Results 111 to 120 of about 5,196 (222)
Report on the Copper Mountain Conference on Multigrid Methods [PDF]
, 2001 OAK B188 Report on the Copper Mountain Conference on Multigrid Methods. The Copper Mountain Conference on Multigrid Methods was held on April 11-16, 1999. Over 100 mathematicians from all over the world attended the meeting.
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OpenFOAM iterative methods efficiency analysis for linear systems solving
Труды Института системного программирования РАН, 2018 Significant part of the computational work in numerical simulations of technical systems, physical phenomena and technological processes is solving of linear algebraic equations systems arising from the discretization of the corresponding differential or
I. K. Marchevsky, V. V. Puzikova
doaj
Convolutional neural network-driven preconditioners for conjugate gradients
Machine Learning: Science and TechnologyWe present a data-driven approach for preconditioning large sparse symmetric positive definite linear systems using convolutional neural networks tailored for sparse tensor inputs.
Johannes Sappl +3 more
doaj +1 more source
Relaxation schemes for Chebyshev spectral multigrid methods
, 1993 Two relaxation schemes for Chebyshev spectral multigrid methods are presented for elliptic equations with Dirichlet boundary conditions. The first scheme is a pointwise-preconditioned Richardson relaxation scheme and the second is a line relaxation ...
Kang, Yimin, Fulton, Scott R.
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Criteria for the Approximation Property
, 2000 We extend the abstract frameworks for the multigrid analysis for nonconforming finite elements in [6, 4, 12] to the case where the assumptions of the second Strang Lemma are violated.
Nicolas Neuss +2 more
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Connections Between Numerical Algorithms for PDEs and Neural Networks. [PDF]
J Math Imaging Vis, 2023 Alt T +4 more
europepmc +1 more source
Implementation of Multigrid Methods
, 2017 The Multigrid methods are invented in 1960’s. The solutions for the many physical phenomena will lie in their governing equations. Finding solution to these types of equations will depend on the complexity of the problem. Thus solution for many phenomena
Velidi, Gurunadh +2 more
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Multigrid methods: Special topics and applications Papers
, 1987 SIGLECopy held by FIZ Karlsruhe; available from UB/TIB Hannover / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische Informationsbibliothek2.
Hackbusch, W. (eds.) +2 more
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All-at-once multigrid approaches for one-dimensional space-fractional diffusion equations. [PDF]
Calcolo, 2021 Donatelli M +3 more
europepmc +1 more source
Adaptive Mesh Refinement for Two-Phase Viscoelastic Fluid Mixture Models. [PDF]
Comput FluidsNagda BM +4 more
europepmc +1 more source