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Adam Wasiak

Publications and source records attributed to Adam Wasiak.

4 recordsLinked to original sources

Two-level additive Schwarz preconditioners with GDSW coarse spaces for high-order discretizations in 3D

Overlapping Schwarz methods are among the most successful domain decomposition preconditioners for large-scale finite element simulations. In this work, the Generalized Dryja-Smith-Widlund (GDSW), GDSW$^*$, and Reduced GDSW (RGDSW) coarse spaces are studied for three-dimensional high-order finite element method (FEM) and virtual element method (VEM) for the Poisson equation and the equations of linear elasticity. To the best of our knowledge, this is the first study of GDSW-type coarse spaces for polynomial degrees $k\ge 3$ in three dimensions, for either discretization. In 3D VEM, the face degrees of freedom (DOFs) are moments instead of point values. The kernel of the differential operator, which defines the interface values of the GDSW coarse basis functions, must be represented through these moments. The construction is therefore no longer purely algebraic and, without this correction, the coarse level loses its effect for $k\ge 3$. FEM and VEM are tested on hexahedral meshes, and VEM is additionally tested on polyhedral ones. Polynomial degrees up to $k=5$ and runs on up to $4\,096$ subdomains and parallel cores are included in the numerical study. Numerical experiments show scalable iteration counts for all coarse space variants for the Poisson problem, illustrating the expected trade-off between the coarse space size and robustness. Further experiments for linear elasticity confirms that the moment-based construction extends naturally from the scalar to the vector-valued problem.

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Two-level additive Schwarz preconditioners with GDSW coarse spaces for high-order discretizations in 2D

Two-level overlapping Schwarz preconditioners with Generalized Dryja-Smith-Widlund (GDSW) and Reduced GDSW (RGDSW) coarse spaces for high-order finite element methods (FEM) and virtual element methods (VEM) are investigated and applied to the Poisson problem in 2D. The GDSW coarse space is a well-established robust choice for preconditioners in domain decomposition, while the RGDSW coarse space offers a competitive alternative by reducing the coarse problem dimension while maintaining robustness. On the theoretical side, a condition number bound for both preconditioners is proved for conforming $\mathbb{P}_k$ and $\mathbb{Q}_k$ finite element spaces with explicit dependence on the polynomial degree $k$. Through numerical experiments on structured triangular and quadrilateral meshes for FEM and on polygonal meshes for VEM, it is demonstrated that both GDSW and RGDSW maintain scalability properties across polynomial orders up to $k=9$ for selected degrees. The RGDSW approach achieves a reduction in the coarse problem dimension by a factor of approximately three compared to GDSW while maintaining competitive iteration counts.

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Towards a parallel Schwarz solver framework for virtual elements using GDSW coarse spaces

The Virtual Element Method (VEM) is used to perform the discretization of the Poisson problem on polygonal and polyhedral meshes. This results in a symmetric positive definite linear system, which is solved iteratively using overlapping Schwarz domain decomposition preconditioners, where to ensure robustness and parallel scalability a second level has to be employed. The construction and numerical study of two-level overlapping Schwarz preconditioners with variants of the GDSW (Generalized Dryja-Smith-Widlund) coarse space are presented here. Our PETSc-based parallel implementation of GDSW and variants, combined with the Vem++ library, represent the first parallel application of these GDSW preconditioners to VEM. Numerical experiments in 2D and 3D demonstrate scalability of our preconditioners up to 1 000 parallel cores for VEM discretizations of degrees k=1,2.

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Monolithic overlapping Schwarz preconditioners for nonlinear finite element simulations of laser beam welding processes

Highly resolved finite element simulations of a laser beam welding process are considered. The thermomechanical behavior of this process is modeled with a set of thermoelasticity equations resulting in a nonlinear, nonsymmetric saddle point system. Newton's method is used to solve the nonlinearity and suitable domain decomposition preconditioners are applied to accelerate the convergence of the iterative method used to solve all linearized systems. Since a onelevel Schwarz preconditioner is in general not scalable, a second level has to be added. Therefore, the construction and numerical analysis of a monolithic, twolevel overlapping Schwarz approach with the GDSW (Generalized Dryja-Smith-Widlund) coarse space and an economic variant thereof are presented here.

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