2 citations · 2 across the 2 of their papers we have counts for
3 papers
Graph Neural Networks and Applied Linear Algebra
Nicholas S. Moore, Eric C. Cyr, Peter Ohm +2
Sparse matrix computations are ubiquitous in scientific computing. With the recent interest in scientific machine learning, it is natural to ask how sparse matrix computations can…
Smooth Aggregation for Difficult Stretched Mesh and Coefficient Variation Problems
Jonathan J. Hu, Chris Siefert, Raymond S. Tuminaro
Four adaptations of the smoothed aggregation algebraic multigrid (SA-AMG) method are proposed with an eye towards improving the convergence and robustness of the solver in situatio…
Automating embedded analysis capabilities and managing software complexity in multiphysics simulation part II: application to partial differential equations
Roger P. Pawlowski, Eric T. Phipps, Andrew G. Salinger +3
A template-based generic programming approach was presented in a previous paper that separates the development effort of programming a physical model from that of computing additio…