Results 21 to 30 of about 5,196 (222)
Multigrid methods for improving the variational data assimilation in numerical weather prediction [PDF]
Tellus: Series A, Dynamic Meteorology and Oceanography, 2014 Two conditions are needed to solve numerical weather prediction models: initial condition and boundary condition. The initial condition has an especially important bearing on the model performance.
Youn-Hee Kang +2 more
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Nonlinear Multigrid Implementation for the Two-Dimensional Cahn–Hilliard Equation
Mathematics, 2020 We present a nonlinear multigrid implementation for the two-dimensional Cahn−Hilliard (CH) equation and conduct detailed numerical tests to explore the performance of the multigrid method for the CH equation.
Chaeyoung Lee +3 more
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An adaptive-smoothing multigrid method for the Navier-Stokes equations
, 2022 S.94-100The paper presents the development and investigation of an adaptive-smoothing (AS) procedure in conjunction with a full multigrid (FMG) - full approximation storage (FAS) method.
Drikakis, D., Iliev, O., Vassileva, D.
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A numerical solution of parabolic quasi-variational inequality nonlinear using Newton-multigrid method [PDF]
Iranian Journal of Numerical Analysis and OptimizationIn this article, we apply three numerical methods to study the L∞-convergence of the Newton-multigrid method for parabolic quasi-variational inequalities with a nonlinear right-hand side.
M. Bahi, M. Beggas, N. Nesba, A. Imtiaz
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Surrogate modeling of fluid dynamics with a multigrid inspired neural network architecture
Machine Learning with Applications, 2021 Algebraic or geometric multigrid methods are commonly used in numerical solvers as they are a multi-resolution method able to handle problems with multiple scales.
Quang Tuyen Le, Chinchun Ooi
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A Bayesian Reflection on Surfaces
Entropy, 1999 : The topic of this paper is a novel Bayesian continuous-basis field representation and inference framework. Within this paper several problems are solved: The maximally informative inference of continuous-basis fields, that is where the basis for the ...
David R. Wolf
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The Athena++ Adaptive Mesh Refinement Framework: Multigrid Solvers for Self-gravity
The Astrophysical Journal Supplement Series, 2023 We describe the implementation of multigrid solvers in the Athena++ adaptive mesh refinement (AMR) framework and their application to the solution of the Poisson equation for self-gravity.
Kengo Tomida, James M. Stone
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A reinforcement learning strategy to automate and accelerate h/p-multigrid solvers
Results in EngineeringWe explore a reinforcement learning strategy to automate and accelerate h/p-multigrid methods in high-order solvers. Multigrid methods are very efficient but require fine-tuning of numerical parameters, such as the number of smoothing sweeps per level ...
David Huergo +5 more
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Deflated GMRES with multigrid for lattice QCD
Physics Letters B, 2020 Lattice QCD solvers encounter critical slowing down for fine lattice spacings and small quark mass. Traditional matrix eigenvalue deflation is one approach to mitigating this problem.
Travis Whyte +2 more
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, 1991 "... papers presented at the Third European Conference on Multigrid Methods, which was held in Bonn, October 1-4, 1990.
Trottenberg, Ulrich +2 more
core +2 more sources