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Saddle point problems have been attracting people's attention in recent years. To solve large and sparse saddle point problems, Uzawa type algorithms were proposed. The main contribution of this paper is to present a new Uzawa-exact type…

Optimization and Control · Mathematics 2018-02-20 Zhitao Xu , Ting Jiang , Li Gao

In this paper, we extend the inexact Uzawa algorithm in [Q. Hu, J. Zou, SIAM J. Matrix Anal., 23(2001), pp. 317-338] to the nonsymmetric generalized saddle point problem. The techniques used here are similar to those in [Bramble \emph{et…

Numerical Analysis · Mathematics 2014-08-26 Hailun Shen , Hua Xiang

The first order condition of the constrained minimization problem leads to a saddle point problem. A multigrid method using a multiplicative Schwarz smoother for saddle point problems can thus be interpreted as a successive subspace…

Numerical Analysis · Mathematics 2016-01-19 Long Chen

We propose an inexact Uzawa algorithm with two variable relaxation parameters for solving the generalized saddle-point system. The saddle-point problems can be found in a wide class of applications, such as the augmented Lagrangian…

Numerical Analysis · Mathematics 2014-08-26 Kazufumi Ito , Hua Xiang , Jun Zou

The solution of saddle-point problems, such as the Stokes equations, is a challenging task, especially in large-scale problems. Multigrid methods are one of the most efficient solvers for such systems of equations and can achieve…

Numerical Analysis · Mathematics 2022-04-13 S. Saberi , G. Meschke , A. Vogel

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…

Numerical Analysis · Mathematics 2016-01-08 Stefan Takacs

The Uzawa algorithm is an iterative method for the solution of saddle-point problems, which arise in many applications, including fluid dynamics. Viewing the Uzawa algorithm as a fixed- point iteration, we explore the use of Anderson…

Numerical Analysis · Mathematics 2016-05-24 Nguyenho Ho , Sarah D. Olson , Homer F. Walker

Saddle point problems arise in a variety of applications, e.g., when solving the Stokes equations. They can be formulated such that the system matrix is symmetric, but indefinite, so the variational convergence theory that is usually used…

Numerical Analysis · Mathematics 2022-03-14 Matthias Bolten , Marco Donatelli , Paola Ferrari , Isabella Furci

In this work, we propose three novel block-structured multigrid relaxation schemes based on distributive relaxation, Braess-Sarazin relaxation, and Uzawa relaxation, for solving the Stokes equations discretized by the mark-and-cell scheme.…

Numerical Analysis · Mathematics 2021-11-10 Yunhui He

Overlapping block smoothers efficiently damp the error contributions from highly oscillatory components within multigrid methods for the Stokes equations but they are computationally expensive. This paper is concentrated on the development…

Numerical Analysis · Mathematics 2020-08-21 Lisa Claus , Matthias Bolten

Unfitted finite element methods have emerged as a popular alternative to classical finite element methods for the solution of partial differential equations and allow modeling arbitrary geometries without the need for a boundary-conforming…

Numerical Analysis · Mathematics 2021-03-19 S. Saberi , G. Meschke , A. Vogel

We present new convergence estimates for the iterated penalty method applied to structure-preserving discretizations of linear generalized saddle point systems. The method may be viewed as an Uzawa iteration on an augmented Lagrangian…

Numerical Analysis · Mathematics 2026-05-27 Patrick E. Farrell , Michael Neilan , Charles Parker , L. Ridgway Scott

In this paper, we present a geometric multigrid methodology for the solution of matrix systems associated with isogeometric compatible discretizations of the generalized Stokes and Oseen problems. The methodology provably yields a pointwise…

Numerical Analysis · Mathematics 2017-05-26 Christopher Coley , Joseph Benzaken , John A. Evans

The main focus of this paper is the study of efficient multigrid methods for large linear systems with a particular saddle-point structure. Indeed, when the system matrix is symmetric, but indefinite, the variational convergence theory that…

Numerical Analysis · Mathematics 2023-08-30 Marco Donatelli , Matthias Bolten , Paola Ferrari , Isabella Furci

The design of fast solvers for isogeometric analysis is receiving a lot of attention due to the challenge that offers to find an algorithm with a robust convergence with respect to the spline degree. Here, we analyze the application of…

Numerical Analysis · Mathematics 2018-06-18 Álvaro Pé de la Riva , Carmen Rodrigo , Francisco J. Gaspar

In this paper, a fully aggregation-based algebraic multigrid strategy is developed for nonlinear contact problems of saddle point type using a mortar finite element approach. While the idea of extending multigrid methods to saddle point…

Computational Engineering, Finance, and Science · Computer Science 2023-08-25 Tobias A. Wiesner , Matthias Mayr , Alexander Popp , Michael W. Gee , Wolfgang A. Wall

In this work, a local Fourier analysis is presented to study the convergence of multigrid methods based on additive Schwarz smoothers. This analysis is presented as a general framework which allows us to study these smoothers for any type…

Convergence analysis of a nested iterative scheme proposed by Bank,Welfert and Yserentant (BWY) ([Numer. Math., 666: 645-666, 1990]) for solving saddle point system is presented. It is shown that this scheme converges under weaker…

Numerical Analysis · Mathematics 2018-04-13 Long Chen , Yongke Wu

In this manuscript, we present a collective multigrid algorithm to solve efficiently the large saddle-point systems of equations that typically arise in PDE-constrained optimization under uncertainty, and develop a novel convergence…

Optimization and Control · Mathematics 2024-05-20 Gabriele Ciaramella , Fabio Nobile , Tommaso Vanzan

In this paper, we execute the shift-splitting preconditioner for asymmetric saddle point problems with its (1,2) block's transposition unequal to its (2,1) block under the removed minus of its (2,1) block. The proposed preconditioner is…

Numerical Analysis · Mathematics 2021-09-13 Shi-Liang Wu , Davod Khojasteh Salkuyeh
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