit Muñoz-Matute, Maciej Paszynski:
Isogeometric residual minimization (iGRM) for non-stationary Stokes and Navier-Stokes problems. Comput. Math. Appl. 95: 200-214 (2021) - [j11]Marcin Los, Sergio Rojas, Maciej Paszynski, Ignacio Muga, Victor M. Calo:
DGIRM: Discontinuous Galerkin based isogeometric residual minimization for the Stokes problem. J. Comput. Sci. 50: 101306 (2021) - [i6]Felipe Millar, Ignacio Muga, Sergio Rojas, Kristoffer G. van der Zee:
Projection in negative norms and the regularization of rough linear functionals. CoRR abs/2101.03044 (2021) - [i5]Marcin Los, Judit Muñoz-Matute, Ignacio Muga, Maciej Paszynski:
Isogeometric Residual Minimization Method (iGRM) with Direction Splitting for Non-Stationary Advection-Diffusion Problems. CoRR abs/2103.04625 (2021) - 2020
- [j10]Marcin Los, Judit Muñoz-Matute, Ignacio Muga, Maciej Paszynski:
Isogeometric Residual Minimization Method (iGRM) with direction splitting for non-stationary advection-diffusion problems. Comput. Math. Appl. 79(2): 213-229 (2020) - [j9]Ignacio Muga, Kristoffer G. van der Zee:
Discretization of Linear Problems in Banach Spaces: Residual Minimization, Nonlinear Petrov-Galerkin, and Monotone Mixed Methods. SIAM J. Numer. Anal. 58(6): 3406-3426 (2020) - [c2]Marcin Los, Sergio Rojas, Maciej Paszynski, Ignacio Muga, Victor M. Calo:
A Stable Discontinuous Galerkin Based Isogeometric Residual Minimization for the Stokes Problem. ICCS (2) 2020: 197-211 - [i4]Marcin Los, Judit Muñoz-Matute, Ignacio Muga, Maciej Paszynski:
Isogeometric Residual Minimization Method (iGRM) for Stokes and Time-Dependent Stokes Problems. CoRR abs/2001.00178 (2020) - [i3]Ignacio Brevis, Ignacio Muga, Kristoffer G. van der Zee:
Data-Driven Finite Elements Methods: Machine Learning Acceleration of Goal-Oriented Computations. CoRR abs/2003.04485 (2020)
2010 – 2019
- 2019
- [j8]Paul Houston, Ignacio Muga, Sarah Roggendorf, Kristoffer G. van der Zee:
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. 19(3): 503-522 (2019) - [j7]Ignacio Muga, Matthew J. W. Tyler, Kristoffer G. van der Zee:
The Discrete-Dual Minimal-Residual Method (DDMRes) for Weak Advection-Reaction Problems in Banach Spaces. Comput. Methods Appl. Math. 19(3): 557-579 (2019) - [i2]Marcin Los, Quanling Deng, Ignacio Muga, Victor M. Calo, Maciej Paszynski:
Isogeometric Residual Minimization Method (iGRM) with Direction Splitting Preconditoner for Stationary Advection-Diffusion Problems. CoRR abs/1906.06727 (2019) - [i1]Victor M. Calo, Alexandre Ern, Ignacio Muga, Sergio Rojas:
An adaptive stabilized finite element method based on residual minimization. CoRR abs/1907.12605 (2019) - 2017
- [c1]Vincent Darrigrand, Ángel Rodríguez-Rozas, David Pardo, Ignacio Muga:
Goal-Oriented p-Adaptivity using Unconventional Error Representations for a 1D Steady State Convection-Diffusion Problem. ICCS 2017: 848-856 - 2015
- [j6]Vincent Darrigrand, David Pardo, Ignacio Muga:
Goal-oriented adaptivity using unconventional error representations for the 1D Helmholtz equation. Comput. Math. Appl. 69(9): 964-979 (2015) - [j5]Ignacio Muga, David Pardo, Pawel Jerzy Matuszyk, Carlos Torres-Verdín:
Semi-analytical response of acoustic logging measurements in frequency domain. Comput. Math. Appl. 70(4): 314-329 (2015) - 2014
- [j4]Jayadeep Gopalakrishnan, Ignacio Muga, Nicole Olivares:
Dispersive and Dissipative Errors in the DPG Method with Scaled Norms for Helmholtz Equation. SIAM J. Sci. Comput. 36(1) (2014) - 2011
- [j3]J. Zitelli, Ignacio Muga, Leszek F. Demkowicz, Jayadeep Gopalakrishnan, David Pardo, Victor M. Calo:
A class of discontinuous Petrov-Galerkin methods. Part IV: The optimal test norm and time-harmonic wave propagation in 1D. J. Comput. Phys. 230(7): 2406-2432 (2011) - [j2]David Pardo, Pawel Jerzy Matuszyk, Ignacio Muga, Carlos Torres-Verdín, Angel Mora, Victor M. Calo:
Simulation of wireline sonic logging measurements acquired with Borehole-Eccentered tools using a high-order adaptive finite-element method. J. Comput. Phys. 230(16): 6320-6333 (2011) - [j1]Mario Durán, Ignacio Muga, Jean-Claude Nédélec:
The Outgoing Time-Harmonic Elastic Wave in a Half-Plane with Free Boundary. SIAM J. Appl. Math. 71(2): 443-464 (2011)
Coauthor Index
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