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ORCIDJudit Muñoz-Matute
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Journal Articles
- 2024
[j7]Judit Muñoz-Matute
, Leszek F. Demkowicz:
Multistage Discontinuous Petrov-Galerkin Time-Marching Scheme for Nonlinear Problems. SIAM J. Numer. Anal. 62(4): 1956-1978 (2024)- 2023
- [j6]Leszek F. Demkowicz, Nathan V. Roberts, Judit Muñoz-Matute:
The DPG Method for the Convection-Reaction Problem, Revisited. Comput. Methods Appl. Math. 23(1): 93-125 (2023) - [j5]Luis F. Contreras, David Pardo, Eduardo Abreu, Judit Muñoz-Matute, Ciro Díaz, Juan Galvis:
An exponential integration generalized multiscale finite element method for parabolic problems. J. Comput. Phys. 479: 112014 (2023) - [j4]Matteo Croci, Judit Muñoz-Matute:
Exploiting Kronecker structure in exponential integrators: Fast approximation of the action of φ-functions of matrices via quadrature. J. Comput. Sci. 67: 101966 (2023) - 2021
- [j3]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) - [j2]Judit Muñoz-Matute, David Pardo, Leszek F. Demkowicz:
Equivalence between the DPG method and the exponential integrators for linear parabolic problems. J. Comput. Phys. 429: 110016 (2021) - 2020
- [j1]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)
Conference and Workshop Papers
- 2020
- [c1]Marcin Los, Judit Muñoz-Matute, Krzysztof Podsiadlo, Maciej Paszynski, Keshav Pingali:
Parallel Shared-Memory Isogeometric Residual Minimization (iGRM) for Three-Dimensional Advection-Diffusion Problems. ICCS (7) 2020: 133-148
Informal and Other Publications
- 2024
- [i8]Magdalena Pabisz, Judit Muñoz-Matute, Maciej Paszynski:
Augmenting MRI scan data with real-time predictions of glioblastoma brain tumor evolution using exponential time integrators. CoRR abs/2402.02273 (2024) - [i7]Jamie M. Taylor, David Pardo, Judit Muñoz-Matute:
Regularity-Conforming Neural Networks (ReCoNNs) for solving Partial Differential Equations. CoRR abs/2405.14110 (2024) - 2023
- [i6]Sergio Rojas, Pawel Maczuga, Judit Muñoz-Matute, David Pardo, Maciej Paszynski:
Robust Variational Physics-Informed Neural Networks. CoRR abs/2308.16910 (2023) - [i5]Judit Muñoz-Matute, Leszek F. Demkowicz:
Multistage DPG time-marching scheme for nonlinear problems. CoRR abs/2309.00069 (2023) - 2022
- [i4]Matteo Croci, Judit Muñoz-Matute:
Exploiting Kronecker structure in exponential integrators: fast approximation of the action of φ-functions of matrices via quadrature. CoRR abs/2211.00696 (2022) - [i3]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) - 2021
- [i2]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
- [i1]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)
Coauthor Index
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