Freese, Jan PhilipJan PhilipFreeseGallistl, DietmarDietmarGallistlPeterseim, DanielDanielPeterseimSprekeler, TimoTimoSprekeler2023-08-212023-08-212024-07-01Computational Methods in Applied Mathematics 24 (3): 649-672 (2024-07-01)https://hdl.handle.net/11420/42796This paper proposes novel computational multiscale methods for linear second-order elliptic partial differential equations in nondivergence form with heterogeneous coefficients satisfying a Cordes condition. The construction follows the methodology of localized orthogonal decomposition (LOD) and provides operator-adapted coarse spaces by solving localized cell problems on a fine scale in the spirit of numerical homogenization. The degrees of freedom of the coarse spaces are related to nonconforming and mixed finite element methods for homogeneous problems. The rigorous error analysis of one exemplary approach shows that the favorable properties of the LOD methodology known from divergence-form PDEs, i.e., its applicability and accuracy beyond scale separation and periodicity, remain valid for problems in nondivergence form.en1609-4840Computational Methods in Applied Mathematics20243649672https://creativecommons.org/licenses/by/4.0/Finite Element MethodsLocalized Orthogonal DecompositionNondivergence-Form Elliptic PDENumerical HomogenizationMathematicsComputational multiscale methods for nondivergence-form elliptic partial differential equationsJournal Article10.15480/882.826110.1515/cmam-2023-004010.15480/882.8261Journal Article