Results 71 to 80 of about 11,516 (229)
Physics of FluidsGreenLearning networks (GL) [Boulle et al., Sci. Rep. 12, 4824 (2022)] directly learn Green's function in physical space, making them an interpretable model for capturing unknown solution operators of partial differential equations (PDEs). For many PDEs, the corresponding Green's function exhibits asymptotic smoothness.
Ye Lin, Youngju Lee, Jiwei Jia
openaire +2 more sources
Solid Mechanics Segregated Solver Acceleration With Jacobian‐Free Newton‐Krylov
International Journal for Numerical Methods in Engineering, Volume 127, Issue 11, 15 June 2026.ABSTRACT The segregated algorithm is a common approach for finite volumes solvers in solid mechanics, providing a memory‐efficient and straightforward implementation. Due to the inter‐coupling of the components through the source terms, it suffers from a slow convergence behavior in specific scenarios, such as geometries with significantly uneven ...
Andry Monlon +5 more
wiley +1 more source
Simulação de reservatórios de petróleo utilizando o método EbFVM e multigrid algébrico [PDF]
, 2006 Tese (doutorado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Engenharia MecânicaEste trabalho propõe uma metodologia numérica para a simulação do escoamento multifásico em reservatórios de petróleo ...
Cordazzo, Jonas
core
Defect corrections and multigrid iterations
, 1982 At first we demonstrate how any defect correction iteration may be combined with an iterative procedure for its effective solution operator and derive a bound on the convergence factor for the combined iterative process.
Auzinger, Winfried, Stetter, Hans J.
core +1 more source
A full multigrid method for semilinear elliptic equation [PDF]
, 2017 summary:A full multigrid finite element method is proposed for semilinear elliptic equations. The main idea is to transform the solution of the semilinear problem into a series of solutions of the corresponding linear boundary value problems on the ...
Xie, Hehu, Xu, Fei
core +1 more source
Open Mathematics, 2023 Numerical methods for computing Steklov eigenvalues have attracted the attention of academia for their important physical background and wide applications.
Xie Jiali, Bi Hai
doaj +1 more source
Multigrid Neural Architectures [PDF]
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 updated with ImageNet results; to appear at CVPR ...
Tsung-Wei Ke +2 more
openaire +3 more sources
NMR in Biomedicine, Volume 39, Issue 6, June 2026.Electromagnetic interference (EMI) is a significant challenge for low‐field MRI. Traditional EMI mitigation approaches either limit portability or demand advanced hardware. We present FENCE (Flexible Electromagnetic Noise reduCtion Endo‐shield), a novel approach for EMI mitigation using flexible PCBs placed inside the RF coil.
Julia Pfitzer +2 more
wiley +1 more source
Numerical Linear Algebra with Applications, Volume 33, Issue 3, June 2026.ABSTRACT In this paper, we assess the performance of adaptive and nested factorized sparse approximate inverses as smoothers in multilevel V‐cycles, when smoothing is performed following the Chebyshev iteration of the fourth kind, for the efficient solution of linear systems arising from a conforming discretization of higher‐order partial differential ...
Pablo Jiménez Recio +1 more
wiley +1 more source
Multigrid accelerated simulations for Twisted Mass fermions
EPJ Web of Conferences, 2018 Simulations at physical quark masses are affected by the critical slowing down of the solvers. Multigrid preconditioning has proved to deal effectively with this problem.
Bacchio Simone +2 more
doaj +1 more source