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20172023
most citedAn overview of block Gram-Schmidt methods and their stability properties

35 citations · 66 across the 16 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

math.NA2022★ 2 cited

Towards understanding CG and GMRES through examples

Erin Carson, Jörg Liesen, Zdeněk Strakoš

When the CG method for solving linear algebraic systems was formulated about 70 years ago by Lanczos, Hestenes, and Stiefel, it was considered an iterative process possessing a mat…

math.NA2022

Using Mixed Precision in Low-Synchronization Reorthogonalized Block Classical Gram-Schmidt

Eda Oktay, Erin Carson

Using lower precision in algorithms can be beneficial in terms of reducing both computation and communication costs. Motivated by this, we aim to further the state-of-the-art in de…

math.NA2022★ 1 cited

Single-pass Nyström approximation in mixed precision

Erin Carson, Ieva Daužickaitė

Low rank matrix approximations appear in a number of scientific computing applications. We consider the Nyström method for approximating a positive semidefinite matrix . In the…

math.NA2022

Iterated Gauss-Seidel GMRES

Stephen Thomas, Erin Carson, Miro Rozložník +2

The GMRES algorithm of Saad and Schultz (1986) is an iterative method for approximately solving linear systems , with initial guess and residual ${\bf…

math.NA2022

Mixed Precision GMRES-based Iterative Refinement with Recycling

Eda Oktay, Erin Carson

With the emergence of mixed precision capabilities in hardware, iterative refinement schemes for solving linear systems have recently been revisited and reanalyzed in the co…

math.NA2022

Mixed Precision Iterative Refinement with Sparse Approximate Inverse Preconditioning

Erin Carson, Noaman Khan

With the commercial availability of mixed precision hardware, mixed precision GMRES-based iterative refinement schemes have emerged as popular approaches for solving sparse linear…