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We consider the iterative solution of symmetric saddle-point matrices with a singular leading block. We develop a new ideal positive definite block diagonal preconditioner that yields a preconditioned operator with four distinct…

Numerical Analysis · Mathematics 2022-06-29 Susanne Bradley , Chen Greif

We consider the iterative solution of symmetric saddle point systems with a rank-deficient leading block. We develop two preconditioners that, under certain assumptions on the rank structure of the system, yield a preconditioned matrix with…

Numerical Analysis · Computer Science 2018-07-24 Susanne Bradley

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

We consider the solution of saddle-point systems with a tree-based block structure, introducing a parallelizable direct method for their solution. As our key contribution, we then propose several structure-exploiting preconditioners to be…

Numerical Analysis · Mathematics 2024-11-01 Christoph Hansknecht , Bernhard Heinzelreiter , John W. Pearson , Andreas Potschka

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

In this paper, we study a class of inexact block triangular preconditioners for double saddle-point symmetric linear systems arising from the mixed finite element and mixed hybrid finite element discretization of Biot's poroelasticity…

Numerical Analysis · Mathematics 2025-07-02 Luca Bergamaschi , Massimiliano Ferronato , Angeles Martinez

In this paper, the generalized shift-splitting preconditioner is implemented for saddle point problems with symmetric positive definite (1,1)-block and symmetric positive semidefinite (2,2)-block. The proposed preconditioner is extracted…

Numerical Analysis · Mathematics 2015-03-03 Davod Khojasteh Salkuyeh , Mohsen Masoudi , Davod Hezari

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

Saddle-point systems, i.e., structured linear systems with symmetric matrices are considered. A modified implementation of (preconditioned) MINRES is derived which allows to monitor the norms of the subvectors individually. Compared to the…

Numerical Analysis · Mathematics 2016-09-08 Roland Herzog , Kirk M. Soodhalter

We develop eigenvalue bounds for symmetric, block tridiagonal multiple saddle-point linear systems, preconditioned with block diagonal matrices. We extend known results for $3 \times 3$ block systems [Bradley and Greif, IMA J.\ Numer. Anal.…

Numerical Analysis · Mathematics 2025-06-04 L. Bergamaschi , A. Martinez , J. W. Pearson , A. Potschka

We present a simple way to discretize and precondition mixed variational formulations. Our theory connects with, and takes advantage of, the classical theory of symmetric saddle point problems and the theory of preconditioning symmetric…

Numerical Analysis · Mathematics 2018-05-18 Constantin Bacuta , Jacob Jacavage

In this paper, we describe and analyze the spectral properties of a number of exact block preconditioners for a class of double saddle point problems. Among all these, we consider an inexact version of a block triangular preconditioner…

Numerical Analysis · Mathematics 2023-07-04 Fariba Balani Bakrani , Luca Bergamaschi , Angeles Martinez , Masoud Hajarian

We offer a classification of a broad and practically relevant class of symmetric double saddle-point system. At the core of the paper is the division of the associated matrices into ``block-arrow'' and ``block-tridiagonal'' forms. We…

Numerical Analysis · Mathematics 2026-05-15 Susanne Bradley , Chen Greif

Despite hundreds of papers on preconditioned linear systems of equations, there remains a significant lack of comprehensive performance benchmarks comparing various preconditioners for solving symmetric positive definite (SPD) systems. In…

Numerical Analysis · Mathematics 2025-05-28 Marc A. Tunnell , David F. Gleich

We study the performance of a new block preconditioner for a class of $3\times3$ block saddle point problems which arise from finite element methods for solving time-dependent Maxwell equations and some other practical problems. We also…

Numerical Analysis · Mathematics 2021-09-24 Maryam Abdolmaleki , Saeed Karimi , Davod Khojasteh Salkuyeh

In this paper we consider multiple saddle point problems with block tridiagonal Hessian in a Hilbert space setting. Well-posedness and the related issue of preconditioning are discussed. We give a characterization of all block structured…

Numerical Analysis · Mathematics 2019-12-23 Alexander Beigl , Jarle Sogn , Walter Zulehner

We consider the problem of iteratively solving large and sparse double saddle-point systems arising from the stationary Stokes-Darcy equations in two dimensions, discretized by the Marker-and-Cell (MAC) finite difference method. We analyze…

Numerical Analysis · Mathematics 2023-02-28 Chen Greif , Yunhui He

In this work, we propose a simple yet generic preconditioned Krylov subspace method for a large class of nonsymmetric block Toeplitz all-at-once systems arising from discretizing evolutionary partial differential equations. Namely, our main…

Numerical Analysis · Mathematics 2023-08-11 Sean Hon , Po Yin Fung , Jiamei Dong , Stefano Serra-Capizzano

The block structure of double saddle-point problems has prompted extensive research into efficient preconditioners. This paper introduces a novel class of three-by-three block preconditioners tailored for such systems from the…

Numerical Analysis · Mathematics 2025-12-09 Achraf Badahmane

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
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