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A well-known strategy for building effective preconditioners for higher-order discretizations of some PDEs, such as Poisson's equation, is to leverage effective preconditioners for their low-order analogs. In this work, we show that…

数值分析 · 数学 2023-06-13 Alexey Voronin , Yunhui He , Scott MacLachlan , Luke N. Olson , Ray Tuminaro

This paper presents a matrix-free multigrid method for solving the Stokes problem, discretized using $H^{\text{div}}$-conforming discontinuous Galerkin methods. We employ a Schur complement method combined with the fast diagonalization…

数值分析 · 数学 2025-06-23 Cu Cui , Guido Kanschat

In the present paper we concentrate on an important issue in constructing a good multigrid solver: the choice of an efficient smoother. We will introduce all-at-once multigrid solvers for optimal control problems which show robust…

数值分析 · 数学 2016-01-08 Stefan Takacs

We design new approximation algorithms for the Multiway Cut problem, improving the previously known factor of 1.32388 [Buchbinder et al., 2013]. We proceed in three steps. First, we analyze the rounding scheme of Buchbinder et al., 2013 and…

数据结构与算法 · 计算机科学 2014-05-13 Ankit Sharma , Jan Vondrák

A discretization method with non-matching grids is proposed for the coupled Stokes-Darcy problem that uses a mortar variable at the interface to couple the marker and cell (MAC) method in the Stokes domain with the Raviart-Thomas mixed…

数值分析 · 数学 2024-02-19 Wietse M. Boon , Dennis Gläser , Rainer Helmig , Kilian Weishaupt , Ivan Yotov

In recent years, solvers for finite-element discretizations of linear or linearized saddle-point problems, like the Stokes and Oseen equations, have become well established. There are two main classes of preconditioners for such systems:…

数值分析 · 数学 2024-01-15 Lukas Spies , Luke Olson , Scott MacLachlan

Numerical simulation of incompressible fluid flows has been an active topic of research in Scientific Computing for many years, with many contributions to both discretizations and linear and nonlinear solvers. In this work, we propose an…

数值分析 · 数学 2025-12-16 Amin Rafiei , Scott MacLachlan

In this paper we present a Local Fourier Analysis of a space-time multigrid solver for a hyperbolic test problem. The space-time discretization is based on arbitrarily high order discontinuous Galerkin spectral element methods in time and a…

数值分析 · 数学 2021-12-07 Lea M. Versbach , Philipp Birken , Viktor Linders , Gregor Gassner

An efficient $hp$-multigrid scheme is presented for local discontinuous Galerkin (LDG) discretizations of elliptic problems, formulated around the idea of separately coarsening the underlying discrete gradient and divergence operators. We…

数值分析 · 数学 2019-03-14 Daniel Fortunato , Chris H. Rycroft , Robert Saye

Lattice QCD solvers encounter critical slowing down for fine lattice spacings and small quark mass. Traditional matrix eigenvalue deflation is one approach to mitigating this problem. However, to improve scaling we study the effects of…

高能物理 - 格点 · 物理学 2020-02-26 Travis Whyte , Walter Wilcox , Ronald B. Morgan

We investigate three directions to further improve the highly efficient Space-Time Multigrid algorithm with block-Jacobi smoother introduced in [GanNeu16]. First, we derive an analytical expression for the optimal smoothing parameter in the…

数值分析 · 数学 2023-02-28 Bastien Chaudet-Dumas , Martin J. Gander , Ausra Pogozelskyte

Local Fourier analysis is a useful tool for predicting and analyzing the performance of many efficient algorithms for the solution of discretized PDEs, such as multigrid and domain decomposition methods. The crucial aspect of local Fourier…

最优化与控制 · 数学 2020-07-29 Jed Brown , Yunhui He , Scott MacLachlan , Matt Menickelly , Stefan M. Wild

In this article, we discuss several classes of Uzawa smoothers for the application in multigrid methods in the context of saddle point problems. Beside commonly used variants, such as the inexact and block factorization version, we also…

数值分析 · 数学 2016-12-06 Lorenz John , Ulrich Rüde , Barbara Wohlmuth , Walter Zulehner

Multigrid methods have proven to be an invaluable tool to efficiently solve large sparse linear systems arising in the discretization of partial differential equations (PDEs). Algebraic multigrid methods and in particular adaptive algebraic…

数值分析 · 数学 2020-04-27 Hanno Gottschalk , Karsten Kahl

This paper provides a rounding-error analysis for two-grid methods that use one relaxation step both before and after coarsening. The analysis is based on floating point arithmetic and focuses on a two-grid scheme that is perturbed on the…

数值分析 · 数学 2023-07-04 Stephen F. McCormick , Rasmus Tamstorf

A marker-and-cell finite difference method is developed for solving the two dimensional and three dimensional linear elasticity in the displacement-stress formulation on staggered grids. The method employs a staggered grid arrangement,…

数值分析 · 数学 2026-01-13 Hongxing Rui , Weijie Wang

A fast multigrid solver is presented for high-order accurate Stokes problems discretised by local discontinuous Galerkin (LDG) methods. The multigrid algorithm consists of a simple V-cycle, using an element-wise block Gauss-Seidel smoother.…

数值分析 · 数学 2020-11-25 Robert Saye

In this paper, we present a novel local and parallel two-grid finite element scheme for solving the Stokes equations, and rigorously establish its a priori error estimates. The scheme admits simultaneously small scales of subproblems and…

数值分析 · 数学 2020-12-09 Yanren Hou , Feng Shi , Haibiao Zheng

The numerical analysis of higher-order mixed finite-element discretizations for saddle-point problems, such as the Stokes equations, has been well-studied in recent years. While the theory and practice of such discretizations is now…

数值分析 · 数学 2025-03-24 Amin Rafiei , Scott MacLachlan

We present a numerical formulation for the solution of non-isothermal, compressible, Navier-Stokes equations with thermal fluctuations to describe mesoscale transport phenomena in multispecies fluid mixtures. The novelty of our numerical…

流体动力学 · 物理学 2023-01-31 Ishan Srivastava , Daniel R. Ladiges , Andy J. Nonaka , Alejandro L. Garcia , John B. Bell