Pages that link to "Item:Q2679755"

The following pages link to Accelerating algebraic multigrid methods via artificial neural networks (Q2679755):

Displaying 7 items.

• Black-box learning of multigrid parameters (Q2291999) (← links)
• Machine learning based refinement strategies for polyhedral grids with applications to virtual element and polyhedral discontinuous Galerkin methods (Q2675603) (← links)
• On a multilevel Levenberg–Marquardt method for the training of artificial neural networks and its application to the solution of partial differential equations (Q5038185) (← links)
• Agglomeration of polygonal grids using graph neural networks with applications to multigrid solvers (Q6144203) (← links)
• Learning adaptive coarse basis functions of FETI-DP (Q6198156) (← links)
• Accelerating Algebraic Multigrid Methods via Artificial Neural Networks (Q6381965) (← links)
• Automated linear solver selection for simulation of multiphysics processes in porous media (Q6550170) (← links)