| A new projected variant of the deflated block conjugate gradient method YF Xiang, YF Jing, TZ Huang Journal of Scientific Computing 80, 1116-1138, 2019 | 6 | 2019 |
| A block minimum residual norm subspace solver with partial convergence management for sequences of linear systems L Giraud, YF Jing, Y Xiang SIAM Journal on Matrix Analysis and Applications 43 (2), 710-739, 2022 | 4 | 2022 |
| Solution of large linear systems with a massive number of right-hand sides and machine learning YF Xiang Université de Bordeaux, 2022 | 3 | 2022 |
| A block minimum residual norm subspace solver for sequences of multiple left and right-hand side linear systems L Giraud, YF Jing, Y Xiang Inria Bordeaux Sud-Ouest, 2021 | 2 | 2021 |
| Neural operator preconditioning for accelerating the solution of the parametric Helmholtz equations Y Xiang, L Giraud, P Mycek, M Shpakovych, C Kruse 2024 SIAM Conference on Applied Linear Algebra (SIAM LA24), 2, 2024 | | 2024 |
| Randomized LOBPCG algorithm with dimension reduction maps Y Xiang Inria Centre at the University of Bordeaux; Inria Paris, 2024 | | 2024 |
| Hybridization of Machine Learning and Numerical Linear Algebra Techniques for Scientific Computing: Learned Minimum Residual Solvers for the Helmholtz Equations Y Xiang, L Giraud, P Mycek, C Kruse 2023 SIAM Conference on Computational Science and Engineering (SIAM CSE23), 2023 | | 2023 |
Giraud LucInriaVerified email at inria.fr
