Results 21 to 30 of about 5,201 (223)
A multigrid approach for two-dimensional simulation of semiconductor devices [PDF]
, 2022 S.57-67This paper presents a multigrid approach using adaptive local refinements for the two-dimensional simulation of semiconductor devices. Careful modifications and extensions are necessary to ensure robustness and to achieve usual multigrid ...
Constapel, R.
core
Adaptive Multigrid Methods in MPI [PDF]
, 2000 Adaptive multigrid methods solve partial differential equations through a discrete representation of the domain that introduces more points in those zones where the equation behavior is highly irregular. The distribution of the points changes at run time in a way that cannot be foreseen in advance.
BAIARDI, FABRIZIO +3 more
openaire +2 more sources
XAMG: A library for solving linear systems with multiple right-hand side vectors
SoftwareX, 2021 This paper presents the XAMG library for solving large sparse systems of linear algebraic equations with multiple right-hand side vectors. The library specializes, but is not limited, to the solution of linear systems obtained from the discretization of ...
Boris Krasnopolsky, Alexey Medvedev
doaj +1 more source
Application of multigrid NLS-4DVar in radar radial velocity data assimilation with WRF-ARW
Atmospheric and Oceanic Science Letters, 2019 The nonlinear least-squares four-dimensional variational assimilation (NLS-4DVar) method introduced here combines the merits of the ensemble Kalman filter and 4DVar assimilation methods.
Lu ZHANG, Xiangjun TIAN, Hongqin ZHANG
doaj +1 more source
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
doaj +1 more source
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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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 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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