A machine-learning minimal-residual (ML-MRes) framework for goal-oriented finite element discretizations
(2020)
Journal Article
Brevis, I., Muga, I., & van der Zee, K. G. (2021). A machine-learning minimal-residual (ML-MRes) framework for goal-oriented finite element discretizations. Computers and Mathematics with Applications, 95, 186-199. https://doi.org/10.1016/j.camwa.2020.08.012
We introduce the concept of machine-learning minimal-residual (ML-MRes) finite element discretizations of partial differential equations (PDEs), which resolve quantities of interest with striking accuracy, regardless of the underlying mesh size. The... Read More about A machine-learning minimal-residual (ML-MRes) framework for goal-oriented finite element discretizations.