Search Results for author: Raymond S. Tuminaro

Found 2 papers, 2 papers with code

Graph Neural Networks and Applied Linear Algebra

1 code implementation21 Oct 2023 Nicholas S. Moore, Eric C. Cyr, Peter Ohm, Christopher M. Siefert, Raymond S. Tuminaro

With the recent interest in scientific machine learning, it is natural to ask how sparse matrix computations can leverage neural networks (NN).

An Algebraic Sparsified Nested Dissection Algorithm Using Low-Rank Approximations

1 code implementation9 Jan 2019 Léopold Cambier, Chao Chen, Erik G Boman, Sivasankaran Rajamanickam, Raymond S. Tuminaro, Eric Darve

We evaluate the algorithm on some large problems show it exhibits near-linear scaling.

Numerical Analysis

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