nlTGCR: A Class of Nonlinear Acceleration Procedures Based on Conjugate Residuals
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Publication:6130649
DOI10.1137/23m1576360arXiv2306.00325MaRDI QIDQ6130649
Huan He, Unnamed Author, Yousef Saad, Yuanzhe Xi, Shifan Zhao
Publication date: 3 April 2024
Published in: SIAM Journal on Matrix Analysis and Applications (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2306.00325
Newton's methodAnderson accelerationdeep learninggeneralized conjugate residualnonlinear accelerationtruncated GCR
Artificial neural networks and deep learning (68T07) Numerical optimization and variational techniques (65K10) Methods of quasi-Newton type (90C53) Iterative numerical methods for linear systems (65F10) Approximation algorithms (68W25) Preconditioners for iterative methods (65F08)
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