
The author demonstrates that using a simple artificial neural network can generate an incomplete sparse Cholesky factorization as a preconditioner, outperforming traditional methods. The approach automates the process and provides a reliable solution without reducing the iteration count.


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Neural-Acceleration-of-Incomplete-Cholesky-Preconditioners-A-Neural-Network-Approach


Neural Acceleration of Incomplete Cholesky Preconditioners: A Neural Network Approach


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Neural networks can efficiently generate high-quality preconditioners for sparse matrices, outperforming traditional methods.


neural-acceleration-of-incomplete-cholesky-preconditioners-a-study-on-neural-network-based-preconditioning


Neural Acceleration of Incomplete Cholesky Preconditioners: A Study on Neural Network-Based Preconditioning
