Ignacio Muga - RankMe

35 papers Misc 1Journal 33Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	RUNNs: Ritz-Uzawa Neural Networks for Solving Variational Problems. CoRR Pablo Herrera, Jamie M. Taylor, Carlos Uriarte, Ignacio Muga, David Pardo, Kristoffer G. van der Zee
2025	J	`jnl`	Deep Fourier Residual method for solving time-harmonic Maxwell's equations. J. Comput. Phys. Jamie M. Taylor, Manuela Bastidas, David Pardo, Ignacio Muga
2024	J	`jnl`	Learning quantities of interest from parametric PDEs: An efficient neural-weighted Minimal Residual approach. Comput. Math. Appl. Ignacio Brevis, Ignacio Muga, David Pardo, Oscar A. Rodríguez, Kristoffer G. van der Zee
2023	J	`jnl`	Adaptive stabilized finite elements via residual minimization onto bubble enrichments. Comput. Math. Appl. José G. Hasbani, Paulina Sepúlveda, Ignacio Muga, Victor M. Calo, Sergio Rojas
2023	J	`jnl`	Adaptive stabilized finite elements via residual minimization onto bubble enrichments. CoRR José G. Hasbani, Paulina Sepúlveda, Ignacio Muga, Victor M. Calo, Sergio Rojas
2023	J	`jnl`	An Adaptive Superconvergent Mixed Finite Element Method Based on Local Residual Minimization. SIAM J. Numer. Anal. Ignacio Muga, Sergio Rojas, Patrick Vega
2023	J	`jnl`	Deep Fourier Residual method for solving time-harmonic Maxwell's equations. CoRR Jamie M. Taylor, Manuela Bastidas, David Pardo, Ignacio Muga
2023	J	`jnl`	Learning quantities of interest from parametric PDEs: An efficient neural-weighted Minimal Residual approach. CoRR Ignacio Brevis, Ignacio Muga, David Pardo, Oscar A. Rodríguez, Kristoffer G. van der Zee
2022	J	`jnl`	A Deep Double Ritz Method (D CoRR Carlos Uriarte, David Pardo, Ignacio Muga, Judit Muñoz-Matute
2022	J	`jnl`	A Deep Fourier Residual Method for solving PDEs using Neural Networks. CoRR Jamie M. Taylor, David Pardo, Ignacio Muga
2022	J	`jnl`	An adaptive superconvergent finite element method based on local residual minimization. CoRR Ignacio Muga, Sergio Rojas, Patrick Vega
2022	J	`jnl`	Automatic stabilization of finite-element simulations using neural networks and hierarchical matrices. CoRR Tomasz Sluzalec, Mateusz Dobija, Anna Paszynska, Ignacio Muga, Maciej Paszynski
2022	J	`jnl`	Neural Control of Discrete Weak Formulations: Galerkin, Least-Squares and Minimal-Residual Methods with Quasi-Optimal Weights. CoRR Ignacio Brevis, Ignacio Muga, Kristoffer G. van der Zee
2022	J	`jnl`	Projection in negative norms and the regularization of rough linear functionals. Numerische Mathematik Felipe Millar, Ignacio Muga, Sergio Rojas, Kristoffer G. van der Zee
2021	J	`jnl`	A machine-learning minimal-residual (ML-MRes) framework for goal-oriented finite element discretizations. Comput. Math. Appl. Ignacio Brevis, Ignacio Muga, Kristoffer G. van der Zee
2021	J	`jnl`	DGIRM: Discontinuous Galerkin based isogeometric residual minimization for the Stokes problem. J. Comput. Sci. Marcin Los, Sergio Rojas, Maciej Paszynski, Ignacio Muga, Victor M. Calo
2021	J	`jnl`	Isogeometric Residual Minimization Method (iGRM) with Direction Splitting for Non-Stationary Advection-Diffusion Problems. CoRR Marcin Los, Judit Muñoz-Matute, Ignacio Muga, Maciej Paszynski
2021	J	`jnl`	Isogeometric residual minimization (iGRM) for non-stationary Stokes and Navier-Stokes problems. Comput. Math. Appl. Marcin Los, Ignacio Muga, Judit Muñoz-Matute, Maciej Paszynski
