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We consider block preconditioners for double saddle-point systems, and investigate the effect of approximating the nested Schur complement associated with the trailing diagonal block on the eigenvalue distribution of the preconditioned…

Numerical Analysis · Mathematics 2026-01-27 Chen Greif

A block diagonal preconditioner with the minimal residual method and a block triangular preconditioner with the generalized minimal residual method are developed for Hu-Zhang mixed finite element methods of linear elasticity. They are based…

Numerical Analysis · Mathematics 2016-05-24 Long Chen , Jun Hu , Xuehai Huang

In this paper, a class of new preconditioners based on matrix splitting are presented for generalized saddle-point linear systems, which can be viewed as further modified improvements of some recently published preconditioners. Moreover, we…

Numerical Analysis · Mathematics 2018-10-02 Zhao-Zheng Liang , Guo-Feng Zhang

We derive eigenvalue bounds for symmetric block-tridiagonal multiple saddle-point systems preconditioned with block-diagonal Schur complement matrices. This analysis applies to an arbitrary number of blocks and accounts for the case where…

Numerical Analysis · Mathematics 2026-02-06 Marco Pilotto , Luca Bergamaschi , Angeles Martinez

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

A transformed primal-dual (TPD) flow is developed for a class of nonlinear smooth saddle point system. The flow for the dual variable contains a Schur complement which is strongly convex. Exponential stability of the saddle point is…

Optimization and Control · Mathematics 2023-02-03 Long Chen , Jingrong Wei

We propose a novel preconditioned inexact primal-dual interior point method for constrained convex quadratic programming problems. The algorithm we describe invokes the preconditioned conjugate gradient method on a new reduced Schur…

Numerical Analysis · Mathematics 2021-12-28 Samah Karim , Edgar Solomonik

In this paper, we aim at solving the Biot model under stabilized finite element discretizations. To solve the resulting generalized saddle point linear systems, some iterative methods are proposed and compared. In the first method, we apply…

Numerical Analysis · Mathematics 2017-08-30 Mingchao Cai , Guoping Zhang

We consider the iterative solution of regularized saddle-point systems. When the leading block is symmetric and positive semi-definite on an appropriate subspace, Dollar, Gould, Schilders, and Wathen (2006) describe how to apply the…

Numerical Analysis · Mathematics 2021-01-06 Daniela di Serafino , Dominique Orban

A modification of the generalized shift-splitting (GSS) method is presented for solving singular saddle point problems. In this kind of modification, the diagonal shift matrix is replaced by a block diagonal matrix which is symmetric…

Numerical Analysis · Mathematics 2017-04-26 Davod Khojasteh Salkuyeh , Maryam Rahimian

We establish a new iterative method for solving a class of large and sparse linear systems of equations with three-by-three block coefficient matrices having saddle point structure. Convergence properties of the proposed method are studied…

Numerical Analysis · Mathematics 2021-09-13 Hamed Aslani , Davod Khojasteh Salkuyeh , Fatemeh Panjeh Ali Beik

When the obstacle problem of clamped Kirchhoff plates is discretized by a partition of unity method, the resulting discrete variational inequalities can be solved by a primal-dual active set algorithm. In this paper we develop and analyze…

Numerical Analysis · Mathematics 2018-09-18 Susanne C. Brenner , Christopher B. Davis , Li-yeng Sung

Numerical simulation of fracture contact poromechanics is essential for various applications, including CO2 sequestration, geothermal energy production and underground gas storage. Modeling this problem accurately presents significant…

Numerical Analysis · Mathematics 2025-01-14 Yury Zabegaev , Inga Berre , Eirik Keilegavlen , Kundan Kumar

Due to the indefiniteness and poor spectral properties, the discretized linear algebraic system of the vector Laplacian by mixed finite element methods is hard to solve. A block diagonal preconditioner has been developed and shown to be an…

Numerical Analysis · Mathematics 2016-01-19 Long Chen , Yongke Wu , Lin Zhong , Jie Zhou

We present a scalable approach to solve a class of elliptic partial differential equation (PDE)-constrained optimization problems with bound constraints. This approach utilizes a robust full-space interior-point (IP)-Gauss-Newton…

Optimization and Control · Mathematics 2024-10-22 Tucker Hartland , Cosmin G. Petra , Noemi Petra , Jingyi Wang

We study preconditioned proximal point methods for a class of saddle point problems, where the preconditioner decouples the overall proximal point method into an alternating primal--dual method. This is akin to the Chambolle--Pock method or…

Optimization and Control · Mathematics 2020-02-13 Tuomo Valkonen

In this paper, we describe and analyze the spectral properties of a symmetric positive definite inexact block preconditioner for a class of symmetric, double saddle-point linear systems. We develop a spectral analysis of the preconditioned…

Numerical Analysis · Mathematics 2024-05-27 Luca Bergamaschi , Angeles Martinez , John Pearson , Andreas Potschka

In this paper, we propose two efficient block preconditioners to solve the mass-conserved Ohta-Kawasaki equation with finite element discretization. We also study the spectral distribution of these two preconditioners, \textit{i.e.,} Schur…

Numerical Analysis · Mathematics 2025-07-21 Juan Zhang , Shifeng Li , Kai Jiang

If the Stokes equations are properly discretized, it is known that the Schur complement matrix is spectrally equivalent to the identity matrix. Moreover, in the case of simple geometries, it is often observed that most of its eigenvalues…

Numerical Analysis · Mathematics 2023-10-24 Vladislav Pimanov , Oleg Iliev , Ivan Oseledets , Ekaterina Muravleva

We derive novel, fast, and parameter-robust preconditioned iterative methods for steady and time-dependent Navier--Stokes control problems. Our approach may be applied to time-dependent problems which are discretized using backward Euler or…

Numerical Analysis · Mathematics 2021-08-03 Santolo Leveque , John W. Pearson