May 28, 2024 · We consider three approaches to IR for least-squares problems when two precisions are used and review their theoretical guarantees, known shortcomings.
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We consider three approaches to IR for least-squares problems when two precisions are used and review their theoretical guarantees, known shortcomings and when ...
Sep 12, 2024 · It is shown that the IR methods exhibit different sensitivities to the conditioning of the problem and the size of the least-squares residual, ...
Various approaches to iterative refinement (IR) for least-squares problems have been proposed in the literature and it may not be clear which approach is ...
Article "A comparison of mixed precision iterative refinement approaches for least-squares problems" Detailed information of the J-GLOBAL is an information ...
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Oct 12, 2024 · Sketching-based preconditioners have been shown to accelerate the solution of dense least-squares problems with coefficient matrices having ...
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Aug 9, 2024 · Erin Carson, Ieva Daužickaitė, A comparison of mixed precision iterative refinement approaches for least-squares problems, arXiv:2405.18363, May ...
We build an iterative refinement algorithm called GMRES-LSIR, analogous to the GMRES-IR algorithm developed for linear systems.
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Jun 24, 2024 · In this paper, we propose mixed precision iterative refinement algorithms for two variants of the least squares problem -- the least squares ...
Missing: comparison approaches
2 Excerpts. A comparison of mixed precision iterative refinement approaches for least-squares problems · Erin C. CarsonIeva Daužickaitė. Mathematics ...