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20172021
most citedLocal Fourier analysis of Balancing Domain Decomposition by Constraints algorithms

13 citations · 17 across the 4 of their papers we have counts for

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8 papers · 1 filter

math.NA202113 cited

Local Fourier analysis of Balancing Domain Decomposition by Constraints algorithms

Jed Brown, Yunhui He, Scott MacLachlan

Local Fourier analysis is a commonly used tool for the analysis of multigrid and other multilevel algorithms, providing both insight into observed convergence rates and predictive…

math.NA20211 cited

Multigrid Reduction in Time for non-linear hyperbolic equations

Federico Danieli, Scott MacLachlan

Time-parallel algorithms seek greater concurrency by decomposing the temporal domain of a Partial Differential Equation (PDE), providing possibilities for accelerating the computat…

math.NA20203 cited

Monolithic Multigrid for Magnetohydrodynamics

J. H. Adler, T. Benson, E. C. Cyr +3

The magnetohydrodynamics (MHD) equations model a wide range of plasma physics applications and are characterized by a nonlinear system of partial differential equations that strong…

math.NA2019

Optimizing multigrid reduction-in-time (MGRIT) and Parareal coarse-grid operators for linear advection

Hans De Sterck, Robert D. Falgout, Stephanie Friedhoff +2

Parallel-in-time methods, such as multigrid reduction-in-time (MGRIT) and Parareal, provide an attractive option for increasing concurrency when simulating time-dependent PDEs in m…

math.NA2019

First-order system least squares finite-elements for singularly perturbed reaction-diffusion equations

James H. Adler, Scott MacLachlan, Niall Madden

We propose a new first-order-system least squares (FOSLS) finite-element discretization for singularly perturbed reaction-diffusion equations. Solutions to such problems feature la…

math.NA2019

A local Fourier analysis of additive Vanka relaxation for the Stokes equations

Patrick E. Farrell, Yunhui He, Scott P. MacLachlan

Multigrid methods are popular solution algorithms for many discretized PDEs, either as standalone iterative solvers or as preconditioners, due to their high efficiency. However, th…