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Graph Neural Networks and Applied Linear Algebra.

, , , , и . CoRR, (2023)

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Raymond Hoheisel

Raymond Freymann

Raymond Ellul

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Raymond Jarchow

 

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A Survey of Parallelization Techniques for Multigrid Solvers., , , , и . Parallel Processing for Scientific Computing, том 20 из Software, Environments, Tools, SIAM, (2006)Low-order preconditioning of the Stokes equations., , , , и . Numer. Linear Algebra Appl., (2022)A General Interpolation Strategy for Algebraic Multigrid Using Energy Minimization., , и . SIAM J. Sci. Comput., 33 (2): 966-991 (2011)Graph Neural Networks and Applied Linear Algebra., , , , и . CoRR, (2023)An Algebraic Multigrid Approach Based on a Compatible Gauge Reformulation of Maxwell's Equations., , , и . SIAM J. Sci. Comput., 31 (1): 557-583 (2008)On the Scalability of the Albany/FELIX first-order Stokes Approximation ice Sheet Solver for Large-Scale Simulations of the Greenland and Antarctic ice Sheets., , , , и . ICCS, том 51 из Procedia Computer Science, стр. 2026-2035. Elsevier, (2015)A comparison of eigensolvers for large‐scale 3D modal analysis using AMG‐preconditioned iterative methods, , , и . International Journal for Numerical Methods in Engineering, 64 (2): 204–236 (июня 2005)A new perspective on strength measures in algebraic multigrid., , и . Numerical Lin. Alg. with Applic., 17 (4): 713-733 (2010)An algebraic multigrid method for Q2-Q1 mixed discretizations of the Navier-Stokes equations., и . Numerical Lin. Alg. with Applic., (2017)Stabilization and scalable block preconditioning for the Navier–Stokes equations, , и . Journal of Computational Physics, 231 (2): 345-363 (2012)