2021	J	`jnl`	Projection in negative norms and the regularization of rough linear functionals. CoRR Felipe Millar, Ignacio Muga, Sergio Rojas, Kristoffer G. van der Zee
2020	—	`conf`	A Stable Discontinuous Galerkin Based Isogeometric Residual Minimization for the Stokes Problem. ICCS (2) Marcin Los, Sergio Rojas, Maciej Paszynski, Ignacio Muga, Victor M. Calo
2020	J	`jnl`	Data-Driven Finite Elements Methods: Machine Learning Acceleration of Goal-Oriented Computations. CoRR Ignacio Brevis, Ignacio Muga, Kristoffer G. van der Zee
2020	J	`jnl`	Discretization of Linear Problems in Banach Spaces: Residual Minimization, Nonlinear Petrov-Galerkin, and Monotone Mixed Methods. SIAM J. Numer. Anal. Ignacio Muga, Kristoffer G. van der Zee
2020	J	`jnl`	Isogeometric Residual Minimization Method (iGRM) for Stokes and Time-Dependent Stokes Problems. CoRR Marcin Los, Judit Muñoz-Matute, Ignacio Muga, Maciej Paszynski
2020	J	`jnl`	Isogeometric Residual Minimization Method (iGRM) with direction splitting for non-stationary advection-diffusion problems. Comput. Math. Appl. Marcin Los, Judit Muñoz-Matute, Ignacio Muga, Maciej Paszynski
2019	J	`jnl`	An adaptive stabilized finite element method based on residual minimization. CoRR Victor M. Calo, Alexandre Ern, Ignacio Muga, Sergio Rojas
2019	J	`jnl`	Isogeometric Residual Minimization Method (iGRM) with Direction Splitting Preconditoner for Stationary Advection-Diffusion Problems. CoRR Marcin Los, Quanling Deng, Ignacio Muga, Victor M. Calo, Maciej Paszynski
2019	J	`jnl`	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. Paul Houston, Ignacio Muga, Sarah Roggendorf, Kristoffer G. van der Zee
2019	J	`jnl`	The Discrete-Dual Minimal-Residual Method (DDMRes) for Weak Advection-Reaction Problems in Banach Spaces. Comput. Methods Appl. Math. Ignacio Muga, Matthew J. W. Tyler, Kristoffer G. van der Zee
2017	Misc	`conf`	Goal-Oriented p-Adaptivity using Unconventional Error Representations for a 1D Steady State Convection-Diffusion Problem. ICCS Vincent Darrigrand, Ángel Rodríguez-Rozas, David Pardo, Ignacio Muga
2015	J	`jnl`	Goal-oriented adaptivity using unconventional error representations for the 1D Helmholtz equation. Comput. Math. Appl. Vincent Darrigrand, David Pardo, Ignacio Muga
2015	J	`jnl`	Semi-analytical response of acoustic logging measurements in frequency domain. Comput. Math. Appl. Ignacio Muga, David Pardo, Pawel Jerzy Matuszyk, Carlos Torres-Verdín
2014	J	`jnl`	Dispersive and Dissipative Errors in the DPG Method with Scaled Norms for Helmholtz Equation. SIAM J. Sci. Comput. Jayadeep Gopalakrishnan, Ignacio Muga, Nicole Olivares
2011	J	`jnl`	A class of discontinuous Petrov-Galerkin methods. Part IV: The optimal test norm and time-harmonic wave propagation in 1D. J. Comput. Phys. J. Zitelli, Ignacio Muga, Leszek F. Demkowicz, Jayadeep Gopalakrishnan, David Pardo, Victor M. Calo
2011	J	`jnl`	Simulation of wireline sonic logging measurements acquired with Borehole-Eccentered tools using a high-order adaptive finite-element method. J. Comput. Phys. David Pardo, Pawel Jerzy Matuszyk, Ignacio Muga, Carlos Torres-Verdín, Angel Mora, Victor M. Calo
2011	J	`jnl`	The Outgoing Time-Harmonic Elastic Wave in a Half-Plane with Free Boundary. SIAM J. Appl. Math. Mario Durán, Ignacio Muga, Jean-Claude Nédélec