Results 41 to 50 of about 1,521 (186)
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
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Journal of Thermal Science and Technology, 2015 The computational efficiency of different composite schemes for the convection terms of the convection-diffusion equations is systematically studied in this paper.
Jingfa LI +4 more
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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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CoRR, 2019 We introduce a novel approach to endowing neural networks with emergent, long-term, large-scale memory. Distinct from strategies that connect neural networks to external memory banks via intricately crafted controllers and hand-designed attentional mechanisms, our memory is internal, distributed, co-located alongside computation, and implicitly ...
Tri Huynh +2 more
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Asia-Pacific Journal of Chemical Engineering, EarlyView.ABSTRACT Driven by the energy crisis and carbon neutrality goals, high‐efficiency heat exchange equipment has become a core demand in the industrial sector. The spiral grooved double‐pipe heat exchanger exhibits significant heat transfer enhancement advantages, yet it requires balancing heat transfer efficiency and pressure loss.
Yueyun Yang, Wei Li, Xiuzhi Xi, Neng Gao
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The Effect of Multigrid Parameters in a 3D Heat Diffusion Equation
International Journal of Applied Mechanics and Engineering, 2018 The aim of this paper is to reduce the necessary CPU time to solve the three-dimensional heat diffusion equation using Dirichlet boundary conditions. The finite difference method (FDM) is used to discretize the differential equations with a second-order ...
F. De Oliveira +2 more
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Neural Multigrid Architectures
2021 International Joint Conference on Neural Networks (IJCNN), 2021 We propose a convenient matrix-free neural architecture for the multigrid method. The architecture is simple enough to be implemented in less than fifty lines of code, yet it encompasses a large number of distinct multigrid solvers. We argue that a fixed neural network without dense layers can not realize an efficient iterative method. Because of that,
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Multigrid on Composite Meshes [PDF]
SIAM Journal on Scientific and Statistical Computing, 1987 The multigrid method is applied to the numerical solution of elliptic equations on general composite overlapping meshes. Computational results show that good convergence rates are obtained.
Henshaw, W. D., Chesshire, G.
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Influence of Structural and Environmental Parameters on Solar Air Collector Performance
Energy Science &Engineering, EarlyView.Increasing air gap depth and mass flow rate significantly enhances the thermal performance of solar air collectors, with optimal performance achieved at an 8.5 cm air gap and 0.01318 kg/s mass flow rate. Air gap depth is identified as the dominant factor influencing system efficiency.
Quankun Zhu +2 more
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Acta Scientiarum: Technology, 2022 In this work, we applied different extrapolation techniques in association with the multigrid method to discover which one is the most effective in reducing the iteration error and the processing time (CPU time), as well as in improving the convergence ...
Bruno Benato Rutyna +4 more
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