Results 41 to 50 of about 11,516 (229)
Exacta, 2007 Neste trabalho, apresenta-se uma nova abordagem baseada em wavelets para o método multigrid algébrico, a qual consiste em utilizar uma variação da transformada discreta wavelet para construir a hierarquia de matrizes na fase de montagem do método ...
Fabio Henrique Pereira +1 more
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Известия высших учебных заведений. Поволжский регион: Физико-математические наукиBackground. The development of numerical methods for solving initial-boundary value problems for partial differential equations remains highly relevant today.
Ruslan V. Zhalnin, Michael S. Nefedov
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A Geometric Multigrid Method for 3D Magnetotelluric Forward Modeling Using Finite-Element Method
Remote Sensing, 2023 The traditional three-dimensional (3D) magnetotelluric (MT) forward modeling using Krylov subspace algorithms has the problem of low modeling efficiency.
Xianyang Huang +8 more
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Multigrid for Bundle Adjustment
CoRR, 2020 Bundle adjustment is an important global optimization step in many structure from motion pipelines. Performance is dependent on the speed of the linear solver used to compute steps towards the optimum. For large problems, the current state of the art scales superlinearly with the number of cameras in the problem.
Tristan Konolige, Jed Brown
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Multigrid with Nonstandard Coarsening
CoRR, 2020 We consider the numerical solution of Poisson's equation on structured grids using geometric multigrid with nonstandard coarse grids and coarse level operators. We are motivated by the problem of developing high-order accurate numerical solvers for elliptic boundary value problems on complex geometry using overset grids.
Kamala Liu, William D. Henshaw
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A multigrid approach for two-dimensional simulation of semiconductor devices
, 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
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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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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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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