Judit Muñoz-Matute
机构: Basque Center for Applied Mathematics (BCAM)
每年引用次数
引用次数
引用: 168
H-指数: 8
I10-指数 : 6
出版物: 45
Forward-in-Time Goal-Oriented Adaptivity
Judit Muñoz‐Matute , David Pardo , Victor M. Calo , Elisabete Alberdi
International Journal for Numerical Methods in Engineering 119 ( 6) 490 -505
2019
Exploiting the Kronecker product structure of φ− functions in exponential integrators
Judit Muñoz‐Matute , David Pardo , Victor M Calo
International Journal for Numerical Methods in Engineering 123 ( 9) 2142 -2161
8
2022
DPG-based time-marching-schemes for linear parabolic and hyperbolic partial differential equations
J Munoz-Matute , D Pardo , L Demkowicz
Graphical resolution of engineering problems using mathematical software
E Alberdi Celaya , MI Eguia Ribero , MJ Gonzalez Gomez , J Muñoz Matute
ICERI2016 Proceedings 6630 -6638
2
2016
MODELING THE N-QUEENS PROBLEM USING MATHEMATICAL SOFTWARE
E Alberdi Celaya , J Muñoz Matute
EDULEARN17 Proceedings 1321 -1330
2017
A PROPOSAL TO WORK THE DIGITAL COMPETENCE IN MATHEMATICS IN SECONDARY SCHOOL
E Alberdi Celaya , J Muñoz Matute , MI Eguia Ribero , MJ González Gómez
EDULEARN17 Proceedings 1277 -1286
2017
Time-domain goal-oriented adaptivity using pseudo-dual error representations
Judit Muñoz-Matute , Elisabete Alberdi , David Pardo , Victor M. Calo
Computer Methods in Applied Mechanics and Engineering 325 ( 1) 395 -415
3
2017
Explicit-in-Time Goal-Oriented Adaptivity
Judit Muñoz-Matute , Victor M. Calo , David Pardo , Elisabete Alberdi
Computer Methods in Applied Mechanics and Engineering 347 176 -200
3
2019
A DPG-based time-marching scheme for linear hyperbolic problems
Judit Muñoz-Matute , David Pardo , Leszek Demkowicz
Computer Methods in Applied Mechanics and Engineering 373 113539
2
2021
Variational formulations for explicit Runge-Kutta Methods
Judit Muñoz-Matute , David Pardo , Victor M. Calo , Elisabete Alberdi
Finite Elements in Analysis and Design 165 77 -93
1
2019
Equivalence between the DPG method and the Exponential Integrators for linear parabolic problems
Judit Muñoz-Matute , David Pardo , Leszek Demkowicz
Journal of Computational Physics 429 110016
2
2021
A Deep Double Ritz Method (D2RM) for solving Partial Differential Equations using Neural Networks
Carlos Uriarte , David Pardo , Ignacio Muga , Judit Muñoz-Matute
Computer Methods in Applied Mechanics and Engineering 405 115892
2023
Combining DPG in space with DPG time-marching scheme for the transient advection--reaction equation
Judit Muñoz-Matute , Leszek Demkowicz , Nathan V Roberts
Computer Methods in Applied Mechanics and Engineering 402 115471
2
2022
Error representation of the time-marching DPG scheme
Judit Muñoz-Matute , Leszek Demkowicz , David Pardo
Computer methods in applied mechanics and engineering 391 114480 -114480
6
2022
Robust Variational Physics-Informed Neural Networks
Sergio Rojas , Paweł Maczuga , Judit Muñoz-Matute , David Pardo
Computer Methods in Applied Mechanics and Engineering 425 116904 -116904
5
2024
An exponential integration generalized multiscale finite element method for parabolic problems
Luis F Contreras , David Pardo , Eduardo Abreu , Judit Muñoz-Matute
Journal of Computational Physics 479 112014 -112014
4
2023
Regularity-Conforming Neural Networks (ReCoNNs) for solving Partial Differential Equations
Jamie M Taylor , David Pardo , Judit Muñoz-Matute
arXiv preprint arXiv:2405.14110
2024
A Deep Double Ritz Method for solving Partial Differential Equations
Carlos Uriarte , David Pardo , Ignacio Muga , Judit Muñoz-Matute
arXiv e-prints arXiv: 2211.03627 -arXiv: 2211.03627
2022
Denboraren eremuan helburuetara orientatutako egokitzapena errorearen ez-ohiko adierazpenak erabilita
Judit Muñoz-Matute , Elisabete Alberdi Celaya , D Pardo , Victor M. Calo
II. Ikergazte Nazioarteko Ikerketa Euskaraz 10 -15
2017
The DPG method for the convection-reaction problem, revisited
Leszek Feliks Demkowicz , Nathan V Roberts , Judit Muñoz-Matute
Computational Methods in Applied Mathematics 23 ( 1) 93 -125
6
2023