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Conjugate Gradient

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Paper (PDF) (2305.16432.pdf)

3.98 MBYichen Li, Peter Yichen Chen, Tao Du, Wojciech MatusikEN 16 pages
Researchers propose a learning-based method for preconditioning conjugate gradient (CG) solvers, which are used to solve large sparse linear systems
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Accelerated IRLS (Chen_Preconditioning_for_Accelerated_2014_CVPR_paper.pdf)

737 KBChen Chen, Junzhou Huang, Lei He, Hongsheng LiEN 8 pages
A novel algorithm for structured sparsity reconstruction is proposed, based on the iterative reweighted least squares (IRLS) framework and accelerated by the...
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Learning Discriminative Shrinkage Deep Networks for Image Deconvolution (2111.13876.pdf)

21.7 MBEN 19 pages
The method, called Discriminative Shrinkage Deep Network (DSDNet), formulates the data and regularization terms as learnable and splits the deconvolution model...
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PDF (392 KB) (epjconf_lattice2018_02002.pdf)

392 KBBacchio Simone, Alexandrou Constantia, Finkerath JacobEN 8 pages
Simulations at physical quark masses are affected by critical slowing down, which can be effectively dealt with using multigrid preconditioning.
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Nearest Correlation Matrix Algorithm (thesis.pdf)

807 KBEN 152 pages
Rudiger Borsdorf's 2007 Master of Science dissertation presents a Newton algorithm for finding the nearest correlation matrix, a problem that arises in various...

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