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20182023
most citedLinear solvers for power grid optimization problems: a review of GPU-accelerated linear solvers

43 citations · 113 across the 11 of their papers we have counts for

collaborators

11 papers

math.NA2023

Augmented Block-Arnoldi Recycling CFD Solvers

Stephen Thomas, Alison Baker, Stephane Gaudreault

One of the limitations of recycled GCRO methods is the large amount of computation required to orthogonalize the basis vectors of the newly generated Krylov subspace for the approx…

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.NA2021★ 1 cited

Neumann Series in GMRES and Algebraic Multigrid Smoothers

Stephen Thomas, Arielle Carr, Paul Mullowney +2

Neumann series underlie both Krylov methods and algebraic multigrid smoothers. A low-synch modified Gram-Schmidt (MGS)-GMRES algorithm is described that employs a Neumann series to…

math.NA2021

ILU Smoothers for Low Mach Navier-Stokes Pressure Solvers

Stephen Thomas, Arielle Carr, Paul Mullowney +2

Incomplete LU (ILU) smoothers are effective in the algebraic multigrid (AMG) -cycle for reducing high-frequency components of the error. However, the requisite direct triangular…

math.NA2021★ 3 cited

Performance of Low Synchronization Orthogonalization Methods in Anderson Accelerated Fixed Point Solvers

Shelby Lockhart, David J. Gardner, Carol S. Woodward +2

Anderson Acceleration (AA) is a method to accelerate the convergence of fixed point iterations for nonlinear, algebraic systems of equations. Due to the requirement of solving a le…

math.NA2021★ 43 cited

Linear solvers for power grid optimization problems: a review of GPU-accelerated linear solvers

Kasia Swirydowicz, Eric Darve, Wesley Jones +5

The linear equations that arise in interior methods for constrained optimization are sparse symmetric indefinite and become extremely ill-conditioned as the interior method converg…