Robust stability and preconditioning of Darcy-Forchheimer equations
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arXiv
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| Hauptverfasser: | , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866917289902735360 |
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| author | Das, Rishi Hutridurga, Harsha Pani, Amiya K. Ruiz-Baier, Ricardo |
| author_facet | Das, Rishi Hutridurga, Harsha Pani, Amiya K. Ruiz-Baier, Ricardo |
| contents | We derive parameter-robust quasi-optimal error estimates for mixed finite element methods for the nonlinear Darcy--Forchheimer equations with mixed boundary conditions. Using the framework of operator preconditioning, we also design efficient block preconditioners for the linearised system, that exhibit robustness with respect to the coefficients that modulate permeability and inertia of the system. The properties of the formulation (parameter and mesh-size independence of the convergence rates) are illustrated by means of several numerical examples. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_24527 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Robust stability and preconditioning of Darcy-Forchheimer equations Das, Rishi Hutridurga, Harsha Pani, Amiya K. Ruiz-Baier, Ricardo Numerical Analysis 65N30, 65N12, 65N15 We derive parameter-robust quasi-optimal error estimates for mixed finite element methods for the nonlinear Darcy--Forchheimer equations with mixed boundary conditions. Using the framework of operator preconditioning, we also design efficient block preconditioners for the linearised system, that exhibit robustness with respect to the coefficients that modulate permeability and inertia of the system. The properties of the formulation (parameter and mesh-size independence of the convergence rates) are illustrated by means of several numerical examples. |
| title | Robust stability and preconditioning of Darcy-Forchheimer equations |
| topic | Numerical Analysis 65N30, 65N12, 65N15 |
| url | https://arxiv.org/abs/2510.24527 |