activity
20162024
most citedPreconditioning Parametrized Linear Systems

2 citations · 4 across the 7 of their papers we have counts for

collaborators

7 papers

math.NA2024

Implementing Recycling Methods for Linear Systems in Python with an Application to Multiple Objective Optimization

Ainara Garcia, Sihong Xie, Arielle Carr

Sequences of linear systems arise in the predictor-corrector method when computing the Pareto front for multi-objective optimization. Rather than discarding information generated w…

math.NA2022

Analysis of GMRES for Low-Rank and Small-Norm Perturbations of the Identity Matrix

Arielle K. Carr, Eric de Sturler, Mark Embree

In many applications, linear systems arise where the coefficient matrix takes the special form , where is the identity matrix of dimension $n…

cs.LG2022★ 1 cited

Efficient first-order predictor-corrector multiple objective optimization for fair misinformation detection

Eric Enouen, Katja Mathesius, Sean Wang +2

Multiple-objective optimization (MOO) aims to simultaneously optimize multiple conflicting objectives and has found important applications in machine learning, such as minimizing c…

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.NA2016★ 2 cited

Preconditioning Parametrized Linear Systems

Arielle Grim-McNally, Eric de Sturler, Serkan Gugercin

Preconditioners are generally essential for fast convergence in the iterative solution of linear systems of equations. However, the computation of a good preconditioner can be expe…