| Isogeometric residual minimization method (iGRM) with direction splitting for non-stationary advection–diffusion problems M Łoś, J Munoz-Matute, I Muga, M Paszyński Computers & Mathematics with Applications 79 (2), 213-229, 2020 | 25 | 2020 |
| Equivalence between the DPG method and the exponential integrators for linear parabolic problems J Muñoz-Matute, D Pardo, L Demkowicz Journal of Computational Physics 429, 110016, 2021 | 19 | 2021 |
| Robust Variational Physics-Informed Neural Networks S Rojas, P Maczuga, J Muñoz-Matute, D Pardo, M Paszyński Computer Methods in Applied Mechanics and Engineering 425, 116904, 2024 | 17 | 2024 |
| A deep double Ritz method (D2RM) for solving partial differential equations using neural networks C Uriarte, D Pardo, I Muga, J Muñoz-Matute Computer Methods in Applied Mechanics and Engineering 405, 115892, 2023 | 17 | 2023 |
| A DPG-based time-marching scheme for linear hyperbolic problems J Muñoz-Matute, D Pardo, L Demkowicz Computer Methods in Applied Mechanics and Engineering 373, 113539, 2021 | 16 | 2021 |
| Explicit-in-time goal-oriented adaptivity J Muñoz-Matute, VM Calo, D Pardo, E Alberdi, KG van der Zee Computer Methods in Applied Mechanics and Engineering 347, 176-200, 2019 | 16 | 2019 |
| Time-domain goal-oriented adaptivity using pseudo-dual error representations J Muñoz-Matute, E Alberdi, D Pardo, VM Calo Computer Methods in Applied Mechanics and Engineering 325, 395-415, 2017 | 14 | 2017 |
| The DPG method for the convection-reaction problem, revisited LF Demkowicz, NV Roberts, J Muñoz-Matute Computational Methods in Applied Mathematics 23 (1), 93-125, 2023 | 10 | 2023 |
| Variational formulations for explicit Runge-Kutta methods J Muñoz-Matute, D Pardo, VM Calo, E Alberdi Finite Elements in Analysis and Design 165, 77-93, 2019 | 10 | 2019 |
| Exploiting Kronecker structure in exponential integrators: Fast approximation of the action of φ-functions of matrices via quadrature M Croci, J Muñoz-Matute Journal of Computational Science 67, 101966, 2023 | 9 | 2023 |
| Exploiting the Kronecker product structure of φ−functions in exponential integrators J Muñoz‐Matute, D Pardo, VM Calo International Journal for Numerical Methods in Engineering 123 (9), 2142-2161, 2022 | 9 | 2022 |
| Isogeometric residual minimization (iGRM) for non-stationary Stokes and Navier–Stokes problems M Łoś, I Muga, J Muñoz-Matute, M Paszyński Computers & Mathematics with Applications 95, 200-214, 2021 | 9* | 2021 |
| Combining DPG in space with DPG time-marching scheme for the transient advection–reaction equation J Munoz-Matute, L Demkowicz, NV Roberts Computer Methods in Applied Mechanics and Engineering 402, 115471, 2022 | 7 | 2022 |
| Error representation of the time-marching DPG scheme J Muñoz-Matute, L Demkowicz, D Pardo Computer methods in applied mechanics and engineering 391, 114480, 2022 | 7 | 2022 |
| An exponential integration generalized multiscale finite element method for parabolic problems LF Contreras, D Pardo, E Abreu, J Muñoz-Matute, C Díaz, J Galvis Journal of Computational Physics 479, 112014, 2023 | 6 | 2023 |
| Isogeometric residual minimization (iGRM) for non-stationary Stokes and Navier-Stokes problems M Los, I Muga, J Munoz-Matute, M Paszynski arXiv preprint arXiv:2001.00178, 2020 | 6 | 2020 |
| Forward‐in‐time goal‐oriented adaptivity J Muñoz‐Matute, D Pardo, VM Calo, E Alberdi International Journal for Numerical Methods in Engineering 119 (6), 490-505, 2019 | 5 | 2019 |
| Graphical resolution of engineering problems using mathematical software EA Celaya, MIE Ribero, MJG Gomez, JM Matute ICERI2016 Proceedings, 6630-6638, 2016 | 2 | 2016 |
| Regularity-Conforming Neural Networks (ReCoNNs) for solving Partial Differential Equations JM Taylor, D Pardo, J Muñoz-Matute arXiv preprint arXiv:2405.14110, 2024 | 1 | 2024 |
| Multistage DPG time-marching scheme for nonlinear problems J Muñoz-Matute, L Demkowicz arXiv preprint arXiv:2309.00069, 2023 | 1 | 2023 |
David PardoIkerbasque, University of the Basque Country (UPV/EHU), and BCAMEmail yang diverifikasi di ehu.eus
