Judit Muñoz-Matute

21 papers Journal 20Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Tracking controllability on moving targets for parabolic equations. CoRR Jone Apraiz, Jon Asier Bárcena-Petisco, Judit Muñoz-Matute
2025	J	`jnl`	A space-time discontinuous Petrov-Galerkin finite element formulation for a modified Schrödinger equation for laser pulse propagation in waveguides. Comput. Math. Appl. Ankit Chakraborty, Judit Muñoz-Matute, Leszek F. Demkowicz, Jacob Grosek
2025	J	`jnl`	Augmenting MRI scan data with real-time predictions of glioblastoma brain tumor evolution using faster exponential time integrators. J. Comput. Sci. Magdalena Pabisz, Judit Muñoz-Matute, Maciej Paszynski
2025	J	`jnl`	Regularity-conforming neural networks (ReCoNNs) for solving partial differential equations. J. Comput. Phys. Jamie M. Taylor, David Pardo, Judit Muñoz-Matute
2024	J	`jnl`	A Space-Time Discontinuous Petrov-Galerkin Finite Element Formulation for a Modified Schrödinger Equation for Laser Pulse Propagation in Waveguides. CoRR Ankit Chakraborty, Judit Muñoz-Matute, Leszek F. Demkowicz, Jacob Grosek
2024	J	`jnl`	Augmenting MRI scan data with real-time predictions of glioblastoma brain tumor evolution using exponential time integrators. CoRR Magdalena Pabisz, Judit Muñoz-Matute, Maciej Paszynski
2024	J	`jnl`	Multistage Discontinuous Petrov-Galerkin Time-Marching Scheme for Nonlinear Problems. SIAM J. Numer. Anal. Judit Muñoz-Matute, Leszek F. Demkowicz
2024	J	`jnl`	Regularity-Conforming Neural Networks (ReCoNNs) for solving Partial Differential Equations. CoRR Jamie M. Taylor, David Pardo, Judit Muñoz-Matute
2023	J	`jnl`	An exponential integration generalized multiscale finite element method for parabolic problems. J. Comput. Phys. Luis F. Contreras, David Pardo, Eduardo Abreu, Judit Muñoz-Matute, Ciro Díaz, Juan Galvis
2023	J	`jnl`	Exploiting Kronecker structure in exponential integrators: Fast approximation of the action of φ-functions of matrices via quadrature. J. Comput. Sci. Matteo Croci, Judit Muñoz-Matute
2023	J	`jnl`	Multistage DPG time-marching scheme for nonlinear problems. CoRR Judit Muñoz-Matute, Leszek F. Demkowicz
2023	J	`jnl`	Robust Variational Physics-Informed Neural Networks. CoRR Sergio Rojas, Pawel Maczuga, Judit Muñoz-Matute, David Pardo, Maciej Paszynski
2023	J	`jnl`	The DPG Method for the Convection-Reaction Problem, Revisited. Comput. Methods Appl. Math. Leszek F. Demkowicz, Nathan V. Roberts, Judit Muñoz-Matute
2022	J	`jnl`	A Deep Double Ritz Method (D CoRR Carlos Uriarte, David Pardo, Ignacio Muga, Judit Muñoz-Matute
2022	J	`jnl`	Exploiting Kronecker structure in exponential integrators: fast approximation of the action of φ-functions of matrices via quadrature. CoRR Matteo Croci, Judit Muñoz-Matute
2021	J	`jnl`	Equivalence between the DPG method and the exponential integrators for linear parabolic problems. J. Comput. Phys. Judit Muñoz-Matute, David Pardo, Leszek F. Demkowicz
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
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
2020	—	`conf`	Parallel Shared-Memory Isogeometric Residual Minimization (iGRM) for Three-Dimensional Advection-Diffusion Problems. ICCS (7) Marcin Los, Judit Muñoz-Matute, Krzysztof Podsiadlo, Maciej Paszynski, Keshav Pingali