Judit Muñoz-Matute

According to our database, Judit Muñoz-Matute authored at least 16 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Augmenting MRI scan data with real-time predictions of glioblastoma brain tumor evolution using faster exponential time integrators.

Magdalena Pabisz, Judit Muñoz-Matute, Maciej Paszynski

J. Comput. Sci., 2025

2024

Multistage Discontinuous Petrov-Galerkin Time-Marching Scheme for Nonlinear Problems.

Judit Muñoz-Matute, Leszek F. Demkowicz

SIAM J. Numer. Anal., 2024

A Space-Time Discontinuous Petrov-Galerkin Finite Element Formulation for a Modified Schrödinger Equation for Laser Pulse Propagation in Waveguides.

Ankit Chakraborty, Judit Muñoz-Matute, Leszek F. Demkowicz, Jacob Grosek

CoRR, 2024

Regularity-Conforming Neural Networks (ReCoNNs) for solving Partial Differential Equations.

Jamie M. Taylor, David Pardo, Judit Muñoz-Matute

CoRR, 2024

Augmenting MRI scan data with real-time predictions of glioblastoma brain tumor evolution using exponential time integrators.

Magdalena Pabisz, Judit Muñoz-Matute, Maciej Paszynski

CoRR, 2024

2023

An exponential integration generalized multiscale finite element method for parabolic problems.

Luis F. Contreras, David Pardo, Eduardo Abreu, Judit Muñoz-Matute, Ciro Díaz, Juan Galvis

J. Comput. Phys., April, 2023

Exploiting Kronecker structure in exponential integrators: Fast approximation of the action of φ-functions of matrices via quadrature.

Matteo Croci, Judit Muñoz-Matute

J. Comput. Sci., March, 2023

Multistage DPG time-marching scheme for nonlinear problems.

Judit Muñoz-Matute, Leszek F. Demkowicz

CoRR, 2023

Robust Variational Physics-Informed Neural Networks.

Sergio Rojas, Pawel Maczuga, Judit Muñoz-Matute, David Pardo, Maciej Paszynski

CoRR, 2023

The DPG Method for the Convection-Reaction Problem, Revisited.

Leszek F. Demkowicz, Nathan V. Roberts, Judit Muñoz-Matute

Comput. Methods Appl. Math., 2023

2022

A Deep Double Ritz Method (D²RM) for solving Partial Differential Equations using Neural Networks.

Carlos Uriarte, David Pardo, Ignacio Muga, Judit Muñoz-Matute

CoRR, 2022

2021

Equivalence between the DPG method and the exponential integrators for linear parabolic problems.

Judit Muñoz-Matute, David Pardo, Leszek F. Demkowicz

J. Comput. Phys., 2021

Isogeometric residual minimization (iGRM) for non-stationary Stokes and Navier-Stokes problems.

Marcin Los, Ignacio Muga, Judit Muñoz-Matute, Maciej Paszynski

Comput. Math. Appl., 2021

2020

Isogeometric Residual Minimization Method (iGRM) for Stokes and Time-Dependent Stokes Problems.

Marcin Los, Judit Muñoz-Matute, Ignacio Muga, Maciej Paszynski

CoRR, 2020

Isogeometric Residual Minimization Method (iGRM) with direction splitting for non-stationary advection-diffusion problems.

Marcin Los, Judit Muñoz-Matute, Ignacio Muga, Maciej Paszynski

Comput. Math. Appl., 2020

Parallel Shared-Memory Isogeometric Residual Minimization (iGRM) for Three-Dimensional Advection-Diffusion Problems.

Marcin Los, Judit Muñoz-Matute, Krzysztof Podsiadlo, Maciej Paszynski, Keshav Pingali

Proceedings of the Computational Science - ICCS 2020, 2020