Generalizing reduction‐based algebraic multigrid
Algebraic multigrid (AMG) methods are often robust and effective solvers for solving the
large and sparse linear systems that arise from discretized PDEs and other problems …
large and sparse linear systems that arise from discretized PDEs and other problems …
An aggregation-based algebraic multigrid method with deflation techniques and modified generic factored approximate sparse inverses
In this paper, we examine deflation-based algebraic multigrid methods for solving large
systems of linear equations. Aggregation of the unknown terms is applied for coarsening …
systems of linear equations. Aggregation of the unknown terms is applied for coarsening …
On the numerical modeling of convection-diffusion problems by finite element multigrid preconditioning methods
CK Filelis-Papadopoulos, GA Gravvanis… - Advances in Engineering …, 2014 - Elsevier
During the last decades, multigrid methods have been extensively used in order to solve
large scale linear systems derived from the discretization of partial differential equations …
large scale linear systems derived from the discretization of partial differential equations …
Parallel multigrid algorithms based on generic approximate sparse inverses: an SMP approach
CK Filelis-Papadopoulos, GA Gravvanis - The Journal of Supercomputing, 2014 - Springer
New parallel computational techniques are introduced for the parallelization of Generic
Approximate Sparse Inverse multigrid methods, based on Portable Operating System …
Approximate Sparse Inverse multigrid methods, based on Portable Operating System …
On numerical modeling performance of generalized preconditioned methods
GA Gravvanis, CK Filelis-Papadopoulos… - Proceedings of the 6th …, 2013 - dl.acm.org
During the last decades, research efforts have been focused on the derivation of effective
preconditioned iterative methods. The preconditioned iterative methods are mainly …
preconditioned iterative methods. The preconditioned iterative methods are mainly …
Parallel N‐Body Simulation Based on the PM and P3M Methods Using Multigrid Schemes in conjunction with Generic Approximate Sparse Inverses
PE Kyziropoulos… - Mathematical …, 2015 - Wiley Online Library
During the last decades, Multigrid methods have been extensively used for solving large
sparse linear systems. Considering their efficiency and the convergence behavior, Multigrid …
sparse linear systems. Considering their efficiency and the convergence behavior, Multigrid …
[PDF][PDF] A New Efficient Matrix Algorithm for a 3D Component Mode Synthesis (CMS) Model Used on Sound Transmission Problems
MDC Magalhaes - Computer Modeling in Engineering and …, 2015 - cdn.techscience.cn
The main goal of this study is to present an alternative and more efficient algorithm for a
three-dimensional Component Mode Synthesis model to be used on sound transmission …
three-dimensional Component Mode Synthesis model to be used on sound transmission …
Parallel multilevel recursive approximate inverse techniques for solving general sparse linear systems
AT Makaratzis, CK Filelis-Papadopoulos… - The Journal of …, 2016 - Springer
In this article, a new parallel multilevel algebraic recursive generic approximate inverse
solver (PMARGAIS) is proposed. PMARGAIS utilizes the parallel modified generic factored …
solver (PMARGAIS) is proposed. PMARGAIS utilizes the parallel modified generic factored …