Aug 15, 2021 · Multiscale algorithms are designed to represent the fine-scale details on a coarse grid and, thus, reduce the problems' size.

Nov 11, 2020 · Abstract:In this paper, we study temporal splitting algorithms for multiscale problems. The exact fine-grid spatial problems typically ...

Aug 15, 2021 · Multiscale algorithms are designed to represent the fine-scale details on a coarse grid and, thus, reduce the problems' size.

Mar 16, 2021 · These algorithms typically use multiscale basis functions or some derived effective properties to reduce the spatial complexity of the problem.

Nov 11, 2020 · In this paper, we study temporal splitting algorithms for multiscale problems. The exact fine-grid spatial problems typically require some ...

This paper studies temporal splitting algorithms for multisacle problems, aiming to reduce problem size by representing fine-scale details on a coarse grid.

In this paper, we study temporal splitting algorithms for multiscale problems. The exact fine-grid spatial problems typically require some reduction in ...

Temporal splitting algorithms for non-stationary multiscale problems. Efendiev, Y.; Pun, S.; Vabishchevich, P.N.. Journal of Computational Physics 439: 110375.

Oct 22, 2024 · In our splitting algorithms, we consider the decomposition of both the main operator of the system and the operator at the time derivative. Our ...

To enhance simulation speed, we propose a parallel algorithm for the multiscale flow problem that leverages the partially explicit temporal splitting scheme.