35 citations · 209 across the 19 of their papers we have counts for
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math.NA2020★ 28 cited
Data-Driven Finite Elements Methods: Machine Learning Acceleration of Goal-Oriented Computations
Ignacio Brevis, Ignacio Muga, Kristoffer G. van der Zee
We introduce the concept of data-driven finite element methods. These are finite-element discretizations of partial differential equations (PDEs) that resolve quantities of interes…
math.NA2020★ 9 cited
Isogeometric Residual Minimization (iGRM) for Non-Stationary Stokes and Navier-Stokes Problems
Marcin Los, Ignacio Muga, Judit Munoz-Matute +1
We show that it is possible to obtain a linear computational cost FEM-based solver for non-stationary Stokes and Navier-Stokes equations. Our method employs a technique developed b…