Optimal solutions employing an algebraic Variational Multiscale approach Part I: Steady Linear Problems
<|reference_start|>Optimal solutions employing an algebraic Variational Multiscale approach Part I: Steady Linear Problems: This work extends our previous study from S. Shrestha et al. (2024) by introducing a new abstract framework for Variational Multiscale (VMS) methods at the discrete level. We introduce the concept of what we define as the optimal projector and present an approach where the infinite-dimensional unresolved scales are approximated in a finite-dimensional subspace using the numerically computed Fine-Scale Greens' function of the underlying symmetric problem. The proposed approach involves solving the VMS problem on two separate meshes: a coarse mesh for the full PDE and a fine mesh for the symmetric part of the continuous differential operator. We consider the 1D and 2D steady advection-diffusion problems in both direct and mixed formulations as the test cases in this paper. Moreover, we demonstrate the working of this method using the Mimetic Spectral Element Method (MSEM), however, it may be applied to other Finite/Spectral Element or Isogeometric frameworks. Furthermore, we propose that VMS should not be viewed as a stabilisation technique; instead, the base scheme should be inherently stable, with VMS enhancing the solution quality by supplementing the base scheme.<|reference_end|>
@article{shrestha2024optimal,
    title={Optimal solutions employing an algebraic Variational Multiscale approach
  Part I: Steady Linear Problems},
    author={Suyash Shrestha, Marc Gerritsma, Gonzalo Rubio, Steven Hulshoff,
  Esteban Ferrer},
    journal={arXiv preprint arXiv:2409.05231},
    year={2024},
    archivePrefix={arXiv},
    eprint={2409.05231},
    primaryClass={math.NA cs.NA math-ph math.MP}
}