A review of algebraic multigrid
By K. Stüben. 2001
689 citations recorded by the source corpus.
Subfields: Computational Mechanics, Computational Theory and Mathematics, Numerical Analysis
View Paper: https://www.semanticscholar.org/paper/a16a061673690dd2f7cb8ac46db6132d9d6abcc4
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In Computational Mechanics
- Haibo Dong
- Rajat Mittal
- Meliha Bozkurttas
- Martin J. Blunt
- M. Nejati
- Branko Bijeljic
- Michele Benzi
- M. Gomez
In Computational Theory and Mathematics
- M. Gomez
- Michele Benzi
- Insa Neuweiler
- Thomas Wöhling
- R. Tuminaro
- Fady M. Najjar
- A. Paluszny
- Rajat Mittal
In Numerical Analysis
- Michele Benzi
- Fady M. Najjar
- A. Paluszny
- Insa Neuweiler
- Rajat Mittal
- R. Zimmerman
- Stefan Vandewalle
- Martin J. Gander
Citations in the corpus
- Finite difference methods for ordinary and partial differential equations - steady-state and time-dependent problems (2007, background): “This more general approach is called algebraic multigrid (AMG); see, for example, [76], [86].”
- Simulation of Flow and Dispersion on Pore-Space Images (2012, methodology): “To solve the resultant linear systems of equations, an algebraic multigrid technique has been used (Stüben 2001; Hackbusch 1985).”
- Analysis of the Parareal Time-Parallel Time-Integration Method (2007, background): “This type of smoother, which operates only on the fine grid points and leaves the coarse points unchanged, is sometimes called an F -smoother; see [30].”
- Modeling Soil Processes: Review, Key Challenges, and New Perspectives (2016, methodology): “, 1991), or algebraic multigrid methods like SAMG (Jones and Woodward, 2001; Stuben, 2001).”
- Neurobiology of Aging: Contents (2005, neutral): “Hence, it is the preferred choice for Algebraic Multigrid (AMG) algorithms, which only exploit information contained in the coefficient matrix [452, 468].”
- Enhanced mixing and reaction through flow focusing in heterogeneous porous media (2006, methodology): “The linear systems of equations resulting from spatial discretization were solved by a conjugate gradient solver with algebraic multigrid preconditioning [Stüben, 2001].”
- A versatile sharp interface immersed boundary method for incompressible flows with complex boundaries (2008, methodology): “In contrast, for unstructured body-conformal methods, one has to either resort to algebraic multigrid methods [45,46] or other more complex methods such as agglomeration multigrid [28].”
- Computations of Absolute Permeability on Micro-CT Images (2012, methodology): “Therefore, for flow simulations, we use PBM in conjunction with an algebraic multigrid solver to solve for the resultant linear systems of equations (Stüben 2001).”
- Impact of sampling volume on the probability density function of steady state concentration (2008, methodology): “The resulting systems of linear equations are solved by a (bi)conjugate gradient method with algebraic multigrid preconditioning [Stüben, 2001].”
- A comparison of eigensolvers for large‐scale 3D modal analysis using AMG‐preconditioned iterative methods (2005, background): “Several recent studies have demonstrated the viability of AMG preconditioners for problems in computational mechanics [1, 38] but to the best of our knowledge, there are no comparable studies for vibration analysis.”
- A discretization and multigrid solver for a Darcy–Stokes system of three dimensional vuggy porous media (2009, methodology): “Another tool used to deal with varying coefficients is algebraic multigrid [24, 27], in which geometric grids are not considered at all.”
- Preconditioning techniques for large linear systems: a survey (2002, methodology): “Notable examples of this trend are Dendy’s black box multigrid [110] and especially Ruge and Stüben’s algebraic multigrid (AMG) method [244] (see also the early papers [62, 159, 266] and the recent survey [267]).”
- A disk-shaped domain integral method for the computation of stress intensity factors using tetrahedral meshes (2015, methodology): “The system of equations resulting from the finite element method accumulation is solved using the Fraunhofer SAMG Solver (Stüben, 2001).”