Y Chen, TY Hou, Y Wang - Communications on Applied Mathematics and …, 2024 - Springer
We provide a concise review of the exponentially convergent multiscale finite element method (ExpMsFEM) for efficient model reduction of PDEs in heterogeneous media without …
M Chupeng, C Alber, R Scheichl - SIAM Journal on Numerical Analysis, 2023 - SIAM
In this paper, a generalized finite element (FE) method with optimal local approximation spaces for solving high-frequency heterogeneous Helmholtz problems is systematically …
We consider approximating the solution of the Helmholtz exterior Dirichlet problem for a nontrapping obstacle, with boundary data coming from plane-wave incidence, by the …
P Freese, M Hauck, D Peterseim - SIAM Journal on Scientific Computing, 2024 - SIAM
We propose a novel variant of the Localized Orthogonal Decomposition (LOD) method for time-harmonic scattering problems of Helmholtz type with high wavenumber. On a coarse …
C Ma - arXiv preprint arXiv:2311.08761, 2023 - arxiv.org
This work presents an abstract framework for the design, implementation, and analysis of the multiscale spectral generalized finite element method (MS-GFEM), a particular numerical …
DA Ammosov, NV Malysheva… - Journal of Computational …, 2024 - Elsevier
This paper develops a multiscale solver for the problem of two languages competing in a heterogeneous medium. The mathematical model contains terms for language group …
C Ma, C Alber, R Scheichl - arXiv preprint arXiv:2112.10544, 2021 - researchgate.net
In this paper, a generalized finite element method (GFEM) with optimal local approximation spaces for solving high-frequency heterogeneous Helmholtz problems is systematically …
A Strehlow, C Ma, R Scheichl - arXiv preprint arXiv:2408.16282, 2024 - arxiv.org
This paper proposes a two-level restricted additive Schwarz (RAS) method for multiscale PDEs, built on top of a multiscale spectral generalized finite element method (MS-GFEM) …
AJ Roberts - arXiv preprint arXiv:2407.03483, 2024 - arxiv.org
Homogenisation empowers the efficient macroscale system level prediction of physical problems with intricate microscale structures. Here we develop an innovative powerful …