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Pre-Publicación 2022-36

Gabriel R. Barrenechea, Antonio Tadeu A. Gomes, Diego Paredes:

A multiscale hybrid method


In this work we propose, analyze, and test a new multiscale finite element method called Multiscale Hybrid (MH) method. The method is built as a close relative to the Multiscale Hybrid Mixed (MHM) method, but with the fundamental difference that a novel definition of the Lagrange multiplier is introduced. The practical implication of this is that both the local problems to compute the basis functions, as well as the global problem, are elliptic, as opposed to the MHM method (and also other previous methods) where a mixed global problem is solved, and constrained local problems are solved to compute the local basis functions. The error analysis of the method is based on a hybrid formulation, and a static condensation process is done at the discrete level, so the final global system only involves the Lagrange multipliers. We tested the performance of the method by means of numerical experiments for problems with multiscale coefficients, and we carried out comparisons with the MHM method in terms of performance, accuracy, and memory requirements.

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Esta prepublicacion dio origen a la(s) siguiente(s) publicación(es) definitiva(s):

Gabriel R. BARRENECHEA, Antonio Tadeu A. GOMES, Diego PAREDES: A multiscale hybrid method. SIAM Journal on Scientific Computing, vol. 46, 3, pp. A1628-A1657, (2024).